Mobile Electronic Devices Research Articles

Flexible Composites with Rare-Earth Element Doped Polycrystalline Particles for Piezoelectric Nanogenerators

Energy harvesting plays an important role in advancing personalized wearables by enabling continuous monitoring, enhancing wearable functionality and facilitating sustainable solutions. We aimed to develop a flexible piezoelectric energy harvesting system based on inorganic piezoelectric materials that convert mechanical energy into electricity to power a wide range of mobile and portable electronic devices. There is significant interest in flexible piezoelectric energy harvesting systems that use inorganic piezoelectric materials due to their exceptional physical features and prospective applications. Herein, we successfully demonstrated a flexible piezoelectric nanogenerator (PENG) designed by the co-doped rare-earth element ceramics (RE-PMN-PT) embedded in PVDF and PDMS composite film and attained a significant output performance while avoiding electrical poling process. The impact of dielectric characteristics on the electrical output of nanogenerators was investigated, together with the structure of the composites. The Sm/La-PMN-PT particles effectively amplify both the voltage and current output, showcasing their potential to power portable and wearable devices, as demonstrated by their capacity to illuminate LEDs. The maximal output power of 2 mW was correlated with the high voltage (220 V) and current (90 µA) of Sm/La-PMN-PT/PVDF, which demonstrated that the device has the potential for energy harvesting in biomedical applications.

Oral Health Assessment for Older Residents in Long-Term Care Facilities Using Video Recording by a Mobile Electronic Device.

Many older adults who require long-term care need oral health management. However, access to dental care is limited, and connecting older patients with dental professionals is a future challenge. Therefore, the development of a remote oral health assessment system is required. This study aimed to investigate the usefulness of video-based oral health assessments in older adults residing in facilities. This study comprised 60 older adults residing in facilities who consented to dental home visit treatment by the Department of Oral Function Management at Showa University Dental Hospital between July 2021 and December 2022. The Oral Health Assessment Tool (OHAT) was used to evaluate the oral health status at the facilities by one dentist. The concordance of the oral health assessments conducted by this dentist at the facilities (OHAT-B) was compared with those conducted by the same dentist (OHAT-V1) and two other dentists (OHAT-V2 and V3) using approximately 1 min video recordings of the oral cavity taken with a mobile electronic device. On the OHAT total score, the intraclass correlation coefficient (ICC [1.1]) for OHAT-B and V1 was 0.931; the ICC (2.1) was 0.889 when compared with V2 and 0.788 when compared with V3. Moreover, the comparison between V2 and V3 showed high agreement, with an ICC (2.1) of 0.750. This study revealed that the oral health assessment of older adults residing in facilities using video recordings of the oral cavity taken with a mobile electronic device may be possible, suggesting the possibility of remote oral health assessment.

Ionic Covalent Organic Framework Solid-State Electrolytes.

Rechargeable secondary batteries, widely used in modern technology, are essential for mobile and consumer electronic devices and energy storage applications. Lithium (Li)-ion batteries are currently the most popular choice due to their decent energy density. However, the increasing demand for higher energy density has led to the development of Li metal batteries (LMBs). Despite their potential, the commonly used liquid electrolyte-based LMBs present serious safety concerns, such as dendrite growth and the risk of fire and explosion. To address these issues, using solid-state electrolytes in batteries has emerged as a promising solution. In this Perspective, recent advancements are discussed in ionic covalent organic framework (ICOFs)-based solid-state electrolytes, identify current challenges in the field, and propose future research directions. Highly crystalline ion conductors with polymeric versatility show promise as the next-generation solid-state electrolytes. Specifically, the use of anionic or cationic COFs is examined for Li-based batteries, highlight the high interfacial resistance caused by the intrinsic brittleness of crystalline ICOFs as the main limitation, and presents innovative ideas for developing all- and quasi-solid-state batteries using ICOF-based solid-state electrolytes. With these considerations and further developments, the potential for ICOFs is optimistic about enabling the realization of high-energy-density all-solid-state LMBs.

Designofhighperformancealuminum-airbatterybasedoncheapnon-preciousmetalcathodes

With the rapid development of areas such as mobile electronic devices and electric vehicles, environmental problems and energy problems have become increasingly prominent. Therefore, it is particularly important to develop green, safe, efficient, cheap, sustainable energy storage and large-scale application of energy storage devices. Aluminum-air battery is a device that converts the chemical energy of anode aluminum directly into electric energy through electrochemical reaction. The theoretical voltage of aluminum-air battery is high (2.75 V), large specific capacity (2.98 Ah/g), high specific energy (8.1 Wh/g), and metal aluminum is a high strength energy carrier, has the advantages of rich resources, low price, environment friendly, perfectly matching the current situation of power supply requirements. However, the existing aluminum-air batteries face the economic problem of high cost, due to the slow oxygen reduction reaction dynamics of the cathode and the use of the expensive precious metal Pt/C as a catalyst. In order to reduce the cost of aluminum-air batteries, this paper plans to use the cheap non-precious metal nano carbon materials as the cathode catalyst, and flexibly use the structural design to construct the structure of the aluminum-air battery with double cathodes, which effectively increases the cathode reaction area. In this paper, the discharge performance was studied by experimental method, and its peak power is 1.42 times that of the traditional single cathode battery, which has good catalytic performance and stability, and shows that the non-precious metal double-cathode structure battery is both practical and economical.

Electrospun Co-Ni mixed multiple oxidation states heterostructure for high-performance Li-ion battery

With the increasing prevalence of mobile electronic devices, electric vehicles, and other technological advancements, there is a growing demand for higher-capacity Lithium-ion batteries (LIBs). Metal-organic frameworks (MOFs) have been actively researched in recent years due to their numerous advantages. However, the irreversible collapse during lithium-ion interaction hampers MOFs’ electrochemical stability. This study employs a direct precipitation method to synthesize uniformly shaped MOF materials, followed by carbon coating using electrospinning techniques, and ultimately, derivatives of MOF materials are produced through annealing. Thanks to this innovative material design process, exceptional performance is observed in this material as a lithium-negative electrode. After 1000 cycles at a high current density of 1 A g−1, its reversible capacity stabilizes at 1318 mAh g−1. Moreover, this negative electrode material exhibits exceptional rate performance at various current densities. The Co3O4/NiO@NCNFs electrode demonstrates enhanced charge storage capacity due to the synergistic effects of diffusion and capacitance control processes. Additionally, this material exhibits characteristics of low impedance and high lithium-ion diffusion rate. This study presents a novel method for manufacturing lithium-ion battery negative electrode materials by integrating MOF materials with electrospinning technology.

Towards malaria elimination: a reflection about digital notification modules to improve malaria cases notification speed and follow-up in the Brazilian Amazon region

BackgroundHealth information systems (HIS) are a pivotal element in epidemiological surveillance. In Brazil, malaria persists as a public health challenge, with 99% of its occurrences concentrated in the Amazon region, where cases are reported through the HIS Sivep-Malaria. Recent technological advancements indicate that case notifications can be expedited through more efficient systems with broader coverage. The objective of this study is to analyse opportunities for notification within Sivep-Malaria and explore the implementation of mobile electronic devices and applications to enhance the performance of malaria case notifications and use.MethodsThis descriptive study analyses data on malaria-positive cases in the Brazilian Amazon from 2004 to 2022. Malaria Epidemiological Surveillance System (Sivep-Malaria) data were used. The Brazilian Amazon region area is approximately 5 million km2 across nine different states in Brazil. Data entry opportunities were assessed by considering the time difference between the 'date of data entry' and the 'date of notification.' Descriptive statistics, including analyses of means and medians, were conducted across the entire Amazon region, and for indigenous population villages and gold mining areas.ResultsBetween 2004 and 2022, 6,176,878 new malaria cases were recorded in Brazil. The average data entry opportunity throughout the period was 17.9 days, with a median of 8 days. The most frequently occurring value was 1 day, and 99% of all notifications were entered within 138 days, with 75.0% entered within 20 days after notification. The states with the poorest data entry opportunities were Roraima and Tocantins, with averages of 31.3 and 31.0 days, respectively. For indigenous population villages and gold mining areas, the median data entry opportunities were 23 and 15 days, respectively.ConclusionsIn malaria elimination, where surveillance is a primary strategy for evaluating each reported case, reducing notification time, enhancing data quality and being able to follow-up cases through computerized reports offer significant benefits for cases investigation. Technological improvements in Sivep-Malaria could yield substantial benefits for malaria control in Brazil, aiding the country in achieving disease elimination and fulfilling the Sustainable Development Goals.

Research on the design and balancing strategy with multi-section lithium battery protection IC

This study uses 0.5um BCD technology to design a multi section lithium battery protection chip suitable for small mobile electronic devices such as Bluetooth earphones and smart bracelets. By providing a complete system structure diagram, the principles and design methods of several key circuits in the chip were introduced. This chip can effectively monitor the voltage of lithium batteries, take protective measures against abnormal situations such as overcharging, discharging, and overcurrent, and has a balancing module with dynamic power consumption management function. The balancing module adopts a passive balancing architecture, and the balancing algorithm used is an average based voltage detection algorithm. Using this algorithm can make the balancing system structure simple and reduce system power consumption, reduce the differences between batteries within the group, and thus improve the uniformity of the battery pack. The overcharging detection accuracy of the designed chip is ±25mV, the overcharging detection accuracy is 50mV, and the static working current of the chip is 7uA.

Analysis and systematization of technical means and technologies of augmented reality in cartography

Relevance. In modern cartography, the introduction of advanced digital technologies is taking place continuously, increasing the quality and demand for cartographic products. One of such innovative directions is augmented reality technology, with which you can expand the content of the map using electronic mobile devices. The spread of augmented reality is facilitated by the widespread penetration of high-speed mobile Internet not only into large cities, but also in rural areas, as well as the reduction in the cost of electronic devices and services. Depending on the direction of application of augmented reality in cartography, the approach to the choice of software and hardware is changing. Aim. Analysis and systematization of the technical means and technologies of augmented reality in cartography. Objects. Augmented reality technologies in cartography, augmented reality technical means and their components. Methods. Content analysis of information on technologies, hardware and software for augmented reality in cartography. Results. The authors have analyzed hardware and software tools of augmented reality in cartography. They proposed the options for working with augmented reality in the form of scenario plans for three types of augmented reality in cartography: marker, markerless and spatial technologies. The minimum technical requirements of developers for the use of existing cartographic and navigation applications were highlighted. The paper considers a number of digital environments for implementation of augmented reality elements in cartography. The advantages of each of them were noted. The authors compiled a block diagram of a typical hardware-software complex of an augmented reality system in cartography and geoinformatics. They systematized types of sensors that solve geoinformation and cartographic tasks using augmented reality technologies.

Ultrasensitive detection of nucleic acid with a CRISPR/Cas12a empowered electrochemical sensor based on antimonene

Ultra-sensitive nucleic acid detection is important for rapid prevention of infectious diseases. Recently, clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated (Cas) systems with great target specificity and programmability have demonstrated amazing capabilities in the field of nucleic acid detection. However, most CRISPR/Cas systems-based strategies still rely on pre-amplification of nucleic acid, which limits their clinical application in point of care detection. Here, we designed a novel electrochemical CRISPR/Cas biosensor (called E-Sb CRISPR) that utilizes antimonene nanosheets (Sb NSs) modifications. Due to the strong interaction between Sb NSs and single stranded DNA (ssDNA), E-Sb CRISPR exhibited specific nucleic acid detection capabilities with a detection limit of 100 aM within 35 min. Notably, the sensor showed excellent selectivity to target DNA in serum in the presence of nucleus acid extracted from other viruses. The excellent stability (8 weeks) and reproducibility (50 cycles) of this sensor were observed. By developing microcircuits and software systems, rapid acquisition of detection results on mobile electronic devices is possible. Therefore, the E-Sb CRISPR showed great promise as a scalable nucleic acid detection platform for early diagnosis.

Research and Application of Visual Object Recognition System Based on Deep Learning and Neural Morphological Computation

The development of advanced optoelectronic vision sensors for high-level image recognition and data preprocessing is poised to accelerate the progress of machine vision and mobile electronic technology. Compared to traditional sensory computing methods, such as analog-to-digital signal conversion and digital logic computation tasks (i.e., Von Neumann computing), neural morphological vision computing can significantly improve energy efficiency and data processing speed by minimizing unnecessary raw data transmission between front-end photosensitive sensors and back-end processors. Neural morphological vision sensors are typically designed for tasks such as denoising, edge enhancement, spectral filtering, and visual information recognition. These methods can be categorized into approaches using near-sensor and sensor-internal computing processors based on whether preprocessing can be performed in situ. In near-sensor computing approaches, the image sensor for capturing visual information and the memory computing processor for preprocessing captured images are separate. A memory computing processor can simultaneously perform memory and computing tasks based on analog memory functions. Neural morphological vision sensors for in-sensor computing can be constructed using single-element image sensors, enabling both the reception of visual information and the execution of memory computing processes to be achieved in the same device. This represents an ideal scenario for future artificial intelligence machines and mobile electronic devices in visual computing systems.

Building digital patient pathways for the management and treatment of multiple sclerosis.

Recent advances in the field of artificial intelligence (AI) could yield new insights into the potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI opens new possibilities regarding the interpretation and use of big data from not only a cross-sectional, but also a longitudinal perspective. For each patient with MS, there is a vast amount of multimodal data being accumulated over time. But for the application of AI and related technologies, these data need to be available in a machine-readable format and need to be collected in a standardized and structured manner. Through the use of mobile electronic devices and the internet it has also become possible to provide healthcare services from remote and collect information on a patient's state of health outside of regular check-ups on site. Against this background, we argue that the concept of pathways in healthcare now could be applied to structure the collection of information across multiple devices and stakeholders in the virtual sphere, enabling us to exploit the full potential of AI technology by e.g., building digital twins. By going digital and using pathways, we can virtually link patients and their caregivers. Stakeholders then could rely on digital pathways for evidence-based guidance in the sequence of procedures and selection of therapy options based on advanced analytics supported by AI as well as for communication and education purposes. As far as we aware of, however, pathway modelling with respect to MS management and treatment has not been thoroughly investigated yet and still needs to be discussed. In this paper, we thus present our ideas for a modular-integrative framework for the development of digital patient pathways for MS treatment.

Continuous Ketone Monitoring via Wearable Microneedle Patch Platform.

Ketone bodies (KBs), especially β-hydroxybutyrate (BHB), have gained tremendous attention as potential biomarkers as their presence in bodily fluids is closely associated with health and wellness. While a variety of blood fingerstick test strips are available for self-testing of BHB, there are major needs for wearable devices capable of continuously tracking changing BHB concentrations. To address these needs, we present here the first demonstration of a wearable microneedle-based continuous ketone monitoring (CKM) in human interstitial fluid (ISF) and illustrate its ability to closely follow the intake of ketone drinks. To ensure highly stable and selective continuous detection of ISF BHB, the new enzymatic microneedle BHB sensor relies on a gold-coated platinum working electrode modified with a reagent layer containing toluidine blue O (TBO) redox mediator, β-hydroxybutyrate dehydrogenase (HBD) enzyme, a nicotinamide adenine dinucleotide (NAD+) cofactor, along with carbon nanotubes (CNTs), chitosan (Chit), and a poly(vinyl chloride) (PVC) outer protective layer. The skin-worn microneedle sensing device operates with a miniaturized electrochemical analyzer connected wirelessly to a mobile electronic device for capturing, processing, and displaying the data. Cytotoxicity and skin penetration studies indicate the absence of potential harmful effects. A pilot study involving multiple human subjects evaluated continuous BHB monitoring in human ISF, against gold standard BHB meter measurements, revealing the close correlation between the two methods. Such microneedle-based CKM offers considerable promise for dynamic BHB tracking toward the management of diabetic ketoacidosis and personal nutrition and wellness.

Navigating Brand Loyalty: The Dynamic Interplay of Engagement, Attachment, and Usage Patterns

Mobile electronic devices’ demand is greater than any other electronic device currently. This study aims to find the mechanism that creates Brand Loyalty through Brand Engagement in the context of the mobile industry, where market saturation makes it very difficult for organizations to gain it. This study determines the effectiveness of psychological drivers including Brand Awareness; Brand Image; Brand Psychological Ownership; and Value Congruity in developing Customer Brand Engagement, as well as to investigate the effect of Customer Brand Engagement on Behavioral Brand Loyalty through the mediating influence of Brand Awareness. The study also investigated the moderating role of Brand Usage Duration and the role of Usage Frequency between Brand Awareness and Behavioral Brand Loyalty. Customers' data was collected using an existing established questionnaire through convenience sampling, the public intercept sampling approach was used. The data was acquired from 384 respondents. The structure equation model method was used to analyze the data. This study demonstrated the effectiveness of consumer psychological motives in establishing Customer Brand Engagement that further leads to Customer Loyalty and reflects which element is more powerful. Further research indicates the impact of Brand Usage Duration on Customer Brand Engagement and Behavioral Brand Loyalty. All variables were proved to have a positive and significant effect except Usage Frequency. This research will assist Brand managers in determining which aspects are more influential in the growth of Customer Brand Engagement that further leads to Brand Loyalty. Study limitations and future directions have been provided at the end of the study.

An Ionic Liquid Electrolyte Additive for High-Performance Lithium–Sulfur Batteries

With the development of mobile electronic devices, there are more and more requirements for high-energy storage equipment. Traditional lithium-ion batteries, like lithium–iron phosphate batteries, are limited by their theoretical specific capacities and might not meet the requirements for high energy density in the future. Lithium–sulfur batteries (LSBs) might be ideal next-generation energy storage devices because they have nearly 10 times the theoretical specific capacities of lithium-ion batteries. However, the severe capacity decay of LSBs limits their application, especially at high currents. In this study, an ionic liquid (IL) electrolyte additive, TDA+TFSI, was reported. When 5% of the TDA+TFSI additive was added to a traditional ether-based organic electrolyte, the cycling performance of the LSBs was significantly improved compared with that of the LSBs with the pure traditional organic electrolyte. At a rate of 0.5 C, the discharge specific capacity in the first cycle of the LSBs with the 5% TDA+TFSI electrolyte additive was 1167 mAh g−1; the residual specific capacities after 100 cycles and 300 cycles were 579 mAh g−1 and 523 mAh g−1, respectively; and the average capacity decay rate per cycle was only 0.18% in 300 cycles. Moreover, the electrolyte with the TDA+TFSI additive had more obvious advantages than the pure organic ether-based electrolyte at high charge and discharge currents of 1.0 C. The residual discharge specific capacities were 428 mAh g−1 after 100 cycles and 399 mAh g−1 after 250 cycles, which were 13% higher than those of the LSBs without the TDA+TFSI additive. At the same time, the Coulombic efficiencies of the LSBs using the TDA+TFSI electrolyte additive were more stable than those of the LSBs using the traditional organic ether-based electrolyte. The results showed that the LSBs with the TDA+TFSI electrolyte additive formed a denser and more uniform solid electrolyte interface (SEI) film during cycling, which improved the stability of the electrochemical reaction.

Direct regeneration of spent LiFePO4 materials via a green and economical one-step hydrothermal process

The rapid development of electronic devices, electric vehicles and mobile energy storage devices, has increasingly emphasized the shortage of lithium resources for us in lithium-ion batteries are developing rapidly. The key to the disposal of spent lithium-ion batteries is to carry out green and efficient regeneration. Herein, we propose a one-step hydrothermal process for the direct regeneration of spent LiFePO4. To reduce the Fe3+ in the spent LiFePO4, the hydroxyl group was oxidized to an aldehyde group via a decarburization reaction, with DL-malic acid utilized as a low-cost and environmentally friendly reducing agent. The effects of various different Li concentrations, hydrothermal times and hydrothermal temperatures on the performance of regenerated LiFePO4 were investigated. The results revealed optimal electrochemical performance under a Li concentration of 1.2 mol L−1, a hydrothermal time of 6 h, and a hydrothermal temperature of 100 °C. The cycling stability of LiFePO4 regenerated under these conditions considerably improved. The initial discharge specific capacity and the discharge specific capacity of the regenerated LFP after 200 cycles were 138.4 mAh g−1 and 136.6 mAh g−1. All coulomb efficiencies of the regenerated LFP were above 97.2 %, and the capacity retention rate was 98.7%. This developed method can therefore be considered a green and feasible means for regeneration of LiFePO4.

Two-dimensional layered materials for modifying solid-state electrolytes in lithium batteries via interface engineering

Lithium-ion batteries have been widely used in mobile electronic devices and electric vehicles, but the safety issues of lithium-ion batteries have become increasingly prominent owing to the risk of leak out and explosion with liquid electrolytes. Solid-state electrolytes (SSEs) with high ionic conductivity and low cost are considered as one of the most attractive alternatives to replacing liquid electrolytes. However, the poor interfacial compatibilities of SSE in lithium batteries lead to the failure, which severely hinders their development. Recent studies have shown that two-dimensional (2D) layered materials can improve the interface stability of SSE to lithium metal. In this Review, we will mainly introduce the fundamentals of SSEs and interface issues, and then summarize 2D materials-based modification strategy for SSEs. Recent advances have been highlighted in the aspects of using 2D materials for improving the interface of SSEs, which are very promising for energy applications. The availability of the 2D materials offers a rich playground, which not only improves the electrochemical performance of solid-state lithium batteries, but also conceives deep understanding the mechanism of interface modulation. Lastly, the perspective is provided to address the current challenges and issues of SSEs in lithium batteries.

Состояние нервно-психического здоровья школьников при различном времени использования мобильных электронных устройств

Uncontrolled screen time is a worldwide menace to health of the population. Today, the state of neuropsychiatric health of schoolchildren depends on various factors, including screen time, i.e., the time they spend using mobile electronic devices. This study aimed to investigate how different screen time durations affect the said neuropsychiatric health of this population group. In the 2022–2023 academic year, we surveyed 109 Moscow schoolchildren (35 boys and 74 girls) using questionnaires compiled by A.M. Vane (identification of signs of vegetative symptoms) and S.K. Kulakov (identification of internet addiction). The mean age of the participants was 14.9 ± 0.12 years. The children were divided into two groups: those staying within the regulated limit of mobile screen time (group 1, n = 11), and those exceeding that limit (group 2, n = 98). In group 1, the average mobile screen time, as measured for one month, was 110.50 ± 10.00 minutes per day, in group 2 — 345.00 ± 15.00. The average Vane questionnaire scores differed significantly between the groups (p ≤ 0.01): 12.30 ± 1.89 points in group 1 and 22.54 ± 1.16 points in group 2. Signs of vegetative symptoms were registered in 45.9% of group 1 participants and 63.6% of group 2 participants (p ≤ 0.01). The average Kulakov questionnaire scores differed significantly between the groups (p ≤ 0.05): 28.7 ± 1.88 points in group 1 and 37.1 ± 1.09 points in group 2. Schoolchildren who exceed the regulated mobile screen time limit are at risk of developing vegetative disorders and internet addiction.

Li2GeS3: Lithium Ionic Conductor with an Unprecedented Structural Type.

Lithium-ion batteries (LIBs) are widely used in electric vehicles, mobile electronic devices, and large-scale stationary energy storage systems. However, their liquid electrolytes present significant safety concerns due to their inherent flammability. To address this, the focus has shifted toward all-solid-state batteries (ASSBs) utilizing inorganic solid electrolytes that promise enhanced safety. In this work, we report the discovery of a new crystal structural type of Li-ion conductor, Li2GeS3, with a unique structure, synthesized by a solid-state reaction from Li2S and GeS2. It was first reported in 2000 with an orthorhombic unit cell, but its detailed crystal structure remains veiled. We have unveiled its structure for the first time, employing an ab initio structure determination technique from powder X-ray and time-of-flight neutron diffraction data. The compound has an unprecedented crystal structural type with a hexagonal P61 symmetry and a unit cell of a = 6.79364(4) Å and c = 17.90724(14) Å. Its structure is comprised of a distorted hexagonal close-packed arrangement of sulfur anions with three asymmetric metal atoms: Li1, Li2, and Ge are in tetrahedral cavities surrounded by sulfur atoms. The ionic conductivity of Li2GeS3 was measured to be 1.63 × 10-8 S cm-1 at 303 K and 2.45 × 10-7 S cm-1 at 383 K. Bond valence energy landscape calculations revealed three-dimensional lithium diffusion pathways within the structure. This novel crystal structure in Li2GeS3 holds the potential for developing high-performance ionic conductors through suitable chemical substitution and offers valuable insights into designing new ionic conductors for ASSBs.

Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction

Background and ObjectiveExposure to solar ultraviolet (UV) radiation can cause malignant keratinocyte cancer and eye disease. Developing a user-friendly, portable, real-time solar UV alert system especially or wearable electronic mobile devices can help reduce the exposure to UV as a key measure for personal and occupational management of the UV risks. This research aims to design artificial intelligence-inspired early warning tool tailored for short-term forecasting of UV index (UVI) integrating satellite-derived and ground-based predictors for Australian hotspots receiving high UV exposures. The study further improves the trustworthiness of the newly designed tool using an explainable artificial intelligence approach. MethodsAn enhanced joint hybrid explainable deep neural network model (called EJH-X-DNN) is constructed involving two phases of feature selection and hyperparameter tuning using Bayesian optimization. A comprehensive assessment of EJH-X- DNN is conducted with six other competing benchmarked models. The proposed model is explained locally and globally using robust model-agnostic explainable artificial intelligence frameworks such as Local Interpretable Model-Agnostic Explanations (LIME), Shapley additive explanations (SHAP), and permutation feature importance (PFI). ResultsThe newly proposed model outperformed all benchmarked models for forecasting hourly horizons UVI, with correlation coefficients of 0.900, 0.960, 0.897, and 0.913, respectively, for Darwin, Alice Springs, Townsville, and Emerald hotspots. According to the combined local and global explainable model outcomes, the site-based results indicate that antecedent lagged memory of UVI and solar zenith angle are influential features. Predictions made by EJH-X-DNN model are strongly influenced by factors such as ozone effect, cloud conditions, and precipitation. ConclusionWith its superiority and skillful interpretation, the UVI prediction system reaffirms its benefits for providing real-time UV alerts to mitigate risks of skin and eye health complications, reducing healthcare costs and contributing to outdoor exposure policy.

NiCo-MOFs porous nanomaterials prepared by different organic frameworks as anodes for li-ion batteries

With the upgrading of mobile and portable electronic devices, people have higher requirements for the performance of batteries, and anode materials, as one of the factors affecting the electrochemical performance of lithium ion storage, have become a hot spot of widespread concern. This paper illustrates a creative and effective strategy to synthesize four different NiCo-MOFs materials. After studying their respective unique structural features, it was found that, unlike the topologies of NiCo-PTA (terephthalic acid) and NiCo-H3BTC (trimesic acid), the substitution of Ni and Co for N occurred in NiCo-EDTA (ethylenediaminetetraacetic acid) and NiCo-BI (benzimidazole). Electrochemical studies show that NiCo-PTA, NiCo-EDTA, NiCo-H3BTC, and NiCo-BI all have high initial discharge specific capacities of 1770.41576.11905.1 and 1877.5 mAh/g at a current density of 100 mA/g. When NiCo-EDTA and NiCo-BI are cycled at a current density of 100 mA/g, the specific capacity decreases more slowly than NiCo-PTA and NiCo-H3BTC. Similarly, the capacity of NiCo-PTA and NiCo-H3BTC almost began to rise at the 70th cycle, the capacity of NiCo-BI began to rise at the 67th cycle, and NiCo-EDTA showed the slowest rise at the 78th cycle, they all showed excellent cycle performance.