High Access Research Articles

Local environment perceived in daily life and urban green and blue space visits: Uncovering key factors for different age groups to access ecosystem services

Inequality in access to green and blue spaces is a major issue in the field of environmental justice. Various factors significantly influence visitations to these spaces, including residential, commuting, and shopping areas. However, studies have mainly focused on residential environments. Analyzing the coupling of environmental and socioeconomic factors, including age, income, and childhood experience, and examining the direct and indirect effects of these factors for different age groups are needed to better understand the detailed context of inequalities in access to ecosystem services. We conducted a questionnaire survey and analysis to address these needs in an urban setting. The results demonstrate that several land use categories (i.e., agricultural lands in residential areas, grasslands near shopping areas, and deciduous forests near commuting destinations) positively correlated with visitation frequency, suggesting the lack thereof may be the cause of access inequalities. In particular, the perimeter per unit area of some land cover types, which shows the complexity of the form of each land cover category, was found to be a significant factor. We identified inequality in nature experience to be the key factor correlated with inequality in nature visits among the young age group. For the middle-aged and old age groups, nature-relatedness was positively correlated with visitation frequency. Proper design of the local environment, such as through land use planning, can be an effective measure for all age groups. For instance, long-bordered green areas in the Monsoon Asian region are an attractive traditional landscape, with high accessibility and a comfortable thermal environment. The key factors for each age group should be considered in spatial design and inclusive information-sharing to reduce inequality in access to ecosystem services.

Mixed-methods systematic review of shared decision-making tools for cancer screening

Abstract Shared decision-making (SDM) tools hold promise for guiding informed choices in cancer screening. However, their effectiveness among underserved people, as well as the specific characteristics of these tools preferred by this group and clinicians, remains unclear. This review aimed to synthesize evidence on the effectiveness of SDM tools for cancer screening and explored the preferences of underserved people and clinicians regarding the specific characteristics of the SDM tools. A mixed-method convergent segregated approach was employed, which involved an independent synthesis of quantitative and qualitative data. Articles were systematically selected and screened, resulting in the inclusion and critical appraisal of 55 studies. Results from the meta-analyses showed that SDM tools for cancer screening are effective in reducing decisional conflict for both the general population and the underserved, and in increasing cancer screening knowledge and intention for underserved people only. Subgroup analyses showed minimal heterogeneity for decisional conflict outcomes, measured over a six-month period. Insights from the qualitative findings revealed that underserved people highly preferred SDM tools with relevant information about cancer risk, culturally tailored content, and high accessibility, both during clinical encounters and beyond. Meanwhile, clinicians highly preferred tools that can be easily integrated into medical systems, and can effectively guide SDM, while considering their patients’ values and the limited time for consultation. There is strong evidence on the effectiveness of SDM tools in facilitating informed choice in cancer screening, especially among underserved people. However, evidence on long-term outcomes remains insufficient. Additionally, considering the difference in preferences of key stakeholders in terms of tool characteristics, fostering collaboration with them during the creation of an SDM tool for cancer screening is essential. Key messages • Shared decision-making tools are effective in increasing screening knowledge and intention among underserved people. • Considering the difference in preferences of key stakeholders in terms of tool characteristics, fostering collaboration with them during the creation of an SDM tool for cancer screening is essential.

Organization of Vaccination Sites in Quebec: Perception of Users, Employees and managers

Abstract Since late 2020, vaccination sites have emerged rapidly in order to protect the population against COVID-19. Health services in Montérégie (Québec) are provided by three organizations. Each adopted a different approach to immunization. The Regional Public Health Department took this opportunity to describe, compare, and explain these three approaches. A mixed methods design through a multiple case study was conducted. Users, employees and managers were interviewed at the end of 2021 on several performance-related topics. Individual interviews with employees and managers in mid-2022 further explored these topics. 38 managers, 360 employees, and 946 users participated in the survey. 9 managers and 10 employees were interviewed. Most participants were satisfied with vaccination organization regardless of the model used, mainly because of high geographic and temporal accessibility of the sites. Further signage to indicate directions could optimize accessibility. High adaptability was essential for managers and employees. Training strategies such as people to refer to and pairing allowed to better deal with frequent changes and staff rotation. The addition of ongoing training could be beneficial. Rapid changes in employee schedules were identified as a challenge. The use of technology-based scheduling tools, accessible to all, brought added flexibility, which was appreciated. Several ideas were used to communicate updates on a daily basis. However, timely implementation of new recommendations remained an ongoing challenge. Dedicated clinics for specific clienteles were successful. Community partnerships were generally beneficial, although establishing more of them could potentially reach other vulnerable communities. To improve accessibility and minimize health social inequities, a greater investment in local partnerships might reach more vulnerable clienteles. Regular communication and innovative employee support are key elements to improve fluidity of operations. Key messages • Reaching out for vulnerable clienteles is essential to minimize health social inequities. • Rapid changes in services needs underlign fluidity communication importance.

Digital Literacy Among Migrants in Portugal: Access, Usage, and Trust in Health Information

Abstract Background Digital literacy is crucial for effective utilization of health-related services and information. This study evaluates digital literacy among migrants in Portugal, focusing on three key components: access to digital services, usage of these services for health information, and trust in online health resources. Methods A cross-sectional survey was conducted to assess migrants’ access to digital devices such as smartphones and computers, their ability to use these devices for health-related purposes, and their perceptions of the credibility of online health information. Data were analyzed across various sociodemographic and migration-related factors. Results 1,048 migrants were included, of which 90.3% had access to digital services, and 64.9% reported ease in using these services to obtain health information. Despite widespread access and usability, about 45.6% of migrants doubted the reliability of online health information. Access and usage varied significantly with age, education, income, employment status, and region of origin. Older, less educated, lower-income, and African migrants faced more significant challenges in access and usage. Additionally, trust issues were predominantly reported by females, those with lower education levels, recent arrivals, and non-Portuguese speakers. Conclusions The study highlights significant disparities in digital literacy among migrants, influenced by socio-economic and demographic factors. While access to digital tools is high, challenges in usage and trust present barriers to effective health communication. Key messages • High access to digital services among migrants, yet significant disparities affect older, less educated, and lower-income groups. • Usage difficulties combined with low trust in online health info highlight the need for targeted digital literacy interventions.

Defining neighborhood walkability for children in the ELFE cohort study

Abstract Background Although walkability is known to be associated with obesity in adults, there is a paucity of data evaluating the association of walkability and health outcomes in children. In particular, little is known regarding the possible association with children’s mental health. Methods We used data from the Etude Longitudinale Française depuis l’Enfance (ELFE) cohort study. Participating mothers gave birth in 2011 in a representative sample of 320 maternity hospitals in mainland France. This pilot study is limited to participants in Paris and children at 5.5 years old. Walkability is defined by three parameters: population density (defined by census data), street connectivity (defined by intersection density), and land-use mix (entropy index). To approximate walkable areas, 500-meter street-network buffer zones were created around each participants address using a geographic information system. Children’s mental health was assessed using parent-reported Strengths and Difficulties Questionnaire at age 5.5 years. Results There was a total of 280 children in this pilot study. On measures of land-use mix, we found a mean of 0.79 (SD: 0.12), representing high accessibility. Residential and intersection density were highly correlated (p < 0.01). The walkability index demonstrated high variability among participants (mean: 10.6; SD: 10.44; range: -1.67 - 30.59). Conclusions Developing a walkability index is a multifactorial measure to describe a children’s neighborhood environment. Future work includes determining the association with children’s mental health disorders, while accounting for individual and neighborhood variables. This ecological model can inform social epidemiology and contextual disparities in children’s health. Key messages • Little is known about neighborhood walkability and the association with children’s mental health. • Using objective measures to calculate neighborhood composition and help elucidate this relationship.

SOD-YOLO: A lightweight small object detection framework

Currently, lightweight small object detection algorithms for unmanned aerial vehicles (UAVs) often employ group convolutions, resulting in high Memory Access Cost (MAC) and rendering them unsuitable for edge devices that rely on parallel computing. To address this issue, we propose the SOD-YOLO model based on YOLOv7, which incorporates a DSDM-LFIM backbone network and includes a small object detection branch. The DSDM-LFIM backbone network, which combines Deep-Shallow Downsampling Modules (DSD Modules) and Lightweight Feature Integration Modules (LFI Modules), avoids excessive use of group convolutions and element-wise operations. The DSD Module focuses on extracting both deep and shallow features from feature maps using fewer parameters to obtain richer feature representations. The LFI Module, is a dual-branch feature integration module designed to consolidate feature information. Experimental results demonstrate that the SOD-YOLO model achieves an AP50 of 50.7% and a FPS of 72.5 on the VisDrone validation set. Compared to YOLOv7, our model reduces computational costs by 20.25% and decreases the number of parameters by 17.89%. After scaling the number of channels in the model, it achieves an AP50 of 33.4% with an inference time of 27.3ms on the Atlas 200I DK A2. These experimental results indicate that the SOD-YOLO model can effectively perform small object detection tasks in a large number of aerial images captured by UAVs.

Transformasi Digital dan Pertumbuhan UMKM: Analisis Dampak Teknologi pada Kinerja Usaha Kecil dan Menengah di Indonesia

This study examines the impact of digital transformation on the growth of Small and Medium Enterprises (SMEs) in Indonesia, focusing on the impact of technology on SME performance. A quantitative approach with a survey method was employed, involving 100 SMEs across various sectors in Indonesia. Data was collected through questionnaires measuring variables such as the use of e-commerce, social media, and management information systems as indicators of digital transformation, and increased revenue, efficiency, and market reach as indicators of SME performance. Multiple linear regression analysis revealed that digital transformation has a positive and significant impact on SME performance. The findings demonstrate that every one-unit increase in the digital transformation variable results in a 1.5-unit increase in SME performance. Furthermore, the study identified factors influencing the adoption of technology by SMEs, such as internet access, digital literacy levels, and government support. The analysis indicates that high internet access and digital literacy, along with strong government support, are crucial factors in increasing technology adoption and maximizing the benefits of digital transformation for SMEs. The study recommends strategies to encourage digital technology adoption by SMEs in Indonesia, including improving digital infrastructure, providing training and mentoring programs, and offering incentive schemes for digitally transforming SMEs.

Peadiatric amputation from traditional bone setters’ gangrene in Ibadan: a malady

Background: Pediatric amputations resulting from gangrene pose a significant medical challenge, especially in resource-limited settings. In Nigeria, traditional bone setters (TBS) often serve as the first point of contact for musculoskeletal injuries, but their practices can lead to severe complications, including gangrene. Our hospital manages many of such cases. This study aims to explore the epidemiology, clinical presentation, and outcomes of pediatric patients who developed gangrene requiring amputation following TBS treatment, with the goal of informing public health strategies and improving pediatric care quality. Methods: The study is a retrospective study which seek to extract the data from the hospital record all the patient who underwent amputation due to gangrene after initial TBS treatment. All the case notes were retrieved and data was extracted and analyzed using descriptive statistics. The study adhered to ethical standards and anonymized data to protect patient confidentiality, ensuring the study's integrity. Results: The study involved 33 pediatric patients aged 8.3 years, with a significant gender disparity. Most patients were from the Yoruba ethnic group and practiced Islam. 87.9% of parents had no formal education. Gangrene was most common in the left hand, and falls were the leading cause of initial injury. The average surgery time was 81.2 minutes, with a 13-day hospital stay. Post-operative complications occurred in 43.5% of patients, with surgical site infections (SSI) being the most common. Only 8.7% received occupational therapy. Conclusions: The study highlights post-operative care challenges in pediatric amputations, including high complications and limited access to services. It suggests targeted interventions, infection control, and public health campaigns to improve outcomes. Future research should include long-term follow-up studies.

The Perspectives of Community Pharmacists Toward the Name-Based Rationing System During the COVID-19 Pandemic in Taiwan: Cross-Sectional Survey Study.

In Taiwan's public health system, community-based pharmacists are key first-line health care providers due to their high accessibility. During the COVID-19 pandemic, the pharmacists played a central role in the distribution of these supplies through the Name-Based Rationing System (NBRS), during an acute shortage of masks and testing kits, that helped reduce the spread of the disease. The NBRS, an innovative government-guided strategy developed after the COVID-19 outbreak, provided equitable and convenient access to masks and COVID-19 test kits. This study aimed to investigate (1) Taiwanese pharmacists' knowledge, attitude, and practices (KAPs) of COVID-19, with the intention to assess their preparedness for public health emergencies and their capabilities to implement COVID-19-related policies effectively; (2) their perspectives toward the NBRS; and (3) the association between individual's KAP and corresponding perspectives toward the NBRS. A cross-sectional, web-based survey was conducted in 2 major cities in Taiwan, from June 18 to September 11, 2022, during the peak of the COVID-19 pandemic. To gauge community pharmacists' KAP, a 66-question instrument was developed using guidelines from the Taiwanese Centers for Disease Control, the International Pharmaceutical Federation, and the Taiwanese Pharmacist Association. The instrument's internal consistency reliability was ascertained using Cronbach α (0.819), and its content validity was verified by field experts. Overall, 343 Taiwanese community pharmacists were recruited in the study. Among them, 88% (303/343) scored high on knowledge domain questions related to SARS-CoV-2; 58% (201/343) and 39% (136/343) held positive and neutral attitudes toward COVID-19-related policies, respectively; and 77% (266/343) practiced infectious disease prevention measures in compliance with official guidelines. The results demonstrated a high level of competency in pharmacists in a public health crisis. It revealed that factors including age, pharmacy characteristics, and the number of customers were associated with their perceptions and willingness to continuously participate in the NBRS. Overall, the community pharmacists showed greater support for the COVID-19-testing NBRS compared with the mask NBRS, because of the more favorable influence on the revenue and workforce of the pharmacies and the well-being of the pharmacists. Responses also highlighted concerns about rapid government policy changes and supply dynamics, underscoring the importance of effective communication and considering supply availability in facilitating a successful NBRS. The strong KAP of the community pharmacists justified the government leveraging their expertise in Taiwan's COVID-19 response. While community pharmacies have proven to be essential distribution centers through the NBRS, improving community connections, communication with the government, and supply management are recommended to strengthen the system. These potential approaches aim to ensure successful NBRS implementation and better preparedness for future public health emergencies. Overall, pharmacists have demonstrated their integral role in achieving equitable outcomes and their dedication to public health efforts during crises.

Playing with fire: Socioeconomic factors and deliberate wildfires in Texas

Deliberately setting fires, also known as arson, is one of the primary causes of human-caused wildfires in the US. Arson fires pose a significant threat, contributing to the human-caused wildfire problem in the southern US. Since more than 90% of wildfires in the South are human-caused, it is particularly important to examine the factors that influence the distribution of arson wildfires in this region. While most research has combined arson fires together with other human-caused wildfires, a smaller body of studies has focussed specifically on fires started by arson. The focus of this study is to understand the key factors associated with the distribution of intentional wildfires in Texas. We examine the relationship between a combination of key socioeconomic factors and environmental factors and, arson wildfires using Negative Binomial models. As expected, our results indicate that road density, unemployment rate, and crime rate are positively associated with arson fires, and the number of law enforcement officers and wage rate are negatively associated with arson wildfire incidences. The higher percentage of forest cover in a county and higher temperature regimes are also positively associated with arson fire occurrences. As such, we conclude that arson wildfires are more likely in areas with high accessibility to wildlands. Similarly, counties with high unemployment rates and consequently high crime rates are more likely to suffer from arson wildfires. Our results clearly show that a higher presence of law enforcement officers in a county deter arsonists. Similarly, financial well-being as indicated by the higher wage rates in a county plays an apparent role in curbing arson wildfire occurrences. Thus, the results from this study provide valuable insights to policymakers, land managers, and fire prevention specialists to develop targeted interventions aimed at reducing arson risk in Texas and beyond.

Low‐cost animal tracking using Bluetooth low energy beacons on a crowd‐sourced network

Abstract Animal tracking has opened the door to address many fundamental questions in ecology and conservation. Whilst historically animals have been tracked as a means to understand their large‐scale movements, such as migration, there is now a greater focus on using tracking to study movements over smaller scales, individual variation in movement or how movements shape social network structure. With this shift in focus also comes different tracking needs, including the need to track larger numbers of individuals. Tracking studies all face some technological limitations. For example, GPS and other active tracking solutions can collect fine‐scale movement data, but have a high cost per tag, limiting the number of individuals that can be followed. They also have high low‐energy costs of data acquisition and download, limiting time periods over which data can be collected. Low‐energy passive (e.g. PIT) or active (e.g. reverse GPS) tags can overcome these limitations, but instead require animals to remain within a bounded study area or to come into close proximity to detectors. Here we describe one solution that can overcome many current limitations by employing the massive global network of personal mobile phones as gateways for tracking animals using Bluetooth low‐energy (BLE) beacons. In areas with medium to high density of people, these simple‐to‐make beacons can provide regular updates of position over long time periods (battery life 1–3 years). We describe how to use off‐the‐shelf components to produce BLE beacons that weigh c. 5–6 g and cost <$7USD. Using field‐testing, we then show that beacons are capable of producing high‐frequency tracking data that can be used to build home ranges or to detect spatiotemporal co‐occurrences among individuals. BLE beacons are a low cost, low‐energy solution for studying organisms (e.g. birds, mammals and reptiles) living and moving in urban landscapes. Their low weight and small size makes them particularly well‐suited for tracking smaller species. When combined with fixed gateways, their use can also be extended to non‐urban habitats. Their high accessibility is likely to make them an attractive solution for many research projects.

A Comprehensive Protocol for Microbead-Induced Ocular Hypertension in Mice.

Glaucoma is a common optic neuropathy characterized by degeneration of retinal ganglion cells (RGCs). Elevated intraocular pressure (IOP), that is, ocular hypertension, is the primary modifiable risk factor for glaucoma and the primary characteristic of most preclinical glaucoma models. Extensive genotype and phenotype diversity at relatively low cost and high accessibility makes laboratory mice an excellent preclinical model for glaucoma. The microbead occlusion model was introduced in 2010 as an inducible model of ocular hypertension in mice and is now one of the most extensively utilized models of rodent glaucoma. Subsequent modifications of the microbead model increased the magnitude and duration of IOP elevation, primarily through modification of injection materials. Despite its popularity, accessibility of the model is hindered by procedural consistency between users. Here we outline an updated and comprehensive protocol for execution of the microbead model that is focused on improving surgical and outcome measure consistency and on enabling single experimenter execution.

I-/I3 - Conversion-Activated and Stabilized Bipedal-Redox Bis(dimethylthiocarbamyl) Sulfide Cathode for High-Performance Zinc-Organosulfide Batteries.

Organosulfides are considered promising cathode materials for zinc batteries due to their merits of high-density active sites and multielectron reactions, but often suffer from sluggish kinetics and limited electrochemical stability. Here organic iodide-catalyzed is reported and stabilized multielectron-redox bis(dimethylthiocarbamyl) sulfide (BS) cathode for superior zinc-organosulfide batteries. Activated by 2e- I-/I3 - conversion in 1-methyl-3-propylimidazolium iodide (MPII)-modulated electrolyte, the electron-deficient structure of BS can stretch the electron cloud of two adjacent C═S bonds to form bipedal C─S bonds, affording high-kinetics and stable 2e- Zn─S storage electrochemistry. This allows high accessibility of zincophilic dual C=S sites with a low activation energy, and stabilizes BS to fulfil anti-dissolution in electrolyte. Consequently, Zn||BS battery with 4e- conversion-coordination harvests high-rate capacities (452mAhg-1 at 1Ag-1; 255mAhg-1 at 10Ag-1), high energy density (312Whkg-1) and ultralong life (30000 cycles), becoming the state-of-the-art zinc batteries in all-round metrics. This work constitutes a significant advance in developing high-redox-activity organosulfide materials and stand for a good starting point for advanced zinc batteries.

A Comparative Study of Bazaar Cultural Spaces in Central Asia and China

With the advancement of modernization, traditional bazaars have encountered challenges, such as diminished vitality. Concurrently, the trend of integrating cultural spaces into bazaars has become increasingly evident. Understanding the relationship between bazaars and cultural spaces, as well as the preferences of users of these spaces, is crucial for enhancing bazaar vitality. Employing field research, questionnaire surveys, cross-analysis, and the narrative preference method, this paper compares the bazaar cultural spaces of Central Asia and Chinese from four perspectives: the current state of the bazaar, development overview, user preferences, and cultural space type preferences. This aims to deepen the understanding of the commonalities and differences between the two regions, and to explore the development trends of bazaars and their cultural spaces. The study reveals that (1) Spaces with diversified functions, high accessibility, and openness can enhance the vitality of the bazaar; (2) There exists a synergistic, mutually beneficial relationship between the bazaar and the cultural spaces; (3) Central Asian residents place greater emphasis on the environmental quality of the bazaar and the engaging content of its cultural spaces. In contrast, Chinese residents are more focused on the accessibility of the bazaar and the openness of the cultural spaces; (4) The function of art and culture is the preferred type of cultural space in the bazaar among residents of both regions. This study significantly contributes to the planning, design, and optimization of bazaars and their cultural spaces.

Ru nanoparticles on mesostructured carbon for glucose hydrogenation; catalysts synthesis and characterization

Ru-containing hydrogenation catalysts based on functionalized carbon material CMK-3 (Carbon Mesostructured by KAIST) were developed. Mesostructured silicate SBA-15 with enlarged wall channels was used as a template for the carbon replica synthesis. The effect of carbon material functionalization via moist air oxidation and sulfonation on the morphology, physicochemical properties and activity of the catalyst was studied. The dispersion, localization, and electronic state of supported ruthenium were determined depending on the support functionalization method. The initial support structure preservation after Ru deposition was confirmed by a set of physicochemical methods. Metal particles are finely distributed with no agglomerated present, providing a high active site accessibility and ensures a superb catalyst activity. The catalysts were tested in glucose to sorbitol hydrogenation. The results showed that pore morphology and carbon support initial structure preservation account for the catalytic activity of Ru nanoparticles.

Abundance Trends of Immature Stages of Ticks at Different Distances from Hiking Trails from a Natural Park in North-Western Italy.

Hiking trails may act as hotspots at the wildlife-human interface, posing an acarological risk for people and their pets. Ticks that are maintained in the environment by wild animals may quest on people walking along the trails. Assessing the risk of tick bites for people involved in outdoor activities is a further step in mitigating the risk of tick-borne diseases. This work describes the variation of tick abundance along a gradient of distances from hiking trails, where wildlife passage is favored by higher accessibility. Hiking trails with dense vegetation on the sides were sampled for ticks along a 100 m dragging transect, located in a natural park in North-Western Italy. Additional transects were replicated at 1, 2 and 4 m away from the trail on both sides. After morphological identification, descriptive statistics and modeling were applied to determine the abundance patterns across distances. Larvae were most abundant near the trail, peaking at 1 m and dropping sharply at further distances. Nymphs showed a more gradual and consistent decrease at progressing distance from the trail. Few adults were collected, preventing the identification of a clear trend. With higher tick abundance, the immediate vicinity of hiking trails may represent a source of acarological risk for humans and pets.

AI-Guided Design of MALDI Matrices: Exploring the Electron Transfer Chemical Space for Mass Spectrometric Analysis of Low-Molecular-Weight Compounds.

The development of matrices for Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry (MALDI MS) has traditionally relied on experimental efforts. Here, we propose a Goal-Directed artificial intelligence generative model, fueled by computational chemistry calculated data, to construct a chemical space optimized for Electron Transfer (ET) processes in MALDI analysis. We utilized a group of 30 reported ET matrices, subjected to structural enumeration and molecular properties prediction using semiempirical and ab initio calculations, to establish a comprehensive database comprising diverse structural and property data. Subsequently, employing a protocol of structural enumeration with 68 canonical SMILES of Bemis-Murcko (BM) fragments, we expanded the structural complexity of the initial library. This process generated 82753 compounds organized into 10 scaffold levels, with a p50 index from the Cyclic System Retrieval (CSR) curve of scaffolds of 50%. From the resulting enumerated library, a diverse subset of structures was selected by using the Jarvis-Patrick clustering method. These structures, along with their associated properties measured from quantum mechanics and experimental data, were used to train a Machine Learning (ML) model to predict ionization energy (Ei) values. Subsequently, a Scoring Neural Network (SNN), coupled with our Goal-Directed generative model using a Recurrent Neural Network (RNN) with Deep Learning (DL) architectures, was trained. The generative model was guided using a prior network within a Reinforcement/Transfer Learning environment. The final AI-generative model learned that structures with high unsaturation, H/C ratios under 1, and molecular weights between 100 and 300 u are favorable for ET MALDI matrices, as well as those with few aromatic rings and zero aliphatic rings. Other molecular features were also favored. The resulting AI-generated library exhibits Ei values over 8.0 eV, akin to those of reported "good" ET MALDI matrices, indicating successful design with high synthesis accessibility scores. In conclusion, our generative model provided valuable insights into the molecular features ideal for ET MALDI compounds while generating a wide range of structurally diverse molecules within a similar molecular property space. The next critical step in this process is to synthesize a selection of these generated compounds for the experimental validation and further characterization.

Electrochemiluminescence biosensor for MMP-2 determinationusing CRISPR/Cas13a and EXPAR amplification: a novel approach for anti-aging research.

Matrix metalloproteinase-2 (MMP-2) plays a pivotal role in anti-aging research. Developing advanced detection platforms for MMP-2 with high specificity, sensitivity, and accessibility is crucial. This study introduces a novel electrochemiluminescence (ECL) biosensor for MMP-2 determination, leveraging the CRISPR/Cas13a system and Exponential Amplification Reaction (EXPAR). The biosensor operates by utilizing the T7 RNA polymerase to transcribe RNA from a DNA template upon MMP-2 interaction. This RNA activates Cas13a, leading to signal amplification and ECL detection. The incorporation of the "photoswitch" molecule [Ru(phen)2dppz]2+ streamlines the process by eliminating the need for extensive electrode modification and cleaning. Under optimized conditions, the biosensor achieved an impressive detection limit of 12.8 aM for MMP-2. The platform demonstrated excellent selectivity, reproducibility, and stability, making it highly suitable for detecting MMP-2 in complex biological samples. This innovative approach shows great potential for applications in molecular diagnostics and anti-aging research.

Knowledge access and satisfaction of pregnant women on the use of the National Health Insurance Scheme in accessing health care in the Bia East District of Ghana

IntroductionIn Ghana, access to health care is impeded mostly by financial capital. The National Health Insurance (NHIS) rolled out in 2003 was an attempt to remove cost as a barrier and help bridge this gap in health access. Despite the benefits, enrolment and use have been low. Hence a need to assess the knowledge, access and satisfaction of pregnant women on the use of NHIS to access healthcare.Materials and methodsThe study employed a facility-based descriptive cross-sectional study. A structured questionnaire was used to collect data from a total of 387 pregnant women using a simple random sampling technique. Data was collected to gain an insight into the knowledge, accessibility and satisfaction level of pregnant women on the usage of NHIS. Data was analyzed using Stata version 17.0 and results were presented in frequency tables.ResultsOverall, most of the pregnant women had a good knowledge of 228 (67.5%) and a high accessibility of 279 (82.5%) to using NHIS use it in accessing healthcare. Whilst for satisfaction, 311 (92.01%) said they were satisfied with the services and would prefer the use of NHIS to out-of-pocket payment.ConclusionIn the current study the level of knowledge, accessibility, and satisfaction of NHIS is high. However, to sustain this gain, a multidimensional approach to community education should be intensified.

Active protection scheme based on high‐frequency current for distribution networks with inverter‐interfaced distributed generators

AbstractWith the high penetration and flexible access of inverter‐interfaced distributed generators (IIDGs), it is gradually becoming difficult for traditional protection schemes to meet the requirements for the safe operation of distribution networks (DNs). Active protection schemes based on power electronic equipment provide a new approach. On the basis of the controllability of voltage source converters, a method for active high‐frequency signal injection and a selection principle for the corresponding control parameters are proposed. Considering the impact of T‐connected load branches on the protected line, the high‐frequency current characteristics at the three terminals during internal and external faults are analysed. On this basis, an active protection scheme based on high‐frequency current is proposed for DNs with IIDGs. The performance of the proposed scheme is verified via PSCAD/EMTDC simulation software. The test results show that the proposed scheme can reliably trip during internal faults and identify faulty phases, which has better endurance to fault resistance.