Low Coverage Rates Research Articles

A dual-stage coverage path planning method for bathymetric survey using an AUV in graph-based SLAM framework considering positioning uncertainty

Autonomous underwater vehicles (AUVs) are becoming increasingly popular for seabed coverage survey tasks but suffer from a serious problem of positioning error accumulation, which leads to low path tracking accuracy and a low coverage rate of the target area. A dual-stage AUV path planning (DSPP) approach was proposed within a simultaneous localization and mapping (SLAM) framework for coverage bathymetric surveys. In the first stage, a global coverage path is designed in a lawnmower style. Crossed paths are added to generate periodic loop closures in SLAM, which can improve the efficiency of online replanning. In the second stage, with a probabilistic neural network (PNN) used for feature-rich bathymetric sub-map identification, an entropy-based online path replanning approach was implemented using 20 templates to adjust the global path to produce accurate loop closures for positioning error correction. Two bathymetric datasets were used to test the proposed DSPP method using a self-developed experimental simulation system. Experiments verified that DSPP can significantly improve the positioning accuracy and coverage rate with acceptably longer paths. In a 6000 m× 5000 marea,the DSPP approach reduced the positioning error by 76% compared with the pure dead reckoning method, and the coverage ratio reached 98.15%.

Dynamics of anti-SARS-CoV-2 antibodies in the Albanian population: Impact of infection- and vaccine-induced immunity during the COVID-19 pandemic

ObjectivesUnderstanding immune response dynamics during the COVID-19 pandemic is crucial for optimizing future vaccine strategies. This study investigated the infection- and vaccine-induced SARS-CoV-2 antibody responses in the Albanian population from August 2021 to August 2022. MethodsThis used a cross-sectional approach, analyzing two independent, randomly selected population samples over 1 year. Participants’ demographic, health, vaccination, and COVID-19 data were collected, with blood samples assessed via enzyme linked immunosorbent assay for immunoglobulin G class anti-spike and anti-nucleocapsid antibodies. ResultsBy August 2022, all individuals receiving one vaccine dose achieved antibody levels comparable to those receiving two doses (median 7.71 index ratio [IR] vs 7.00 IR). In August 2021, those with previous COVID-19 infection receiving one vaccine dose showed median anti-spike immunoglobulin G levels of 7.22 IR compared with 4.84 IR in those without previous infection receiving two doses. However, individuals aged ≥61 years required two vaccine doses to achieve similar immune responses as younger individuals with one dose. ConclusionsThese findings underscore the importance of hybrid immunity, suggesting one vaccine dose may suffice for individuals with previous COVID-19 infection, whereas older adults require additional doses for optimal protection. This study provides insights into humoral immune response dynamics, which is crucial for refining COVID-19 vaccination strategies in middle-income countries with low vaccination coverage and high infection rates.

A study of the teenage population in the Portibi subdistrict of the North Padang Lawas Regency

The percentage of teenage pregnancies in Indonesia is 0.02% at the age of <15 years and 1.97% at the age of 15-19 years in Portibi sub-district, North Padang Lawas District. Adolescent mothers are known to have low exclusive breastfeeding coverage rates. The purpose of this study was to determine the factors that influence exclusive breastfeeding in adolescent mothers in Portibi sub-district, North Padang Lawas Regency. This study used a survey method with a cross-sectional design. The study population was teenage mothers who had babies aged 6-24 months in Portibi sub-district, North Padang Lawas Regency. Data collection using questionnaires. Bivariate analysis used chi square and fisher's exact test while multivariate analysis used logistic regression. The results showed 46.7% of teenage mothers provided exclusive breastfeeding. Bivariate analysis showed that pregnancy status (p=0.029), perceived birth experience (p=0.045), perceived breastfeeding (p=0.005), husband support (p=0.009), family support (p=0.000) were associated with exclusive breastfeeding, education level (p=0.143) and employment status (p=0.352) were not associated with exclusive breastfeeding. Multivariate analysis showed that family support (p=0.014; RP=7.637) and breastfeeding perception (p=0.015; RP=9.746) were associated with exclusive breastfeeding. Family support was the most dominant factor in exclusive breastfeeding among adolescent mothers. Adolescent mothers who received support from their family and had a positive perception of breastfeeding had a 72.7% probability of exclusive breastfeeding.

Lessons from the Collapse of Silicon Valley Bank

The Federal Reserve's consecutive interest rate hikes led to a decline in the prices of US Treasuries and mortgage-backed securities (MBS), which comprised a significant portion of Silicon Valley Bank (SVB)'s asset portfolio. As a result, SVB experienced substantial floating losses, exceeding its owner's equity, creating immense pressure on its assets and liabilities. The analysis also highlights the simple deposit and asset structures of SVB, with a high proportion of demand deposits and a significant allocation to bonds. The aggressive interest rate hikes by the Federal Reserve, coupled with financing difficulties for startups, accelerated deposit consumption and intensified debt pressure for SVB. Furthermore, the article reveals the low coverage rate of deposit insurance, particularly at SVB, where only 7% of deposits are insured. This adds to the vulnerability of SVB and its depositors. In conclusion, this article examines SVB's balance sheet and interest rate risk exposure, identifies shortcomings in the management supervision system, and provides three reflections on the financial event.

Health service providers' views on barriers and drivers to childhood vaccination of FDMN/Rohingya refugees: a qualitative study in Cox's Bazar, Bangladesh.

Despite established vaccination programs, vaccine-preventable diseases persist among about 900,000 Forcibly Displaced Myanmar Nationals (FDMN)/Rohingya refugees in the world's largest refugee settlement in Bangladesh. Health service providers (HSPs) play a key role in the delivery of childhood vaccination programs. This study explored their views on individual and context barriers and drivers to childhood vaccination in this setting. Informed by the theoretical framework of the Capability-Opportunity-Motivation-Behavior (COM-B) model for behavior change, this qualitative study collected data through eight focus group discussions (FGDs) with community health workers (CHWs) and vaccinators in selected camps with high or low vaccination coverage rates, and through 11 in-depth interviews (IDIs) with key informants working in strategic, management, and administrative roles. Barriers and drivers were evident across all COM factors for HSPs and caregivers. Among HSPs, knowledge around vaccination acted both as a barrier and driver, while communication skills and confidence in vaccination served as drivers. Caregivers' lack of awareness of vaccination, concerns and mistrust were described as main barriers. Context barriers included information system deficiencies, family dynamics, HSPs' working conditions, and vaccination site accessibility. Context drivers included effective communication, mobilization, and incentives. Differences between high and low coverage camps in Cox's Bazar included variations in HSPs' knowledge, communication strategies, incentive use, and stakeholder collaboration. For better vaccination coverage in the camps, context-related changes regarding collaboration, health workforce and the use of incentives seem necessary. Caregivers' mistrust toward vaccination needs to be considered under the social and historical background of the Rohingya community, and further addressed with targeted communication and campaigning.

Vaccination of teenagers in France over a 10-year period (2012–2021)

ObjectivesThe objectives were to assess trends over the past 10 years in vaccination coverage rates (VCR) among adolescents in France aged 14–15 years, factors influencing decisions to vaccinate, and mothers’ opinions on adolescent vaccination. Patients and MethodsThe ‘Vaccinoscopie’ internet survey is completed each year by mothers of adolescents, with questions about vaccinations received by their children, and their attitudes and barriers to vaccination. The 2012 to 2021 surveys were analyzed in this study, including data from 1500 adolescents in 2012 and 1000 adolescents each year from 2013 to 2021. ResultsNone of the adolescent VCR targets were met, despite significant increases since 2012 for vaccines with the lowest coverage rates and vaccines with high but insufficient coverage i.e., meningococcal C (28.7% to 60.8%), HPV in girls (14.2% to 40.8%), hepatitis B (31.6% to 47.3%) and pertussis (76.3% to 91.0%). Physicians remained the primary source of vaccination information for 90.4% of mothers, and their advice had a real impact on improving VCRs. Adolescents were increasingly involved (40.1%) in decisions about vaccination. Depending on the vaccine, over 80% of mothers currently consider adolescent vaccination as useful or essential. Since 2017, they also feel better informed. ConclusionsLow and under-target VCRs put adolescents at risk of severe disease, and do not enable herd immunity or reduced transmission to other vulnerable age groups to be accomplished. Healthcare professionals must take every opportunity to check adolescents’ vaccination status and recommend catch-up vaccines where applicable. Vaccination in schools should be considered.

Vaccination in Patients with Liver Cirrhosis: A Neglected Topic.

Patients with liver cirrhosis, due to their weakened innate and adaptive immunity, are more prone to frequent and severe vaccine-preventable infections. Moreover, impaired adaptive immunity results in a limited antibody response to vaccines. Despite this suboptimal antibody response, vaccines have proven to be very effective in reducing severe outcomes and deaths in these patients. In the Western world, regulatory authorities and scientific liver societies (e.g., AASLD and EASL) have recommended vaccinations for cirrhotic patients. However, despite these strong recommendations, vaccine coverage remains suboptimal. Improving vaccine effectiveness and safety information, providing comprehensive counseling to patients, fact-checking to combat fake news and disinformation and removing barriers to vaccination for disadvantaged individuals may help overcome the low coverage rate. In view of this, vaccines should be administered early in the course of chronic liver diseases, as their efficacy declines with the increasing severity of the disease.

Influence of adjuvant type and route of administration on the immunogenicity of Leishmania-derived tick-borne encephalitis virus-like particles – A recombinant vaccine candidate

Tick-borne encephalitis virus (TBEV) is a tick-borne flavivirus that induces severe central nervous system disorders. It has recently raised concerns due to an expanding geographical range and increasing infection rates. Existing vaccines, though effective, face low coverage rates in numerous TBEV endemic regions. Our previous work demonstrated the immunogenicity and full protection afforded by a TBEV vaccine based on virus-like particles (VLPs) produced in Leishmania tarentolae cells in immunization studies in a mouse model. In the present study, we explored the impact of adjuvants (AddaS03™, Alhydrogel®+MPLA) and administration routes (subcutaneous, intramuscular) on the immune response. Adjuvanted groups exhibited significantly enhanced antibody responses, higher avidity, and more balanced Th1/Th2 response. IFN-γ responses depended on the adjuvant type, while antibody levels were influenced by both adjuvant and administration routes. The combination of Leishmania-derived TBEV VLPs with Alhydrogel® and MPLA via intramuscular administration emerged as a highly promising prophylactic vaccine candidate, eliciting a robust, balanced immune response with substantial neutralization potential.

An indoor blind area-oriented autonomous robotic path planning approach using deep reinforcement learning

Deep reinforcement learning (DRL) provides a new solution for autonomous robotic path planning in a known indoor environment. Previous studies mainly focused on robot path optimization but ignored blind areas in the indoor exploration, naturally result in low coverage rate and low exploration efficiency. The blind areas exploration is a crucial issue of the indoor environment. This work proposes an indoor blind area-oriented autonomous robotic path planning approach using DRL methods. First, the method optimization is based on a double deep Q-network (DDQN) with prioritized experience replay (PER). Then the Blocking and Blind Angle mechanism (BBA) is proposed to explore blind areas, assisted in selecting the optimal exploration points of next moment. Meanwhile it solves the common sparse reward problem in DRL. Finally, the presented method is successfully applied in simulation environment using a cleaning robot. Experiments show that the proposed BBA-PER-DDQN not only explores the blind areas, but also accelerates the convergence speed. The results show that the training time is reduced from more than one hour to 36 minutes, and the coverage rate is increased by 11.37% higher than that of the baseline algorithms.

Assessing New York City's COVID-19 Vaccine Rollout Strategy: A Case for Risk-Informed Distribution.

This study reviews the impact of eligibility policies in the early rollout of the COVID-19 vaccine on coverage and probable outcomes, with a focus on New York City. We conducted a retrospective ecological study assessing age 65+, area-level income, vaccination coverage, and COVID-19 mortality rates, using linked Census Bureau data and New York City Health administrative data aggregated at the level of modified zip code tabulation areas (MODZCTA). The population for this study was all individuals in 177 MODZCTA in New York City. Population data were obtained from Census Bureau and New York City Health administrative data. The total mortality rate was examined through an ordinary least squares (OLS) regression model, using area-level wealth, the proportion of the population aged 65 and above, and the vaccination rate among this age group as predictors.Low-income areas with high proportions of older people demonstrated lower coverage rates (mean vaccination rate 52.8%; maximum coverage 67.9%) than wealthier areas (mean vaccination rate 74.6%; maximum coverage 99% in the wealthiest quintile) in the first 3months of vaccine rollout and higher mortality over the year. Despite vaccine shortages, many younger people accessed vaccines ahead of schedule, particularly in high-income areas (mean coverage rate 60% among those 45-64years in the wealthiest quintile). A vaccine program that prioritized those at greatest risk of COVID-19-associated morbidity and mortality would have prevented more deaths than the strategy that was implemented. When rolling out a new vaccine, policymakers must account for local contexts and conditions of high-risk population groups. If New York had focused limited vaccine supply on low-income areas with high proportions of residents 65 or older, overall mortality might have been lower.

Uncertainties beyond preparedness: COVID-19 vaccination in Senegal.

Vaccination is one of the most recognised strategies in public health for preventing the spread of epidemics, and the availability of a vaccine is often expected by health actors to be a 'game-changer'. However, the COVID-19 (coronavirus disease 2019) vaccine in Senegal was not the magic bullet that the international community expected. A very low vaccination coverage rate (less than 10% by April 2023) was observed in this country, once considered a model in West Africa for its epidemic response. Beyond the population's alleged hesitancy to be vaccinated, was a lack of preparedness to blame? Previous analyses show that outbreak preparation limited to standard interventions is not sufficient in the face of the social, cultural, and political configurations of each epidemic context and that uncertainty limits response capacity. This paper examines the social life of the COVID-19 vaccine to identify the forms and contextual dimensions of uncertainty related to immunisation in Senegal. The authors explore how vaccination was implemented and compare experiences with the preparedness process, to offer insight on uncertainties. Using Stirling's theoretical model that defines various expressions of incertitude, the authors identify four nexuses at various stages of the social life of COVID-19 vaccine in Senegal: (1) material uncertainty related to vaccine availability, (2) ambiguity of the population about the purpose of vaccination and the risks of the disease, (3) uncertainty related to side effects, and (4) uncertainty about vaccination strategies shared by scientific and health authorities. These uncertainties were only partly considered in the preparedness process, for they are related to systemic structural dimensions and reflect the impact of global/regional powers on the local level. The findings of this research are relevant not only to support better communication around vaccines in Senegal but also more generally to the prevention of emerging epidemics shaped by human behaviours.

Rare-Earth-Modified NiS2 Improves OH Coverage for an Industrial Alkaline Water Electrolyzer.

The low coverage rate of anode OH adsorption under high current density conditions has become an important factor restricting the development of an industrial alkaline water electrolyzer (AWE). Here, we present our rare earth modification promotion strategy on using the rare earth oxygen-friendly interface to increase the OH coverage of the NiS2 surface for efficient AWE anode catalysis. Density functional theory calculations predict that rare earths can enhance the coverage of surface OH, and the synthesis reaction mechanism is discussed in the synthesis process spectrum. Experimentally, by preparing a series of rare-earth-modified NiS2, the relationship between OH coverage, active site density, and catalytic activity was established by attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy, time-resolved absorption spectra, and so on. The unique oxygenophilic properties of rare earths enhance OH coverage, thereby increasing the density of active sites for efficient catalysis. Furthermore, Eu2O3/NiS2 was assembled into the AWE equipment and operated stably for over 240 h at a current density of 300 mA cm-2 under industrial conditions of 80 °C and 30% KOH. Rare-earth-modified NiS2 exhibits better catalytic activity than traditional non-noble metal anode catalysts Ni(OH)2 and NiS2, providing a new approach for rare earth promotion to solve the problem of low OH coverage in the AWE anode.

Trends of non-vaccination, under-vaccination and missed opportunities for vaccination (2003-2014) amongst children 0-23 months in Kenya.

Vaccines are effective and cost-effective. Non-vaccination, under-vaccination, and missed opportunities for vaccination (MOV), have contributed to incomplete vaccination coverage in Kenya. Analyzing their trends is essential for targeting interventions and improvement strategies. This study aimed to assess trends of non-vaccination, under-vaccination, and MOV among children aged 0-23 months in Kenya using data obtained from the Kenya Demographic and Health Surveys (KDHS) conducted in 2003, 2008/09, and 2014. A two-stage, multi-stage, and stratified sampling technique was used. Weighted analysis was conducted to ensure generalizability to the full population. Using the KDHS sample size estimation process, the sample size was estimated for each indicator, with varying standard error estimates, level of coverage and estimated response rates. Final sample size was 2380 (2003), 2237 (2008/09) and 7380 (2014). To determine the level of non-vaccination, under-vaccination and MOV among children aged 0-23 months, a weighted descriptive analysis was used to estimate their prevalence, with 95% confidence intervals (CI) for each year. MOV was defined using an algorithm as a binary variable. Data coding and recoding were done using Stata (version 14; College Station, TX: StataCorp LP). Trends in proportions of non-vaccination, under-vaccination and MOV were compared between 2003, 2008/09, and 2014 using the Cochrane-Armitage trend test. All results with P≤0.05 were considered statistically significant. Trends in proportion of non-vaccination among children aged 0-23 months in Kenya was 13.2%, 6.1% and 3.2% in 2003, 2008/09 and 2014, respectively (P = 0.0001). Trends in proportion of under-vaccination among children aged 0-23 months in Kenya was 54.3%, 50% and 51.3% in 2003, 2008/09 and 2014, respectively (P = 0.0109). The trends in proportion of children who experienced MOV was 22.7% in 2003, 31.9% in 2008/09 and 37.6% in 2014 (P = 0.0001). In the study duration, non-vaccination decreased by 10%, under-vaccination remained relatively stable, and MOV increased by ~15%. There is need for the Government and partners to implement initiatives that improve vaccine access and coverage, particularly in regions with low coverage rates, and to address missed opportunities for vaccination.

Coverage Optimization Strategy of UWSNs Based on Improved Sparrow Search Algorithm

Randomly distributed nodes lead to low coverage rate and low connectivity in the underwater wireless sensor networks (UWSNs). An UWSNs node coverage optimization strategy based on the Improved Sparrow Search Algorithm (ISSA) is designed to improve coverage rate and connectivity. The ISSA algorithm effectively balances the global and local optimization capabilities of nodes by introducing nonlinear inertia weights and Levy flight strategy, thereby avoiding the algorithm from getting trapped in local optima. Simulation experiments demonstrate that ISSA achieves optimal deployment results in a short time. It not only improves network coverage but also maintains good network connectivity and reduces node redundancy, thereby e ffectively reducing network energy consumption. Compared to other common algorithms , ISSA can increase network coverage up to 8.4% and improve network utilization up to11.8%, and meets the deployment requirements.

Evaluating the effects of the 2017 National Health Insurance coverage expansion on amenable mortality and its disparities between areas in South Korea using Bayesian structural time-series models

To improve the low coverage rate of the National Health Insurance (NHI), South Korea implemented the NHI coverage expansion plan in 2017 to cover medically essential non-covered services and reduce copayment rates. This study aimed to estimate the effects of the 2017 NHI coverage expansion on amenable mortality and its disparities between areas in South Korea under a controlled interrupted time-series design using Bayesian structural time-series models. Age-standardized amenable mortality rates and rate differences (RDs) and rate ratios (RRs) between areas for amenable mortality were calculated monthly between July 2012 and December 2021 and used as the response series. The non-equivalent control series were monthly non-avoidable mortality rates and their regional disparities. After the coverage expansion, amenable mortality rates decreased for both males (−8.8%, 95% credible interval [CrI] −13.4% to −3.9%) and females (−8.3%, 95% CrI −13.4% to −2.4%), with the largest decline in the non-Seoul-Capital metropolitan area (−11.6%, 95% CrI −16.5% to −6.3%) rather than the Seoul Capital Area (−7.5%, 95% CrI −11.9% to −2.5%) and a non-significant reduction in the non-Seoul-Capital non-metropolitan area in females. RDs and RRs between areas for amenable mortality decreased non-significantly (−16.2%, 95% CrI −31.3% to 2.6% for RD and −1.2%, 95% CrI −3.7% to 1.5% for RR), except for a significant decrease in RD in males (−21.8%, 95% CrI −38.0% to −1.5%), and decreased less in females than in males. The coverage expansion was generally effective in reducing amenable mortality rates by area, but had limited effects in closing amenable mortality disparities between areas, favoring males and the non-Seoul-Capital metropolitan area. These results implied that additional measures are necessary to improve access to quality health care for females and underserved areas to enhance the effectiveness of the coverage expansion.

Strategies of municipalities in Minas Gerais to increase COVID-19 vaccination coverage in children

Objective: To understand which strategies were adopted by municipalities to achieve COVID-19 vaccination coverage in children. Methods: Qualitative intervention study conducted by the Vaccination Studies and Research Center of the UFMG School of Nursing, in collaboration with the State Department of Health of Minas Gerais. Participation of 212 municipalities in the study with a decreasing trend in vaccination coverage rates in children under two years of age. Eight workshops were held to prepare the action plan to combat low vaccination coverage rates. The workshops were audio recorded and transcribed, and the material was analyzed in three steps. Results: The content analysis of the workshops highlighted three categories: “Intersectoral actions used by municipalities as a strategy to achieve COVID-19 vaccination coverage among children”; “Continuing education actions for healthcare staff” and “Reorganization of work processes in vaccination rooms”. In the first category, coordinated actions with social services, education, spaces for political debate and other agents were described. In the second, continuing education actions both with the nursing team working in vaccination rooms and with professionals providing care to children and adolescents were mentioned. In the third category, the difficulties of working in vaccination rooms were highlighted, explaining the need to reorganize and optimize work in this location. Conclusion: COVID-19 vaccination in children has been a major challenge for managers, epidemiological surveillance coordinators, nurses and nursing technicians in the vaccination room. Despite the efforts of health teams, it was not possible to achieve the vaccination coverage target, which shows the complexity of the vaccination scenario and the need to join forces from different sectors to increase the coverage in children’s population.

Enhancing PT AJSE Life Insurance Business Growth Using the Digital Platform Through the Success of Major Indonesia’s Insurance Companies

The COVID-19 pandemic profoundly affected Indonesia's economy, particularly its insurance industry, leading to a surge in Digital Financial Innovation (DFI) and Financial Technology (Fintech). Despite a low insurance coverage rate of 3.18% in 2021, the Financial Services Authority (OJK) is advocating for technological integration. This research aimed to reforecast PT AJSE's financial performance amid the digital transformation in insurance, analyzing data from 2018 to 2022 from top life insurance players and employing quantitative methods to forecast PT AJSE future performance. The results indicate that DFI has enhanced profitability in top life insurance companies, suggesting significant benefits for PT AJSE, a small insurer with growth potential. By adopting DFI, PT AJSE could see improvements in income and assets, with three projected scenarios showing varied outcomes. The study recommends that PT AJSE strategically integrate DFI into its operations, enhance digital marketing skills among employees, develop customer-centric digital services, and leverage its association with a major e-commerce platform for market penetration.

“Fractional replication” in single‐visit multi‐season occupancy models: Impacts of spatiotemporal autocorrelation on identifiability

Abstract Understanding variation in species occupancy is an important task for conservation. When assessing occupancy patterns over multiple temporal seasons, it is recommended to visit at least a subset of sites multiple times within a season during a period of closure to account for observation biases. However, logistical constraints can inhibit re‐visitation of sites within a season, resulting in the use of single‐visit multi‐season occupancy models. Some have suggested that autocorrelation in space and/or time can provide “fractional replication” to separately estimate occupancy probability from detection probability, but the reliability of such approaches is not well understood. We perform an extensive simulation study to assess the reliability of estimates from single‐visit multi‐season occupancy models under differing amounts of spatial and temporal autocorrelation (“fractional replication”). We assess model performance under both correctly specified models and multiple forms of model mis‐specification, and compare estimates from single‐visit models to models with varying amounts of within‐season replication. We also assess the reliability of single‐visit models to estimate occupancy probability of ovenbirds (Seiurus aurocapilla) in New Hampshire, USA. We found less bias in estimates from single‐visit occupancy models with long‐range spatial autocorrelation in occupancy probability compared to short‐range spatial autocorrelation when the model is correctly specified. However, under certain forms of model mis‐specification, estimates from single‐visit multi‐season occupancy models were biased and had low coverage rates regardless of the characteristics of the “fractional replication”. In contrast, models with varying amounts of additional replication were robust to model mis‐specification. Our findings suggest that “fractional replication” cannot replace true replication in terms of occupancy probability identifiability and that researchers should consider the potential inaccuracies when using single‐visit multi‐season occupancy models. We show that a little true replication can go a long way with even 10% of sites being revisited within a season leading to reasonably robust estimates even in the presence of extreme model mis‐specifications. When possible, we recommend performing multiple within‐season visits to at least a subset of spatial locations or integrating single‐visit data with other data sources to mitigate reliance on parametric assumptions required for reliable inference in single‐visit multi‐season occupancy models.

H2 adsorption isotherms of Mg-MOF-74 isoreticulars: An integrated approach utilizing a thermochemical model and density functional theory

A thermochemical model was developed to calculate the H2 adsorption isotherm of theoriginal Mg-MOF-74 framework, and its computationally designed isoreticular employing the adsorption energies and vibrational frequencies obtained from density functional theory calculations as input variables. The model reasonably replicates the experimental adsorption isotherm of the original framework at -196oC within the pressure range up to 1 bar. The strongest adsorption site of the new Mg-MOF-74 isoreticular exhibits saturation at lower pressure compared to the original one, despite a lower adsorption energy. This emphasizes the importance of vibrational, rotational, and translational contributions for comprehensively assessing the site’s adsorption performance. Because only the strongest adsorption site was taken into account for the site-site interaction, the model is only valid for low coverage rates of secondary sites. Consequently, it strongly overestimates the hydrogen uptake of the original isoreticular at higher temperature and pressure ranges where the cumulative coverage rate of the secondary adsorption sites is comparable to that of the strongest sites. In contrast, the model remains valid for the new isoreticular at a specific temperature between -40oC and 60oC within the pressure range up to 25 bar where the coverage rate of the secondary adsorption site is low. Its predictions highlights the significantly improved performance of the new framework compared to the original framework. Specially, it achieves a gravimetric hydrogen uptake value between 2.8 wt% and 1.9 wt% at a pressure of 25 bar within the mentioned temperature swing which is substantially higher than that of the original framework.

Gynecological primary care of trans men and transmasculine non-binary individuals, a French descriptive study

Introduction Gynecological primary care is a public health issue, however, there is no French data on the transmasculine population, despite identified needs and a low coverage rate described in the international literature. The objective was to analyze the access of the French transmasculine population to gynecological primary care. Methods The study “Trans men and Transmasculine non-binary individuals use and access to prevention and sexual health care 2022” is a non-interventional, self-administrated, anonymous online study targeting transmasculine adults living in France. Participants were recruited via social networks, LGBTQIA + associations, the FPATH and a caregivers network Results A total of 622 surveys were included, the participants were mostly young (mean age: 25 years old), single (77%), students (40%), owners or tenants (73%) and living in large cities (47%). Among them, 77% had a cross-sex hormonal therapy, 41% underwent a torsoplasty and 6% a pelvic surgery. Only 26% of the participants had an up-to-date follow-up, while 40% never had access to a gynecological consultation. Only a quarter (26%) of the 25–65 years old population, targeted by secondary prevention for cervical cancer, had at least one cervical test in their lifetime. Moreover, regarding feedbacks about gynecological follow-up, they expressed its pertinence but also reported a low comfort level. Conclusions This study highlighted the low access to gynecological primary care of a young transmasculine population in France. There is an urgent need of follow-up within this population, by increasing the education of health professionals and developing prevention programs.