Current Capacity Research Articles

Engineering Design of 1 MJ HTS SMES System With kA-Level Current Capacity for NICA Accelerator

Engineering Design of 1 MJ HTS SMES System With kA-Level Current Capacity for NICA Accelerator

Performance Evaluation of Desalination Battery Systems based on Synthesis Method of Carbon Nanotube-Carbon Felt Composite Electrodes

To enhance chlorine ion removal and increase the current charging capacity of a desalination battery system, carbon nanotubes were applied to a carbonaceous electrode. Two types of composite electrodes were fabricated by attaching multiwalled carbon nanotubes (MWCNTs) to a carbon felt (CF) electrode via dip coating (D-CNT@CF) and electrophoresis (E-CNT@CF). These composite electrodes were then tested within a desalination battery system to evaluate their chlorine ion removal efficiency and current charging performance during the charging process. Microflocs of MWCNTs were observed on the surface of D-CNT@CF, whereas a uniform coating of MWCNTs was achieved on the surface of E-CNT@CF. Performance evaluations revealed that chlorine ion removal rates improved by 3.5% for D-CNT@CF and by 19.4% for E-CNT@CF compared to that of CF. Furthermore, the time required to reach maximum current charge was 40.0% for D-CNT@CF and E-CNT compared to CF. @CF decreased by 60.0%. These findings suggest that surface modification of carbonaceous electrodes through electrophoresis can result in a more stable coating and improve the performance of desalination battery systems.

Management of Hybrid Hydropower and Floating Solar Systems at Num Ngum 1 in Lao PDR

The integration of a hybrid hydro-floating solar power (HPP-FPV) system is covered in this study with the goal of improving energy management and producing more electricity. The production capacity of the hybrid system is almost twice as high as that of the original HPP system, demonstrating its potential for higher energy generation. Because it forecasts weather and modifies electricity generation accordingly. The analysis highlights how crucial it is to make sure that the hybrid system's electricity generation doesn’t go beyond the current power grid's maximum transmission capacity. This is essential to preserving the consistency and caliber of the power that is provided. The research's overall goal of increasing the output of renewable energy through creative system integration and practical management techniques is captured in the abstract.

8.B. Scientific session: Strengthening health information systems in the European Region

Abstract Strong health information systems (HIS) are essential for robust, evidence-informed policymaking and decision making in all levels of healthcare. The COVID-19 pandemic underscored the vital importance of HIS, but also highlighted flaws and weaknesses across HIS in Europe. Common HIS challenges include limited resources and capacity; insufficient coordination and collaboration between HIS stakeholders, leading to fragmentation and problems with interoperability; lack of central governance; and limited use of health information for decision-making. Both at the level of the WHO Regional Office for Europe (WHO/Europe) and the European Commission, policies and strategies are being implemented to support Member States in strengthening their HIS, thereby improving the availability of high quality, timely data for evidence-informed decision making, both at the country and international level. Supporting the further digitalization of HIS is an important element in this. In 2023, WHO/Europe and the European Commission joined forces in the field of HIS strengthening. This workshop will inform participants about current and future capacity building tools and activities that will be implemented under the umbrella of the EU-funded action ‘Supporting Member States in the WHO European Region in strengthening HIS and boosting health data governance and interoperability’. It will explain the policy as well as situation-on-the-ground contexts in which the action will be implemented. The workshop will start with a (1) presentation by WHO/Europe on the current HIS situation in the Region and what are the main priority areas in WHO’s work for the coming years. After that, (2) the European Commission will give more information on the above-mentioned EU-funded action and the related EU policy landscape, most notably the European Health Data Space (EHDS). Next, (3) WHO/Europe will present their catalogue of capacity building tools and activities, and share experiences with implementing these. Finally, (4) HIS modernization cases with enabling factors and challenges will be presented based on different countries’ real life experiences, illustrating the impact of HIS strengthening activities at the country level. Workshop participants will get a comprehensive overview of available HIS strengthening tools and activities in the European Region. This will help them in selecting and applying tools for strengthening their own national or regional HIS, and ensuring their HIS is prepared for aligning with the EHDS and other important policies and strategies. This will contribute to sustainable and future-proof HIS across Europe. During the workshop, there will be ample time for questions and discussion. In the discussion, participants will be asked whether they have any HIS strengthening needs that are not yet covered in the current package of tools and activities. This will help WHO and the European Commission to further harmonise their efforts with what is needed on the ground. Key messages • Despite investments in HIS following the COVID-19 pandemic, many challenges remain, which are often similar across European countries. • WHO/Europe and the European Commission have joined forces to strengthen HIS and boost health data governance and interoperability, while leveraging EHDS developments.

Assessing progress towards viral hepatitis B and C elimination in prisons in the European region

Abstract Background In 2016 the WHO launched the global health sector strategy for the elimination of viral hepatitis, alongside a dedicated monitoring&evaluation (M&E) framework to assess progress at national, regional and global levels. Despite being a priority setting for viral hepatitis elimination in Europe, prisons are rarely integrated into national monitoring efforts. Besides, prisons are particular contexts with a high viral hepatitis prevalence, where it is possible to utilize adequate micro-elimination strategies. Objectives We aimed to assess available metrics of viral hepatitis burden and coverage of prevention and control interventions in prison settings in Europe using routine sources of data. Methods We adapted the WHO M&E framework for viral hepatitis elimination to the prison context. The resulting M&E framework has 49 indicators of which 10 are defined as core. Data were sourced from available European prison surveillance systems at European level, namely: European Monitoring Centre for Drugs and Drug Addiction (EMCDDA) and WHO Health in Prisons European Database (HIPED). Results In total 38 countries in the European region provided data to either data sources for 2020. For WHO-HIPED, among core indicators, 3 out of 10 could be calculated for HCV, and covered prevalence, HCV treatment availability and treatment outcome. Concerning HBV, 3 core indicators out of 10 could be calculated and covered prevalence, screening availability and treatment coverage in prison. With EMCDDA surveillance system we could calculate 4 HCV core indicators and 6 HBV core indicators. Lessons Availability of health data from prison settings is scarce, hampering the current capacity to monitor the progress in the viral hepatitis elimination within prisons contexts strategies and its relative contribution to global health goals achievement. A coordinated and standardised M&E framework tailored to this specific setting is needed to foster data collection and systematic monitoring. Key messages • Micro-elimination strategies in prison context contribute to the global health goals achievement. • A coordinated and standardized M&V framework, adapted to the prison context, is needed to foster data collection and monitoring of the viral hepatitis elimination strategy.

An efficient state-of-health estimation method for lithium-ion batteries based on feature-importance ranking strategy and hybrid kernel extreme learning machine algorithm

The safe and reliable operation of battery systems depends critically on accurately and dependably estimating the state of health (SOH) of lithium-ion batteries (LIBs). However, accurate prediction of SOH still needs improvement due to the complex battery aging mechanism. This paper introduces a hybrid kernel extremum learning machine (HKELM) for estimating battery SOH. To improve estimation accuracy, we enhance the standard dung beetle optimization algorithm (DBO) with a new initialized population, adaptive weights method, and improved population diversification. We then use the enhanced IDBO algorithm to optimize the parameters of HKELM. This study examines two distinct anode types of LIBs from NASA and Oxford datasets. Fifty significant features are extracted from charging voltage, current, temperature, and incremental capacity (IC) curves. The importance indices of these features are then computed using statistical analyses, including Pearson's correlation coefficient and Spearman's rank correlation coefficient, followed by optimal ranking. The optimal number of final features is determined by comparing various combinations of high-level features, thus reducing model complexity and improving estimation accuracy. This paper proposes the IDBO-HKELM algorithm for SOH estimation. Compared to other methods, the algorithm shows superior estimation performance and anti-interference capability. Both B0007 and Cell8 estimate SOH with MAE < 0.15, RMSE <0.2, and R2 > 99.9 %. Experimental results demonstrate the robustness of the proposed method, achieving accurate and noise-immune SOH estimation.

Community Provider Perspectives on an Autism Learning Health Network: A Qualitative Study.

Although autism is highly prevalent, no single care center has enough patients to produce generalizable knowledge of optimal care; this slows the pace of quality improvement research. The Autism Care Network (ACNet) is a learning health network (LHN) dedicated to developing the most effective approach to care for autistic children and adolescents through integrating clinical and research data. Given that most autistic patients receive care in the community, expanding ACNet to include community providers is essential to improve autism care. Our objectives were to: (1) understand the current data collection practices, learning needs, capacity, and overall interest of community clinicians in participating in an autism LHN; (2) identify their perspectives on participating in a LHN and ways in which their engagement and interest can be cultivated. Participants were purposively sampled from community physicians who participated in ASD-focused educational programming. In-depth semi-structured interviews were conducted. Analysis of 29 participant interviews yielded five primary themes: Navigating Administrative Challenges, Improving Data Collection Practices, Increasing Provider Confidence and Competence, Breaking Down Silos, and System and Societal Barriers to Achieving Best Practices. This study provides a rich and nuanced understanding of the experiences of community providers regarding the challenges of ASD care provision in the community. Overall, these findings suggest that LHNs have the potential to address several of the issues in community autism care highlighted by community providers.

An Improved Framework of Major Function-Oriented Zoning Based on Carrying Capacity: A Case Study of the Yangtze River Delta Region

Major function-oriented zoning, a key spatial planning strategy in China, aims to coordinate resource endowments, socio-economic development, and subsequent planning initiatives. However, the existing framework for major function-oriented zoning relies predominantly on socio-economic statistical indicators at the regional level, often neglecting the critical role of carrying capacity. To address this limitation, we assessed both the current state and dynamic trends of the carrying capacity to identify risk and advantageous zones for major functions, with the objective of optimizing major function-oriented zoning in the Yangtze River Delta region, China. Our findings indicate that 47 counties are experiencing significant pressure under the current carrying capacity, while 57 counties exhibit a deteriorating trend in their capacity. Over half of the counties are categorized as having an overloaded carrying capacity. Based on this analysis, 66 counties have been designated as risk zones for major functions. Consequently, the optimization of major function-oriented zoning requires adjustments in 10 counties, incorporating the identified risk and advantageous zones to enhance spatial planning efficacy. This study proposes an enhanced methodological framework for major function-oriented zoning by fully integrating carrying capacity assessments, offering substantial support for territorial spatial planning in China. We believe that these improvements contribute significantly to more resilient and sustainable regional development strategies.

A Switchable Linear Regulator Implemented in GaAs pHEMT for WiFi Application

ABSTRACTCompared to silicon‐based complementary metal oxide semiconductor (CMOS), second‐generation semiconductor materials, such as gallium arsenide (GaAs) pseudomorphic high electron mobility transistor (pHEMT), offer significant advantages for radio frequency (RF) applications. As communication systems become more functional, designing highly integrated on‐chip transceiver systems presents a substantial challenge, where the voltage regulator as part of the power management module is indispensable. Due to lattice defects and other issues, achieving P‐channel metal oxide semiconductor (PMOS) in GaAs pHEMT is difficult, necessitating new circuit architectures to fulfill traditional linear regulator functions. To realize wireless fidelity (WiFi) transceiver systems on chip (SoC) using compound semiconductors for superior RF performance, this paper proposes a switchable linear regulator based on a 0.25 μm GaAs pHEMT process. The proposed linear regulator consumes a quiescent current of 440 μA in no‐load conditions and regulates a 5 V supply voltage down to 2.6 V output voltage. Measured results indicate that the designed linear regulator features a current load capacity of 20 mA, a load regulation rate of 5.8 mV/mA, and a line regulation rate of 1.8 mV/V. The proposed linear regulator circuit has been applied to WiFi transceiver systems, occupying a chip area of 0.054 mm2.

Enhancing thermal diffusion in busbars through heat pipe coupling: A novel approach for alleviating contact overheating in power distribution systems

Busbar serves as the conduit for transmitting electrical energy among electrical devices within the distribution system. However, factors such as poor contact can result in burnt busbar contact area, subsequently leading to overheating faults. Traditional cooling methods such as silver-plating of contact area can alleviate this issue to some extent but tend to escalate equipment costs. In response to this issue, this paper proposes a novel busbar based on heat pipes, which can achieve a lower maximum temperature whilst maintaining the same current carrying capacity. The simulation model of this heat pipe busbar is built through FLUENT and verified experimentally. Various heat pipe structures, busbar lengths, current loads, contact resistances, and coatings were investigated for their effects on the surface temperature distribution of the busbar. The research findings indicate that all heat pipe structures, ranging from Structure I to IX, effectively reduce the maximum temperature of the busbar, with Structure IX performing the best, lowering the maximum temperature by 3.56 K. As the busbar length increases from 300 mm to 600 mm, the effectiveness of the heat pipe structure in reducing the maximum temperature shows a positive correlation. Under varying current loads, the heat pipe structure reduces the maximum busbar temperature by 0.83 % to 3.84 %. When the contact resistance in the busbar joint area increases, the heat pipe structure decreases the maximum temperature by 1.07 K to 7.16 K. These research findings indicate that the newly designed HP-busbar provides an effective solution for mitigating contact overheating. Its low cost and broad applicability across various scenarios are significant advantages.

Triggering Reversible Intercalation-Conversion Combined Chemistry for High-Energy-Density Lithium Battery Cathodes.

Combining intercalation and conversion reactions maximizes the utilization of redox-active elements in electrodes, providing a means for overcoming the current capacity ceiling. However, integrating both mechanisms within a single electrode material presents significant challenges owing to their contrasting structural requirements. Intercalation requires a well-defined host structure for efficient lithium-ion diffusion, whereas conversion reactions entail structural reorganization, which can undermine intercalation capabilities. Based on the previous study that successfully demonstrated reversible intercalation-conversion chemistry in amorphous LiFeSO4F, this study aims to provide an in-depth understanding on how this can be enabled. Experimental and theoretical investigations of a model system based on tavorite-structured LiFeSO4F revealed that amorphization governs the activation and reversibility of the combined reactions. Enhanced reversibility is achieved through the facile migration of transition metals within the amorphous matrix. Unexpectedly, it is found that amorphization also narrowed the voltage gap between the intercalation and conversion reactions. This voltage-gap reduction is explained by the thermodynamic metastability of the amorphous phase. The applicability of the approach to other intercalation hosts is further demonstrated, showing that amorphization enables reversible intercalation and conversion. These findings suggest a new strategy that leverages the full potential of intercalation and conversion reactions, introducing new avenues for cathode design.

Outside-in directional sodium deposition through self-supporting gradient fluorinated magnesium alloy framework toward high-rate anode-free Na batteries

Constructing high-rate sodium anodes promotes the progress of high energy/power density Na metal batteries. However, it lacks effective strategies to regulate Na deposition behaviors under high current density and high capacity, greatly compromising their energy density, cycling life, and safety. Herein, we construct a self-supporting framework host consisting of nitrogen-doped carbon hollow nanofibers with uniformly embedded MgF2 (MgF2@NCHNFs), facilitating outside-in directional Na deposition. During the first Na plating, the MgF2 in the tube wall of NCHNFs is in-situ converted to gradient fluorinated alloy architecture, where the outmost NaF homogenizes Na+ flux, the subsurface sodiophilic N sites and gradient distribution Mg sites facilitate Na deposition into the internal space of hollow nanofibers. Thus, the MgF2@NCHNFs exhibit dendrite-free and directional Na deposition behaviors even at high rate (10 mA cm-2) and high capacity (10 mAh cm-2). The superiorities of the Na-MgF2@NCHNFs are demonstrated in high-rate anode-less/anode-free sodium metal batteries using sodium vanadium phosphate and sulfur as cathodes. Furthermore, the pouch cells deliver a superhigh capacity retention of 96.0 % over 400 cycles at 2 C. This work provides a new strategy for practical applications of multifunctional Na hosts in sodium metal batteries, and can extend to other metal batteries.

Selection of high rate capability and cycling stability MnO anode material for lithium-ion capacitors: Effect of the carbon source

The N-doped carbon modified MnO composites were successfully prepared using K2MnO4 as the manganese source, CH4N2O as the nitrogen source, and glucose, sucrose, or reduced graphene oxide as the carbon sources. Among them, the composite (MPN) prepared using glucose as the carbon source exhibited excellent electrochemical performance, attributed to its relatively small particle size (6.4 nm), high specific surface area of 199.4 m2·g−1, and a high ID/IG ratio of 0.86. The MnO in MPN contained a significant amount of Mn3+, ∼16.8 %, which is ascribed to the incomplete reduction of high valence Mn during the process of synthesis. With the formation of Mn3+, a large number of cationic vacancies were generated, which increased the diffusion coefficient of Li+ from 2.12 × 10−14 cm2 s −1 to 5.94 × 10−13 cm2 s−1. The carbon layer with appropriate thickness, doped N and mesoporous structure suitable for electrolyte transport provide a fast ion/electron transport channels for MnO, and ensure a stable interface structure in the electrochemical reactions. Consequently, the MPN anode material exhibited remarkable high current discharge capacity (769.5 mAh·g−1 at a high current density of 2 A·g−1) and excellent cycling performance (882.2 mAh·g−1 after 200 cycles at 1 A·g−1), indicating its exceptional rate performance and cycle stability. Furthermore, the lithium ion capacitor constructed with MPN as anode and activated carbon as cathode demonstrated a high specific energy of 190 Wh·kg−1, a high specific power of 205.3 W·kg−1, and an impressive cycling lifespan of up to 3000 cycles without obvious degradation.

Report from the child neurology education and training workshop at the International Child Neurology Congress 2024: Expert'saddressing the training gap

This report summarizes the key findings of a workshop undertaken at the International Child Neurology Congress in 2024 by child neurologists with expertise in training education and invested colleagues. The workshop aimed to explore global issues which have impact on access to child neurology training. The major findings supported a great need for more training programs globally, that consensus is needed for the minimum standards of training, and that training programs can be strengthened via global health partnerships especially with collaborations from regions with more available resources. The group concurred that the phenomena of ‘neurophobia’ amongst general paediatricians and medical trainees, was a reality, and creates barriers both working with paediatric colleagues, as well as recruiting specialists to the field. Optimal teaching practices for child neurology should include the expansion of learning through global partnerships and virtual educational resources. Measures must be put into place for fledgling training programs, to support colleagues in less resourced settings and to avoid their burn-out. Collegial and collaborative work is essential to support the future of child neurology across the globe, both to reach the current capacity needs but also to meet the necessary growth in the field.

In‐Situ Constructing a Mixed‐Conductive Interfacial Protective Layer for Ultra‐Stable Lithium Metal Anodes

Lithium metal batteries are the most promising next‐generation energy storage technologies due to their high energy density. However, their practical application is impeded by serious interfacial side reactions and uncontrolled dendrite growth of lithium metal anode. Herein, copper 2,4,5‐trifluorophenylacetate is designed and explored to stabilize lithium metal anode by in‐situ constructing a dense and mixed‐conductive interfacial protective layer. The formed passivated layer not only significantly inhibits interfacial side reactions by avoiding direct contact between lithium metal anode and electrolyte but also effectively suppresses lithium dendrite growth due to the unique inorganic‐rich compositions and mixed‐conductive properties. As a result, the copper 2,4,5‐trifluorophenylacetate‐treated lithium metal anodes show greatly improved cycle stability under both high current density and high areal deposition capacity. Notably, the assembled liquid symmetrical cells with copper 2,4,5‐trifluorophenylacetate‐treated lithium metal anodes can stably work for more than 3000, 5000, and 4800 h at 1.0 mA cm−2–1.0 mAh cm−2, 2.0 mA cm−2–5.0 mAh cm−2, and 10 mA cm−2–5.0 mAh cm−2, respectively. Furthermore, the assembled liquid full cell with a high LiFePO4 loading (~16.9 mg cm−2) shows a significantly enhanced cycle life of 250 cycles with stable Coulombic efficiencies (&gt;99.1%). Moreover, the assembled all‐solid‐state lithium metal battery with a high LiNi0.6Co0.2Mn0.2O2 loading (~5.0 mg cm−2) also exhibits improved cycle stability. These findings underline that the copper 2,4,5‐trifluorophenylacetate‐treated lithium metal anodes show great promise for high‐performance lithium metal batteries.

Re-arquitecturar los territorios, un desafío ineluctable para la sostenibilidad compartida

The dynamic - historical reading of the planning, andthe balances of what we consider as a structural “bad urbanrural development” of the territories (at least since the 60s), is essential. This position, although open to debate, has become evident taking into account the also dynamic reading of the great challenges of sustainable transitions and "resilience”, that have marked planning and management intentions in Central American planning history. This statement necessarily leads torethinking global architectures inherited (built form, forms of management and planning, governance) to define the intensities of the changes. Moving towards this, implies to define the method and the transition system to be implemented, and to define the instruments that allow rehabilitating, reconstructing,remodeling, “re-architecturing” territories and institutions inherited. However, the re-architecture proposed will depend on the collective clarity, first of the pasts carried over, and second the desired futures. Accounting for the "arts" or the "politicalsocialinstitutional techniques" that created (and continue to do) the "metropolitan areas", is today an essential stage to be able to move towards new development models. Indeed, many local and metropolitan challenges, such as the “right to sustainable housing for all” (which has a high component of physicalconstructive design), contain high probabilities of never being effective in the current and trending context. Given that the current political, institutional, economic and social capacities, to make considerable changes in the management of the territories, seem to be compromised. Forging new capabilities and new abilities (financial, environmental, social, and including technical-constructive) is a collective challenge. And collectively conceiving a new urban planning and territorial planning (corrective – preventive and collaborative) is an urgency. ILIA: Investigaciones Latinoamericanas en Ingeniería y Arquitectura, No. 01, 2024: 167-173.

Current Capacity for Diagnosing Alzheimer's Disease in Germany and Implications for Wait Times.

Amyloid-targeting therapies for Alzheimer's disease (AD) might become available in Germany soon. The combination of a large pool of prevalent cases and a complex diagnostic process to determine eligibility for these treatments is likely to challenge health systems' capacity. To analyze Germany's healthcare system capacity to identify treatment-eligible patients in a timely and equitable manner. We modeled patients' diagnostic journey and projects wait times due to capacity constraints for AD specialist visits and PET scans from 2024 to 2043. Model parameters were derived from published data and expert input. Wait times would be ∼50 months over the model horizon, if patients were referred to specialists based on a brief cognitive assessment in primary care. Wait times for patients with social health insurance are projected to be 1.9 times those of patients with private insurance, with peak wait times of around 76 and 40 months, respectively. Adding a blood test for the AD pathology as additional triage step would reduce wait times to below 24 months. In spite of having a well-resourced health system, Germany is projected to be unable to cope with the demand for biomarker-based AD diagnosis, if a disease-modifying AD treatment were introduced. As these treatments might become available by the end of 2024, decisive action, in particular dissemination of high-performing AD blood tests for triage in primary care, will be needed to prevent delays in access and potentially avoidable and inequitable disease progression.

Generating comprehensive lithium battery charging data with generative AI

In optimizing the performance and extending the lifespan of lithium batteries, accurate state prediction is crucial. Traditional regression and classification methods have achieved some success in predicting battery states. However, the effectiveness of these data-driven approaches largely depends on the availability and quality of public datasets. Additionally, generating electrochemical data primarily through battery experiments is a lengthy and costly process, making it extremely difficult to obtain high-quality data. This difficulty, combined with data incompleteness, significantly affects prediction accuracy. To address these challenges, this study introduces End of Life (EOL) and Equivalent Cycle Life (ECL) as supervised conditions for generative AI models. By integrating an embedding layer into the CVAE model, we developed the Refined Conditional Variational Autoencoder (RCVAE). Through preprocessing data into a quasi-video format, coupled with customized training and inference algorithms, the RCVAE generates the required charging data in real time based on the battery’s ECL and EOL. This avoids storing irrelevant information, saving space and resources. RCVAE uses a lightweight architecture, enabling fast generation of necessary voltage, current, temperature, and charging capacity data. This approach provides users with a comprehensive electrochemical dataset, pioneering a new research domain for the artificial synthesis of lithium battery data. Furthermore, based on the detailed synthetic data, various battery state indicators can be calculated, offering new perspectives and possibilities for lithium battery performance prediction.

OTHR-05 FEASIBILITY STUDY ON BRAIN TUMOR BIOBANKING AND REGISTRY IN SUB-SAHARAN AFRICAN COUNTRIES: A QUESTIONNAIRE-BASED SURVEY

Abstract INTRODUCTION Brain tumors constitute significant morbidity and mortality in sub-Saharan Africa (SSA). Improvements in neuro-oncology practice and research have seen increased diagnosis of brain tumors. However, to our knowledge, there have been no previous projects on brain tumor genetics in SSA. To understand the feasibility of developing brain tumor biobanking and registries, this project aims to start by mapping out the current neuro-oncology capacity in terms of workforce and available services. METHODOLOGY We will conduct a descriptive questionnaire-based online survey among a cross section of neuro-oncology practitioners spread across SSA countries. The dissemination of the survey questionnaire will be facilitated by the Society for Neuro-oncology in SSA (SNOSSA). The Google designed questionnaire will capture information on the distribution, and number of available neuro-oncology care practitioners, capacity for brain tumor diagnosis and management, cancer registration, tumor biobanking, and research. CLINICAL IMPACT AND CONCLUSION This study will generate robust data from SSA, which can be used to improve future research and promote advocacy towards brain tumor diagnosis and management. This work will also serve as a pilot study for subsequent research that will focus on the development of brain tumor-specific registries and biorepositories in SSA.

Facilitators and barriers to the implementation of the biobehavioral survey among incarcerated individuals and correctional personnel in Mozambique, 2021- a descriptive study.

Mozambique implemented in 2021 a formative assessment in 22 prisons to identify the operational and logistical needs for the second round of the Biobehavioral Survey (BBS). Barriers and facilitators that could be anticipated in conducting BBS in prisons, in preparation for implementation, was evaluated using semi-structured questionnaires administered to key informants (directors and other kind of managers staff). The data were cleaned and analyzed using Microsoft Excel, and the categorical variables were summarized by means of simple frequencies and percentages. In most prisons the current prison capacity far exceeds the theoretical capacity, 40.9% have a theoretical capacity of ≥ 50 inmates, 81.8% have inmates who exceed their theoretical capacity. In the country half of the prisons receive only male inmates, and only one female, 54.5% of the prisons visited have inmates under 18 years of age, 72.7% of the prisons had a private space available for the survey, the penitentiary establishments have the physical space for study; ensuring the safety of staff within the facilities; involvement of correctional officers and a clinical focal point. However, barriers such as time management due to prison opening hours, prison laws, restrictions, or permits for research may change without notice due to security, lockdowns, riots, or other situations that may hinder the implementation of research. The implementation of successive and regular rounds of BBS in different environments, contexts and populations constitute opportunities for generating information and indicators not always captured by programmatic data and not only as an opportunity for offering and making healthcare available in prison environments that in a routine context, but these populations normally have also not had equal opportunities. Currently, little is known about the implementation of a BBS in a correctional environment and only a few barriers can be anticipated, for Mozambique's context, these challenges and obstacles can be overcome through clear communication and collaboration with officials at all levels.