Monitoring Of Progression Research Articles

Assessing Efficiency in Education: The Imperative of Curriculum-Based Measurements

This article explores the limitations of traditional maximum performance tests in psychological assessments within educational settings, highlighting the need for efficiency assessments to better understand students’ real-world capabilities. While maximum performance tests like IQ and achievement tests reveal peak abilities under optimal conditions, they often fail to reflect students’ proficiency and speed, crucial for classroom success. Efficiency assessments, such as Curriculum-Based Measurements (CBMs), provide valuable insights by evaluating both accuracy and speed, offering a more practical measure of skill mastery. By integrating these assessments, psychologists can more accurately identify areas of need, inform targeted interventions, and monitor progress, ensuring tailored support for each student’s unique learning profile. This comprehensive approach enhances academic development, ensuring that students receive the necessary support to thrive in educational settings.

Junior High School Written Work Fluent and Accurate

The present study determined the written language performance of junior high school students at Bulan National High School S. Y.2023 - 2024. The study utilized a mixed methods approach, combining quantitative and qualitative methods to assess the students' written language proficiency. Quantitative data were collected using rubrics to evaluate fluency and accuracy, while qualitative data were obtained through content analysis of the students' essays. The findings revealed that the students' performance in terms of fluency and accuracy varied, with areas of improvement identified in both aspects. Difficulties encountered by the participants included challenges in maintaining coherence and organization in their writing, as well as issues related to spelling accuracy and punctuation and capitalization usage. Based on the findings, an action plan titled "Enhancing Written Language Skills Program" was proposed to address these challenges and improve the students' writing abilities. The study's conclusions indicated that while the average performance level of the junior high school students in terms of fluency and accuracy met the set standards, there were variations in individual performance levels. The participants faced difficulties in fluency and accuracy, including challenges related to content fluency, organization of ideas, spelling accuracy, and proper punctuation and capitalization usage. To address these challenges, the study recommended differentiated instruction, explicit instruction on effective writing components, targeted practice activities, self - editing and revision strategies, a comprehensive curriculum integrating explicit instruction and authentic writing tasks, professional development for teachers, formative assessments for progress monitoring, fostering a supportive writing environment, and utilizing technology resources. In addition to the recommendations from the study, further research was recommended to investigate the effectiveness of different instructional strategies in improving students' writing skills. This research could compare explicit instruction with other approaches, such as inquiry - based learning or project - based learning, to determine their impact on fluency, coherence, accuracy, and organization. Conducting such research would provide valuable insights and evidence - based recommendations for educators to enhance their instructional practices and support students' development in writing with fluency and accuracy.

Motor development trajectories of children with cerebral palsy in a community-based early intervention program in rural South India

BackgroundDevelopmental trajectories are crucial for evidence-based prognostication, planning interventions, and monitoring progress in children with cerebral palsy (CP). AimsTo describe gross motor development patterns of children with CP in rural South India for the five Gross Motor Function Classification System (GMFCS) levels. MethodsLongitudinal cohort study of 302 children (176 males, 126 females) with CP aged 0 to 10 years, followed by a community-based early intervention program. GMFCS levels were 5.4 % level 1, 16.5 % level II, 22.8 % level III, 26.8 % level IV, and 28.5 % level V. Assessments were undertaken using the Gross Motor Function Measure (GMFM-66) at 6-month intervals between April 2017 and August 2020. Longitudinal analyses were performed using mixed-effects linear regression models. Outcomes and resultsFive distinct motor development curves were created for ages 0 to 10 years by GMFCS levels as a function of age and GMFM-66 with a stable limit model, variation in estimated limits and rates of development. Conclusions and ImplicationsMotor development trajectories for CP in an LMIC differ from those reported in HICs. Consideration of how social determinants of health, environmental and personal factors impact motor development in low-resource contexts is crucial. Further work is needed to describe developmental trajectories of children for CP in LMICs.

Early diagnosis, monitoring, profiling, and management of bayberry twig blight disease by nitrogen metabolism

Pestalotiopsis versicolor, pathogen of Bayberry Twig Blight Disease causes wilt and leaf spots thereby reducing the photosynthetic area which ultimately leads to production of small fruits with poor nutritional quality. Due to heavy dependence on chemicals with its detrimental effect, new biofriendly measures are sort. Surface-enhanced Raman scattering technology was used in early discovery and monitoring of the disease progression in bayberry seedlings. The spectra 1454.46 cm−1 was inferred as the fingerprint of the fungus. MgO nano-bioprotectant (MgONBs) antifungal mechanism of action was studied via transcriptomic and metabolomic profiling at 12 and 24 h post-inoculation (hpi) with P. versicolor and metagenomics profiling at 7 and 14 days post-inoculation (dpi) with P. versicolor. MgONBs enhanced the recruitment of Bradyrhizobium to overcome the attack of P. versicolor. Nitrogen fixation activities in the diseased leaves at 7 and 14 dpi were significantly reduced, while it was significantly increased from 17.74 % in the diseased leaves to 26.79 % in the diseased leaves treated with MgONBs at 14 dpi. Thus, activating bayberry defense by increasing its nitrogen metabolism. In addition, in MgONBs group compared to control, urea, L-Methionine sulfone, and 5-Aminosalicylic acid compounds were activated which enriched its defense and signaling pathways. Upregulated differentially expressed genes in MgONBs relative to the control at 12 and 24 hpi mapped to KEGG pathways involved in amino acid metabolism which was tightly linked to photosynthesis gene (CJ030_MR1G012863). Our results reveals the mechanism of action of MgONBs in combatting phytopathogens.

Developing Evidence to Support Policy: Protocol for the StrAtegic PoLicy EvIdence-Based Evaluation CeNTer (SALIENT).

All federal agencies are required to support appropriation requests with evidence and evaluation (US Public Law 115-435; the Evidence Act). The StrAtegic PoLicy EvIdence-Based Evaluation CeNTer (SALIENT) is 1 of 6 centers that help the Department of Veterans Affairs (VA) meet this requirement. Working with the existing VA evaluation structure, SALIENT evaluations will contribute to (1) optimize policies and programs for veteran populations; (2) improve outcomes regarding health, equity, cost, and provider well-being; (3) advance the science of dissemination and knowledge translation; and (4) expand the implementation and dissemination science workforce. We leverage the Lean Sprint methodology (iterative, incremental, rule-governed approach to clearly defined, and time-boxed work) and 3 cores to develop our evaluation plans collaboratively with operational partners and key stakeholders including veterans, policy experts, and clinicians. The Operations Core will work with evaluation teams to develop timelines, facilitate work, monitor progress, and guide quality improvement within SALIENT. The Methods Core will work with evaluation teams to identify the most appropriate qualitative, quantitative, and mixed methods approaches to address each evaluation, ensure that the analyses are conducted appropriately, and troubleshoot when problems with data acquisition and analysis arise. The Knowledge Translation (KT) Core will target key partners and decision makers using a needs-based market segmentation approach to ensure that needs are incorporated in the dissemination of knowledge. The KT Core will create communications briefs, playbooks, and other materials targeted at these market segments to facilitate implementation of evidence-based practices and maximize the impact of evaluation results. The SALIENT team has developed a center infrastructure to support high-priority evaluations, often to be responsive to shifting operational needs and priorities. Our team has engaged in our core missions and operations to rapidly evaluate a high-priority areas, develop a comprehensive Lean Sprint systems redesign approach to training, and accelerate rapid knowledge translation. With an array of interdisciplinary expertise, operational partnerships, and integrated resources, SALIENT has an established and evolving infrastructure to rapidly develop and implement high-impact evaluations. Projects are developed with sustained efficiency approaches that can pivot to new priorities as needed and effectively translate knowledge for key stakeholders and policy makers, while creating a learning health system infrastructure to foster the next generation of evaluation and implementation scientists. PRR1-10.2196/59830.

Transition from acute kidney injury to chronic kidney disease: mechanisms, models, and biomarkers.

Acute kidney injury (AKI) and chronic kidney disease (CKD) are increasingly recognized as interconnected conditions with overlapping pathophysiological mechanisms. This review examines the transition from AKI to CKD, focusing on the molecular mechanisms, animal models, and biomarkers essential for understanding and managing this progression. AKI often progresses to CKD due to maladaptive repair processes, persistent inflammation, and fibrosis, with both conditions sharing common pathways involving cell death, inflammation, and extracellular matrix (ECM) deposition. Current animal models, including ischemia-reperfusion injury (IRI) and nephrotoxic damage, help elucidate these mechanisms but have limitations in replicating the complexity of human disease. Emerging biomarkers such as kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), and soluble tumor necrosis factor receptors (TNFRs) show promise in early detection and monitoring of disease progression. This review highlights the need for improved animal models and biomarker validation to better mimic human disease and enhance clinical translation. Advancing our understanding of the AKI-to-CKD transition through targeted therapies and refined research approaches holds the potential to significantly improve patient outcomes.

A multi-country survey on sanitation systems in underserved urban settlements in the Melanesian Pacific region

Safe and enduring water, sanitation, and hygiene (WASH) for all is the key target of Sustainable Development Goal 6. Despite progress in global WASH monitoring to support SDG 6, significant data gaps persist, especially in urban informal settlements in the Melanesian Pacific Region. This study aimed to improve understanding of existing sanitation systems, residents’ preferences, and climate hazard exposure in these areas. Household surveys were conducted with 393 households in Suva (Fiji) and Port Vila (Vanuatu). Water availability for sanitation was high in Suva (99%) and Port Vila (70%), with noted improvements in sanitation superstructure. However, dry pits without slabs remain significant (15%) in Port Vila. The preference for water-based systems highlights the need for a resilient sanitation service chain, including adequate faecal sludge management, which was problematic in both locations. Reports of climate-driven hazard damage were more frequent in Vanuatu, with one in three respondents reporting impacts on their sanitation services.

Socio-medical Factors Associated with Neurodevelopmental Disorders on the Kenyan Coast.

Neurodevelopmental disorders (NDDs) are a group of conditions with their onset during the early developmental period and include conditions such as autism, intellectual disability and attention deficit hyperactivity disorder (ADHD). Occurrence of NDDs is thought to be determined by both genetic and environmental factors, but data on the role of environmental risk factors for NDD in Africa is limited. This study investigates environmental influences on NDDs in children from Kenya. This case-control study compared children with NDDs and typically developing children from two studies on the Kenyan coast that did not overlap. We included 172 of the study participants from the Kilifi Autism Study and 151 from the NeuroDev Study who had a diagnosis of at least one NDD and 112 and 73 with no NDD diagnosis from each study, respectively. Potential risk factors were identified using unadjusted univariable analysis and adjusted multivariable logistic regression analysis. Univariable analysis in the Kilifi Autism Study sample revealed hypoxic-ischaemic encephalopathy conferred the largest odds ratio (OR) 10.52 (95%CI 4.04 - 27.41) for NDDs, followed by medical complications during pregnancy (gestational hypertension & diabetes, eclampsia, and maternal bleeding) OR: 3.17 (95%CI 1.61 - 6.23). In the NeuroDev study sample, labour and birth complications (OR: 7.30 (2.17 - 24.61)), neonatal jaundice (OR: 5.49 (95%CI 1.61 - 18.72)) and infection during pregnancy (OR: 5.31 (1.56 - 18.11)) conferred the largest risk associated with NDDs. In the adjusted analysis, seizures before age 3 years in the Kilifi Autism study and labour and birth complications in the NeuroDev study conferred the largest increased risk. Higher parity, the child being older and delivery at home were associated with a reduced risk for NDDs. Recognition of important risk factors such as labour and birth complications could guide preventative interventions, developmental screening of at-risk children and monitoring progress. Further studies examining the aetiology of NDDs in population-based samples, including investigating the interaction between genetic and environmental factors, are needed.

FEATURES OF THE DESIGN AND IMPLEMENTATION OF INVESTMENT AND CONSTRUCTION PROJECTS UNDER CONDITIONS OF BALANCED DEVELOPMENT

The development and implementation of investment and construction projects on the basis of balanced development is critical for achieving sustainable growth. This article examines the key features and challenges associated with such projects, emphasizing the importance of integrating economic, environmental and social practices into construction activities. The study provides insights into best practices and strategies for effectively managing investment and construction projects to ensure long-term success and sustainability.The main goals of this article are the definition of the fundamental principles of balanced development in the context of investment and construction projects, the analysis of features that contribute to the achievement of balanced development.The article uses a comprehensive review of the literature and case studies, which allows for a holistic understanding of the multifaceted nature of investment and construction projects in conditions of balanced development. Emphasis is placed on the integration of sustainable development principles from the initial stages of design. This includes consideration of environmental impact assessment, efficient use of resources and use of sustainable materials and technologies. Also, the goal of project implementation is that the projects are economically feasible and provide long-term financial returns. This involves careful market analysis, cost-benefit analysis and risk management strategies to mitigate potential financial problems. The importance of involving all relevant stakeholders, including local communities, government bodies and investors, in the decision-making process is emphasized. Effective communication and collaboration are necessary to address diverse interests and reach consensus. Ensures compliance of projects with national and international rules and standards. This applies to environmental regulations, building regulations and labor legislation. Compliance minimizes legal risks and increases project credibility.Focused on optimizing the use of resources such as materials, labor and time, implementing lean construction methods and advanced project management practices can increase efficiency and reduce waste.The implementation of advanced technologies such as building information modeling (BIM), automation and renewable energy systems increase design accuracy, reduce costs and increase sustainability. Conformity of construction work to established quality standards, regular inspections, testing and adherence to best practices are critical to obtaining high quality results.Constant monitoring of project progress and effectiveness is emphasized. The use of key performance indicators (KPIs) and regular evaluations help to identify problems early and make the necessary adjustments.The development and implementation of investment and construction projects in conditions of balanced development requires a complex and integrated approach. By prioritizing sustainability, economic viability, stakeholder engagement and regulatory compliance, stakeholders can ensure these projects contribute positively to long-term growth and development. The paper provides a road map to navigate the complexities of such projects, ultimately contributing to a more resilient and sustainable human-made environment

A quantitative real-time PCR assay for rapid detection and quantification of Amyloodinium ocellatum parasites in seawater samples

Amyloodinium ocellatum is one of the most important ectoparasites of marine fish, causing amyloodiniosis and mass mortality in aquaculture. To date, no diagnostic method has been developed to detect and quantify parasite abundance in seawater. In this study, a quantitative real-time PCR (qPCR) assay using the ITS-F3 and ITS-R3 primer pair based on the internal transcribed spacers of nuclear ribosomal DNA (ITS rDNA) of A. ocellatum was successfully established for the detection and quantification of dinospores in seawater. The dinospores were collected by suction filtration of seawater using a vacuum pump, and examination by light microscopy and scanning electron microscopy (SEM) showed that the dinospores were adsorbed on the surface of the cellulose acetate membrane. The linear relationship between seawater parasite abundance and Ct values followed the model y = −3.0607 x + 29.919 with a coefficient of determination (R2) of 0.985. The results of the assay showed high reproducibility and no cross-reactivity with other aquatic pathogens. The assay successfully detected dinospores (100 % success rate) at concentrations of 8 and 10 cell per 300 mL of seawater. The protective fluid buffer effectively protected the dinospores DNA from degradation for over 96 h. The method was used to investigate the life span of dinospores in seawater and the incubation patterns of tomonts in the tank, the results showed that a small fraction of dinospores can survive for more than 7 days in seawater and the process of dinospores incubation from the tomonts persisted up to 84 h. This study provides a valuable quantitative diagnostic tool to assist in the early monitoring and understanding of disease progression in amyloodinosis.

The Current and Novel Imaging Modalities for Ocular Vasculitis in Behcet's Disease: A Review.

Behcet's syndrome is a multisystem inflammatory disorder characterized by a chronic relapsing course and diverse clinical manifestations, prominently affecting young adults along the ancient Silk Road and beyond. The disease pathogenesis involves complex interactions between genetic predisposition, environmental triggers, and dysregulated immune responses, leading to systemic vasculitis and tissue damage. Ocular involvement, a hallmark of Behcet's Disease (BD), significantly impacts morbidity, with uveitis as a common initial presentation that can progress to severe vision-threatening complications like retinal vasculitis and occlusive disease. This review consolidates current knowledge on ocular manifestations in BD, emphasizing the pivotal role of multimodal imaging in diagnostic evaluation and management. Fundus photography serves as a baseline tool for documenting intraocular lesions and monitoring treatment responses. Fluorescein angiography remains the gold standard for detecting acute inflammatory changes and vascular leakage patterns essential for disease staging and prognostication. Recent advancements in imaging, such as ultra-wide field imaging (UWF), indocyanine green angiography (ICGA), Doppler ultrasonography, Optical Coherence Tomography (OCT), OCT angiography (OCTA), adaptive optics (AO), and retinal function imaging (RFI), provide unprecedented insights into microvascular dynamics, structural changes, and functional impairments associated with ocular BD. Integration of these advanced imaging modalities enhances early detection of subclinical disease, facilitates precise localization of inflammatory lesions, guides therapeutic interventions, and monitors treatment efficacy. OCT and OCTA, in particular, offer non-invasive, high-resolution assessments of macular edema, vascular perfusion abnormalities, and choroidal thickness alterations critical for optimizing patient care. In conclusion, multimodal imaging represents the cornerstone in the comprehensive management of ocular manifestations in Behcet's Disease, offering clinicians invaluable tools for accurate diagnosis, treatment planning, and long-term monitoring of disease progression and treatment outcomes.

An IoT-based contactless neonatal respiratory monitoring system for neonatal care assistance in postpartum center

According to previous studies, one of the major causes of 20 % to 25 % of neonatal deaths is respiratory distress syndrome (RDS). Early identification, progressive monitoring, and treatment and/or management of neonatal RDS can substantially increase the rate of survival in neonates. However, global research indicates frequent shortages and burnout among nursing staff, especially in postpartum units, contributing to the difficulty in early identification of RDS in neonates. Clinicians currently use breathing sounds and frequency as key criteria in the Neonatal Resuscitation Program (NRP) for identifying and treating RDS. In practice, the monitoring of respiratory signal abnormalities relies on sensor patches, which frequently detach from the neonates’ slippery skin, leading to potential skin injuries and unstable signal reception. This paper presents an Internet of Things (IoT)-based contactless neonatal respiratory monitoring system that integrates computer vision (CV), beamforming microphone array (BFMA), and millimeter Wave (mmWave) radar, all connected to a cloud platform. Clinical trials revealed that CV-based neonatal feature identification achieved over 96 % accuracy within 40 cm to 120 cm. The neonatal breathing sound strengthening, utilized CV and BFMA, achieved an average sound-to-noise ratio (SNR) of 5.07 dB, and CV with mmWave radar reduced chest displacement signal error from 0.66 to 0.26 BPM. Additionally, survey results showed that doctors and clinical personnel were satisfied with the system's functionality and usability. This demonstrates the system's ability to assist in monitoring respiratory signals of swaddled neonates and in the early identification of neonatal RDS, with further applications in neonatal care at postpartum centers.

Role of Mitochondrial Dysfunctions in Neurodegenerative Disorders: Advances in Mitochondrial Biology.

Mitochondria, essential organelles responsible for cellular energy production, emerge as a key factor in the pathogenesis of neurodegenerative disorders. This review explores advancements in mitochondrial biology studies that highlight the pivotal connection between mitochondrial dysfunctions and neurological conditions such as Alzheimer's, Parkinson's, Huntington's, ischemic stroke, and vascular dementia. Mitochondrial DNA mutations, impaired dynamics, and disruptions in the ETC contribute to compromised energy production and heightened oxidative stress. These factors, in turn, lead to neuronal damage and cell death. Recent research has unveiled potential therapeutic strategies targeting mitochondrial dysfunction, including mitochondria targeted therapies and antioxidants. Furthermore, the identification of reliable biomarkers for assessing mitochondrial dysfunction opens new avenues for early diagnosis and monitoring of disease progression. By delving into these advancements, this review underscores the significance of understanding mitochondrial biology in unraveling the mechanisms underlying neurodegenerative disorders. It lays the groundwork for developing targeted treatments to combat these devastating neurological conditions.

The Role of Deep Learning and Gait Analysis in Parkinson's Disease: A Systematic Review.

Parkinson's disease (PD) is the second most common movement disorder in the world. It is characterized by motor and non-motor symptoms that have a profound impact on the independence and quality of life of people affected by the disease, which increases caregivers' burdens. The use of the quantitative gait data of people with PD and deep learning (DL) approaches based on gait are emerging as increasingly promising methods to support and aid clinical decision making, with the aim of providing a quantitative and objective diagnosis, as well as an additional tool for disease monitoring. This will allow for the early detection of the disease, assessment of progression, and implementation of therapeutic interventions. In this paper, the authors provide a systematic review of emerging DL techniques recently proposed for the analysis of PD by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The Scopus, PubMed, and Web of Science databases were searched across an interval of six years (between 2018, when the first article was published, and 2023). A total of 25 articles were included in this review, which reports studies on the movement analysis of PD patients using both wearable and non-wearable sensors. Additionally, these studies employed DL networks for classification, diagnosis, and monitoring purposes. The authors demonstrate that there is a wide employment in the field of PD of convolutional neural networks for analyzing signals from wearable sensors and pose estimation networks for motion analysis from videos. In addition, the authors discuss current difficulties and highlight future solutions for PD monitoring and disease progression.

Use of AI in Pediatric Occupational Therapy: A Review

The utilization of artificial intelligence (AI) in pediatric occupational therapy (OT) has emerged as a promising avenue for enhancing assessment, intervention, and outcomes for children with diverse developmental needs. This paper provides a comprehensive review of the current state of AI applications in pediatric OT, highlighting key findings, benefits, challenges, and future directions. AI technologies, including machine learning algorithms, computer vision systems, and wearable sensors, offer innovative approaches to assess children's motor skills, sensory responses, and cognitive functions objectively and efficiently. AI-driven intervention strategies, such as personalized treatment planning, adaptive task selection, virtual reality environments, and gamified activities, promote engagement, motivation, and skill acquisition among pediatric patients. AI can be helpful in early diagnosis as well as early intervention. Additionally, AI-powered telehealth platforms enable remote delivery of OT services, real-time monitoring of patient progress, and access to care for underserved populations. However, challenges related to data privacy, ethical decision-making, disparities in access, and therapist education must be addressed to ensure the ethical, effective, and equitable integration of AI into pediatric OT practice. By embracing ongoing research, collaboration, and innovation, pediatric OT practitioners can harness the transformative potential of AI to improve outcomes and quality of life for children and families worldwide.

Hip joint degeneration - not only an issue of the elderly

Introduction: Legg-Calve-Perthes Disease (LCPD) is a condition characterized by ischemia of the proximal femoral epiphysis, leading to pain, limping, and potential hip joint deformities in children. Its etiology remains unclear, with theories implicating repetitive microtrauma, skeletal retardation, and vascular insufficiency. Diagnosis involves radiological assessment and classification systems to monitor disease progression, influencing treatment decisions and long-term outcomes. Material and methods: This study summarizes existing literature and clinical data on LCPD, focusing on etiological theories, diagnostic methods, treatment strategies, risk factors, and prognostic indicators. Information was gathered from medical databases, peer-reviewed journals, and case studies to compile a comprehensive overview of the disease. Aim of study: The aim was to gather current knowledge on LCPD, emphasizing diagnostic approaches, treatment modalities, and factors influencing clinical outcomes. Special attention was given to discussing the efficacy of various treatment options and identifying prognostic factors that impact the disease trajectory. Conclusion: Effective management of LCPD hinges on early diagnosis, appropriate treatment selection, and careful monitoring of disease progression. Prognosis is influenced by factors such as age at diagnosis, extent of femoral head involvement, and maintenance of hip joint congruence. Further research is needed to refine treatment protocols and improve long-term outcomes for affected children.

Transforming and Modernizing Population and Housing Censuses in Africa: Experiences from the 2020 Round (2015-2024)

The objective of our organization is to assist African National Statistical Offices (NSOs) to transition from manual to digital systems, use better methods and new technologies, and increase the reliability and accessibility of their statistics. Innovative approaches adopted to support the transformation to digital censuses include: Use of hand-held devices at the enumeration and dissemination stages to improve data collection and usability respectively. Use of GIS, GPS and digital remote-sensing to enable census-mapping. Provisioning of tablets – sourcing and sharing. Electronic operations dashboards to enable real-time monitoring of progress and quality of enumeration. Automatic data linkage algorithms for census to post-enumeration survey matching. Capacity building initiatives for NSO staff. As a result, to date 29 censuses have been carried out in the 2020 Round, with another 19 planned for 2024/25. Delays have been caused by economic, security and political constraints, as well as the Covid-19 pandemic. The implications of adopting new technologies are clear. Electronic data collection improves quality, reduces processing time and enabled enumeration during the pandemic by minimizing face-to-face contact. We will support documentation of experiences and lessons learnt in the current census round to contribute to the 2030 round. In conclusion, the challenge of working during the pandemic gives NSOs an opportunity to ‘build back better’ and transition to full digital systems. There is a need to focus on the types of results that make the most difference e.g., on disaggregation, small area statistics, Sustainable Development Goals (SDGs) reporting, Agenda 2063 reporting, and monitoring of national development plans.

WP6.7 - Decolonising the roots of a UK undergraduate surgical curriculum

Abstract Aim To review our UK undergraduate medical school curriculum, by considering the legacies of the British and European empires and how they continue to affect how we perceive, structure and teach our surgical course. Method We developed a medical student led focus group to assess the existing taught surgical curriculum and monitor progression over time in both recognizing the impacts of colonialism and initiating a transformation of teaching towards equity, inclusivity and decolonisation. We encouraged open discussions about awkward traditional teaching and imagery. Facilitating the dialogue with both surgical faculty and medical students. Results These are some of root cause themes that students reviewing the surgical curriculum highlighted-Unconscious bias relating to perceived race, class and UK as well as global ethnicity.Using a range of ethnically diverse skin tones for clinical images.Discussing how Eurocentric medical teaching has affected or suppressed minorities.Using a range of ethnically diverse British names.Highlight gaps in research investigating cultural disparities.Highlight why disparities exist between different communities regarding the incidence and survival of cancer due to a range of social and economic factors. Conclusions A student led group, supported by senior clinicians enabled this discourse to take place and to be taken seriously enough for change to begin. Encouraging students to challenge dogmas and provide a framework of understanding to provide equitable patient care. Shining a light onto all corners of our surgical course. Accepting as well as explaining the issues of the past to guide future curriculum development.

Long-term outcomes in children with riboflavin transporter deficiency and surveillance recommendations.

The aim of this longitudinal case series was to describe long-term functional outcome in a group of individuals with riboflavin transporter deficiency (RTD) treated with high-dose oral riboflavin. Data were collected between 2012 to 2022. Eleven individuals with RTD were assessed at 12-month intervals for monitoring of disease progression. Patients had commenced high-dose oral riboflavin from the time of genetic diagnosis. Individuals for whom riboflavin supplementation was initiated early after disease onset had better outcomes compared to those in whom diagnosis was delayed. Despite ongoing riboflavin supplementation, the Charcot-Marie-Tooth disease Pediatric Scale (CMTPedS) total score and the subitems of balance and the 6-Minute Walk Test distance as well as respiratory function worsened, while grip strength improved. There was evidence of improvement in hearing loss and optic atrophy limited to the first 12 months of treatment. While treatment with riboflavin slowed disease progression, patients were left with residual disability. To track disease progression and response to riboflavin supplementation over time, we recommend using the RTD Pediatric Scale and provide a list of clinical measures for regular surveillance of children with RTD.

Advances, challenges, and prospects of electroencephalography-based biomarkers for psychiatric disorders: a narrative review.

Owing to a lack of appropriate biomarkers for accurate diagnosis and treatment, psychiatric disorders cause significant distress and functional impairment, leading to social and economic losses. Biomarkers are essential for diagnosing, predicting, treating, and monitoring various diseases. However, their absence in psychiatry is linked to the complex structure of the brain and the lack of direct monitoring modalities. This review examines the potential of electroencephalography (EEG) as a neurophysiological tool for identifying psychiatric biomarkers. EEG noninvasively measures brain electrophysiological activity and is used to diagnose neurological disorders, such as depression, bipolar disorder (BD), and schizophrenia, and identify psychiatric biomarkers. Despite extensive research, EEG-based biomarkers have not been clinically utilized owing to measurement and analysis constraints. EEG studies have revealed spectral and complexity measures for depression, brainwave abnormalities in BD, and power spectral abnormalities in schizophrenia. However, no EEG-based biomarkers are currently used clinically for the treatment of psychiatric disorders. The advantages of EEG include real-time data acquisition, noninvasiveness, cost-effectiveness, and high temporal resolution. Challenges such as low spatial resolution, susceptibility to interference, and complexity of data interpretation limit its clinical application. Integrating EEG with other neuroimaging techniques, advanced signal processing, and standardized protocols is essential to overcome these limitations. Artificial intelligence may enhance EEG analysis and biomarker discovery, potentially transforming psychiatric care by providing early diagnosis, personalized treatment, and improved disease progression monitoring.