Research Settings Research Articles

GenAI for Scientific Discovery in Electrochemical Energy Storage: State-of-the-Art and Perspectives from Nano- and Micro-Scale.

The transition to electric vehicles (EVs) and the increased reliance on renewable energy sources necessitate significant advancements in electrochemical energy storage systems. Fuel cells, lithium-ion batteries, and flow batteries play a key role in enhancing the efficiency and sustainability of energy usage in transportation and storage. Despite their potential, these technologies face limitations such as high costs, material scarcity, and efficiency challenges. This research introduces a novel integration of Generative AI (GenAI) within electrochemical energy storage systems to address these issues. By leveraging advanced GenAI techniques like Generative Adversarial Networks, autoencoders, diffusion and flow-based models, and multimodal large language models, this paper demonstrates significant improvements in material discovery, battery design, performance prediction, and lifecycle management across different types of electrochemical storage systems. The research further emphasizes the importance of nano- and micro-scale interactions, providing detailed insights into optimizing these interactions for improved efficiency and longevity. Additionally, the paper discusses the challenges and future directions for integrating GenAI in energy storage research, highlighting the importance of data quality, model transparency, workflow integration, scalability, and ethical considerations. By addressing these aspects, this research sets a new benchmark for the use of GenAI in battery development, promoting sustainable, efficient, and safer energy solutions.

A corpus of audio-visual recordings of linguistically balanced, Danish sentences for speech-in-noise experiments

A typical speech-in-noise experiment in a research and development setting can easily contain as many as 20 conditions, or even more, and often requires at least two test points per condition. A sentence test with enough sentences to make this amount of testing possible without repetition does not yet exist in Danish. Thus, a new corpus has been developed to facilitate the creation of a sentence test that is large enough to address this need. The corpus itself is made up of audio and audio-visual recordings of 1200 linguistically balanced sentences, all of which are spoken by two female and two male talkers. The sentences were constructed using a novel, template-based method that facilitated control over both word frequency and sentence structure. The sentences were evaluated linguistically in terms of phonemic distributions, naturalness, and connotation, and thereafter, recorded, postprocessed, and rated on their audio, visual, and pronunciation qualities. This paper describes in detail the methodology employed to create and characterize this corpus.

Unpacking “Social Vulnerability” and “Equity”: Critical Insights From Stormwater Climate Adaptation Research in the US Gulf Coast

AbstractThis paper assesses how the concepts of social vulnerability and equity are discursively constructed in co‐production research settings with a co‐created decision support tool. The data was collected during workshops (32 communities represented) and interviews (24 communities represented) with stormwater managers and stakeholders (SMS) working in small cities, counties/parishes, and villages and towns within 100 miles of the US Gulf Coast. Findings from participant observation of workshops show that SMS express similar viewpoints regarding indicators of social vulnerability to climate‐related hazards, often defining vulnerable people as less physically mobile or as having few monetary resources. Individuals articulated “community” through a lens of homeownership and often described their relationship to residents as strained. Findings from interviews reveal divergent viewpoints on the imperative and rationale for integrating social vulnerability data into stormwater assessments and planning. Interviews also generated more critical reflection than was present in workshops regarding racial disparities in flood hazard exposure. A key insight from this article is that tools and team composition matter but there is nuance in the degree to which they matter considering a range of contextual factors. The article argues that co‐production teams must plan for alternatives and different scenarios given the messiness of co‐production in practice and that research is needed to reveal the conditions under which specific tools matter for equity in terms of both process and outcomes.

Reliability of Theory of Mind Tasks in Schizophrenia, ASD, and Nonclinical Populations: A Systematic Review and Reliability Generalization Meta-analysis.

Though theory of mind (ToM) is an important area of study for different disciplines, however, the psychometric evaluations of ToM tasks have yielded inconsistent results across studies and populations, raising the concerns about the accuracy, consistency, and generalizability of these tasks. This systematic review and meta-analysis examined the psychometric reliability of 27 distinct ToM tasks across 90 studies involving 2771 schizophrenia (SZ), 690 autism spectrum disorder (ASD), and 15,599 nonclinical populations (NC). Findings revealed that while all ToM tasks exhibited satisfactory internal consistency in ASD and SZ, about half of them were not satisfactory in NC, including the commonly used Reading the Mind in the Eye Test and Hinting Task. Other than that, Reading the Mind in the Eye Test showed acceptable reliability across populations, whereas Hinting Task had poor test-retest reliability. Notably, only Faux Pas Test and Movie for the Assessment of Social Cognition had satisfactory reliability across populations albeit limited numbers of studies. However, only ten studies examined the psychometric properties of ToM tasks in ASD adults, warranting additional evaluations. The study offered practical implications for selecting ToM tasks in research and clinical settings, and underscored the importance of having a robust psychometric reliability in ToM tasks across populations.

Core CSF Biomarker Profile in Cerebral Amyloid Angiopathy: Updated Meta-Analysis.

There is a clear need to characterize and validate molecular biomarkers of cerebral amyloid angiopathy (CAA), in an effort to improve diagnostics, especially in the context of patients with Alzheimer disease (AD) receiving immunotherapies (for whom underlying CAA is the driver of amyloid-related imaging abnormalities). We performed an updated meta-analysis of 5 core CSF biomarkers (Aβ42, Aβ40, Aβ438, total tau [T-tau], and phosphorylated tau [P-tau]) to assess which of these are most altered in sporadic CAA. We systematically searched PubMed for eligible studies reporting data on CSF biomarkers reflecting APP metabolism (Aβ42, Aβ40, Aβ38), neurodegeneration (T-tau), and tangle pathology (P-tau), in symptomatic sporadic CAA cohorts (based on the Boston criteria) vs control groups and/or vs patients with AD. Biomarker performance was assessed in random-effects meta-analysis based on ratio of mean (RoM) biomarker concentrations in (1) patients with CAA to controls and (2) CAA to patients with AD. RoM >1 indicates higher biomarker concentration in CAA vs comparison population, and RoM <1 indicates higher concentration in comparison groups. 8 studies met inclusion criteria: a total of 11 CAA cohorts (n = 289), 9 control cohorts (n = 310), and 8 AD cohorts (n = 339). Overall included studies were of medium quality based on our assessment tools. CAA to controls had lower mean level of all amyloid markers with CSF Aβ42, Aβ40, and Aβ38 RoMs of 0.46 (95% CI 0.38-0.55, p < 0.0001), 0.70 (95% CI 0.63-0.78, p < 0.0001), and 0.71 (95% CI 0.56-0.89, p = 0.003), respectively. CSF T-tau and P-tau RoMs of patients with CAA to controls were both greater than 1: 1.56 (95% CI 1.32-1.84, p < 0.0001) and 1.31 (95% CI 1.13-1.51, p < 0.0001), respectively. Differentiation between CAA and AD was strong for CSF Aβ40 (RoM 0.76, 95% CI 0.69-0.83, p < 0.0001) and Aβ38 (RoM 0.55, 95% CI 0.38-0.81, p < 0.0001), but not Aβ42 (RoM 1.00; 95% CI 0.81-1.23, p = 0.970). For T-tau and P-tau, average CSF ratios in patients with CAA vs AD were 0.64 (95% CI 0.58-0.71, p < 0.0001) and 0.64 (95% CI 0.58-0.71, p < 0.0001), respectively. Specific CSF patterns of Aβ42, Aβ40, Aβ38, T-tau, and P-tau might serve as molecular biomarkers of CAA, in research and clinical settings, offering the potential to improve the clinical diagnostic approach pathway in specific scenarios.

A Comprehensive Review of Electromyography in Rehabilitation: Detecting Interrupted Wrist and Hand Movements with a Robotic Arm Approach

Electromyography (EMG) is a diagnostic technique that measures the electrical activity generated by skeletal muscles. Utilizing electrodes placed either on the skin (surface EMG) or inserted directly into the muscle(intramuscular EMG), it detects electrical signals produced during muscle contractions. EMG is widely employed in clinical and research settings to assess muscle function, diagnose neuromuscular disorders,and guide rehabilitation therapy. Over the years, EMG has evolved from a basic measurement tool into an essential technology within clinical and research environments, propelled by advances in recording techniques and digital innovations. The integration of wearable technology and artificial intelligence (AI) has significantly expanded its applications, particularly in rehabilitation and sports science. By capturing muscle electrical activity through surface or intramuscular electrodes, EMG benefits from enhanced signal processing that improves accuracy and data analysis. Despite challenges such as signal interference and the complexities of movement patterns—especially in wrist and hand rehabilitation—EMG combined with robotic systems offers real-time feedback for precise and personalized therapy. However, obstacles like cost, complexity, and variability among patients still remain. Future advancements aim to make EMG more accessible and to integrate AI for tailored rehabilitation strategies, alongside improvements in sensors and wireless communication to enhance reliability and performance. This review explores various facets of EMG,from its fundamental principles to its application in detecting disrupted wrist and hand movements through robotic approaches. It provides a comprehensive analysis of EMG’s historical and technological evolution, recent innovations like AI and wearable devices, and its extensive applications in rehabilitation and sports science. Detailed case studies illustrate its effectiveness in areas such as stroke recovery and spinal cord injury rehabilitation. Additionally, the review addresses challenges like technical limitations and patient variability while emphasizing the integration of EMG with robotic systems for personalized therapy. It also discusses the significance of real-time feedback, future enhancements in AI and sensor technology, and the pressing need for more affordable, user-friendly solutions to improve therapeutic outcomes.

Impact of LEGO® Based Therapy on Skills Development and Quality of Life in People with Neurodevelopmental Disorders.

This research sets out to evaluate the impact of LEGO® Based Therapy on the development of skills and quality of life for people with neurodevelopmental disorders, as well as for those close to them. Widely used in the United States and the United Kingdom for almost 20 years, LEGO® Based Therapy was developed by Daniel Le Goff, psychologist licensed in Florida and New Jersey who has practiced for over 20 years with children, adolescents and adults with developmental disabilities, including autism, Asperger's syndrome and congenital disabilities, as well as acquired and traumatic brain injuries. Daniel Le Goff has extensive experience as a consultant and expert witness, as well as in direct clinical services, including applied behaviour analysis, cognitive behaviour therapy and cognitive rehabilitation. In 2008, Gina Gómez de la Cuesta completed her PhD at the Centre for Autism Research at the University of Cambridge, where she led and evaluated LEGO®® Based Therapy under the supervision of Daniel LEGO®ff, Simon Baron-Cohen and Ayla Humphrey. She is a teacher and psychologist by training and has worked at the National Autistic Society as Head of Action Research. She founded Play Included in 2018, with support from the Cambridge Social Ventures incubator programme, University of Cambridge to support children's development through play and promote LEGO®Therapy. Initially designed to improve the social skills of people with autism spectrum disorders but no intellectual disabilities, its effectiveness has been demonstrated by studies targeting this specific population. However, no research has yet been carried out in France on its application to a wider population, including various forms of neurodevelopmental disorder. Furthermore, existing studies have not considered the impact on the quality of life of beneficiaries and their families, which this thesis sets out to examine.

Evaluation of a Brief Three-Item Insomnia Severity Index (ISI-3) Among Healthcare Workers

ABSTRACT Objectives Sleep disorder is a growing public health concern that requires attentive assessment and treatment. However, the length of assessment tools for sleep disorders, including insomnia, hinders their use in both research and clinical settings. Brief assessment measures expedite assessment time, reducing respondent burden, and save resources, especially in resource-limited settings. Methods This study investigated the validity and reliability of a short three-item insomnia scale, the Insomnia Severity Index-3 (ISI-3) and established two cutoff scores in a sample of 238 healthcare providers in Oman (45.8% physicians and 54.2% nurses). Results The ISI-3 demonstrated good convergent and divergent validity. The receiver operator characteristic recommended two cutoff scores of > 4 (a sensitivity of 0.87.3 and a specificity of 0.96.4) and > 6 (a sensitivity of 0.96.9 and a specificity of 0.97.1). Conclusions The ISI-3 is a good assessment index of insomnia, especially when the utilization of the full insomnia index is unfeasible.

Initial Development of the Nurse Perception of Infant Condition (NPIC) Scale.

More than 350,000U.S. infants are admitted to the neonatal intensive care unit (NICU) annually and likely experience discomfort. Although nurse perceptions of infant symptoms, suffering, and quality of life (QOL) are valuable, the availability of standardized assessment tools to measure these concepts are limited. To provide preliminary evidence of the internal structure, reliability, and validity of the Nurse Perception of Infant Condition (NPIC) scale. Infants were enrolled from a Level IV NICU in the U.S. Midwest. Nurses reported on their perceptions of the infant symptom experience and their expectations for infant survival. Weekly behavioral observations of infants were obtained before and after standard delivery of care to obtain a comfort score. 237 nurses who cared for 73 infants completed 569 surveys over 28months. All NPIC items were significantly correlated with each other (P <.001). Factor analysis revealed strong evidence of a 2-factor structure (survival and suffering subscales). Both subscales demonstrated good to excellent internal consistency. Together the 2 factors explained 82% of the variability in the scale responses. Limited validity evidence was found. Evidence was found to support the internal structure and reliability of the NPIC scale. However, further item development and refinement is needed to increase the utility NPIC scale in clinical and research settings. The development of improved assessments of the infant NICU experience is warranted. Nurse perceptions of infant suffering or poor QOL may have implications for their expectations for infant survival and possibly care delivery.

Psychometric properties of the generalized anxiety disorder questionnaire (GAD-7) in a polish postpartum women sample

ObjectiveGeneralized Anxiety Disorder is an international mental health problem. Prevalence for anxiety disorders reported in perinatal period is high and related with adverse parental and child outcomes. Thus, the objective of this study was to investigate the psychometric properties and factorial validity of General Anxiety Disorder-7 questionnaire (GAD-7) in the context of postpartum mothers.MethodsIn this cross-sectional study, 278 mothers (mean age 31.09; SD = 4.42) were recruited at the Neonatology, Gynecology, and Obstetrics Ward. Generalized Anxiety Disorder was assessed with GAD-7, stress with Parental Stress Scale (PSS), while risk of depression with Edinburgh Postpartum Depression Scale (EPDS). Confirmatory factor analysis (CFA) was used to verify factor structure of GAD-7 and the internal consistency was evaluated using reliability coefficients: Cronbach’s Alpha and McDonald’s Omega.ResultsThe internal consistency of the GAD-7 was high (Cronbach’s Alpha = 0.90 and MacDonald’s Omega = 0.91). GAD-7 had significant correlations with the variables examined for construct validity, stress (PSS; r = 0.35, p < 0.01) and risk of depression (EPDS; r = 0.76, p < 0.01). The Confirmatory Factor Analysis results supported a good fit of the data to the model: χ²(df) = 14.19 (14), p = 0.44; Comparative Fit Index (CFI) = 0.99; Tucker-Lewis Index (TLI) = 0.99; Root Mean Square Error of Approximation (RMSEA) = 0.007 (90% C.I. 0.000; 0.059).ConclusionGAD-7 has satisfactory psychometric properties. GAD-7 had significant correlations with the variables examined for construct validity with PSS and EPDS. GAD-7 is a reliable instrument for screening anxiety symptoms in perinatal period in research and clinical setting.

Superpixel-ComBat modeling: A joint approach for harmonization and characterization of inter-scanner variability in T1-weighted images

Abstract T1-weighted imaging holds wide applications in clinical and research settings; however, the challenge of inter-scanner variability arises when combining data across scanners, which impedes multi-site research. To address this, post-acquisition harmonization methods such as statistical or deep learning approaches have been proposed to unify cross-scanner images. Nevertheless, how inter-scanner variability manifests in images and derived measures, and how to harmonize it in an interpretable manner, remains underexplored. To broaden our knowledge of inter-scanner variability and leverage it to develop a new harmonization strategy, we devised a pipeline to assess the interpretable inter-scanner variability in matched T1-weighted images across four 3T MRI scanners. The pipeline incorporates ComBat modeling with 3D superpixel parcellation algorithm (namely SP-ComBat), which estimates location and scale effects to quantify the shift and spread in relative signal distributions, respectively, concerning brain tissues in the image domain. The estimated parametric maps revealed significant contrast deviations compared to the joint signal distribution across scanners (p &amp;lt; 0.001), and the identified deviations in signal intensities may relate to differences in the inversion time acquisition parameter. To reduce the inter-scanner variability, we implemented a harmonization strategy involving proper image preprocessing and site effect removal by ComBat-derived parameters, achieving substantial improvement in image quality and significant reduction in variation of volumetric measures of brain tissues (p &amp;lt; 0.001). We also applied SP-ComBat to evaluate and characterize the performance of various image harmonization techniques, demonstrating a new way to assess image harmonization. In addition, we reported various metrics of T1-weighted images to quantify the impact of inter-scanner variation, including signal-to-noise ratio, contrast-to-noise ratio, signal inhomogeneity index, and structural similarity index. This study demonstrates a pipeline that extends the implementation of statistical ComBat method to the image domain in a practical manner for characterizing and harmonizing the inter-scanner variability in T1-weighted images, providing further insight for the studies focusing on the development of image harmonization methodologies and their applications.

B-177 Development of a Contrived Fecal Matrix for Clinical Validation of a LC-MS/MS Assay to Quantify Microbiota-derived Metabolites in Stool Specimens

Abstract Background The gut microbiota plays a critical role in health and its disruption can impact clinical outcomes in a variety of circumstances, including graft-versus-host disease following hematopoietic stem cell transplantation, Clostridioides difficile infections, and liver disease. Metagenomic and metabolomic analyses of fecal material is frequently performed in the research setting; however, evaluation of the gut microbiota is not yet incorporated into routine patient care. One barrier to its implementation is the lack of matrix-appropriate materials for validation of clinical assays. While surrogate fecal matrices are being developed for metagenomic sequencing, matrices specific for targeted metabolomics are currently unavailable. In this study, we designed a contrived fecal matrix to validate a new LC-MS/MS method for measurement of microbiota-derived metabolites from stool specimens. Methods Common food products and mucin were individually analyzed by LC-MS/MS for quantities of three microbiota-derived metabolites - butyrate, deoxycholic acid (DCA) and taurocholic acid (TCA). Food items with the lowest endogenous metabolite concentrations were selected to create a contrived fecal matrix with a consistency similar to human stool specimens. Calibrators and quality controls (QC) were then created by spiking butyrate, DCA, and TCA into either the contrived fecal matrix or 50% methanol (MeOH). The internal standards (ISTD) used were d7-butyrate, d4-DCA, and d4-TCA, respectively. Three human stool specimens were selected and spiked at a range of metabolite concentrations to assess matrix effects. All samples, calibrators and controls were homogenized in 80% MeOH extraction solvent containing the ISTDs using beadruptor tubes. The suspension was centrifuged and 25 µL of supernatant was derivatized using 12.5 µL 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide and 12.5 µL 3-nitrophenylhydrazine at 40°C for 30 minutes. For optimal separation of isomers, 2 µL of sample was injected and separated on a CORTECS T3 column (1.6 µm, 2.1 x 100 mm, Waters) at 45°C with a flow rate of 0.350 mL/min and run-time of 20 min using the Exion LC AD (Sciex). Analytes were detected using a Sciex QTRAP 6500 mass spectrometer with an electrospray ionization source. Results A contrived fecal matrix containing a mix of avocado, black beans, gluten-free flour, and cornstarch blended in water and mucin was created. The contrived matrix was confirmed to contain minimal to no endogenous levels of the 3 metabolites of interest: butyrate, DCA, and TCA. Validation of the LC-MS/MS assay using the contrived fecal matrix showed a linear analytical measurement range from 25-2000 µM for butyrate, 1-60 µM for DCA, and 0.5-640 µM for TCA. Intra-assay precision at 7 QC levels for all analytes was &amp;lt;10%. The matrix effects from use of the contrived fecal matrix compared to patient fecal samples were 140-148% for d7-butyrate and 101-112% for d4-DCA across multiple spiked analyte concentrations. Conclusions Our LC-MS/MS method quantifies butyrate, deoxycholic acid, and taurocholic acid, metabolites which serve as indicators of microbiota health in liver disease patients. The contrived fecal matrix provides an additional tool for the development and validation of clinical assays to assess the gut microbiota.

To Be in Pain: Pain Multidimensional Questionnaire as Reliable Tool to Evaluate Multifaceted Aspects of Pain

Background/Objectives: Pain is a multidimensional experience influenced by sensory, emotional, and cognitive factors. Traditional pain assessments often fail to capture this complexity. This study aimed to develop and validate the Pain Multidimensional Questionnaire (Pa-M-QU), a new self-report tool designed to assess pain catastrophizing, sensitivity, and coping strategies. Methods: Two independent samples of Italian-speaking participants, aged 18 and above, were recruited online. The first sample (n = 392; mean age = 29.36) was used for exploratory factor analysis (EFA), and the second sample (n = 123; mean age = 28.0) for confirmatory factor analysis (CFA). Pearson’s correlations and convergent validity analyses were conducted. Results: From an initial pool of 59 items identified through focus group discussions, 35 items were removed based on reliability analysis. The final 24-item Pa-M-QU features a three-factor structure: catastrophizing, pain sensitivity, and coping with pain. Conclusions: The Pa-M-QU offers a rapid, non-invasive assessment that captures the multidimensional nature of pain. It is a starting point to develop tools for both clinical and research settings, aiding in evaluating pain in healthy individuals and predicting acute and chronic pain disorders. Future research should focus on refining the Pa-M-QU for broader clinical applications and exploring its potential to complement or replace traditional pain assessments, thereby advancing pain management and research.

A-046 Quantification of Corticosteroids and Androgens in Serum, utilizing Waters MassTrak™ Steroid Serum Sets 2 &amp; Sets 3 for Clinical Research

Abstract Background Steroid hormones encompass a large class of small molecules that play a central role in metabolic processes, such as the regulation of sexual characteristics, blood pressure, and inflammation. Enzymes that form part of the steroid biosynthetic pathway are pivotal in these metabolic processes, and their dysfunction can be examined through the correct measurement of steroid hormones in a clinical research setting. The availability of lyophilized calibrators and QCs reduces sample preparation time, aids in method harmonization, and assists with metrological traceability in accordance with ISO15189:2022, when used alongside an analytically selective chromatographic method. Methods A quantitative clinical research method utilizing Waters MassTrak Steroid Serum Sets 2 and 3, Cals &amp; QCs and Waters Oasis™ PRiME HLB µElution plate technology for the extraction of testosterone, androstenedione, 17-hydroxyprogesterone (17- OHP), dehydroepiandrosterone sulfate (DHEAS), Cortisol, 11-deoxycortisol and 21-deoxycortisol from human serum samples. Chromatographic separation was performed on an Waters ACQUITY™ UPLC™ I Class Plus (FL-I) System, using an ACQUITY UPLC HSS T3 Column, accompanied by a Xevo™ TQ-S micro Mass Spectrometer. Results Accuracy (±6%) and precision (±10%) have been confirmed through comparison to External Quality Assurance (EQA) LC-MS/MS schemes, panels and QC material for all seven steroid hormones. All analytes were assessed at the low, medium and high concentrations for each MassTrak Steroid Serum Set, which yielded excellent results across the range (±10%). Deming and Linear regression analysis were performed. No statistically significant bias was observed for each compound, with a mean method bias of ±1.3% for Set 2 and ±1.0% for Set 3. The clinical research method was shown to be linear for all analytes over the calibration ranges specified, furthermore, calibration lines created using Set 2 and Set 3 were analysed over a five-day period and were linear with a co-efficient of determination of (r2) &amp;gt; 0.999 for all analytes. Analytical sensitivity using Signal:Noise (S/N) of the low calibrator (Calibrator 1) of each set, was &amp;gt;10:1 for each analyte across several analytical runs. Conclusions This evaluation has demonstrated that the MassTrak Steroid Serum Calibrator and Quality Control Sets 2 and 3 can provide precise and accurate quantification of steroid hormones in serum. An analytically sensitive and selective clinical research method has been developed for the analysis of testosterone, androstenedione, 17- OHP, DHEAS, cortisol, 11-deoxycortisol and 21-deoxycortisol in serum using Waters I-Class Xevo TQ-S micro system. For Research Use Only. Not for Use in Diagnostic Procedures.

Associations of 2 Established Methods of Measuring Gait Speed and Sit-To-Stand Performance With Frailty and Life-Space Mobility in Community-Dwelling Older Adults

ObjectivesThe 4-m gait speed (4mGS) and 10-m gait speed (10mGS) tests and the 30-second sit-to-stand (30sSTS) and 5-times sit-to-stand (5xSTS) tests are commonly used and advocated in consensus recommendations. We compared these tests on their predictive and clinical value concerning the risk of prefrailty/frailty and restricted life-space mobility (RLSM). DesignCross-sectional study. Setting and ParticipantsA sample of 1235 community-dwelling adults (mean ± SD, 68 ± 7 years) participated in this prospective cohort study. MethodsAt baseline assessment, participants completed a survey and functional assessment, from which gait speed, sit-to-stand performance, self-reported mobility limitation, 40-item Frailty Index, and Life Space Assessment were measured. Participants with a 40-item Frailty Index >0.15 and a Life Space Assessment <60 points were classified as having prefrailty/frailty and RLSM, respectively. At 1-year follow-up assessment, prefrailty/frailty and RLSM were evaluated. ResultsCorrelations between gait speed and sit-to-stand measures were high (ρ values >0.80). In multivariable ordinal models, these measures added incremental prognostic value beyond a base model comprising demographics and self-reported mobility limitation variables in predicting baseline and 1-year outcomes. Between 10mGS and 4mGS, models with 10mGS had higher concordance indices (differences, 0.005-0.009), and these differences translated to generally greater net benefit in decision curve analyses. Between 30sSTS and 5xSTS measures, no one measure consistently outperformed the other, with small net benefit differences between measures (<0.2%). Conclusions and ImplicationsIn community-dwelling older adults, gait speed and sit-to-stand measures meaningfully predicted prefrailty/frailty and RLSM. 10mGS provided more robust prognostic information than the 4mGS, whereas 5xSTS and 30sSTS measures showed near equivalence of performance. These findings could guide the choice of functional measures in clinical and research settings.

CANVAR: A Tool for Clinical Annotation of Variants Using ClinVar Databases.

Genomic medicine has transformed clinical genetics by utilizing high-throughput sequencing technologies to analyze genetic variants associated with diseases. Accurate variant classification is crucial for diagnosis and treatment decisions, and various tools and software such as the Ion Reporter Software and the Illumina Nirvana Software often used in a clinical setting utilize information from the ClinVar database/archive to aid in variant interpretation. However, these existing annotation tools may lack access to the latest ClinVar data, necessitating manual variant inspection. To address this gap in developing a tool providing the latest ClinVar data for variant annotation in clinical and research settings. We introduce CANVAR, a Python-based script that efficiently annotates variants identified from next-generation sequencing in a clinical or research context, offering comprehensive information from the latest ClinVar database. CANVAR provides accurate, up-to-date variant annotations, streamlining variant analysis. The rise in genomic data requires accurate variant annotation for clinical decision-making. Misclassification poses risks, and current tools may not always access the latest data, challenging variant interpretation. CANVAR contributes to enhancing variant annotation by offering comprehensive information from the latest ClinVar database for genetic variants identified through next-generation sequencing.

Where do neurodevelopmental conditions fit in transdiagnostic psychiatric frameworks? Incorporating a new neurodevelopmental spectrum.

Features of autism spectrum disorder, attention-deficit/hyperactivity disorder, learning disorders, intellectual disabilities, and communication and motor disorders usually emerge early in life and are associated with atypical neurodevelopment. These "neurodevelopmental conditions" are grouped together in the DSM-5 and ICD-11 to reflect their shared characteristics. Yet, reliance on categorical diagnoses poses significant challenges in both research and clinical settings (e.g., high co-occurrence, arbitrary diagnostic boundaries, high within-disorder heterogeneity). Taking a transdiagnostic dimensional approach provides a useful alternative for addressing these limitations, accounting for shared underpinnings across neurodevelopmental conditions, and characterizing their common co-occurrence and developmental continuity with other psychiatric conditions. Neurodevelopmental features have not been adequately considered in transdiagnostic psychiatric frameworks, although this would have fundamental implications for research and clinical practices. Growing evidence from studies on the structure of neurodevelopmental and other psychiatric conditions indicates that features of neurodevelopmental conditions cluster together, delineating a "neurodevelopmental spectrum" ranging from normative to impairing profiles. Studies on shared genetic underpinnings, overlapping cognitive and neural profiles, and similar developmental course and efficacy of support/treatment strategies indicate the validity of this neurodevelopmental spectrum. Further, characterizing this spectrum alongside other psychiatric dimensions has clinical utility, as it provides a fuller view of an individual's needs and strengths, and greater prognostic utility than diagnostic categories. Based on this compelling body of evidence, we argue that incorporating a new neurodevelopmental spectrum into transdiagnostic frameworks has considerable potential for transforming our understanding, classification, assessment, and clinical practices around neurodevelopmental and other psychiatric conditions.

Impairment Assessment in Adult ADHD and Related Disorders: Current Opinions From Clinic and Research

Objectives: Assessing functional impairment is one of the essential components in the clinical evaluation of ADHD in adulthood, serving both diagnostic and outcome evaluation purposes. However, clinicians and researchers may face challenges in selecting suitable instruments due to variations in accessibility and quality of instruments. Methods: We conducted an online survey involving an international group of 92 respondents engaged in clinical practice and/or research on ADHD. The survey aimed to evaluate current practices in assessing impairment in adult ADHD and related disorders, while also identifying areas requiring adaptation or potential new developments. Results: Our findings revealed that clinicians and researchers utilize a diverse range of instruments for assessing impairment in adults with ADHD, including some that may lack adequate properties for this purpose. Notably, dissatisfaction with current practice standards was expressed, underscoring the need for novel assessment approaches and improved psychometric properties. Conclusion: It is evident that research endeavors are warranted to either refine existing measures or devise new ones for assessing functional impairment in adult ADHD. Emphasis should be placed on disseminating instruments that enhance accessibility in both research and clinical settings, and facilitate streamlined administration and interpretation.

Analisis Historis, Metode Dan Karakteristik Pendidikan Tasawuf Di Ma’had Aly IqnᾹ’ Ath-ThᾹlῙbin Pondok Pesantren Al-Anwar, Sarang, Rembang

This research aims to examine: (1) the history of the establishment of Ma'had Aly Iqnā' Ath-Thālibīn Pondok Pesantren Al-Anwar, Sarang, Rembang (2) Taṣawuf education at Ma'had Aly Iqnā' Ath-Thālibīn Pondok Pesantren Al-Anwar, Sarang, Rembang (3) the characteristics of Taṣawuf education at Ma'had Aly Iqnā' Ath-Thālibīn Pondok Pesantren Al-Anwar, Sarang, Rembang. The research approach used in this study is descriptive qualitative. The research setting was conducted at Ma'had Aly Iqnā' Ath-Thālibīn Pondok Pesantren Al-Anwar, Sarang, Rembang. The data collection method uses documentation, interview, and observation methods. For data validity techniques used are source triangulation techniques. While the data analysis technique that researchers obtained, using data collection, data reduction, and data verification. The results of the study conclude The learning method follows the tradition of the salaf pesantren and emphasizes social practice. Its characteristics include the use of the book by Masyayikh PP. Al-Anwar, sanadan kitab, syarh kitab as a final assignment, and the application of Sufism in social life.

EEG electrodes and where to find them: automated localization from 3D scans

Objective.The accurate localization of electroencephalography (EEG) electrode positions is crucial for accurate source localization. Recent advancements have proposed alternatives to labor-intensive, manual methods for spatial localization of the electrodes, employing technologies such as 3D scanning and laser scanning. These novel approaches often integrate magnetic resonance imaging (MRI) as part of the pipeline in localizing the electrodes. The limited global availability of MRI data restricts its use as a standard modality in several clinical scenarios. This limitation restricts the use of these advanced methods.Approach.In this paper, we present a novel, versatile approach that utilizes 3D scans to localize EEG electrode positions with high accuracy. Importantly, while our method can be integrated with MRI data if available, it is specifically designed to be highly effective even in the absence of MRI, thus expanding the potential for advanced EEG analysis in various resource-limited settings. Our solution implements a two-tiered approach involving landmark/fiducials localization and electrode localization, creating an end-to-end framework.Main results.The efficacy and robustness of our approach have been validated on an extensive dataset containing over 400 3D scans from 278 subjects. The framework identifies pre-auricular points and achieves correct electrode positioning accuracy in the range of 85.7% to 91.0%. Additionally, our framework includes a validation tool that permits manual adjustments and visual validation if required.Significance.This study represents, to the best of the authors' knowledge, the first validation of such a method on a substantial dataset, thus ensuring the robustness and generalizability of our innovative approach. Our findings focus on developing a solution that facilitates source localization, without the need for MRI, contributing to the critical discussion on balancing cost effectiveness with methodological accuracy to promote wider adoption in both research and clinical settings.