External Measurements Research Articles

Telemedical Franconian Obesity Aftercare Therapy (Tele-FANT) Results of a Formative Evaluation

Following rehabilitation, patients are often unable to continue with the behavioral changes they had learned there in the long term. It is therefore important to offer aftercare services to improve self-management. Internet-based and telephone aftercare concepts in particular are low-cost and flexible in application, and offer an opportunity to significantly increase the use of aftercare measures. In, the"Tele-FANT" project, obese patients were supported by an aftercare therapist over a period of 12 months following their inpatient rehabilitation stay by regular telephone or video consultations. A one-group pre-post design was used for the formative evaluation. Participants took part in a written survey at the start of rehabilitation, at the end of rehabilitation and 4, 8 and 12 months after rehabilitation. As a key variable, body weight (external measurement by the family doctor) was also recorded at all measurement times to calculate the percentage weight loss from the start of rehabilitation. Descriptive parameters were calculated at the beginning, as well as mean differences and standardized effect sizes (SES) at the post-measurement time points. A total of 47 obese rehabilitation patients (mean BMI=44.56, SD=7.23) from the Frankenlandklinik Bad Windsheim were recruited to participate in the aftercare program. The complete program up to the 12-month follow-up was completed by 30 participants (drop-out: 36.2%). The remaining participants showed a high level of acceptance for both the structural processes and the content of the aftercare program. A weight loss of at least 10% was achieved by 13 participants (50%) at the 12-month follow-up, a further 4 participants (15.4%) had lost 5 to 10%. The participants were able to reduce their BMI by an average of 4.45 BMI points from 43.69 (SD=7.25) to 39.24 (SD=7.25) since the start of rehabilitation (mean effect size: SES=0.61). In the formative evaluation, the "Tele-FANT" aftercare program shows good feasibility and promising results with regard to the goal of weight reduction/stabilization. However, the high drop-out rate indicates that some of the participants were not satisfied with the program or were unable to achieve the desired outcome. The next step would be to test the effectiveness of the "Tele-FANT" aftercare concept in a randomized control group study.

Role of common variants and new genes associated with arrhythmogenic cardiomyopathy

Abstract Introduction Arrhythmogenic Cardiomyopathy (ACM) is an inherited cardiac disease, predominantly affecting males, characterized by fibro-fatty myocardial replacement mainly in the right ventricle. It leads to 5% sudden cardiac death in affected young adults (<25 yo) without an implantable cardioverter defibrillator. Early diagnosis is crucial for appropriate clinical management to reduce mortality and prevent disease progression. Rare variants in desmosomal genes (PKP2,DSC2,DSG2,DSP and JUP) are found in 50% of cases. However, challenges persist since we observe a low penetrance in relatives (28-58%) and a high variability in expressivity and severity annihilating any preventive strategy. Objective We aim to decipher the genetic architecture of ACM by investigating the role of common variants in disease susceptibility/severity and to idendify new genes associated to ACM. Method A Genome Wide Association Study (GWAS) was performed on 1079 ACM index patients and 7305 controls, followed by conditional analysis. New candidate genes were knocked out (KO) in Zebrafish and/or hiPSC using CRISPR/Cas9. Impedance and external field potential measurements were performed on hiPSC derived cardiomyocytes (CM-hiPSC). Results The GWAS identified 5 significant loci (Figure 1, P<5.10-8), including 2 desmosomal genes (PKP2 a n d DSG2) and 3 new candidates (KLF12, CTNNA3, and ARL17B/WNT3). Conditional analysis revealed 3 additional loci with suggestive p-values (P<1.10-6), highlighting 3 new susceptible loci. Among them, we uncovered key non-coding regulatory regions near desmosomal genes (DSC2 and DSG2). Initial findings in PKP2-KO zebrafish present hearts with structural defects, while CM-hiPS KLF12-KO(-/-) exhibited altered interbeat interval and relaxation time compared to isogenic controls. Conclusion Our findings reveal ACM's complex genetic architecture, implicating common variants in disease susceptibility. A polygenic risk score will be implemented to improve patient risk stratification. Three novel loci/genes for ACM as well as specific regulatory regions of desmosomal genes have been highlighted. Their functional studies in isogenic hiPSC and Zebrafish models will offer new insights in ACM underlying molecular mechanism and potential therapeutic targets.

The psychometric properties of Chinese version of the Gilles de la Tourette syndrome-quality of life scale (GTS-QOL) for children and adolescents

BackgroundGilles de la Tourette syndrome (GTS) is a persistent neurological disorder that profoundly affects the quality of life for afflicted individuals, however, tailored health-related quality of life (QOL) measures for Chinese pediatric GTS patients are lacking. This pioneering study aims to develop a QOL scale for Chinese children with GTS.MethodsA cohort of 1,121 children (aged 6–16 years) diagnosed with GTS participated in scale development. Internal consistency was evaluated using Cronbach’s alpha. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to assess the factor structure of the GTS-QOL-Chinese, examining goodness-of-fit indices, factor loadings of individual items, and covariances between factors. Validity was determined through interscale correlations and comparisons with external measures to establish convergent and discriminant validity.ResultsFollowing reliability and validity analyses, a Chinese version of the 24-item GTS-specific quality of life scale was conclusively established, encompassing five subscales (psychological, compulsive, cognitive, physical, social). The scale demonstrated high internal consistency with a Cronbach’s alpha coefficient of 0.93, and validity was substantiated through interscale correlations ranging from 0.46 to 0.68. EFA identified five factors, explaining 61.26% of the total variation. CFA further confirmed the scale’s robustness, with all goodness-of-fit indicators meeting acceptable criteria (AGFI = 0.86, PCFI = 0.78, GFI = 0.89, CFI = 0.89, RMSEA = 0.07, SRMR = 0.06).ConclusionsThe Chinese version of the GTS-QOL scale has exhibits robust reliability and validity and is valuable for assessing the quality of life of Chinese children and adolescents with GTS. This scale may assist in tailoring interventions and improving patient care.

Assessment of imposter syndrome among postgraduate residents using Clance imposter phenomenon scale: a multicentric, cross-sectional study.

Imposter syndrome develops when high-achieving individuals, despite external measurements of achievement, have a chronic sense of self-doubt paired with a fear of being exposed as a hoax. This endangers one's mental health and well-being. The objective of the study was to determine the prevalence and severity of imposter syndrome among postgraduate residents and to identify the risk factors associated with imposter syndrome. This is a cross-sectional study conducted among the postgraduate trainees working in four different training hospitals in Pakistan. Imposter syndrome was assessed using the Clance Imposter Phenomenon Scale. A total of 146 postgraduate residents participated in this study. The majority had significant imposter syndrome, with females more suffered than males. Trainees of the pediatrics department were affected the most while of the dentistry were least to be affected. Multiple factors including marital status, number of children, working hours, extracurricular activities, and private practice have been shown to affect the prevalence of imposter syndrome. Imposter syndrome is a prevalent phenomenon among the residents of Pakistan. Efforts to identify and establish a proper relationship between general demographics and imposter syndrome are required for the healthy work experience of the trainees.

Senswing: A Force Sensing Wing for Intelligent Flapping-Wing Aerial Vehicles—Wing Design and Comprehensive Evaluation of Force Sensing Capabilities

This paper proposes a force-sensing wing, Senswing, to enhance the intelligence of flapping-wing aerial vehicles (FWAVs). Force perception is a crucial capability for robots to interact safely and effectively in unknown environments. However, FWAVs perform flapping motions with significant acceleration and deceleration, which can cause the flexure element inside force sensors to deteriorate due to repeated loading or even fail due to impulsive forces. To address this, we constructed a force measurement system by attaching 16 strain gauges directly to the wing root while maintaining high rigidity. We confirmed that the external force measurement capability closely matched the values obtained by a six-axis force sensor, with almost no error. Additionally, when measuring aerodynamic forces during wing flapping, the sensor could detect differences in wind speed even during flapping. With this sensor, FWAVs can achieve in-flight measurement of thrust and lift through a force-sensing system.

Evidence Review for the American College of Surgeons Quality Verification Part III: Standardization, Protocols, and Achieving Better Outcomes for Patient Care.

After decades of experience supporting surgical quality and safety by the American College of Surgeons, the ACS Quality Verification Program (ACS QVP) was developed to help hospitals improve surgical quality and safety. This review is the final installment of a three-part review aimed to synthesize evidence supporting the main principles of the ACS QVP. Evidence was systematically reviewed for three principles: standardized team-based care across five phases of surgical care, disease-based management, and external regulatory review. MEDLINE was searched for articles published from inception to January 2019 and two reviewers independently screened studies for inclusion in a hierarchical fashion, extracted data, and summarized results in a narrative fashion. A total of 5,237 studies across these three topics were identified. Studies were included if they evaluated the relationship between the standard of interest and patient-level or organization measures within the last twenty years. After applying inclusion criteria, a total of 150 studies in systematic reviews and primary studies were included for assessment. Despite institutional variation in standardized clinical pathways, evidence demonstrated improved outcomes such as reduced length of stay (LOS), costs, and complications. Evidence for multidisciplinary disease-based care protocols was mixed, though trended towards improving patient outcomes such as reduced LOS and readmissions. Similarly, the evidence for accreditation and adherence to external process measures was also mixed, though several studies demonstrated the benefit of accreditation programs on patient outcomes. The identified literature supports the importance of standardized multidisciplinary and disease-based processes and external regulatory systems to improve quality of care.

The Veg∗n Eating Motives Inventory Plus (VEMI+): A measure of health, environment, animal rights, disgust, social, pandemic and zoonotic diseases, and farm workers’ rights motives

Health, environmental concern, and animal rights are established motives for reduced meat consumption that can be measured by the Vegetarian Eating Motives Inventory (VEMI). This preregistered study aimed to expand the VEMI to include four less-studied motives: disgust, social, concern about zoonotic diseases and pandemics, and concern for workers' rights. We had three objectives: to combine the seven motives into a comprehensive model, to test if the VEMI+ scales function equivalently across omnivore and vegan groups, and to validate and differentiate these motives against external measures and meat reduction appeals. In samples of 731 omnivores and 731 vegans (total N = 1,462), we found support for the measurement invariance of a seven-factor structure across groups and created a scale with reliable measures for each dimension (ω total between 0.82 and 0.97). Vegans scored higher overall, with substantially higher scores on environmental concern, animal rights, disgust, and zoonotic disease concerns, while omnivores had slightly higher scores on health, social, and workers’ rights scales. Scale scores had expected correlations with criterion measures and differentially predicted support for motive-tailored appeals. This study enhances our understanding of dietary motivations and provides a valuable tool for future research.

Rethinking cutoff values for the South OaksGambling Screen: Sex-specific insights andDSM-5 severity adjustments in Gambling Disorder assessment.

The South Oaks Gambling Screen (SOGS) is a commonly used tool for screening potential gambling problems. The SOGS score has been found to be correlated with the DSM-5 criteria for Gambling Disorder (GD). However, one of its main limitations is the high rate of false positives. Theobjective of this study was to establish more accurate cutoff points for the SOGS based on the DSM-5 criteria and severity levels, taking into account sex-specific samples. Additionally, we aimed to validate these cutoff points using external measures. The study sample comprised 4.516 patients (398women and 4,118 men) who sought treatment for GD. Of these patients, 4.203 met the DSM-5 criteria for GD, while 313 did not meet the threshold for GD diagnosis. The recommended cutoff value for the SOGS is eight for men (Sensitivity (Se): 82.9%, Specificity (Sp): 86.2%) and seven for women (Se: 85.6%, Sp: 77.4%). For moderate severity of GD, the cutoff points are nine for men (Se: 82.1%, Sp: 82.0%) and eight for women (Se: 86.3%, Sp: 73.3%), while for severe cases of GD, the cutoff point is ten for both sexes (Se: 83.0%, Sp: 56.7% for men; Se: 80.0%, Sp: 77.4% for women). These cutoff values are validated by evidence of worse psychopathological states, more dysfunctional personality traits, and risky behaviours commonly associated with GD. These findings support adjusting the reference values for the SOGS to eight in males and seven in females to enhance the classification of individuals potentially experiencing GD. The use of higher cutoff values has significant implications for clinical and research purposes, enabling a more precise assessment of the diagnosis and severity of GD.

A-193 Optimizing Emergency Laboratory Operations Through Six-Sigma Strategies for Enhanced Efficiency and Effectiveness: A Pilot Study

Abstract Background Quality assurance is vital in laboratory diagnostics to ensure patient safety and accurate results. Laboratories employ internal and external quality control measures, particularly focusing on the analytical phase. Sigma metrics, representing process variation, play a crucial role in assessing accuracy, with Six Sigma setting high standards for operational excellence. This study aims to enhance laboratory testing procedures by analyzing the analytical phase. In 2022, the Emergency laboratory at KFAFH, Jeddah, achieved optimal sigma performance, marking a significant improvement in analytical testing. http://www.westgard.com/sigma-vp-kfafh.htm. In 2023, The study also demonstrated a 30% productivity increase, driven by sustained efforts and Sigma metrics implementation, leading to cost reductions and improved quality. Real-time patient moving averages enhance quality assurance, extending coverage to the total testing process. The primary objectives include redesigning IQC procedures and optimizing resource utilization. This will be accomplished by reducing the frequency of controls, minimizing unnecessary reruns, optimizing resource allocation, and managing total costs, all while ensuring compliance and averting violations. Methods A retrospective-prospective study was conducted at the Emergency Laboratory of King Fahad Armed Forces Hospital in Jeddah, Saudi Arabia, from May 2021 to October 2023. The study assessed 841,558 tests for 131,785 emergency patients. Forty-seven analytes were evaluated for Internal Quality Control and External Quality Control (CAP), with monthly data collection. Chemistry and Hematology parameters were analyzed using Unity Real-Time software on Alinity-ci and Alinity-hq analyzers. Data was collected in three stages: baseline, pre-Sigma verification, post-Sigma implementation, and a sustainability phase. The methodology involved DMAIC model tools like flowcharts, cause & effect analysis, and sigma metric scales. Six Sigma process tools, including DPM and process capability analysis, were used. Interventions included Six Sigma metrics for QC performance, DPM for TAT process improvement, and patient moving average Real-time for proactive risk management in reducing analytical testing variation. Results Excellent performance (> 6 sigma) was achieved for 70% of chemistry test parameters for three control levels.: This indicates a high level of process capability and reliability in laboratory operations, ensuring accuracy and consistency in test results. The study successfully reduced process variation in Emergency Room (ER) laboratory Turnaround times (TATs), leading to an increase in process capability as measured on the Sigma scale, which improved from 1.35 to 3.1, indicating a more robust and efficient laboratory operation. Reducing the cost and efficiency of internal failure controls by 29% and at the same time saving in labor cost/workload marked a decrease in QC frequency from 7.0% to 0.18%, reaching the target goal of TATs and satisfaction. Conclusions The adoption of Six Sigma methodologies resulted in a notable decrease in QC runs, signaling cost savings. These high-quality methods streamline laboratory operations, improve cost-effectiveness for the healthcare system, and ultimately benefit patients and clinicians. Six Sigma methodologies play a crucial role in selecting appropriate QC designs for each parameter, ensuring efficient control while maximizing cost-effectiveness. Emphasizing the importance of suitable QC strategies and continuous technologist training is vital for mitigating analytical errors and enhancing turnaround time through comprehensive automation of the analytical phase.

Precise Localization of the Central Left Frontal Cortex in Different Canine Skull Types: A Comparative Study of Frameless Neuronavigation and External Measurement Techniques

Repetitive Transcranial Magnetic Stimulation (rTMS), a non-invasive brain modulation technique, has been explored as an additional treatment option for behaviorally disordered dogs. For optimal effectiveness of the rTMS treatment, accurate coil positioning to the stimulation target is pivotal. Frameless stereotactic neuronavigation for the localization of intracranial regions has been established as a reliable targeting method. However, given the varying skull shape and brain structures among dog breeds, divided into mesocephalic, brachycephalic, and dolichocephalic breeds, localizing the rTMS target area, the central left frontal cortex, can be challenging. Previous neuronavigation studies have only investigated its use in mesocephalic breeds of dogs. Because this neuronavigation is based on expensive high-tesla magnetic resonance imaging data, and anesthesia needed for immobilization, a cheaper and reliable localization alternative to broaden the rTMS use in the veterinary field is needed.The objective of this study was twofold. First, the study aimed to evaluate external localization of the central left frontal cortex within the three skull types (retrospective study 1). Then, this external localization method was compared to the conventional frameless neuronavigation technique to check the consistency, focusing on mesocephalic and dolichocephalic breeds (prospective study 2). Thirty-two brachycephalic, thirty-seven mesocephalic and thirty dolichocephalic dogs were included to evaluate the external localization of the central left frontal cortex by external measurement (retrospective study 1, data obtained from previously performed MRI scans). For the second objective, thirty-eight dogs (35 mesocephalic breeds and 3 dolichocephalic breeds) were recruited to compare the external measurement localization method and the localization by neuronavigation (prospective study 2, data extracted from study 1 and former rTMS studies). The first part of this study showed the central left frontal cortex was externally located approximately two-thirds of the total skull length (sagittal length) in meso- and dolichocephalic dogs, at the center of the skull length in brachycephalic dogs, and 0.65 to 0.70 cm to the left of the cerebral midline for all skull types (retrospective study 1). Using intraclass correlation coefficient (ICC) analysis, the second part of the study showed high consistency between these two methods, for the length of the skull (0.94), the relative position of the left frontal cortex (0.84), and the distance to the cerebral midline (0.69) in mesocephalic and dolichocephalic breeds (prospective study 2). Our findings suggest that the conventional frameless neuronavigation could be replaced by the external localization method in the mesocephalic and dolichocephalic dog breeds, and therefore ultimately reduce anesthesia time and financial burden when applying non-invasive brain modulation techniques like rTMS. More research needs to be conducted for brachycephalic dogs to validate this method in this specific population of dogs.

Development of a model of the process of development of manufacturing defects in automation means

In automated process control systems, automation equipment (sensors, converters, amplifiers, etc.) with technical defects arising during their manufacture, which are one of the main causes of failures, is widely used. The paper establishes the possibility of using the laws of nonequilibrium thermodynamics as the basis for determining the relationship between the controlled parameters of automation equipment and the parameters of the displayed medium, which made it possible to build a deterministic model of the development of production defects and, ultimately, determine the directions for changing and adjusting the technological processes of production of automation equipment. A method has been developed for implementing a guaranteed forecast of changes in the parameters of automation equipment based on solving the evolution equation using optimal filtering algorithms, which is the subject of research. The purpose of the work is to improve the quality and reliability of automation equipment by improving the monitoring of defects arising in the production of instruments, functional units and sensors of automation equipment. The article solves the following problems: analysis of existing approaches to the problem of manufacturing defects and methods for their detection and setting a research task; modeling of the process of development of production defects causing changes in the technical condition of automation equipment; development of a decision-making method based on guaranteed prediction of the technical state of automation equipment. The methodology of work is based on the methods of thermodynamic description of the kinetics of processes (when developing a model of the process of development of production defects that cause a change in technical condition) and methods of assessment and forecasting based on optimal filtering algorithms (when developing a decision-making method based on guaranteed foresight of technical condition). The results of the work include a model of the process of development of manufacturing defects that cause a change in the technical condition of automation equipment, and a decision-making method based on a guaranteed forecast of the technical condition of automation equipment. Conclusions. The paper establishes the possibility of using the laws of nonequilibrium thermodynamics to determine the relationship between the controlled parameters of automation equipment and the displayed medium, and to build a deterministic thermodynamic model of the development of production defects. Disclosed is an equation of evolution of technical state of automation equipment based on a deterministic kinetic model of processes occurring in a multicomponent medium, and an observation model which takes into account errors caused by instability of external effects and measurement errors. Disclosed is a method of implementing a guaranteed forecast of change in parameters of automation equipment based on solving the evolution equation using optimal filtering algorithms, which are used to solve estimation and prediction problems.

Interval observers for hybrid continuous-time stationary systems

The problem of interval observer design for hybrid continuous-time stationary systems under external disturbances and measurement noise is studied. It is assumed that continuous-time dynamic of such systems is described by linear or nonlinear differential state equations with linear function of output. System parameters depend on system states and are switched based on the control system with finite set of states. The relations allowing designing hybrid interval observer of minimal dimension estimating the set of admissible values of the prescribed linear vector function of the system states are derived. To solve the problem, algebra of partitions and linear algebra are used. Theoretical results are illustrated by example.

Performance characterization of a wireless sensors network system (WSNS) for measurements of hurricane wind effects on structures

This paper presents a new wireless sensors network system (WSNS) designed for high-resolution absolute pressure measurements, wind speed, and direction. The system is tailored to assess the impact of hurricane winds on residential structures, both in laboratory settings and field environments. Importantly WSNS stands out for its unique ability to provide waterproof, surface-mounted external pressure measurements. The system's performance is evaluated during deployment on a full-scale house model at the Wall of Wind facility. The WSNS sensors were installed on different surfaces of a single-story residential building model. The sensor locations mirrored the locations of surface pressure taps connected to a Scanivalve differential pressure measurement system. Due to the size and shape of the WSNS pressure module, a casing effect was observed, which may result in pressure offsets under certain wind speeds and directions, depending on the sensor's location and the conditions, including dry and light rain (50 mm per hour). The comparison between WSNS and Scanivalve indicates that the sensor's casing geometry does not cause significant differences in the time-averaged measurements for low-turbulence regions. Conversely, this is not true for high-turbulence regions, which should be marked for future deployments using smaller surface-mounted pressure taps.

Calibration Methods for Large-Scale and High-Precision Globalization of Local Point Cloud Data Based on iGPS.

The point cloud is one of the measurement results of local measurement and is widely used because of its high measurement accuracy, high data density, and low environmental impact. However, since point cloud data from a single measurement are generally small in spatial extent, it is necessary to accurately globalize the local point cloud to measure large components. In this paper, the method of using an iGPS (indoor Global Positioning System) as an external measurement device to realize high-accuracy globalization of local point cloud data is proposed. Two calibration models are also discussed for different application scenarios. Verification experiments prove that the average calibration errors of these two calibration models are 0.12 mm and 0.17 mm, respectively. The proposed method can maintain calibration precision in a large spatial range (about 10 m × 10 m × 5 m), which is of high value for engineering applications.

Correlation of HbA1c levels with CT-based body composition biomarkers in diabetes mellitus and metabolic syndrome

Diabetes mellitus and metabolic syndrome are closely linked with visceral body composition, but clinical assessment is limited to external measurements and laboratory values including hemoglobin A1c (HbA1c). Modern deep learning and AI algorithms allow automated extraction of biomarkers for organ size, density, and body composition from routine computed tomography (CT) exams. Comparing visceral CT biomarkers across groups with differing glycemic control revealed significant, progressive CT biomarker changes with increasing HbA1c. For example, in the unenhanced female cohort, mean changes between normal and poorly-controlled diabetes showed: 53% increase in visceral adipose tissue area, 22% increase in kidney volume, 24% increase in liver volume, 6% decrease in liver density (hepatic steatosis), 16% increase in skeletal muscle area, and 21% decrease in skeletal muscle density (myosteatosis) (all p < 0.001). The multisystem changes of metabolic syndrome can be objectively and retrospectively measured using automated CT biomarkers, with implications for diabetes, metabolic syndrome, and GLP-1 agonists.

Sound Measurements in Pulsatile Tinnitus: A Review in 171 Patients.

To evaluate the diagnostic application of external ear canal sound measurements in pulsatile tinnitus (PT). Retrospective chart review on a prospective series of sound measurements. Tertiary referral center. A cohort of 171 PT patients with sound measurements during diagnostic workup for PT (2016-2023). The percentages of PT patients per pathology and diagnosis, with PT objectified by sound measurements. In 57% of the patients, an identifiable etiology that could explain the PT was identified using various imaging modalities. The PT could be detected with a sound measurement in the ear canal in 48% of these patients. In absence of an identifiable etiology, an objective PT was found in only 15% of the cases. PT was more often detected for patients with arterial pathologies than venous or nonvascular pathologies (73% vs 50% and 22%, respectively). Particularly, in PT patients with a DAVF, an objective PT was found for all patients (100%). The sound measurements were found to be more sensitive than auscultation in detecting bruits in PT patients. A sound recording can objectify PT in almost half of the cases with a diagnosis as determined by imaging. In patients where the PT cannot be detected, arterial pathologies (particularly DAVFs) are less likely. Combined with a thorough clinical evaluation and proper imaging studies, sound measurements can be of added value in the clinical pathway of PT patients.

A Facile Low Prevacuum Treatment to Enhance the Durability of Nonfullerene Organic Solar Cells

Herein, a straightforward vacuum‐assisted method is introduced to enhance the stability of nonfullerene organic solar cells (OSCs). The method, termed “prevacuum” involves subjecting the active layer (D18:Y6) to a low‐pressure vacuum (−1 bar) before thermal annealing at 100 °C. Compared to untreated devices, prevacuum‐treated OSCs exhibit a notable increase in power conversion efficiency from 13.71% to 14.90%. This enhancement is attributed to improved light absorption and charge extraction, as evidenced by external quantum efficiency measurements. Moreover, prevacuum treatment significantly improves device stability under operational conditions, with a 30% power loss occurring after 8.25 h compared to 4.5 h for untreated devices. This improvement is attributed to the removal of volatile components and impurities during the vacuum process, leading to a more hydrophobic and stable active layer. The study demonstrates the efficacy of prevacuum treatment as a simple and accessible method for enhancing the performance and longevity of OSCs, paving the way for their broader application in sustainable energy technologies.

B - 42 Evaluating the MMPI-3 Somatic/Cognitive Scales in Service Members and Veterans with Mild Traumatic Brain Injury (mTBI)

Abstract Objective Research on the Minnesota Multiphasic Personality Inventory, 3 (MMPI-3) Somatic/Cognitive scales is limited, but primarily focused on their relationships with symptom and performance validity tests. This study expands prior literature by providing extensive Somatic/Cognitive Scale correlates with symptom validity tests and neurocognitive measures in a sample of active-duty personnel and veterans. Method The study included Active-duty Service Members (n = 22) and Veterans (n = 31). Various measures of cognitive abilities and symptom validity were examined as a function of the Cognitive Complaints (COG) scale. Results Moderate to large differences were observed between COG groups across all MMPI-3 overreporting scales and all somatic/cognitive scales, save the NUC scale (g = 0.66–1.31 [excluding NUC]). Groups differed on three Memory Complaints Inventory memory scales: General (g = 0.89), Visuo-spatial (g = 0.62), and Verbal (g = 0.97). No significant differences were observed across cognitive tests (e.g., WAIS, CVLT). COG was moderately associated with all MMPI-3 overreporting and most somatic/cognitive scales (r = 0.30–0.72). Small to moderate correlations were observed between COG and most external validity and neurocognitive measures (r = 0.05–0.60). Conclusions Results suggest the COG scale primarily captures subjective distress rather than objective neurocognitive performance, consistent with prior work (Gervais et al., 2009). These patterns are especially pronounced in emotional, social, and somatic symptom domains. Additionally, COG scores were associated with MMPI-3 overreporting scores, but COG had weaker associations with external neurocognitive and symptom validity measures. These results suggest that COG has weak convergent validity with other self-report measures of cognition (e.g., Neurobehavioral Symptom Inventory).

B - 66 Cognitive Dispersion Is Uniquely Associated with Executive Functions in HIV Disease

Abstract Objective Among persons living with HIV (PLWH), higher levels of intraindividual variability (IIV) across a battery of neuropsychological measures (i.e., dispersion) increase the risk of dependence in everyday functioning. Higher levels of dispersion are theorized to reflect lapses in executive aspects of attention, but few studies have directly evaluated the construct validity of dispersion. Method 72 PLWH completed the Cogstate battery (www.cogstate.com). Exclusion criteria were inability to provide informed consent, psychosis, active substance use disorders, and major neurological conditions. Dispersion was operationalized as a coefficient of variance (CoV) across age-adjusted scores on six tests from the Cogstate battery (i.e., intra-individual standard deviation divided by the intra-individual mean). The predictor variables were mean-level, demographically-adjusted performance scores from well-validated clinical measures of executive functions (Trailmaking Test B, WCST-64 Perseverative Responses, PASAT-50, and Verbal Fluency), psychomotor speed (WAIS-III Digit Symbol, Trailmaking Test A, Grooved Pegboard), and episodic memory (HVLT-R and BVMT-R Learning and Delayed Recall). Results A multiple regression analysis indicated that the three domain-level cognitive predictors explained 12.1% of the variance in Cogstate CoV (p = 0.03). Within this model, lower levels of executive functions were significantly associated with higher CoV on the Cogstate (p = 0.01), but the psychomotor and memory domains were not (ps &amp;gt; 0.05). Conclusion The findings from this cross-sectional study align with cognitive theory in demonstrating dispersion is uniquely associated with external measures of executive functions (e.g., cognitive flexibility) among PLWH. Future experimental studies are needed to determine the precise executive mechanism of dispersion.

Comprehensive study of photoluminescence and device properties in Cu2Zn(Sn1−xGex)S4 monograins and monograin layer solar cells

Ge-alloying of Cu2ZnSnS4 is a promising strategy for producing wide-bandgap absorber materials suitable for use in tandem structures or indoor solar cell applications. Incorporating Ge can suppress Sn-related defects while maintaining the kesterite structure and p-type conductivity throughout the entire range of composition. In this study, Cu2Zn(Sn1−xGex)S4 monograins were synthesized in molten salt by the synthesis-growth method, where value x was varied from 0 to 1, with a step of 0.2. The inclusion of Ge into the crystals was confirmed by energy-dispersive X-ray spectroscopy, Raman spectroscopy, and X-ray diffraction analysis. The bandgaps of Cu2Zn(Sn1−xGex)S4 solid solutions were determined as Eg = 1.50–2.25 eV by external quantum efficiency measurement. A detailed study of temperature and laser power-dependent photoluminescence (PL) for powder crystals with x = 0, x = 0.2 and x = 0.4 revealed that the dominant recombination mechanisms originate from defect clusters involving a shallow acceptor and deep donor defect. Ge-alloying helped to suppress the harmful SnZn donor defects, but at the same time shifted the defects' energy levels deeper into the bandgap. The obtained activation energies indicate that the acceptor defect becomes shallower with the inclusion of Ge. At the mid-temperature range (T = 60–200 K), the presence of two different recombinations was revealed in the system, originating from very closely located PL emission bands.