Dynamic Assessment Research Articles

Bimekizumab impact on draining tunnels: A dynamic assessment in patients with moderate to severe HS using pooled Week 48 results from BE HEARD I&II

Introduction: Hidradenitis suppurativa (HS) is a recurrent, inflammatory skin disease characterized by painful skin lesions in the folds of the skin and deep, dermal abscesses that join to form chronically draining tunnels (DTs).1,2 Bimekizumab (BKZ) is a humanized IgG1 monoclonal antibody that selectively inhibits IL-17F in addition to IL-17A, both abundant in lesional skin.3,4 Here, we assess the effect of BKZ on DT outcomes over 48 weeks (wks) in BE HEARD I&II.5 Procedure/Study: Pooled data included an initial (Wks0–16) and maintenance (Wks16–48) treatment period. Randomization: 2:2:2:1 (initial/maintenance) to BKZ 320mg every 2 wks (Q2W)/Q2W, BKZ Q2W/Q4W, BKZ Q4W/Q4W or placebo (PBO)/BKZ Q2W. Proportions of patients with ≥1/≥3 DTs at baseline achieving 0, 1–2, 3–5 or >5 DTs were analyzed to Wk48 (observed case). Results: Overall, 1,014 patients were randomized to BKZ Q2W/Q2W (N=288), BKZ Q2W/Q4W (N=292), BKZ Q4W/Q4W (N=288) or PBO/BKZ Q2W (N=146). At baseline, in patients with ≥1 DT, proportions with 1–2 DTs ranged from 34.2–37.4%; 3–5 DTs: 27.0–36.9%; >5 DTs: 28.8–35.5%. In patients with ≥3 DTs, proportions with 3–5 DTs ranged from 43.2–56.1%; >5 DTs: 43.9–56.8%. At Wk16, higher proportions of BKZ-treated patients with ≥1 DT at baseline achieved 0 DTs vs PBO: BKZ Q2W/Q2W, 35.4%; BKZ Q2W/Q4W, 35.4%; BKZ Q4W/Q4W, 33.1% vs PBO, 24.7%. At Wk48, the proportions of patients receiving continuous BKZ that achieved 0 DTs increased to: 45.5%, 48.8%, and 46.8% respectively; PBO/BKZ Q2W switchers showed similar trends (46.3%). For patients with ≥3 DTs at baseline, at Wk16 a higher proportion receiving BKZ achieved 0 DTs vs PBO: BKZ Q2W/Q2W, 24.6%; BKZ Q2W/Q4W, 26.8%; BKZ Q4W/Q4W, 21.7%; vs PBO, 11.5%. At Wk48, the proportions receiving continuous BKZ that achieved 0 DTs increased to 35.0%, 42.2%, and 36.0%, respectively. PBO/BKZ Q2W switchers achieved similar levels (38.0%), with a more favorable increase from Wk16 to Wk48 than PBO/BKZ Q2W switchers with ≥1 DT at baseline.Conclusion: At Wk16, a higher proportion of BKZ-treated vs PBO patients with ≥1/≥3 DTs at baseline achieved 0 or 1–2 DTs; proportions increased to Wk48 regardless of treatment arm.

Landslide Susceptibility Assessment in Hong Kong with Consideration of Spatio-Temporal Consistency

Landslide susceptibility is crucial for assessing the probability and severity of landslide disasters in a region. Previous studies have focused on static landslide susceptibility, using landslide assessment factor data from varying years, making it difficult to estimate spatio-temporal consistency and resulting in low prediction accuracy. Taking Hong Kong, China, as the study region, this study proposes a framework to estimate spatio-temporally consistent landslide susceptibility. The landslide assessment factors are divided into static and dynamic factors, with a temporal resolution of 5 years. Specifically, the dynamic assessment of landslide susceptibility is conducted for the periods 2000–2004, 2005–2009, 2010–2014, and 2015–2019, covering a total span from 2000 to 2019. Results show that the accuracy of the proposed model, defined as the proportion of correctly classified samples relative to the total number of samples, exceeds 0.7 across these four time periods. Both the F1-Score and the receiver operating characteristic (ROC) curve indicate that the proposed research framework exhibits good accuracy and practicality in susceptibility assessment. The proposed framework could capture temporal variations in landslide occurrence, allowing for a more accurate prediction of landslide susceptibility. The findings provide valuable insights for landslide disaster prevention and mitigation in Hong Kong and would also be applicable in other countries or regions.

Dynamic assessment of coupling coordination of marine strategic emerging industry-resource-environment system in China

Dynamic assessment of coupling coordination of marine strategic emerging industry-resource-environment system in China

A clustering-based survival comparison procedure designed to study the Caenorhabditis elegans model.

Caenorhabditis elegans is highly important in current research, serving as a pivotal model organism that has greatly advanced the understanding of fundamental biological processes such as development, cellular biology, and neurobiology, helping to promote major advances in various fields of science. In this context, the survival of a nematode under various conditions is commonly investigated via statistical survival analysis, which is typically based on hypothesis testing, providing valuable insights into the factors influencing its longevity and response to various environmental factors. The extensive reliance on hypothesis testing is acknowledged as a concern in the scientific analysis process, emphasizing the need for a comprehensive evaluation of alternative statistical approaches to ensure a rigorous and unbiased interpretation of research findings. In this work, we propose an alternative method to hypothesis testing for evaluating differences in nematode survival. Our approach relies on a clustering technique that takes into account the complete structure of survival curves, enabling a more comprehensive assessment of survival dynamics. The proposed methodology helps to identify complex effects on nematode survival and enables us to derive the probability that treatment induces a specific effect. To highlight the application and benefits of the proposed methodology, it is applied to two different datasets, one simple and one more complex.

Personality, Aging, and Alzheimer's Disease: Implications for Psychoneuroimmunology and Personalized Medicine.

Psychoneuroimmunology (PNI) advancements may revolutionize personalized medicine by identifying systemic biomarkers that enhance diagnosis and treatment. Inflammatory pathways connect personality traits with cognitive performance, aging-related disorders, and mortality risks. Studies have demonstrated the critical interactions between personality and various biological systems like the hypothalamic-pituitary-adrenal (HPA) axis. The gut-brain axis also affects behaviors and psychological states in older adults, with specific gut microbiota influencing cognition, mood, and personality. These findings underscore the practical implications of understanding personality-biology interactions. They can support preventive and personalized medicine for aging-associated disorders. Specifically, personality changes are prevalent in Alzheimer's disease (AD) patients, impacting clinical management and caregiver stress. Non-cognitive factors, such as personality traits and psychiatric symptoms, may serve as early markers of AD. Traits like high Neuroticism and low Openness can predict initial AD stages, often before a formal diagnosis. Personality alterations in AD are also linked to cerebrospinal fluid (CSF) and vascular imaging biomarkers, which can track AD pathology and serve as predictors. Dynamic personality assessment can aid in timely diagnosis, monitoring progression, and evaluating treatmentsof AD. Understanding personality traits is crucial for predicting burnout, lifespan, and intervention success. Integrating personality and PNI biomarkers into patient profiles will support the development of personalized and systems medicine.

Dynamic ELCC assessment of hospital building: contrast assembled interior decoration with traditional interior decoration

Dynamic ELCC assessment of hospital building: contrast assembled interior decoration with traditional interior decoration

Residue Dissipation Dynamics and Dietary Risk Assessment of Kasugamycin, Oxine-Copper, Dimethomorph, and Pyraclostrobin in Cucumber

Residue Dissipation Dynamics and Dietary Risk Assessment of Kasugamycin, Oxine-Copper, Dimethomorph, and Pyraclostrobin in Cucumber

Immediate Effect of Hamstring Stretching on Q Angle, Flexibility, and Balance in Individuals with Hamstring Tightness

Objective: Hamstring tightness is a common problem that can affect the quadriceps angle, flexibility of knee extension, and balance. The purpose of this study was to investigate the immediate effects of passive static hamstring stretching on the quadriceps angle, knee joint range of motion (ROM), and static and dynamic balance in people with hamstring tightness.Material and Methods: A total of 52 male participants were randomly divided into two groups: a stretching group and a control group. All participants underwent a physical therapy examination before the experiment (Pre-test), including an Active Knee Extension Test, quadriceps angle (Q angle) measurement, and static balance and dynamic balance assessments. After that, the stretching group received passive static hamstring muscle stretching, while the control group received knowledge about the tightness of the hamstring muscle. After the experiment, all participants underwent a physical therapy examination using the same testing method.Results: The study found that passive static hamstring muscle stretching increased the knee extension ROM by 5.54±3.78 degrees (p-value<0.01) and decreased the Q angle by -1.85±1.46 degrees (p-value<0.01) compared to the control group. However, there were no significant differences between the groups for the balance outcomes.Conclusion: This study found that passive static hamstring muscle stretching improved knee extension and decreased the Q angle. These findings can confirm the positive effects of exercise for increasing flexibility among individuals with tight hamstrings and abnormal Q angle.

Spatiotemporal dynamic assessment and obstacle analysis of economic resilience in China's marine fisheries.

With global climate change and increased overfishing, the sustainable development of marine fisheries economies faces many challenges. This study evaluates the resilience of the marine fishery system in China's coastal areas in a systematic, scientific, and comprehensive manner by establishing the ANP-EWM-TOPSIS comprehensive evaluation system, analyzing the temporal and spatial changes in the economic resilience of marine fisheries, and exploring the main obstacles affecting resilience. The results show that the fishery system in Chinese marine regions demonstrates significant resilience both temporally and spatially. From the analysis of temporal and spatial variations, the economic resilience of marine fisheries in Fujian and Shandong provinces is relatively high and shows a clear upward trend, while the changes in economic resilience of marine fisheries in Tianjin and Shanghai are not significant. Regarding obstacle factors, the dimensions of resistance and innovation exhibit relatively high levels of obstacles. The findings of this study are of great significance for enhancing the economic resilience of marine fisheries in coastal regions worldwide.

Emotional Intelligence of Chinese Teachers and its Impact on Classroom Dynamics and Student Engagement

This research investigates the correlation between teachers' emotional intelligence and classroom dynamics, as well as the level of involvement shown by students in a university environment through a descriptive correlational methodology. Using Daniel Goleman's framework, the assessment focused on many aspects of emotional intelligence, including self-awareness, self-regulation, motivation, empathy, and social skills. The study also assessed the dynamics inside the classroom, including how it was managed, the instructional tactics used, the overall atmosphere, the level of differentiation, and the effectiveness of communication. Additionally, it examined the level of student involvement, including the meaningfulness of activities, the students' sense of competence, the support for their autonomy, the extent of collaborative learning, and their orientation towards mastery. Validated self-designed questionnaires were used to gather data from 30 instructors and 900 students. The findings reveal that instructors assessed their emotional intelligence as moderate, with empathy being the greatest and social skills being the lowest. Students evaluated classroom dynamics as somewhat successful in managing, creating an atmosphere, adapting to individual needs, and effectively using teaching methods and communicating. The engagement levels were moderate for meaningful activities and mastery orientation but low for competence, autonomy support, and collaborative learning. Correlation analysis indicated that there were no significant connections between teachers' overall emotional intelligence and students' assessments of classroom dynamics or participation. This implies that emotional intelligence does not directly impact these elements.

The Predictive Role of Inflammatory Biomarkers and Their Correlation with the Biochemical Profile in Patients with Vasculopathy Undergoing Surgery

Inflammation is involved in the pathomechanism of vascular diseases. Pro-inflammatory cytokines are important in perioperative monitoring. The aim of the study was the perioperative assessment of biochemical tests and inflammatory markers in patients with vasculopathy, focusing on the identification of subjects prone to complications. The study was performed between 2020 and 2023 at the Clinical County Hospital in Târgu Mureș on enrolled diabetic and non-diabetic patients with vasculopathy and lower limb surgery (amputation or necrectomy). Pre- and postoperative inflammatory markers, biochemical, and hematological tests (n = 62) were performed. Positive correlation was found between preoperative C-reactive protein (CRP) and interleukin-6 (IL-6) levels, and between preoperative triglyceridemia and glycemia/cholesterolemia. Positive correlation was present between pre- and postoperative values of IL-6, tumor necrosis factor-alfa (TNF-α), CRP, and fibrinogen. Preoperative TNF-α values positively correlated with malondialdehyde (MDA) levels, postoperative TNF-α values with transaminase enzymes. Diabetic patients presented higher IL-6 results compared to non-diabetic subjects. We can conclude that dynamic assessment of inflammatory markers is appropriate for monitoring perioperative course. Half of the subjects presented moderately increased preoperative IL-6 levels, and one quarter had critically high values, which might predict prolonged hospitalization. The assessment of oxidative stress, inflammatory markers and biochemical parameters enables the identification of patients prone to complications, so they can benefit from more complex management.

“I could learn more words”: Involving stakeholders in defining L2 English reading constructs in diagnostic and dynamic assessment

There has been a growing effort to combine two L2 (second/foreign language) assessment frameworks that aim to promote student learning but have different theoretical roots – diagnostic and dynamic assessment. This paper focuses on identifying and operationalising L2 English reading constructs in such a novel assessment framework. We will argue that constructs in this assessment framework should include a view of how they develop and, ultimately, actions that should be taken to guide this development. Focusing on the data from teachers (n=43) and learners (n=725) but also Matriculation Examination item writers and raters (censors; n=22), we propose a procedure for defining and operationalising assessed constructs that combines their theoretical understanding and conceptions, understandings, and actions by these stakeholders. We discuss these data with reference to how constructs and their development are understood in the two assessment frameworks.

Dynamic Indoor Environmental Quality Assessment in Residential Buildings: Real-Time Monitoring of Comfort Parameters Using LoRaWAN

This study addresses an identified literature gap regarding indoor environmental quality in residential buildings, where the primary focus has traditionally been on energy performance rather than comfort optimization. Leveraging the low-cost and easy-to-implement LoRaWAN protocol, this research collects and analyses real-time data on comfort parameters, including temperature, CO2 levels, humidity, lighting, atmospheric pressure, and total volatile organic compounds (TVOC) across various buildings within the INCUBE EU project. The results highlight the dynamic nature of the parameters and emphasize the importance of continuous monitoring to enhance comfort and energy efficiency in smart residential buildings. The findings advocate for integrating technologies like LoRaWAN to optimize indoor environmental quality, ultimately improving residential comfort and occupant well-being.

Wheels of Change: The Environmental Paradox of Accelerating Vehicle Retirement Program.

Accelerated vehicle retirement is recognized as crucial for managing fleet emissions effectively. However, the emergence of new energy vehicles introduces complexities in assessing their environmental impacts. This study developed a dynamic fleet-based life cycle assessment model to analyze the effects of four distinct scrappage strategies in China from 2021 to 2060. The results underscore the importance of a meticulously chosen retirement strategy that harmonizes fleet characteristics with advancements in vehicle technology to promote sustainable mobility. Accelerated retirement strategies are demonstrated to enhance vehicle sales and expedite the incorporation of new energy vehicles into the fleet. Although these policies reduce greenhouse gas and carbon monoxide emissions, they may exacerbate other air pollutants, necessitating vigilant management. Additionally, the temporal distribution of environmental impacts reveals the critical need for long-term assessments. By evaluating six negative externalities of emissions, the research indicates that targeted scrappage policies, which advocate for the retirement of older vehicles, could potentially generate economic benefits of 6.81 to 7.29 billion dollars in reduced losses. However, an overly aggressive scrappage policy could increase negative externalities, leading to additional costs ranging from 0.84 to 3.31 billion dollars. This study reveals the intricate long-term environmental consequences of scrappage strategies accompanying the rise of new energy vehicles and lays a methodological groundwork for ongoing research into the most effective retirement scheme.

Dynamic Changes Toward Reflective Practice: Documented Shifts in Speech-Language Pathologists' Evaluation Practices.

This qualitative study explored the experiences of speech-language pathologists (SLPs) in professional learning communities (PLCs) during a year-long virtual professional development (PD) opportunity using an implementation science (IS) framework in an urban public school district for dynamic assessment (DA) training. The DA presented in the PD was modified based on ongoing discussions with key stakeholders in the district, so that it could be reasonably implemented in clinical practice while preserving the integrity of the DA's purpose. SLPs in an urban district were trained virtually using DA over the course of the school year. PD topics focused on decreasing bias and incorporating evidence-based practice into SLP approaches to speech-language evaluations. The SLPs underwent three training sessions and three separate PLC sessions. The SLPs were assigned a series of case studies to complement PLC sessions. An IS framework informed each step of the PD and PLCs to ensure applicability and integration of the content. Of the 366 SLPs working in the district, 209 consented and filled out two questionnaires and three exit slips to gather information on their experiences with the DAs and PLC models. SLPs reported new insights into their practice, including changes in assessment practices, awareness of bias in assessment practices, and increased confidence in working with families during the evaluation process. Two additional themes emerged: increased collaboration and enhanced group problem-solving skills when working with peers in PLC groups, and expanded proficiencies and heightened skills when applying DA practices to evaluations. The two challenges faced by SLPs included time constraints and confidence in the mastery of DA. This study offers an approach to shifting evaluation practices in large districts to incorporate more evidence-based approaches.

The Stability of Linguistic Skills of Arabic-Speaking Children Between Kindergarten and First Grade.

This study aimed to evaluate the stability of phonological awareness (PA) and language achievements between kindergarten and first grade among Arabic-speaking children. A total of 1,158 children were assessed in PA and language skills in both grades and were classified based on distinct and integrated achievements on PA and language following percentiles' cutoff criteria. The classification of distinct achievements constituted high, intermediate, low, and very low achievement-based groups for each domain. The classification of the integrated achievements on both domains constituted four groups: intermediate-high PA and language, very low PA, very low language, and doubly low (very low PA and language). Descriptive statistics and McNemar's tests were used to examine the stability of these groups. The analyses showed a significant improvement in achievements on most tasks. The distinct classification for PA and language indicated that many more kindergarteners in the extreme distribution with high and very low achievement levels maintained this profile in first grade compared to those with intermediate achievements. For PA, 55.7% of kindergarteners with high, 30% with intermediate, 30.4% with low, and 45.5% with very low achievements maintained their achievements in first grade. For language, 52.5% of kindergarteners with high, 34.5% with intermediate, 38.8% with low, and 59.8% with very low achievements maintained their language achievements. The integrated classification indicated a higher achievement stability rate for kindergarteners with intermediate-high PA and language (91.3%) and for doubly low achievers (84.7%) compared to very low PA (24.1%) or very low language (31.8%) achievers. The study indicated a higher variability in the distribution of the intermediate achievements compared to the high and very low achievements, which were more stable across grade. The results emphasize the need for dynamic linguistic assessments and early intervention for children with very low achievements in PA and language who show a poor prognosis.

Visual assessment of cerebrospinal fluid flow dynamics using 3D T2-weighted SPACE sequence-based classification system.

Flow-related signal void artifacts can be visualized on the T2-weighted (T2W) three-dimensional sampling perfection with application-optimized contrast (3D-SPACE) sequence. Flow void artifacts in the cerebral aqueduct and the fourth ventricle can provide information about cerebrospinal fluid (CSF) flow dynamics. In this study, we aimed to test the performance of the T2W 3D-SPACE sequence in assessing the CSF flow in the aqueduct and/or fourth ventricle. A total of 137 patients (age range = 3-89 years) who underwent CSF flow study were included. The amount of signal loss on T2W 3D-SPACE due to flow in the aqueduct and fourth ventricle was assessed and graded using a 4-point scale of 0 (absence of flow void) to 3 (signal void filling the aqueduct and entire fourth ventricle). A correlation was then sought between the quantitative values obtained by phase-contrast magnetic resonance imaging (PC-MRI) and the amount of signal void in the 3D-SPACE sequence. At the aqueduct level, there was a statistically significant difference in the forward flow velocity and the flow volume among different grades (all P < 0.001). In the grade 3 group, CSF peak systolic flow velocity and mean flow volume were found to be significantly higher than in the other grades (P < 0.001). The mean aqueduct area in the grade 0 group was found to be significantly different from that in the other classes (P < 0.001). The amount of signal loss in the fourth ventricle observed on T2W 3D-SPACE is correlated with the peak systolic velocity and flow volume measured quantitatively in PC-MRI.

Comprehensive Assessment of Intradermal Responses to Hyaluronic Acid-Based Skin Injection Fillers through Multi-Pathway Dynamic Synergies

Skin injection filling products must undergo a rigorous evaluation before entering the market, and intradermal reactions are crucial for biocompatibility. However, current evaluation methods for skin injection fillers often lack precision. This study aims to explore a comprehensive evaluation method by incorporating additional indicators: dermoscopy, transepidermal water loss, moisture content, ultrasound, and histological observation. Experimental findings show sodium hyaluronate gel groups exhibited no noticeable erythema or abnormalities, except for skin swelling. The dynamic and quantitative assessment of water content and transdermal water loss provided insights into the injection site skin's edema status. Ultrasound imaging observed subcutaneous material occupation and measured skin protrusion height. Histopathological observations revealed edema and inflammation in positive groups but no significant reactions in any gel samples. The comprehensive use of these methods confirms that the intradermal response of injection fillers in this study is within an acceptable range. However, if solely evaluated based on existing standards, it may exceed the qualified range. Consequently, the study suggests that for sodium hyaluronate gel, a macromolecular injection filler for long-term subcutaneous space occupancy, the traditional intradermal reaction scoring method may be inadequate. The proposed comprehensive evaluation scheme in this study is considered a more objective approach.

Real-Time IMU-Based Kinematics in the Presence of Wireless Data Drop.

Wireless inertial motion capture holds promise for real-time human-machine interfaces and home-based rehabilitation applications. However, wireless data drop can cause significant estimation errors deteriorating performance or even making the system unusable. It is currently unclear how to estimate non-periodic kinematics with wearable inertial measurement units (IMUs) in the presence of wireless data drop (packet loss). We thus propose a novel inference encoder-decoder network model for real-time kinematics during dynamic movement. Twenty-four healthy subjects performed yoga, golf, swimming, dance, and badminton movement activities while wearing IMUs and 10-90% of each IMU's data were randomly removed to determine the effects of data drop on estimation accuracy with and without the proposed model. Results demonstrated a reduction in RMSE of 45.2% to 51.5% in the upper limb kinematic estimation of the proposed model compared to the No Prediction strategy, and a reduction of 19.1% to 31.3% of the proposed model compared with an baseline LSTM model. In addition, the proposed model has significantly less error (p<0.05) than the No Prediction strategy and the baseline LSTM model for 10%, 20%, 30%, 40%, 50%, 60%, 70%, and 80% data drop. These results could enable wearable, wireless IMU dynamic motion analysis and assessment with reduced kinematic estimation error in the presence of varying amounts of wireless data drop and thus could further facilitate human-machine interaction and home-based medical assessment and treatment.

Online Dynamic Security Assessment: Using Hybrid Physics-Guided Deep Learning Models

Online Dynamic Security Assessment: Using Hybrid Physics-Guided Deep Learning Models