Factorial Validity of the 32-Item World Health Organization Disability Assessment Schedule 2.0 in Persons With Stroke.

Background And Purpose: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a well-established tool for assessing disability.

Development and validation of a GPT-based rater for assessing communication skills using the Gap-Kalamazoo Communication Skills Assessment Form.

This study developed a generative pre-trained transformer (GPT)-based rater to assess communication skills using the Gap-Kalamazoo Communication Skills Assessment Form (GKCSAF), and examined its inter-rater reliability and concurrent validity. The GPT rater assessed 80 therapist-patient interaction transcripts previously assessed by human raters. For inter-rater reliability, at the total-score level, the GPT rater's assessments showed acceptable differences (mean absolute error % [MAE%] = 12.

Intra-rater and inter-rater reliability of the Empathic Communication Coding System.

Objects: The Empathic Communication Coding System (ECCS) is a promising measure of such behaviors, yet its reliability remains largely unestablished. The aim of the study was to examine the intra-rater and inter-rater reliability of the ECCS.

Methods: Transcripts of occupational therapy audio recordings were used to examine the reliabilities.

Effects of Feedback and Reflection on Communication Skills Training for Occupational Therapy Students.

Importance: Communication skills (CS) are essential for occupational therapists. Incorporating feedback intervention theory and reflective practice theory into training can enhance CS in occupational therapy students.

Objective: To investigate the effects of the Feedback and Reflection for Communication Skill Training program (FR-CT) on the CS of students.

Reliability of the Gap-Kalamazoo communication skills assessment form in occupational therapy.

Introduction: The Gap-Kalamazoo Communication Skills Assessment Form (GKCSAF) is widely used in medical education, yet its reliability in real occupational therapy clinical settings remains unexplored. This study aimed to assess the intra-rater and inter-rater reliability, as well as random measurement error, of the GKCSAF in occupational therapy.

Method: Five independent raters evaluated audio-recordings and transcripts of conversations involving 30 patients treated by 22 assessors (7 therapists and 15 students).

Development of a Computerized Adaptive Testing System of the World Health Organization Disability Assessment Schedule 2.0 (CAT-WHODAS 2.0) for People With Dementia.

Importance: Widely used for assessing levels of disability, the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) provides informative profiles for six life perspectives.

Mechanistic insights into the structure-based design of a CspZ-targeting Lyme disease vaccine.

Borrelia burgdorferi (Bb) causes Lyme disease (LD), one of the most common vector-borne diseases in the Northern Hemisphere. Here, we solve the crystal structure of a mutated Bb vaccine antigen, CspZ-YA that lacks the ability to bind to host complement factor H (FH). We generate point mutants of CspZ-YA and identify CspZ-YA and CspZ-YA to trigger more robust bactericidal responses.

Machine Learning-based World Health Organization Disability Assessment Schedule for persons with Parkinson's disease.

Introduction: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a well-known measure to assess disability in persons with Parkinson's disease (PD).

Predicting Age and Visual-Motor Integration Using Origami Photographs: Deep Learning Study.

Background: Origami is a popular activity among preschool children and can be used by therapists as an evaluation tool to assess children's development in clinical settings. It is easy to implement, appealing to children, and time-efficient, requiring only simple materials-pieces of paper. Furthermore, the products of origami may reflect children's ages and their visual-motor integration (VMI) development.

Mechanistic insights into structure-based design of a Lyme disease subunit vaccine.

The quality of protective immunity plays a critical role in modulating vaccine efficacy, with native antigens often not able to trigger sufficiently strong immune responses for pathogen killing. This warrants creation of structure-based vaccine design, leveraging high-resolution antigen structures for mutagenesis to improve protein stability and efficient immunization strategies. Here, we investigated the mechanisms underlying structure-based vaccine design using CspZ-YA, a vaccine antigen from , the bacteria causing Lyme disease (LD), the most common vector-borne disease in the Northern Hemisphere.

Test-Retest Reliability and Responsiveness of the Machine Learning-Based Short-Form of the Berg Balance Scale in Persons With Stroke.

Objective: To examine the test-retest reliability, responsiveness, and clinical utility of the machine learning-based short form of the Berg Balance Scale (BBS-ML) in persons with stroke.

Design: Repeated-measures design.

Setting: A department of rehabilitation in a medical center.

Structure-based design of a soluble human cytomegalovirus glycoprotein B antigen stabilized in a prefusion-like conformation.

Human cytomegalovirus (HCMV) glycoprotein B (gB) is a class III membrane fusion protein required for viral entry. HCMV vaccine candidates containing gB have demonstrated moderate clinical efficacy, but no HCMV vaccine has been approved. Here, we used structure-based design to identify and characterize amino acid substitutions that stabilize gB in its metastable prefusion conformation.

Patient-Reported Variables Affecting Self-Perceived Overall Recovery Among People With Subacute Stroke.

Importance: Patients' perception of overall recovery is a critical outcome for stroke rehabilitation. However, the perception of overall recovery cannot be obtained using multidimensional measures, because satisfaction in most domains of life does not guarantee satisfaction in overall recovery. A single overall recovery score seems a straightforward measure.

Inter- and Intrarater Reliability of the Gap-Kalamazoo Communication Skills Assessment Form Among Occupational Therapy Interns.

Importance: Effective communication skills (CS) are essential for occupational therapists. The Gap-Kalamazoo Communication Skills Assessment Form (GKCSAF) is a standard tool for assessing the CS of medical residents. However, the interrater reliability for the nine CS domain scores ranges from poor to good.

Development and validation of the newly developed Preschool Theory of Mind Assessment (ToMA-P).

Introduction: Theory of mind (ToM) refers to the ability to understand and attribute mental states to oneself and others. A ToM measure is warranted for preschool children to assess their ToM development from a multidimensional perspective (i.e.

Developing a machine learning-based short form of the positive and negative syndrome scale.

Background And Hypothesis: The Positive and Negative Syndrome Scale (PANSS) consists of 30 items and takes up to 50 minutes to administer and score. Therefore, this study aimed to develop and validate a machine learning-based short form of the PANSS (PANSS-MLSF) that reproduces the PANSS scores. Moreover, the PANSS-MLSF estimated the removed-item scores.

The minimal important difference for the Postural Assessment Scale for Stroke Patients in the subacute stage.

Background: The minimal important difference (MID) of the Postural Assessment Scale for Stroke Patients (PASS) remains unknown, limiting the interpretation of change scores.

Objectives: To estimate the MID of the PASS in patients with subacute stroke.

Methods: Data at admission and discharge for 240 participants were retrieved from a longitudinal study.

Prefusion-stabilized SARS-CoV-2 S2-only antigen provides protection against SARS-CoV-2 challenge.

Ever-evolving SARS-CoV-2 variants of concern (VOCs) have diminished the effectiveness of therapeutic antibodies and vaccines. Developing a coronavirus vaccine that offers a greater breadth of protection against current and future VOCs would eliminate the need to reformulate COVID-19 vaccines. Here, we rationally engineer the sequence-conserved S2 subunit of the SARS-CoV-2 spike protein and characterize the resulting S2-only antigens.

Validation of the Machine Learning-Based Stroke Impact Scale With a Cross-Cultural Sample.

Importance: The machine learning-based Stroke Impact Scale (ML-SIS) is an efficient short-form measure that uses 28 items to provide domain scores comparable to those of the original 59-item Stroke Impact Scale-Third Edition (SIS 3.0). However, its utility is largely unknown because it has not been cross-validated with an independent sample.

Development of a Rasch-calibrated emotion recognition video test for patients with schizophrenia.

Patients with schizophrenia tend to have deficits in emotion recognition (ER) that affect their social function. However, the commonly-used ER measures appear incomprehensive, unreliable and invalid, making it difficult to comprehensively evaluate ER. The purposes of this study were to develop the Computerized Emotion Recognition Video Test (CERVT) evaluating ER ability in patients with schizophrenia.

SARS-COV-2 Omicron variants conformationally escape a rare quaternary antibody binding mode.

The ongoing evolution of SARS-CoV-2 into more easily transmissible and infectious variants has provided unprecedented insight into mutations enabling immune escape. Understanding how these mutations affect the dynamics of antibody-antigen interactions is crucial to the development of broadly protective antibodies and vaccines. Here we report the characterization of a potent neutralizing antibody (N3-1) identified from a COVID-19 patient during the first disease wave.

Consistency between two subjective assessments of activities of daily living: Patient- and occupational therapist-reported judgments.

Purpose: To examine the consistency between patient- and occupational therapist-reported judgments of patients' ability and change in ADL abilities.

Materials: Patient- and therapist-reported ADL abilities were assessed using a Visual Analogue Scale, whilst the changes in patients' ADL abilities were reported by patients and therapists using a 15-point Likert-type scale.

Methods: Repeated assessments at a 3-week interval were used.

Using Artificial Intelligence to Identify the Associations of Children's Performance of Coloring, Origami, and Copying Activities With Visual-Motor Integration.

Importance: Performance of coloring, origami, and copying activities reflects children's visual-motor integration (VMI), but the levels of association remain unclear.

Objective: To use artificial intelligence (AI) to investigate associations of performance of coloring, origami, and copying activities with VMI.

Design: Cross-sectional study.