The Machine Learning Model (MLM) has garnered popularity in rehabilitation, ranging from developing algorithms in outcome prediction, prognostication, and training artificial intelligence. High-quality data plays a critical role in algorithm development. Limited studies have explored factors that may influence the MLM algorithm performance in predicting spasticity severity level. The objectives of this study were to train and validate a MLM algorithm for spasticity assessment and determine the algorithm\'s prediction performance in predicting ambiguous spasticity datasets. Forty-seven persons with central nervous system pathology that fulfilled the inclusion and exclusion criteria were recruited. Four biomechanical properties of spasticity were obtained using off-the-shelf wearable sensors. The data were analyzed individually, and ambiguous datasets were separated. The acceptable inertial data were used to train and validate MLM in predicting spasticity. The trained and validated MLM algorithm was later deployed to predict the ambiguous spasticity datasets. A series of MLM were applied, including Support Vector Machine, Decision Tree, and Random Forest. The MLM\'s performance accuracy of the validation data was 96%, 52%, and 72%, respectively. The validated MLM accuracy performance level predicting ambiguous datasets reduces to 20%, 23%, and 23%, respectively. This study elucidates data biases and variances of disease background, pathophysiological and anatomical factors that have to be considered in MLM training.

The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source variability plays an important role. We showcase and discuss potential biases from data source variability for COVID-19 machine learning.
We used the publicly available nCov2019 dataset, including patient-level data from several countries. We aimed to the discovery and classification of severity subgroups using symptoms and comorbidities.
Cases from the 2 countries with the highest prevalence were divided into separate subgroups with distinct severity manifestations. This variability can reduce the representativeness of training data with respect the model target populations and increase model complexity at risk of overfitting.
Data source variability is a potential contributor to bias in distributed research networks. We call for systematic assessment and reporting of data source variability and data quality in COVID-19 data sharing, as key information for reliable and generalizable machine learning.

A high number of patients with obsessive-compulsive disorder (OCD) do not receive cognitive-behavioral therapy with exposure and response prevention, which is the most effective treatment for OCD. Therefore, Metacognitive Training for OCD (MCT-OCD) was developed, which is a structured group therapy aiming at the modification of dysfunctional (meta-)cognitive biases, beliefs and coping styles. It can be administered by less trained personnel, thus may reach a higher number of patients. An uncontrolled pilot study (MCT-OCD pilot version) provided first evidence that the training is highly accepted by patients; OC symptoms decreased with a high effect size (η2partial = 0.50). The aim of the present study is to address the shortcomings of the pilot study (e.g., no control group) and to assess the efficacy of the revised version of the MCT-OCD in the framework of a randomized controlled trial.
Eighty patients with OCD will be recruited. After a blinded assessment at baseline (-t1), patients will be randomly assigned either to the intervention group (MCT-OCD; n = 40) or to a care as usual control group (n = 40). The MCT-OCD aims to enhance patients\' metacognitive competence in eight modules by addressing dysfunctional (meta-)cognitive biases and beliefs associated with OCD (e.g., intolerance of uncertainty). After 8 weeks, patients will be invited to a post assessment (t1), and then they will receive a follow-up online questionnaire 3 months following t1 (t2). The primary outcome is the Y-BOCS total score, and the secondary outcomes include the HDRS, OCI-R, OBQ-44, MCQ-30, WHOQOL-BREF, BDI-II, and subjective appraisal ratings of the MCT-OCD. We expect that OC symptoms will decrease more in the intervention group compared with the care as usual control group from -t1 to t1 and that treatment gains will be maintained until t2.
The planned study is the first to investigate the MCT-OCD, a promising new treatment, in a randomized controlled trial. The MCT-OCD may help to overcome existing treatment barriers for patients with OCD.
German Registry for Clinical Studies ( DRKS00013539 ), 22.02.2018.

The aim of this Letter to the Editor was to report some important biases in a recently published Article. We agreed with the notion by Yamamoto et al. that the effects of epinephrine regarding was limited without hemostasis, however, this study had major limitations such as no information on etiology of traumatic cardiac arrest (hemorrhagic or on non-hemorrhagic) and on hemostatic treatment. The results of this study should be interpreted with caution and further analysis is necessary. Finally, we commented on the necessity of future study regarding another vasopressor (ie; vasopressin) on traumatic cardiac arrest based on current evidence.

I call the attention of psychologists to the pivotal role of cultural psychology in extending and enriching research programs. I argue that it is not enough to simply acknowledge the importance of culture and urge psychologists to practice cultural psychology in their research. I deconstruct five assumptions about cultural psychology that seriously undermine its contribution to the building of a true psychological science, including that cultural psychology (a) is only about finding group differences, (b) does not appertain to group similarities, (c) concerns only group-level analysis, (d) is irrelevant to basic psychological processes, and (e) is used only to confirm the generalizability of theories. I discuss how cultural psychology can provide unique insights into psychological processes and further equip researchers with additional tools to understand human behavior. Drawing lessons from the 20 years of cultural research that my colleagues and I have done on the development of social cognition, including autobiographical memory, future thinking, self, and emotion knowledge, I demonstrate that incorporating cultural psychology into research programs is not only necessary but also feasible.

The critical evaluation of an article enables professionals to make good use of the new information and therefore has direct repercussions for the benefit of our patients. Before undertaking a detailed critical reading of the chosen article, we need to consider whether the study used the most appropriate design for the question it aimed to answer (i.e., whether the level of evidence is adequate). To do this, we need to know how to classify studies in function of their design (descriptive or analytical; prospective or retrospective; cross-sectional or longitudinal) as well as their correlation with the levels of evidence. In critical reading it is also important to know the main systematic errors or biases that can affect a study. Biases can appear in any phase of a study; they can affect the sample, the development of the study, or the measurement of the results.

In this study, we analyse the relevance of harvestmen distribution data derived from opportunistic, unplanned, and non-standardised collection events in an area in the north of the Iberian Peninsula. Using specimens deposited in the BOS Arthropod Collection at the University of Oviedo, we compared these data with data from planned, standardised, and periodic collections with pitfall traps in several locations in the same area. The Arthropod Collection, begun in 1977, includes specimens derived from both sampling types, and its recent digitisation allows for this type of comparative analysis. Therefore, this is the first data-paper employing a hybrid approach, wherein subset metadata are described alongside a comparative analysis. The full dataset can be accessed through Spanish GBIF IPT at http://www.gbif.es:8080/ipt/archive.do?r=Bos-Opi, and the metadata of the unplanned collection events at http://www.gbif.es:8080/ipt/resource.do?r=bos-opi_unplanned_collection_events. We have mapped the data on the 18 harvestmen species included in the unplanned collections and provided records for some species in six provinces for the first time. We have also provided the locations of Phalangium opilio in eight provinces without published records. These results highlight the importance of digitising data from unplanned biodiversity collections, as well as those derived from planned collections, especially in scarcely studied groups and areas.