Characteristics and Activities of Nurses in Expanded Roles Employed in Swiss Nursing Homes: A Cross-Sectional Study.

BACKGROUND: As the number of nursing home residents with multiple healthcare needs grows, the demand for nursing expertise increases. The implementation of new care models involving nurses with expanded roles is crucial for ensuring quality care in nursing homes. OBJECTIVES: To investigate the characteristics and activities of nurses employed in nursing homes in expanded roles and the factors associated with variation in the activities performed. METHODS: This multicentre cross-sectional survey in Switzerland collected data from a convenience sample of 118 nursing homes between September 2018 and October 2019. From a subsample of 62 nursing homes, we analysed the characteristics and activities of 104 nurses in expanded roles. Associations between the activities performed and the educational background of the nurses in expanded roles, their direct supervisors' positions and the presence of physicians in the nursing homes were examined. RESULTS: Most Registered Nurses in expanded roles were diploma educated (48%), with fewer having a bachelor's (35%) or master's degree (17%). Overall, direct clinical practice and guidance and coaching activities were conducted monthly to weekly; consultation, evidence-based practice, collaboration and ethical decision-making activities were conducted monthly. We saw variations where a higher educational background was associated with more frequent evidence-based practice activities (z = 3.47, p < 0.001), and if direct supervisors were ward managers, nurses in expanded roles worked more frequently below their scope of practice (z = 4.10, p < 0.001). CONCLUSION: This is the first study to use Hamric's integrative Advanced Practice Nursing model to examine the activities of nurses in expanded roles in nursing homes. We found considerable variation in their activities, where nursing homes seem to adapt their roles to their educational background and the local context. IMPLICATIONS FOR PRACTICE: Our findings show the importance of clarifying role expectations for Registered Nurses in expanded roles, allowing them to practice at the top of the licence to meet residents' complex healthcare needs.

Caregiver preferences for physically harsh discipline of children in rural Uganda.

Purpose: Physically harsh discipline is associated with poor developmental outcomes among children. These practices are more prevalent in areas experiencing poverty and resource scarcity, including in low- and middle-income countries. Designed to limit social desirability bias, this cross-sectional study in rural Uganda estimated caregiver preferences for physically harsh discipline; differences by caregiver sex, child sex, and setting; and associations with indicators of household economic stress and insecurity. Method: Three-hundred-fifty adult caregivers were shown six hypothetical pictographic scenarios depicting children whining, spilling a drink, and kicking a caregiver. Girls and boys were depicted engaging in each of the three behaviors. Approximately half of the participants were shown scenes from a market setting and half were shown scenes from a household setting. For each scenario, caregivers reported the discipline strategy they would use (time out, beating, discussing, yelling, ignoring, slapping). Results: Two thirds of the participants selected a physically harsh discipline strategy (beating, slapping) at least once. Women selected more physically harsh discipline strategies than men (b = 0.40; 95% confidence interval [CI], 0.26 to 0.54). Participants shown scenes from the market selected fewer physically harsh discipline strategies than participants shown scenes from the household (b = -0.51; 95% CI, -0.69 to -0.33). Finally, caregivers selected more physically harsh discipline strategies in response to boys than girls. Indicators of economic insecurity were inconsistently associated with preferences for physically harsh discipline. Conclusions: The high prevalence of physically harsh discipline preferences warrant interventions aimed at reframing caregivers' approaches to discipline.

Implementing a Picture Prompt and Proximity Intervention in a Classroom with an Adult Learner: A Case Study.

The current case study investigated the use of a picture prompt and teacher proximity with an adult learner with significant disabilities during a postsecondary classroom management class and generalization setting. Results indicated that the learner had a higher percentage of intervals of on-task behavior during intervention than baseline. Teacher and learner satisfaction ratings suggested that the intervention was an acceptable strategy. A discussion of study limitations, implications, and future research directions are included. • A simple low tech instructional strategy can improve student on-task behavior. • Teachers can use an antecedent strategy to improve student behavior. • Strategies used in K-12 environments may work in higher education settings. • Successful applied behavior analysis strategies help include students in group participation.

Mechanisms of visual working memory processing task-irrelevant information retrieved from visual long-term memory.

Visual working memory (VWM) can selectively filter task-irrelevant information from incoming visual stimuli. However, whether a similar filtering process applies to task-irrelevant information retrieved from visual long-term memory (VLTM) remains elusive. We assume a "resource-limited retrieval mechanism" in VWM in charge of the retrieval of irrelevant VLTM information. To make a comprehensive understanding of this mechanism, we conducted three experiments using both a VLTM learning task and a VWM task combined with pupillometry. The presence of a significant pupil light response (PLR) served as empirical evidence that VLTM information can indeed make its way into VWM. Notably, task-relevant VLTM information induced a sustained PLR, contrasting with the transient PLR observed for task-irrelevant VLTM information. Importantly, the transience of the PLR occurred under conditions of low VWM load, but this effect was absent under conditions of high load. Collectively, these results show that task-irrelevant VLTM information can enter VWM and then fade away only under conditions of low VWM load. This dynamic underscores the resource-limited retrieval mechanism within VWM, exerting control over the entry of VLTM information.

Targeting the superior temporal gyrus with real-time fMRI neurofeedback: A pilot study of the indirect effects on self-referential processes in schizophrenia.

BACKGROUND: Individuals with schizophrenia (SZ) and auditory hallucinations (AHs) display a distorted sense of self and self-other boundaries. Alterations of activity in midline cortical structures such as the prefrontal cortex (mPFC) and anterior cingulate cortex (ACC) during self-reference as well as in the superior temporal gyrus (STG) have been proposed as neuromarkers of SZ and AHs. METHODS: In this randomized, participant-blinded, sham-controlled trial, 22 adults (18 males) with SZ spectrum disorders (SZ or schizoaffective disorder) and frequent medication-resistant AHs received one session of real-time fMRI neurofeedback (NFB) either from the STG (n = 11; experimental group) or motor cortex (n = 11; control group). During NFB, participants were instructed to upregulate their STG activity by attending to pre-recorded sentences spoken in their own voice and downregulate it by ignoring unfamiliar voices. Before and after NFB, participants completed a self-reference task where they evaluated if trait adjectives referred to themselves (self condition), Abraham Lincoln (other condition), or whether adjectives had a positive valence (semantic condition). FMRI activation analyses of self-reference task data tested between-group changes after NFB (self>semantic, post>pre-NFB, experimental>control). Analyses were pre-masked within a self-reference network. RESULTS: Activation analyses revealed significantly (p < 0.001) greater activation increase in the experimental, compared to the control group, after NFB within anterior regions of the self-reference network (mPFC, ACC, superior frontal cortex). CONCLUSIONS: STG-NFB was associated with activity increase in the mPFC, ACC, and superior frontal cortex during self-reference. Modulating the STG is associated with activation changes in other, not-directly targeted, regions subserving higher-level cognitive processes associated with self-referential processes and AHs psychopathology in SZ. CLINICALTRIALS: GOV: Rt-fMRI Neurofeedback and AH in Schizophrenia; https://clinicaltrials.gov/study/NCT03504579.

Tri-Flow-YOLO: Counter helps to improve cross-domain object detection.

The excellence of intelligent detection models has been widely recognized, but in terms of cross-domain scenes, they still face performance degradation and low accuracy. A multi-supervised Tri-Flow-YOLO model is proposed to improve the accuracy of objects with various scales under cross-domain conditions. Based on the full-supervised traditional detection branch of YOLOv5, another two mutually supporting task branches are designed intently. In brief, we add unsupervised adversarial classification training flow to the backend, to realize the feature alignment requirements and improve the cross-domain performance stability of the model. Meanwhile, a weakly-supervised object counting flow is proposed to improve the model's attention to all the objects and the detection ability is efficiently enforced. In addition, I-Mosaic and iCIOU are designed especially for small hard objects, enriching the positive samples during the training process. With the auxiliary of both improved strategies, the imbalance of positive and negative samples in the anchor-based model is relieved accordingly. The experimental results show that the improved Tri-Flow-YOLO model achieves 56.0 mAP in the Cityscapes→Foggy-Cityscapes task, and 49.8 mAP in the VOC→Clipart task.

Leader ethical voice and subordinate job performance: the chain mediating role of subordinate identification with leader and leader-member exchange.

Introduction: Ethical voice is a valuable ethical behavior that enables organizations to promptly recognize and rectify unethical issues and practices, thus preventing severe dilemmas and crises. Despite its importance, the extant literature has yet to fully explore the impact of a leader's ethical voice on subordinate outcomes. This study bridges this gap by integrating social identity theory and social exchange theory to scrutinize the process by which a leader's ethical voice affects subordinate task performance. Methods: We employ a serial mediation model to explore the mechanisms by which a leader's ethical voice enhances subordinates' task performance. Our theoretical framework is empirically validated using a dataset that includes 449 subordinate-leader pairings from Chinese enterprises. Results: The survey results demonstrate that a leader's ethical voice has a significant positive impact on subordinate task performance. Subordinate identification with leader and leader-member exchange not only individually mediate the effects of a leader's ethical voice on subordinate task behavior but also jointly serve as a chain-mediated mechanism in the influence of a leader's ethical voice on subordinate task behavior. Discussion: These findings illuminate the substantial effects that ethical leadership behaviors exert on employee performance and offer fresh perspectives on the intricate dynamics that govern this influence.

Evaluation of sterile glove usage on digital tactile sensitivity using the Grating Orientation Task.

Introduction: Surgical glove use may be associated with a decrease in tactile sensitivity, with thicker gloves or double-gloving techniques further altering sensation. This study evaluates digital tactile sensitivity by use of a Grating Orientation Task (GOT) with multiple sterile gloving techniques (no gloves, single standard gloving, double standard gloving, orthopedic gloves, and micro-thickness gloves). Methods: Each participant performed the GOT at increasing grating widths until correctly noting orientation in ≥8 of 10 trials with multiple glove types or double-gloving technique. Glove order was randomly assigned and participants were blinded to the orientation and dome size. Results: All gloves except micro-thickness gloves showed increased threshold sensitivity values (i.e. worse fingertip sensitivity) when compared to control (micro:control, p = 0.105, others:control, p < 0.05). Single-layer gloves showed no significant difference in sensitivity when compared to orthopedic (p = 0.06) or double-layer latex gloves (p = 0.26). Discussion: Standard latex gloves decreased fingertip sensitivity when evaluated with the GOT. Double-layer and orthopedic latex gloves do not decrease sensitivity when compared with single-layer gloving. Micro-thickness gloves may provide similar tactile sensitivity to no surgical glove.

Physical loads on upper extremity muscles while interacting with virtual objects in an augmented reality context.

Augmented reality (AR) environments are emerging as prominent user interfaces and gathering significant attention. However, the associated physical strain on the users presents a considerable challenge. Within this background, this study explores the impact of movement distance (MD) and target-to-user distance (TTU) on the physical load during drag-and-drop (DND) tasks in an AR environment. To address this objective, a user experiment was conducted utilizing a 5× 5 within-subject design with MD (16, 32, 48, 64, and 80 cm) and TTU (40, 80, 120, 160, and 200 cm) as the variables. Physical load was assessed using normalized electromyography (NEMG) (%MVC) indicators of the upper extremity muscles and the physical item of NASA-Task load index (TLX). The results revealed significant variations in the physical load based on MD and TTU. Specifically, both the NEMG and subjective physical workload values increased with increasing MD. Moreover, NEMG increased with decreasing TTU, whereas the subjective physical workload scores increased with increasing TTU. Interaction effects of MD and TTU on NEMG were also significantly observed. These findings suggest that considering the MD and TTU when developing content for interacting with AR objects in AR environments could potentially alleviate user load.

Validation of fNIRS measurement of executive demand during walking with and without dual-task in younger and older adults and people with Parkinson's disease.

BACKGROUND: Walking with a concurrent cognitive task (dual-task walking) can pose a challenge to some populations due to aging or neurodegenerative disease. These tasks require cognitive resources involving the prefrontal cortex and can be studied using functional near-infrared spectroscopy (fNIRS). An important step in understanding fNIRS measures during such walking tasks is validating that measures reflect the demands of the tasks and not confounding sources or movement artifacts. AIM: This study aimed to investigate the validity of fNIRS measures of prefrontal cortex activity as an indicator of executive demand during usual walking (single-task) and dual-task walking against clinical and objective measures of motor behavior in young adults, older adults, and people with Parkinson's disease (PD), by evaluating several validation hypotheses. METHODS: In total, 133 participants were recruited from younger adults (18-50 years, n = 42), older adults (≥60 years, n = 49) and people with PD (≥60 years, n = 42). Activity in the prefrontal cortex during walking with and without an auditory Stroop task was measured with fNIRS. A combined hemoglobin measure (correlation-based signal improvement, CBSI) was calculated for use in a region of interest analysis in the dorsolateral prefrontal cortex (dlPFC). Pre-registered hypotheses regarding convergent validity, discriminant validity and known group validity were tested. An exploratory analysis of different hemoglobin measures was also performed. RESULTS: Increases in dlPFC activity were found from single- to dual-task walking in the younger adults group and from rest to single-task walking in the older adults and PD groups. In line with hypotheses, a positive relationship was found between between dlPFC activity during dual-task walking and dual-task cost in the younger adults group, as well as a positive relationship to step time variability during single-task walking and a negative relationship to walking speed during single-task walking in the PD group. However, several clinical and gait measures lacked a relationship with dlPFC activity. CONCLUSION: The fNIRS results point towards the CBSI measure of dlPFC activity being a valid measure of executive demand during both single and dual-task walking. Some relationships between clinical and gait measures and brain activity during walking need further investigation.

Current strategies to address data scarcity in artificial intelligence-based drug discovery: A comprehensive review.

Artificial intelligence (AI) has played a vital role in computer-aided drug design (CADD). This development has been further accelerated with the increasing use of machine learning (ML), mainly deep learning (DL), and computing hardware and software advancements. As a result, initial doubts about the application of AI in drug discovery have been dispelled, leading to significant benefits in medicinal chemistry. At the same time, it is crucial to recognize that AI is still in its infancy and faces a few limitations that need to be addressed to harness its full potential in drug discovery. Some notable limitations are insufficient, unlabeled, and non-uniform data, the resemblance of some AI-generated molecules with existing molecules, unavailability of inadequate benchmarks, intellectual property rights (IPRs) related hurdles in data sharing, poor understanding of biology, focus on proxy data and ligands, lack of holistic methods to represent input (molecular structures) to prevent pre-processing of input molecules (feature engineering), etc. The major component in AI infrastructure is input data, as most of the successes of AI-driven efforts to improve drug discovery depend on the quality and quantity of data, used to train and test AI algorithms, besides a few other factors. Additionally, data-gulping DL approaches, without sufficient data, may collapse to live up to their promise. Current literature suggests a few methods, to certain extent, effectively handle low data for better output from the AI models in the context of drug discovery. These are transferring learning (TL), active learning (AL), single or one-shot learning (OSL), multi-task learning (MTL), data augmentation (DA), data synthesis (DS), etc. One different method, which enables sharing of proprietary data on a common platform (without compromising data privacy) to train ML model, is federated learning (FL). In this review, we compare and discuss these methods, their recent applications, and limitations while modeling small molecule data to get the improved output of AI methods in drug discovery. Article also sums up some other novel methods to handle inadequate data.

[Coin tossing: Development of a computerized test to assess cognitive flexibility in older adults]. / Lanzando la moneda. Desarrollo de una prueba informática para evaluar la flexibilidad cognitiva en las personas mayores.

BACKGROUND: The aging population is increasing. Aging has been associated with some degree of cognitive decline, especially in functions such as cognitive flexibility. The voluntary task-switching paradigm is a novel model for studying this function. The aim of this work was to design and test a computerized instrument to assess cognitive flexibility with this paradigm. METHODS: A non-probabilistic and intentional sample of individuals aged 60 and above (N=57; M=70; SD=7.5), 72% of whom were women, was utilized. A general cognitive screening test (ACE III) and the "Coin Tossing" task, a computerized program consisting of four levels of complexity, were administered. RESULTS: A Wilcoxon test was used to contrast parity versus size responses (z(56)=-1.16, P=.24). To assess repetition bias, a Wilcoxon test was conducted between new and repeated responses (TR: z(56)=-1.81, P=.07 // Accuracy: z(56)=-6.33, P=.00). A repeated measures ANOVA was performed between reaction times before, during, and after a response change, F(1.02)=59.6, P<.01, η2=.937, B-1=1. And a repeated measures ANOVA between mean RTs per level, F(3)=7.92, P<.001, η2=.128, B-1=.98. CONCLUSIONS: The test was designed with a progressive structure across levels. The theoretical assumptions of the paradigm were partially demonstrated, showing its utility for the assessment and training of cognitive flexibility.

Beta-Band power modulation in the human amygdala differentiates between go/no-go responses in an arm reaching task.

Introduction Traditionally known for its involvement in emotional processing, the amygdala's involvement in motor control remains relatively unexplored, with sparse investigation into the neural mechanisms governing amygdaloid motor movement and inhibition. Objective This study aimed to characterize the amygdaloid beta-band (13-30 Hz) power between "Go" and "No-go" trials of an arm reaching task. Methods Ten participants with drug-resistant epilepsy implanted with stereoelectroencephalographic (SEEG) electrodes in the amygdala were enrolled in this study. SEEG data was recorded throughout discrete phases of a Direct Reach Go/No-go task, during which participants reached a touchscreen monitor or withheld movement based on a colored cue. Multitaper power analysis along with Wilcoxon signed-rank and Yates-corrected Z tests were used to assess significant modulations of beta power between the Response and Fixation (baseline) phases in the "Go" and "No-go" conditions. Results In the "Go" condition, nine out of the ten participants showed a significant decrease in relative beta-band power during the Response phase (p ≤ 0.0499). In the "No-go" condition, eight out of the ten participants presented a statistically significant increase in relative beta-band power during the Response phase (p ≤ 0.0494). Four out of the eight participants with electrodes in the contralateral hemisphere and seven out of the eight participants with electrodes in the ipsilateral hemisphere presented significant modulation in beta-band power in both the "Go" and "No-go" conditions. At the group level, no significant differences were found between the contralateral and ipsilateral sides or between genders. Conclusion This study reports beta-band power modulation in the human amygdala during voluntary movement in the setting of motor execution and inhibition. This finding supplements prior research in various brain regions associating beta-band power with motor control. The distinct beta-power modulation observed between these response conditions suggests involvement of amygdaloid oscillations in differentiating between motor inhibition and execution.

Implementation outcomes from a pilot study of training probation officers to deliver contingency management for emerging adults with substance use disorders.

INTRODUCTION: Emerging adults (EAs) in the criminal legal system are at high risk for substance use and related negative outcomes. EAs also have low levels of engagement in treatment services, a pattern exacerbated for those living in rural communities. This pilot study investigated implementation outcomes of task-shifting an evidence-based substance use intervention, via a developmentally targeted program, provided by probation officers (POs) to selected EA clients. METHODS: Ten POs recruited from two counties in Oregon who provide services to rural clients were trained and supported in delivering contingency management for EAs (CM-EA) to 17 EAs on their current caseloads. The pilot took place entirely during the COVID-19 pandemic. POs submitted session audiotapes and checklists from meetings with participating EA clients and participated in focus groups. EA clients completed baseline interviews and agreed to have their adult criminal records collected. Ten semi-structured interviews were completed with probation/parole administration and staff from four rural counties across three states highly impacted by the opioid epidemic about the barriers and facilitators for delivering a program like CM-EA in their offices. RESULTS: Based on self-reports and observational coding, POs demonstrated fidelity and adoption as they delivered all CM-EA components and engaged in CM-EA quality assurance protocols. Penetration was demonstrated by the selection of EAs reflecting the demographics of their local offices (i.e., White, non-Hispanic, balanced across sex), struggling with polysubstance use, and primarily holding felony convictions. Emerging themes from focus groups and interviews revealed feasibility, acceptability, and appropriateness of CM-EA, including use with clients not currently in the research program and reported intentions to continue CM-EA use. Barriers for future use include those found for the delivery of other programs in rural areas such as resource limitations. CONCLUSIONS: There is initial support for the implementation outcomes related to task-shifting a program like CM-EA to POs, particularly those serving rural clients, to increase access to evidence-based substance use services for EAs. Future research with larger samples and multiple follow-ups will allow for effectiveness testing and further program refinement for this high-priority population.

How Do I Examine Laryngeal Dystonia?

Laryngeal dystonia is a potentially disabling task specific dystonia primarily affecting speech. The evaluation and diagnosis of laryngeal dystonia remain challenging, and often require a multi-disciplinary approach, involving collaboration among speech language pathologists, neurologists and laryngologists (1-5). It is crucial to correctly differentiate between the types of laryngeal dystonia due to the distinct therapeutic approaches and responses to botulinum toxin therapy or speech therapy. For educational purposes, we have divided laryngeal dystonia into two main types: adductor and abductor dystonia. In this article, we describe a series of examination techniques that can assist movement disorders neurologists diagnosing this condition, and appropriately differentiating the most common forms of laryngeal dystonia.

Rare incompatible stimuli evoke visual mismatch negativity in a flanker task.

In the flanker task, the behavioral performance for incompatible stimuli is worse in the mostly compatible (rare) condition than in the equiprobable condition. Furthermore, incompatible stimuli evoke visual mismatch negativity (VMMN) when comparing the rare and equiprobable conditions. Compatible and incompatible stimuli differ in terms of their shape and type. This study aimed to examine whether VMMN evoked by rare incompatible stimuli were associated with the shape or type of the stimulus. In a modified version of the flanker task, stimuli were manipulated by two shapes (typical or peculiar) and two types (compatible or incompatible): typical compatible stimuli (< < < < < and > > > > >), typical incompatible stimuli (> > < > > and < < > < <), peculiar compatible stimuli (+ < < < + and + > > > +), and peculiar incompatible stimuli (+ > < > + and + < > < +). In the rare condition, typical incompatible, peculiar compatible, and peculiar incompatible stimuli were presented with a probability of 10%, whereas all the stimuli were presented equally in the equiprobable condition. Right posterior negativity from 200 to 250 ms was significantly more negative in the rare condition than in the equiprobable condition for typical and peculiar incompatible stimuli; however, this difference was not observed for peculiar compatible stimuli. VMMN was significantly more negative for typical and peculiar incompatible stimuli than for peculiar compatible stimuli, and was not significantly different between typical and peculiar incompatible stimuli. These findings suggest that VMMN for incompatible stimuli is associated with the type rather than the shape of the stimulus.

Regional brain activity and neural network changes in cognitive-motor dual-task interference: A functional near-infrared spectroscopy study.

Previous neuroimaging studies have reported dual-task interference (DTi) and deterioration of task performance in a cognitive-motor dual task (DT) compared to that in a single task (ST). Greater frontoparietal activity is a neural signature of DTi; nonetheless, the underlying mechanism of cortical network in DTi still remains unclear. This study aimed to investigate the regional brain activity and neural network changes during DTi induced by highly demanding cognitive-motor DT. Thirty-four right-handed healthy young adults performed the spiral-drawing task. They underwent a paced auditory serial addition test (PASAT) simultaneously or independently while their cortical activity was measured using functional near-infrared spectroscopy. Motor performance was determined using the balanced integration score (BIS), a balanced index of drawing speed and precision. The cognitive task of the PASAT was administered with two difficulty levels defined by 1 s (PASAT-1 s) and 2 s (PASAT-2 s) intervals, allowing for the serial addition of numbers. Cognitive performance was determined using the percentage of correct responses. These motor and cognitive performances were significantly reduced during DT, which combined a drawing and a cognitive task at either difficulty level, compared to those in the corresponding ST conditions. The DT conditions were also characterized by significantly increased activity in the right dorsolateral prefrontal cortex (DLPFC) compared to that in the ST conditions. Multivariate Granger causality (GC) analysis of cortical activity in the selected frontoparietal regions of interest further revealed selective top-down causal connectivity from the right DLPFC to the right inferior parietal cortex during DTs. Furthermore, changes in the frontoparietal GC connectivity strength between the PASAT-2 s DT and ST conditions significantly correlated negatively with changes in the percentage of correct responses. Therefore, DTi can occur even in cognitively proficient young adults, and the right DLPFC and frontoparietal network being crucial neural mechanisms underlying DTi. These findings provide new insights into DTi and its underlying neural mechanisms and have implications for the clinical utility of cognitive-motor DTs applied to clinical populations with cognitive decline, such as those with psychiatric and brain disorders.

Investigation of the effect of task-oriented occupational therapy on daily living activity performance in chronic stroke patients.

Objective: Task-oriented therapy (TOT) is used to increase the effectiveness of upper extremity (UE) in activity daily living (ADL). This study aimed to investigate the effect of TOT on the participation and ADLs of stroke patients. Methods: Between October 2018 and February 2019, 28 chronic stroke patients were included in the study treated in Kocaeli University Hospital, Department of Physical Medicine and Rehabilitation, Turkey. The performance areas and participation status of the patients in which they experienced limitations were evaluated with the Canadian Occupational Performance Scale (COPM), and their level of independence in ADLs was evaluated with the Modified Frenchay Activity Index (mFAI) and Barthel Index (BI). All patients were included in the occupational therapy (OT) program five days a week for three weeks at Kocaeli University Hospital. Three ADLs in which they had difficulties were studied with 28 patients. Each of the activities was designed specifically for the patient. All assessments were repeated after three weeks of treatment. Results: A total of 28 patients, 12 females and 16 males, diagnosed with stroke, were included in the study. A statistically significant increase was found in the COPM performance and satisfaction value compared to the pre-treatment value (p<0.001). A statistically significant difference was found between pre- and post-treatment mFAI and BI values (p<0.001). Conclusions: Adding task-oriented therapy to the rehabilitation programs of stroke patients will contribute to the improvement of ADL.

The modulation of task relevance on emotion-induced blindness depends on whether targets and distractors belong to the same category.

Previous research on emotion-induced blindness (EIB) argues emotional distractors capture attention in a bottom-up manner due to their physical and emotional salience. However, recent research has shown it is controversial whether EIB will be modulated by top-down factors. The present study further investigated whether the magnitude of EIB would be modulated by top-down factors, specifically the emotional relevance between tasks and distractors. Participants were divided into two groups having the same targets except for different task instructions. The orientation judgment group was asked to judge the orientation of the target (an emotionally irrelevant task), and the emotion judgment group was required to judge the emotional valence of the target (an emotionally relevant task). It was found the emotional relevance between tasks and distractors has no modulation on the magnitudes of EIB in two groups when targets and distractors are from different categories (Experiment 1), but a modulation when they are from the same category (Experiment 2). Consequently, we contend top-down task relevance modulates the EIB effect and distractors' priority is regulated by the emotional relevance between tasks and distractors. The current study holds attentional capture by stimulus-driven is unconditional in EIB, while attentional capture by goal-driven requires certain conditions.

The Production Effect Becomes Spatial.

In the verbal domain, it is well established that words read aloud are better remembered than their silently read counterparts. It has been hypothesized that this production effect stems from the addition of distinctive features, with the caveat that the processing that generates added features interferes with rehearsal. Here, we tested the idea that a similar trade-off is found in the visuospatial domain. In all experiments, a short series of single dots sequentially appeared at various locations on a screen. Participants produced the items by clicking on them at presentation, watched the items appear quietly, or produced an irrelevant click after each item to better even out rehearsal opportunities between produced and control conditions. In Experiment 1, the dots appeared within a visible grid and an order reconstruction task was used. Experiment 2 also called upon reconstruction, but with the grid removed. In Experiments 3, a recall task was used. The results show that producing items hindered performance compared to the control condition. Conversely, production improved performance compared to the control condition where rehearsal was hindered. This is the first demonstration of a visuospatial production effect. The key findings were successfully modeled by the Revised Feature Model (RFM).