Gender differences in aggression: A multiplicative function of outward anger expression.

Individuals with a higher (vs. lower) tendency to outwardly express anger (i.e., greater anger-out) generally exhibit greater aggression; men (vs. women) also tend to be more aggressive. Although the general aggression model posits that multiple person variables trigger aggression, the combined effects of multiple person variables are poorly understood. Thus, the aim of this study was to examine the nature of the relation between gender, anger-out, and reactive aggression. In particular, we were interested in whether the effects of anger-out and gender are additive or multiplicative. Specifically, we tested whether men exhibit higher levels of aggression than women at a consistent ratio across all levels of anger-out (i.e., the multiplicative model) or at a fixed amount depending on the level of anger-out (i.e., the additive interaction model). To this end, undergraduate participants (N = 203) completed a task in which they were falsely instructed that their objective was to respond more quickly than a same-sex opponent. They were told that whoever responded more quickly would administer a white noise burst to the opponent and choose its intensity, which served as our measure of aggression. Compared to an additive interaction model, the multiplicative model exhibited a better fit. Specifically, men displayed proportionately more aggression than women with the same level of anger-out. Research on and treatment for aggression should consider the multiplicative effects of factors related to aggression.

Comorbidity, Functional Impairment, and Emotional Distress: A Coping Mediation Model for Persons With Cancer.

BACKGROUND: Comorbid disease in cancer patients can substantially impact medical care, emotional distress, and mortality. However, there is a paucity of research on how coping may affect the relationship between comorbidity and emotional distress. PURPOSE: The current study investigated whether the relations between comorbidity and emotional distress and between functional impairment and emotional distress were mediated by three types of coping: action planning (AP), support/advice seeking (SAS), and disengagement (DD). METHODS: Four hundred and eighty-three persons with cancer completed a measure of functional impairment (Sickness Impact Profile), the Checklist of Comorbid Conditions, the Brief COPE, the Hospital Anxiety and Depression Scale, the Quality of Life Assessment for Cancer Survivors (Negative Feelings Scale), and the Distress Screening Schedule (Emotional Distress Scale). The latter three measures were used to form a latent construct representing the outcome, emotional distress. RESULTS: Model comparison analysis indicated that the model with DD as a mediator had a better fit than models containing AP and SAS. DD mediated the relationship between functional impairment and emotional distress, so that engaging in DD was associated with greater distress. In addition, comorbidity and functional impairment were directly and positively related to emotional distress, but the relation between comorbidity and distress was not mediated by coping type. CONCLUSIONS: Both comorbidity and functional impairment may be associated with distress, but disengagement coping only mediated the relation involving functional impairment and was positively associated with distress. Future studies can investigate whether teaching active coping or adaptive coping (e.g., through mindfulness exercises) can decrease distress in cancer patients, despite functional impairments.

Emotional response to autobiographical memories in depression: less happiness to positive and more sadness to negative memories.

Retrieving positive autobiographical memories effectively repairs mood in healthy individuals. This is not the case in individuals with Major Depressive Disorder (MDD) possibly due to lower levels of positive emotions elicited by the positive memories. We examined whether the intensity of emotions experienced from recalling the happiest, saddest, and most anxious autobiographical memories differed between individuals with MDD (n = 30) and healthy controls (n = 46). Participants retrieved their happiest, saddest, and most anxious autobiographical memories and rated the emotional intensity experienced at the time of the event and at the time of recall. For all memory types, emotional intensity at the time of the event did not differ between MDD and CTL groups. However, the MDD (vs. CTL) group experienced less happiness recalling their happiest memories, more sadness recalling their saddest memories, and marginally more nervousness recalling their most anxious memories. The CTL group experienced more intense emotions when retrieving happiest (vs. saddest or most anxious) memories. Greater sadness when recalling their saddest memories and less happiness when recalling their happiest memories in the MDD (vs. CTL) group may hinder effective mood regulation and perpetuate negative mood.

Volatile and Nonvolatile Resistive Switching Coexistence in Conductive Point Hexagonal Boron Nitride Monolayer.

Recently, we demonstrated the nonvolatile resistive switching effects of metal-insulator-metal (MIM) atomristor structures based on two-dimensional (2D) monolayers. However, there are many remaining combinations between 2D monolayers and metal electrodes; hence, there is a need to further explore 2D resistance switching devices from material selections to future perspectives. This study investigated the volatile and nonvolatile switching coexistence of monolayer hexagonal boron nitride (h-BN) atomristors using top and bottom silver (Ag) metal electrodes. Utilizing an h-BN monolayer and Ag electrodes, we found that the transition between volatile and nonvolatile switching is attributed to the thickness/stiffness of chain-like conductive bridges between h-BN and Ag surfaces based on the current compliance and atomristor area. Computations indicate a "weak" bridge is responsible for volatile switching, while a "strong" bridge is formed for nonvolatile switching. The current compliance determines the number of Ag atoms that undergo dissociation at the electrode, while the atomristor area determines the degree of electric field localization that forms more stable conductive bridges. The findings of this study suggest that the h-BN atomristor using Ag electrodes shows promise as a potential solution to integrate both volatile neurons and nonvolatile synapses in a single neuromorphic crossbar array structure through electrical and dimensional designs.

Perceptions and impact of patient reviews: a survey of academic dermatologists.

BACKGROUND: Patient reviews (PRs) have emerged as a method to assess patient experiences with healthcare in order to improve the quality of care. Both institutional and third-party organizations collect quantitative data and comments from these patient surveys, usually accessible to the public for review. Our study examined dermatologists' perceptions of PRs and assessed their impact on dermatologists. METHODS: A survey was sent to the Association of Professors of Dermatology listserv (response rate 30%). RESULTS: Most respondents disagreed with the statements that PRs are good for doctors (63%), good for patients (58%), helpful for doctors (58%), or that high PRs indicate being a good doctor (65%). The majority disagreed that PRs should be available publicly (60%). Respondents agreed that PRs contribute to depersonalization (60%), energy depletion or exhaustion (55%), added stress at work (70%), negativism/cynicism about work (60%), and diminished professional efficacy (29%). Self-identified female respondents were more likely to agree that PRs added stress to work compared to self-identified males (66% vs. 42%, P < 0.05). CONCLUSIONS: Overall, these findings suggest that PRs may negatively impact dermatologists' well-being and perceived stress levels.

Improved Diagnostic Accuracy of Thyroid Fine-Needle Aspiration Cytology with Artificial Intelligence Technology.

Background: Artificial intelligence (AI) is increasingly being applied in pathology and cytology, showing promising results. We collected a large dataset of whole slide images (WSIs) of thyroid fine-needle aspiration cytology (FNA), incorporating z-stacking, from institutions across the nation to develop an AI model. Methods: We conducted a multicenter retrospective diagnostic accuracy study using thyroid FNA dataset from the Open AI Dataset Project that consists of digitalized images samples collected from 3 university hospitals and 215 Korean institutions through extensive quality check during the case selection, scanning, labeling, and reviewing process. Multiple z-layer images were captured using three different scanners and image patches were extracted from WSIs and resized after focus fusion and color normalization. We pretested six AI models, determining Inception ResNet v2 as the best model using a subset of dataset, and subsequently tested the final model with total datasets. Additionally, we compared the performance of AI and cytopathologists using randomly selected 1031 image patches and reevaluated the cytopathologists' performance after reference to AI results. Results: A total of 10,332 image patches from 306 thyroid FNAs, comprising 78 malignant (papillary thyroid carcinoma) and 228 benign from 86 institutions were used for the AI training. Inception ResNet v2 achieved highest accuracy of 99.7%, 97.7%, and 94.9% for training, validation, and test dataset, respectively (sensitivity 99.9%, 99.6%, and 100% and specificity 99.6%, 96.4%, and 90.4% for training, validation, and test dataset, respectively). In the comparison between AI and human, AI model showed higher accuracy and specificity than the average expert cytopathologists beyond the two-standard deviation (accuracy 99.71% [95% confidence interval (CI), 99.38-100.00%] vs. 88.91% [95% CI, 86.99-90.83%], sensitivity 99.81% [95% CI, 99.54-100.00%] vs. 87.26% [95% CI, 85.22-89.30%], and specificity 99.61% [95% CI, 99.23-99.99%] vs. 90.58% [95% CI, 88.80-92.36%]). Moreover, after referring to the AI results, the performance of all the experts (accuracy 96%, 95%, and 96%, respectively) and the diagnostic agreement (from 0.64 to 0.84) increased. Conclusions: These results suggest that the application of AI technology to thyroid FNA cytology may improve the diagnostic accuracy as well as intra- and inter-observer variability among pathologists. Further confirmatory research is needed.

Emotionality effects in Korean visual word recognition: Evidence from lab-based and web-based lexical decision tasks.

Previous studies have shown that processes of word recognition are influenced by the emotional content of a word. This pattern is most readily explained by the motivated attention and affective states model (Lang, Bradley & Cuthbert, 1997), which states that emotional stimuli are motivationally significant and capture attention. Drawing on this theoretical account, the current study compared lexical decision response times to positive and negative emotion words versus neutral words across two experimental environments - a traditional lab-based environment and a web-based environment. In addition, the experiment was conducted using Korean words presented to native Korean speakers in order to test whether the emotionality effect emerges in a non-English language. The results revealed faster response times to emotion words versus neutral words across both experimental environments with no evidence of a difference between the two environments. These findings provide important evidence that emotion words successfully attract attention and facilitate word processing even in situations where participants might be more easily distracted than they would be in a traditional lab setting. This work also constitutes the first demonstration of an emotionality effect in Korean word recognition, thus providing further evidence that the emotionality effect may be a language-universal phenomenon.

Effect of Nefopam on Dysesthesia, Postoperative Pain, and Satisfaction in Patients with Lumbar Spinal Stenosis Undergoing Spine Surgery: A Double-Blind, Randomized Study.

Postoperative residual pain and dysesthesia in patients with lumbar spinal stenosis (LSS) can reduce patient satisfaction. We investigated the effects of nefopam on dysesthesia, postoperative pain, and satisfaction in patients with LSS who underwent spine surgery. A total of 73 patients were randomly assigned to two groups: the nefopam group (n = 35), receiving a 20 mL normal saline-based solution containing nefopam 20 mg, and the control group (n = 38), which received 20 mL of normal saline 1 h before the end of the operation. Postoperative incisional pain, dysesthesia scores, and overall satisfaction with postoperative pain management were evaluated. The severity of dysesthesia within 12 and 24 h in the nefopam group was significantly lower than that in the control group (2.3 ± 1.9 and 1.7 ± 1.6 vs. 3.3 ± 2.1, and 2.6 ± 1.9, respectively; p = 0.029 and p = 0.048). Satisfaction scores for postoperative pain management were significantly higher in the nefopam group (3.7 ± 0.6 vs. 3.1 ± 1.0, respectively; p = 0.006). The administration of nefopam effectively reduced the severity of dysesthesia within 24 h of surgery in geriatric patients undergoing spine surgery and increased patient satisfaction with postoperative pain management.

Deep Learning-Based Computational Cytopathologic Diagnosis of Metastatic Breast Carcinoma in Pleural Fluid.

A Pleural effusion cytology is vital for treating metastatic breast cancer; however, concerns have arisen regarding the low accuracy and inter-observer variability in cytologic diagnosis. Although artificial intelligence-based image analysis has shown promise in cytopathology research, its application in diagnosing breast cancer in pleural fluid remains unexplored. To overcome these limitations, we evaluate the diagnostic accuracy of an artificial intelligence-based model using a large collection of cytopathological slides, to detect the malignant pleural effusion cytology associated with breast cancer. This study includes a total of 569 cytological slides of malignant pleural effusion of metastatic breast cancer from various institutions. We extracted 34,221 augmented image patches from whole-slide images and trained and validated a deep convolutional neural network model (DCNN) (Inception-ResNet-V2) with the images. Using this model, we classified 845 randomly selected patches, which were reviewed by three pathologists to compare their accuracy. The DCNN model outperforms the pathologists by demonstrating higher accuracy, sensitivity, and specificity compared to the pathologists (81.1% vs. 68.7%, 95.0% vs. 72.5%, and 98.6% vs. 88.9%, respectively). The pathologists reviewed the discordant cases of DCNN. After re-examination, the average accuracy, sensitivity, and specificity of the pathologists improved to 87.9, 80.2, and 95.7%, respectively. This study shows that DCNN can accurately diagnose malignant pleural effusion cytology in breast cancer and has the potential to support pathologists.

Increase in body temperature in pediatric patients after costal cartilage harvest in microtia reconstruction: A retrospective observational study.

BACKGROUND: Previous evidence has clearly shown that maintaining normothermia in children undergoing surgery is difficult and is associated with adverse outcomes. Therefore, this study aimed to retrospectively analyze the changes in body temperature over time in 2 different types of microtia reconstruction surgeries, namely, embedding, and elevation surgeries. METHODS: We performed a retrospective chart review of patients who underwent microtia reconstruction (embedding and elevation) between July 2012 and February 2015 (n = 38). The changes in body temperature between the 2 types of surgeries were compared. RESULTS: During microtia reconstruction, the body temperature in the embedding surgery group was significantly higher than that in the elevation surgery group from 1 hour after the start of surgery to 1 day after the surgery (P < .001). Time, group, and time-group interaction were associated with an increase in body temperature (P < .001) but not the warming method. CONCLUSION: We found an increase in body temperature in patients with microtia who underwent embedding surgery (autologous costal cartilage harvest surgery), and this was related to the type of surgery and not to the warming method. Therefore, further research is warranted to determine the cause of the increase in body temperature during this surgery.

Physiological sensation word usage in social anxiety disorder with and without comorbid depression.

BACKGROUND & OBJECTIVES: Social anxiety disorder (SAD) is characterized by a fear of showing anxiety symptoms, which may manifest in greater physiological sensation (PS) word usage, especially when describing their anxious experiences. However, the role of comorbid major depressive disorder (MDD) is unknown. Given blunted physiological arousal in MDD, the SAD only group (SAD) may use more PS words than the comorbid (COM) group with SAD and MDD when discussing anxious memories. Due to more severe symptomology, however, the COM group may use more PS words than the SAD group. We examined these competing hypotheses. METHODS: The SAD (n = 30), COM (n = 19), and control (CTL; n = 30) groups recalled their happiest, saddest, and most anxious events. The proportion of PS words was examined. RESULTS: The SAD group used significantly more PS words than the CTL group, whose PS words did not differ significantly from the COM group; the SAD group used marginally more PS words than the COM group. Anxious memories contained significantly more PS words than happiest and saddest memories. Happiest and saddest memories did not significantly differ in PS words. LIMITATIONS: The PS words list was created by the authors, and a LIWC dictionary was not used. CONCLUSIONS: Blunted physiological arousal in MDD may have contributed to lower PS word usage in the COM group than the SAD group. Understanding linguistic differences between these groups may provide clinicians with insight into these individuals' preoccupations with bodily sensations that may maintain or exacerbate symptoms of anxiety.

Effects of Print Exposure on an Online Lexical Decision Task: A Direct Replication Using a Web-Based Experimental Procedure.

Due to the global pandemic, behavioral sciences including psychology that have traditionally relied on face-to-face data collection methods are facing a crisis. Given these circumstances, the present study was designed as a web-based replication of the findings reported in Lee et al. (2019) on the relationship between print exposure measured by the Korean Author Recognition Test (KART) and online measures of word processing using the lexical decision task and offline measures of language ability. We used the PsychoPy3 and Pavlovia platform in which participants were presented with a series of tasks in an entirely web-based environment. We found that scores on the KART were correlated with scores on a measure of language skills as well as self-reported reading habits. In addition, KART scores modulated the word frequency effect in the lexical decision task such that participants with higher KART scores tended to have smaller frequency effects. These results were highly consistent with previous lab-based studies including Lee et al. indicating that web-based experimental procedures are a viable alternative to lab-based face-to-face experiments.