Improving the closing sequences of interaction between human and robot through conversation analysis.

This study employs Conversation Analysis to create a recursive model that improves the quality of human-robot interaction. Our research goal is to create a dialogue robot that offers pleasant experiences for users, so they are willing to engage in repeated interactions in daily lives. While there has been dramatic progress in the performance of dialogue robots, there has been less attention to the importance of users' interactional experience compared to the "specs" of the dialogue system.

Cybernetic avatars: Teleoperation technologies from in-body monitoring to social interaction.

Cybernetic avatars integrate physical and virtual avatars to enhance human capabilities in diverse scales and contexts.

Enhanced CFTR modulator efficacy in ΔF508 CFTR mouse organoids by ablation of RFFL ubiquitin ligase.

The most common CFTR mutant in cystic fibrosis (CF), ΔF508 CFTR, is eliminated by ubiquitination even in the presence of CF drugs, reducing their therapeutic efficacy. RFFL is one of the ubiquitin ligases that remove ΔF508 CFTR from the cell surface despite treatment with the triple combination of CFTR modulators (TEZ/ELX/IVA) used clinically. Although RFFL knockdown has been shown to enhance the efficacy of TEZ/ELX/IVA in cell culture models, its impact in mouse models has not been evaluated.

Prognostic value of the 21-Gene Breast Recurrence Score® assay for hormone receptor-positive/human epidermal growth factor 2-negative advanced breast cancer: subanalysis from Japan Breast Cancer Research Group-M07 (FUTURE trial).

Purpose: This study aimed to determine whether the 21-Gene Breast Recurrence Score® assay from primary breast tissue predicts the prognosis of patients with hormone receptor-positive and human epidermal growth factor 2-negative advanced breast cancers (ABCs) treated with fulvestrant monotherapy (Group A) and the addition of palbociclib combined with fulvestrant (Group B), which included those who had progression in Group A from the Japan Breast Cancer Research Group-M07 (FUTURE trial).

Methods: Progression-free survival (PFS) and overall survival (OS) were compared using the log-rank test and Cox regression analysis based on original recurrence score (RS) categories (Low: 0-17, Intermediate: 18-30, High: 31-100) by treatment groups (A and B) and types of ABCs (recurrence and de novo stage IV).

Results: In total, 102 patients [Low: n = 44 (43.

Dissociable Neural Mechanisms for Human Inference Processing Predicted by Static and Contextual Language Models.

Language models (LMs) continue to reveal non-trivial relations to human language performance and the underlying neurophysiology. Recent research has characterized how word embeddings from an LM can be used to generate integrated discourse representations in order to perform inference on events. The current research investigates how such event knowledge may be coded in distinct manners in different classes of LMs and how this maps onto different forms of human inference processing.

Subclinical myocardial damage after anthracycline chemotherapy in Japanese patients with breast cancer.

Background: Data on the incidence, timing, and severity of myocardial damage after anthracycline-based chemotherapy (AC) in Japanese patients with breast cancer are limited.

Method: We evaluated cancer therapy-related cardiac dysfunction (CTRCD) in Japanese women with breast cancer (n = 51) after the first AC according to the definitions of the 2022 European Society of Cardiology onco-cardiology guideline, including assessment of high-sensitivity troponin I (TnI) and B-type natriuretic peptide (BNP) levels.

Results: CTRCD was detected in 67 % of the patients (3.

Opinion attribution improves motivation to exchange subjective opinions with humanoid robots.

In recent years, the development of robots that can engage in non-task-oriented dialogue with people, such as chat, has received increasing attention. This study aims to clarify the factors that improve the user's willingness to talk with robots in non-task oriented dialogues (e.g.

Self-administered questionnaires enhance emotion estimation of individuals with autism spectrum disorders in a robotic interview setting.

Background: Robots offer many unique opportunities for helping individuals with autism spectrum disorders (ASD). Determining the optimal motion of robots when interacting with individuals with ASD is important for achieving more natural human-robot interactions and for exploiting the full potential of robotic interventions. Most prior studies have used supervised machine learning (ML) of user behavioral data to enable robot perception of affective states (i.

Therapeutic potential of robots for people who stutter: a preliminary study.

Introduction: Growing anecdotal evidence suggests the feasibility of robotic intervention for people who suffer from disorders related to state anxiety. Few studies have been conducted on utilizing robots for persons who stutter (PWS). The present study examines the feasibility of using a robot for speech therapy for PWS.

Comprehensive prognostic prediction of metastatic breast cancer treated with eribulin using blood‑based parameters and ratio.

Eribulin is widely used to treat metastatic breast cancer (BC). Higher neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are associated with higher mortality in several cancer types. However, the association between BC prognosis and peripheral immune status remains controversial.

Social robot for older adults with cognitive decline: a preliminary trial.

The number of older adults living alone is rapidly increasing. Loneliness in older adults not only degrade their quality of life but also causes troubles such as heavy burden on the medical staff, especially when cognitive decline is present. Social robots could be used in several ways to reduce such problems.

Human-like interactions prompt people to take a robot's perspective.

The increasing need for human-robot interaction requires not only robots to understand how humans think, but also humans to understand robots. Interestingly, little attention has been given to how humans interpret robots' behaviors. In this study, we adopted a social mental rotation task and investigated whether socially engaging behaviors could influence how people take a robot's perspectives.

A risk-based subgroup analysis of the effect of adjuvant S-1 in estrogen receptor-positive, HER2-negative early breast cancer.

Purpose: The Phase III POTENT trial demonstrated the efficacy of adding S-1 to adjuvant endocrine therapy for estrogen receptor-positive, HER2-negative early breast cancer. We investigated the efficacy of S-1 across different recurrence risk subgroups.

Methods: This was a post-hoc exploratory analysis of the POTENT trial.

Social skills training using multiple humanoid robots for individuals with autism spectrum conditions.

Introduction: Social skills training (SST) is used to help individuals with autism spectrum conditions (ASC) better understand the perspectives of others and social interactions, develop empathy skills, and learn how to engage with others socially. However, many individuals with ASC cannot easily sustain high motivation and concentration during such an intervention when it is administered by humans. We developed a social skills training program using multiple humanoid robots (STUH), including an android robot, that aimed to enable individuals with ASC to become familiar with the perspectives of others and improve their sociability and empathy skills.

Influence of collaborative customer service by service robots and clerks in bakery stores.

In recent years, various service robots have been deployed in stores as recommendation systems. Previous studies have sought to increase the influence of these robots by enhancing their social acceptance and trust. However, when such service robots recommend a product to customers in real environments, the effect on the customers is influenced not only by the robot itself, but also by the social influence of the surrounding people such as store clerks.