Non-Compositionality in Sentiment: New Data and Analyses

When natural language phrases are combined, their meaning is often more than the sum of their parts. In the context of NLP tasks such as sentiment analysis, where the meaning of a phrase is its sentiment, that still applies. Many NLP studies on sentiment analysis, however, focus on the fact that sentiment computations are largely compositional. We, instead, set out to obtain non-compositionality ratings for phrases with respect to their sentiment. Our contributions are as follows: a) a methodology for obtaining those non-compositionality ratings, b) a resource of ratings for 259 phrases -- NonCompSST -- along with an analysis of that resource, and c) an evaluation of computational models for sentiment analysis using this new resource.Comment: Published in EMNLP Findings 2023; 13 pages total (5 in the main paper, 3 pages with limitations, acknowledgments and references, 5 pages with appendices

Magneto-optical characterization of MnxGe1-x alloys obtained by ion implantation

Magneto-optical Kerr effect hysteresis loops at various wavelengths in the visible/near-infrared range have been used to characterize the magnetic properties of alloys obtained by implanting Mn ions at fixed energy in a Ge matrix. The details of the hysteresis loops reveal the presence of multiple magnetic contributions. They may be attributed to the inhomogeneous distribution of the magnetic atoms and, in particular, to the known coexistence of diluted Mn in the Ge matrix and metallic Mn-rich nanoparticles embedded in it [Phys. Rev. B 73, 195207(2006)].Comment: 2 pages, 2 figures. Proceeding of the International Conference on Magnetism. Kyoto, August 20-25 200

Joint Attention and Occupations for Children and Families Living with Autism Spectrum Disorder: A Scoping Review

Background: Research reports that children living with autism spectrum disorder (ASD) may demonstrate deficits in social, emotional, behavioral, and communication skills, which adversely affect social participation and occupational engagement. Joint attention skills constitute any nonverbal communication that captures the attention of another to create a shared interactional experience. The components of joint attention can be targeted through intervention to promote occupational engagement in childhood co-occupations. Methods: A scoping review process was applied in the current study. Nineteen studies met the inclusion criteria to be analyzed through critical appraisal of topics and use of a matrix. Results: Evidence indicates that joint attention skills can be developed in children living with ASD through targeted teaching interventions. Analysis of the data elucidated emergent themes in the form of commonly used strategies to develop joint attention skills in children living with ASD. Conclusion: Joint attention teaching strategies can be implemented to develop social interaction performance skills in children living with ASD. The benefits of developing joint attention skills in this population directly relate to improved occupational and co-occupational engagement. Joint attention teaching strategies naturally align with occupational therapy techniques and approaches and should be considered as an enhancement to occupational therapy intervention

The effect of orthodontic treatment on smile attractiveness: a systematic review.

BACKGROUND Smile attractiveness is a primary factor for patients to seek orthodontic treatment, however, there is yet no systematic evaluation of this topic in the literature. OBJECTIVES To assess the current evidence on the effect of orthodontic treatment on smile attractiveness. SEARCH METHODS Seven electronic databases (MEDLINE, Cochrane Library, Virtual Health Library, SCOPUS, Web of Science, Google Scholar and Embase) were searched on 14 September 2022. SELECTION CRITERIA Studies evaluating smile attractiveness before and after orthodontic treatment or only after completion of orthodontic treatment. DATA COLLECTION AND ANALYSIS Extracted data included study design and setting, sample size and demographics, malocclusion type, treatment modality and method for outcome assessment. Risk of bias was assessed with the ROBINS-I tool for non-randomised studies. Random-effects meta-analyses of mean differences and their 95% confidence intervals (CIs) were planned a priori. METHODS After elimination of duplicate studies, data extraction and risk of bias assessment according to the Cochrane guidelines, an evaluation of the overall evidence was performed. The included studies were evaluated based on the characteristics of their study and control groups and based on their main research question. Also, all outcome measures were standardized into a common assessment scale (0-100), in order to obtain more easily interpretable results. RESULTS Ten studies were included in this review, nine of which were assessed as being at serious risk of bias and one at moderate risk of bias. The large heterogeneity between the included studies did not allow for a meta-analysis. Orthodontic treatment has a moderately positive effect on smile attractiveness. When compared to no treatment, orthodontic treatment with premolar extractions improves smile attractiveness by 22%. Also, surgical correction of Class III cases increases smile attractiveness by 7.5% more than camouflage treatment. No other significant differences were shown between different types of treatment. CONCLUSION Based on the available data, orthodontic treatment seems to moderately improve the attractiveness of the smile. There is significant bias in the current literature assessing the effect of orthodontics on smile attractiveness; therefore, the results cannot be accepted with certainty

Minimization of defects generation in laser welding process of steel alloy for automotive application

Laser welding (LW) thanks to its flexibility, limited energy consumption and simple realization has a prominent role in several industrial sectors. LW process requires careful parameters' tuning to avoid generating internal defects in the microstructure or a poor weld depth, which reduce the joining mechanical strength and result in waste. This work exploits a supervised machine learning algorithm to optimize the process parameters to minimize the generated defects, while catering for design specifications and tolerances to predict defect generation probability. The work outputs a predictive quality control model to reduce non-destructive controls in the LW of aluminum for automotive applications

Expressive Art to Facilitate the Development of the Occupational Profile: A Scoping Review

Background. The American Occupational Therapy Association and the American Medical Association have changed CPT codes to require a completed occupational profile at every evaluation and re-evaluation session for reimbursement as of January 1, 2017. A revitalization of art in occupational therapy has led to a recent increase in the evidence supporting the use of expressive art in practice. The benefits of expressive art can directly enhance the occupational profile required by these changing reimbursement requirements. Methods. A scoping review method was applied in the current study. Out of 347 initial articles, 12 met the inclusion criteria and were analyzed through critical appraisal of topics and use of a matrix. Results. Analysis of the data elucidated emergent themes of expressive art’s positive effects on verbal communication, the client’s therapeutic reflection, the accuracy of information, the clinician’s use of prompting, the therapeutic relationship, and client engagement. Conclusion. Expressive art can strengthen the occupational profile and information-gathering process. The benefits related to using art in occupational therapy may enhance the complexity of the overall evaluation process, as described by newly changing CPT codes. Expressive art techniques can facilitate the development of client-centered goals and individualized intervention planning, creating an overall positive service delivery process