Probing the Representational Structure of Regular Polysemy via Sense Analogy Questions: Insights from Contextual Word Vectors.

Regular polysemes are sets of ambiguous words that all share the same relationship between their meanings, such as CHICKEN and LOBSTER both referring to an animal or its meat. To probe how a distributional semantic model, here exemplified by bidirectional encoder representations from transformers (BERT), represents regular polysemy, we analyzed whether its embeddings support answering sense analogy questions similar to "is the mapping between CHICKEN (as an animal) and CHICKEN (as a meat) similar to that which maps between LOBSTER (as an animal) to LOBSTER (as a meat)?" We did so using the LRcos model, which combines a logistic regression classifier of different categories (e.g., animal vs. meat) with a measure of cosine similarity. We found that (a) the model was sensitive to the shared structure within a given regular relationship; (b) the shared structure varies across different regular relationships (e.g., animal/meat vs. location/organization), potentially reflective of a "regularity continuum;" (c) some high-order latent structure is shared across different regular relationships, suggestive of a similar latent structure across different types of relationships; and (d) there is a lack of evidence for the aforementioned effects being explained by meaning overlap. Lastly, we found that both components of the LRcos model made important contributions to accurate responding and that a variation of this method could yield an accuracy boost of 10% in answering sense analogy questions. These findings enrich previous theoretical work on regular polysemy with a computationally explicit theory and methods, and provide evidence for an important organizational principle for the mental lexicon and the broader conceptual knowledge system.

Development of Thermoresponsive Protein Complexes for Targeting CD20 Receptors.

Therapeutics targeting cell receptors can elicit biological responses in situ. However, the ability to dictate when and where these responses occur is a current challenge. Therapeutic proteins can be combined with stimuli-responsive peptides to increase targeting and stimuli responsive behavior. To this end the authors genetically engineered an elastinlike polypeptide (ELP) fusion protein for selective ELPylation. The addition of a charged, foldable region provides these protein subunits with varied thermoresponsive properties from their parent ELPs. These subunits have responsive secondary structures, dependent on pH, indicating the capability to form coiled-coils with a complementary peptide tag. A Rituximab conjugate is generated herein, containing the complementary peptide. Upon mixing of the ELP and Rituximab subunits, the resulting protein complexes can target CD20 receptors on Raji B cells, resulting in at least twofold increase in mean fluorescent intensities. These ELP subunits fold in vitro with the complimentary generated Rituximab conjugate. This work provides the basis for the design of a therapeutic stimuli-responsive biomacromolecule for targeting receptors.

Lexico-semantic access and audiovisual integration in the aging brain: Insights from mixed-effects regression analyses of event-related potentials.

We investigated how aging modulates lexico-semantic processes in the visual (seeing written items), auditory (hearing spoken items) and audiovisual (seeing written items while hearing congruent spoken items) modalities. Participants were young and older adults who performed a delayed lexical decision task (LDT) presented in blocks of visual, auditory, and audiovisual stimuli. Event-related potentials (ERPs) revealed differences between young and older adults despite older adults' ability to identify words and pseudowords as accurately as young adults. The observed differences included more focalized lexico-semantic access in the N400 time window in older relative to young adults, stronger re-instantiation and/or more widespread activity of the lexicality effect at the time of responding, and stronger multimodal integration for older relative to young adults. Our results offer new insights into how functional neural differences in older adults can result in efficient access to lexico-semantic representations across the lifespan.

Suspected orbital myositis associated with COVID-19.

A 44-year-old male patient developed proptosis, edema, and erythema progressing to complete ptosis and supraduction deficit 2 days after positive COVID-19 test. He failed to improve on systemic antibiotics. MRI showed thickening and T2 enhancement of the superior rectus/levator complex consistent with orbital myositis. He improved on intravenous corticosteroids and experienced continued gradual improvement on oral steroids.

Probing Lexical Ambiguity: Word Vectors Encode Number and Relatedness of Senses.

Lexical ambiguity-the phenomenon of a single word having multiple, distinguishable senses-is pervasive in language. Both the degree of ambiguity of a word (roughly, its number of senses) and the relatedness of those senses have been found to have widespread effects on language acquisition and processing. Recently, distributional approaches to semantics, in which a word's meaning is determined by its contexts, have led to successful research quantifying the degree of ambiguity, but these measures have not distinguished between the ambiguity of words with multiple related senses versus multiple unrelated meanings. In this work, we present the first assessment of whether distributional meaning representations can capture the ambiguity structure of a word, including both the number and relatedness of senses. On a very large sample of English words, we find that some, but not all, distributional semantic representations that we test exhibit detectable differences between sets of monosemes (unambiguous words; N = 964), polysemes (with multiple related senses; N = 4,096), and homonyms (with multiple unrelated senses; N = 355). Our findings begin to answer open questions from earlier work regarding whether distributional semantic representations of words, which successfully capture various semantic relationships, also reflect fine-grained aspects of meaning structure that influence human behavior. Our findings emphasize the importance of measuring whether proposed lexical representations capture such distinctions: In addition to standard benchmarks that test the similarity structure of distributional semantic models, we need to also consider whether they have cognitively plausible ambiguity structure.

Lexical access versus lexical decision processes for auditory, visual, and audiovisual items: Insights from behavioral and neural measures.

In two experiments, we investigated the relationship between lexical access processes, and processes that are specifically related to making lexical decisions. In Experiment 1, participants performed a standard lexical decision task in which they had to respond as quickly and as accurately as possible to visual (written), auditory (spoken) and audiovisual (written + spoken) items. In Experiment 2, a different group of participants performed the same task but were required to make responses after a delay. Linear mixed effect models on reaction times and single trial Event-Related Potentials (ERPs) revealed that ERP lexicality effects started earlier in the visual than auditory modality, and that effects were driven by the written input in the audiovisual modality. More negative ERP amplitudes predicted slower reaction times in all modalities in both experiments. However, these predictive amplitudes were mainly observed within the window of the lexicality effect in Experiment 1 (the speeded task), and shifted to post-response-probe time windows in Experiment 2 (the delayed task). The lexicality effects lasted longer in Experiment 1 than in Experiment 2, and in the delayed task, we additionally observed a "re-instantiation" of the lexicality effect related to the delayed response. Delaying the response in an otherwise identical lexical decision task thus allowed us to separate lexical access processes from processes specific to lexical decision.

Statistical learning research: A critical review and possible new directions.

Statistical learning (SL) is involved in a wide range of basic and higher-order cognitive functions and is taken to be an important building block of virtually all current theories of information processing. In the last 2 decades, a large and continuously growing research community has therefore focused on the ability to extract embedded patterns of regularity in time and space. This work has mostly focused on transitional probabilities, in vision, audition, by newborns, children, adults, in normal developing and clinical populations. Here we appraise this research approach and we critically assess what it has achieved, what it has not, and why it is so. We then center on present SL research to examine whether it has adopted novel perspectives. These discussions lead us to outline possible blueprints for a novel research agenda. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

How are visual words represented? Insights from EEG-based visual word decoding, feature derivation and image reconstruction.

Investigations into the neural basis of reading have shed light on the cortical locus and the functional role of visual-orthographic processing. Yet, the fine-grained structure of neural representations subserving reading remains to be clarified. Here, we capitalize on the spatiotemporal structure of electroencephalography (EEG) data to examine if and how EEG patterns can serve to decode and reconstruct the internal representation of visually presented words in healthy adults. Our results show that word classification and image reconstruction were accurate well above chance, that their temporal profile exhibited an early onset, soon after 100 ms, and peaked around 170 ms. Further, reconstruction results were well explained by a combination of visual-orthographic word properties. Last, systematic individual differences were detected in orthographic representations across participants. Collectively, our results establish the feasibility of EEG-based word decoding and image reconstruction. More generally, they help to elucidate the specific features, dynamics, and neurocomputational principles underlying word recognition.

Isolated Langerhans Cell Histiocytosis of the Lacrimal Gland in Conjunction With Mucosa-Associated Lymphoid Tissue Lymphoma and Elevated IgG4 Plasma Cells.

Langerhans cell histiocytosis (LCH) is a clonal neoplastic proliferation of Langerhans-type cells. Orbital LCH is infrequent, typically manifesting as an isolated lytic bony lesion with an adjacent soft tissue mass in a child. Isolated lacrimal gland involvement by LCH is extremely rare, with only 2 previously reported cases. The authors describe a 37-year-old woman with a 6-month history of painless right upper eyelid swelling and diffuse right lacrimal gland enlargement without bony changes on computed tomography scan. Excisional biopsy of the lacrimal gland demonstrated concurrent LCH, extranodal marginal zone B-cell lymphoma of mucosa-associated lymphoid tissue, and increased IgG4-expressing plasma cells. Work-up was negative for systemic hematolymphoid malignancy and IgG4-related disease. This case illustrates the association between LCH, mucosa-associated lymphoid tissue lymphoma, and elevated IgG4 plasma cells in the lacrimal gland, and we review the emerging theories proposed to explain this phenomenon.

What exactly is learned in visual statistical learning? Insights from Bayesian modeling.

It is well documented that humans can extract patterns from continuous input through Statistical Learning (SL) mechanisms. The exact computations underlying this ability, however, remain unclear. One outstanding controversy is whether learners extract global clusters from the continuous input, or whether they are tuned to local co-occurrences of pairs of elements. Here we adopt a novel framework to address this issue, applying a generative latent-mixture Bayesian model to data tracking SL as it unfolds online using a self-paced learning paradigm. This framework not only speaks to whether SL proceeds through computations of global patterns versus local co-occurrences, but also reveals the extent to which specific individuals employ these computations. Our results provide evidence for inter-individual mixture, with different reliance on the two types of computations across individuals. We discuss the implications of these findings for understanding the nature of SL and individual-differences in this ability.

A comparison of homonym meaning frequency estimates derived from movie and television subtitles, free association, and explicit ratings.

Most words are ambiguous, with interpretation dependent on context. Advancing theories of ambiguity resolution is important for any general theory of language processing, and for resolving inconsistencies in observed ambiguity effects across experimental tasks. Focusing on homonyms (words such as bank with unrelated meanings EDGE OF A RIVER vs. FINANCIAL INSTITUTION), the present work advances theories and methods for estimating the relative frequency of their meanings, a factor that shapes observed ambiguity effects. We develop a new method for estimating meaning frequency based on the meaning of a homonym evoked in lines of movie and television subtitles according to human raters. We also replicate and extend a measure of meaning frequency derived from the classification of free associates. We evaluate the internal consistency of these measures, compare them to published estimates based on explicit ratings of each meaning's frequency, and compare each set of norms in predicting performance in lexical and semantic decision mega-studies. All measures have high internal consistency and show agreement, but each is also associated with unique variance, which may be explained by integrating cognitive theories of memory with the demands of different experimental methodologies. To derive frequency estimates, we collected manual classifications of 533 homonyms over 50,000 lines of subtitles, and of 357 homonyms across over 5000 homonym-associate pairs. This database-publicly available at: www.blairarmstrong.net/homonymnorms/ -constitutes a novel resource for computational cognitive modeling and computational linguistics, and we offer suggestions around good practices for its use in training and testing models on labeled data.

Reversible Charles Bonnet Syndrome After Oculoplastic Procedures.

Individuals with Charles Bonnet syndrome (CBS) typically have severe visual loss and experience visual hallucinations yet have no psychiatric disease. Visual impairment often is due to end-stage glaucoma or macular degeneration. We report 3 cases of CBS in patients who underwent an oculoplastic surgical procedure. One patient experienced binocular visual distortion due to excessive topical ophthalmic ointment, and 2 patients experienced monocular visual impairment from patching. Visual hallucinations resolved once vision returned to baseline. We highlight the possibility of transient CBS in postoperative patients who have temporary iatrogenic vision impairment in one or both eyes.

Cosmetic Adolescent Filler: An Innovative Treatment of the "Selfie" Complex.

PURPOSE: "Selfie" photography is increasing among teenagers, accentuates congenital anomalies, and impacts self-confidence. Tear trough deformity is most commonly due to aging, but also occurs as a congenital anomaly and can be a major source of insecurity and embarrassment. OBJECTIVE: The purpose of this study is to show the efficacy and safety of hyaluronic acid gel filler in a teenage patient with congenital tear trough deformity. MATERIAL AND METHOD: We describe the case of a teenager who underwent hyaluronic acid gel filling to the tear trough deformity at age 14 years. Prospective follow up was assessed for 5 years. RESULTS: The patient improved clinical appearance and self confidence. Her satisfaction level was high, and no complication occurred during entire follow up. CONCLUSION: In this case, hyaluronic gel acid filler was safe and effective for augmentation of congenital tear trough. The patient was satisfied and experienced increased self-esteem.

Cross-modal noise compensation in audiovisual words.

Perceiving linguistic input is vital for human functioning, but the process is complicated by the fact that the incoming signal is often degraded. However, humans can compensate for unimodal noise by relying on simultaneous sensory input from another modality. Here, we investigated noise-compensation for spoken and printed words in two experiments. In the first behavioral experiment, we observed that accuracy was modulated by reaction time, bias and sensitivity, but noise compensation could nevertheless be explained via accuracy differences when controlling for RT, bias and sensitivity. In the second experiment, we also measured Event Related Potentials (ERPs) and observed robust electrophysiological correlates of noise compensation starting at around 350 ms after stimulus onset, indicating that noise compensation is most prominent at lexical/semantic processing levels.

Generalization from newly learned words reveals structural properties of the human reading system.

Connectionist accounts of quasiregular domains, such as spelling-sound correspondences in English, represent exception words (e.g., pint) amid regular words (e.g., mint) via a graded "warping" mechanism. Warping allows the model to extend the dominant pronunciation to nonwords (regularization) with minimal interference (spillover) from the exceptions. We tested for a behavioral marker of warping by investigating the degree to which participants generalized from newly learned made-up words, which ranged from sharing the dominant pronunciation (regulars), a subordinate pronunciation (ambiguous), or a previously nonexistent (exception) pronunciation. The new words were learned over 2 days, and generalization was assessed 48 hr later using nonword neighbors of the new words in a tempo naming task. The frequency of regularization (a measure of generalization) was directly related to degree of warping required to learn the pronunciation of the new word. Simulations using the Plaut, McClelland, Seidenberg, and Patterson (1996) model further support a warping interpretation. These findings highlight the need to develop theories of representation that are integrally tied to how those representations are learned and generalized. (PsycINFO Database Record

Giant Ocular Horn Occurring in a 10-Year-Old Female.

Cutaneous horns uncommonly involve the periocular region. Involvement of the ocular surface is particularly rare. The authors present a patient who underwent a perinatal buccal mucosal graft for corneal perforation due to congenital corneal ectasia, most likely resulting from Peters anomaly. She developed a giant ocular horn 10 years later.

Chronset: An automated tool for detecting speech onset.

The analysis of speech onset times has a longstanding tradition in experimental psychology as a measure of how a stimulus influences a spoken response. Yet the lack of accurate automatic methods to measure such effects forces researchers to rely on time-intensive manual or semiautomatic techniques. Here we present Chronset, a fully automated tool that estimates speech onset on the basis of multiple acoustic features extracted via multitaper spectral analysis. Using statistical optimization techniques, we show that the present approach generalizes across different languages and speaker populations, and that it extracts speech onset latencies that agree closely with those from human observations. Finally, we show how the present approach can be integrated with previous work (Jansen & Watter Behavior Research Methods, 40:744-751, 2008) to further improve the precision of onset detection. Chronset is publicly available online at www.bcbl.eu/databases/chronset .

Partial Orbicularis Resection for the Augmentation of Traditional Internal Brow Pexy: The "Tuck and Rise".

PURPOSE: Brow ptosis commonly occurs with aging. Minimally invasive techniques are varied and include neurotoxin paralysis of eyebrow depressors and internal brow pexy. The authors present a modification of the traditional brow-pexy surgery which incorporates weakening of the lateral eyebrow depressor, the orbicularis oculi muscle, to synergistically influence brow position. METHODS: This retrospective review includes 44 brows in 22 patients treated over a 14-month period. All patients underwent surgery by a single surgeon (RM) at UT Southwestern Medical Center. The surgical technique includes partial orbicularis resection to augment the traditional internal brow pexy. Preoperative and postoperative photographs were analyzed using ImageJ software. RESULTS: This procedure has been successfully performed on 44 brows in 22 patients with no complications and a high satisfaction rate. ImageJ analysis demonstrates an average elevation of 2.42 mm of the lateral tail of the brow with improved brow contour, volume, and symmetry. CONCLUSIONS: The "Tuck and Rise" has proven a simple, minimally invasive, and effective technique to volumize and elevate the lateral tail of the eyebrow.

Relative meaning frequencies for 578 homonyms in two Spanish dialects: A cross-linguistic extension of the English eDom norms.

Relative meaning frequency is a critical factor to consider in studies of semantic ambiguity. In this work, we examined how this measure may change across the European and Rioplatense dialects of Spanish, as well as how the overall distributional properties differ between Spanish and English, using a computer-assisted norming approach based on dictionary definitions (Armstrong, Tokowicz, & Plaut, 2012). The results showed that the two dialects differ considerably in terms of the relative meaning frequencies of their constituent homonyms, and that the overall distributions of relative frequencies vary considerably across languages, as well. These results highlight the need for localized norms to design powerful studies of semantic ambiguity and suggest that dialectal differences may be responsible for some discrepant effects related to homonymy. In quantifying the reliability of the norms, we also established that as few as seven ratings are needed to converge on a highly stable set of ratings. This approach is therefore a very practical means of acquiring essential data in studies of semantic ambiguity, relative to past approaches, such as those based on the classification of free associates. The norms also present new possibilities for studying semantic ambiguity effects within and between populations who speak one or more languages. The norms and associated software are available for download at http://edom.cnbc.cmu.edu/ or http://www.bcbl.eu/databases/edom/ .