The Persian Lexicon Project: minimized orthographic neighbourhood effects in a dense language

In recent years large datasets of lexical processing times have been released for several languages, including English, French, Spanish, and Dutch. Such datasets have enabled us to study, compare, and model the global effects of many psycholinguistic measures such as word frequency, orthographic neighborhood (ON) size, and word length. We have compiled and publicly released a frequency and ON dictionary of 64,546 words and 1800 plausible NWs from a language that has been relatively little studied by psycholinguists: Persian. We have also collected visual lexical decision reaction times for 1800 Persian words and nonwords. Persian offers an interesting psycholinguistic environment for several reasons, including that it has few long words and has resultantly dense orthographic neighborhoods. These characteristics provide us with an opportunity to contrast how these factors affect lexical access by comparing them to several other languages. The results suggest that sensitivity to word length and orthographic neighbourhood may reflect the statistical structure of a particular language, rather than being a universal element of lexical processing. The dictionary and LDRT data are available from https://osf.io/tb4m6/ .

A pompous snack: On the unreasonable complexity of the world's third-worst jokes

Although studies of humour are as old as the Western academic tradition, most theories are too vague to allow for modelling and prediction of humour judgments. Previous work in modelling humour judgments has succeeded by focusing on the world's worst jokes: the slight humour of single nonwords (Westbury, Shaoul, Moroschan, & Ramscar, 2016) and single words (Westbury & Hollis, 2019). Here that work is extended to the world's third-worst jokes, adjective-noun pairs such as dancing dildo, flabby goldfish, and pompous snack. Participants used best-worst scaling to rate the humour of random word pairs. Those judgments were modelled using both linear regression and genetic programming, which is not constrained by assumptions of linearity. The linear regression models were as successful as the nonlinear models at predicting humour judgments, accounting for 27% of the variance in a 540-item validation set. Predictors associated only with the noun and with the relationship between the adjective and noun accounted for much more variance (over 14% each) than predictors associated only with the adjective (6.3%). Greater cosine distance of the adjective word2vec vector from the vectors of the shared neighbors of the noun and adjective is associated with higher humour ratings, whereas the opposite relationship is true for the noun. This captures a form of incongruity not seen in single items, by which neighbours of the adjective become unexpectedly relevant only when the noun brings them into focus. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Wriggly, squiffy, lummox, and boobs: What makes some words funny?

Theories of humor tend to be post hoc descriptions, suffering from insufficient operationalization and a subsequent inability to make predictions about what will be found humorous and to what extent. Here we build on the Engelthaler & Hills' (2017) humor rating norms for 4,997 words, by analyzing the semantic, phonological, orthographic, and frequency factors that play a role in the judgments. We were able to predict the original humor rating norms and ratings for previously unrated words with greater reliability than the split half reliability in the original norms, as estimated from splitting those norms along gender or age lines. Our findings are consistent with several theories of humor, while suggesting that those theories are too narrow. In particular, they are consistent with incongruity theory, which suggests that experienced humor is proportional to the degree to which expectations are violated. We demonstrate that words are judged funnier if they are less common and have an improbable orthographic or phonological structure. We also describe and quantify the semantic attributes of words that are judged funny and show that they are partly compatible with the superiority theory of humor, which focuses on humor as scorn. Several other specific semantic attributes are also associated with humor. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Extrapolating human judgments from skip-gram vector representations of word meaning

There is a growing body of research in psychology that attempts to extrapolate human lexical judgments from computational models of semantics. This research can be used to help develop comprehensive norm sets for experimental research, it has applications to large-scale statistical modelling of lexical access and has broad value within natural language processing and sentiment analysis. However, the value of extrapolated human judgments has recently been questioned within psychological research. Of primary concern is the fact that extrapolated judgments may not share the same pattern of statistical relationship with lexical and semantic variables as do actual human judgments; often the error component in extrapolated judgments is not psychologically inert, making such judgments problematic to use for psychological research. We present a new methodology for extrapolating human judgments that partially addresses prior concerns of validity. We use this methodology to extrapolate human judgments of valence, arousal, dominance, and concreteness for 78,286 words. We also provide resources for users to extrapolate these human judgments for three million English words and short phrases. Applications for large sets of extrapolated human judgments are demonstrated and discussed.

Now you see it, now you don't: on emotion, context, and the algorithmic prediction of human imageability judgments

Many studies have shown that behavioral measures are affected by manipulating the imageability of words. Though imageability is usually measured by human judgment, little is known about what factors underlie those judgments. We demonstrate that imageability judgments can be largely or entirely accounted for by two computable measures that have previously been associated with imageability, the size and density of a word's context and the emotional associations of the word. We outline an algorithmic method for predicting imageability judgments using co-occurrence distances in a large corpus. Our computed judgments account for 58% of the variance in a set of nearly two thousand imageability judgments, for words that span the entire range of imageability. The two factors account for 43% of the variance in lexical decision reaction times (LDRTs) that is attributable to imageability in a large database of 3697 LDRTs spanning the range of imageability. We document variances in the distribution of our measures across the range of imageability that suggest that they will account for more variance at the extremes, from which most imageability-manipulating stimulus sets are drawn. The two predictors account for 100% of the variance that is attributable to imageability in newly-collected LDRTs using a previously-published stimulus set of 100 items. We argue that our model of imageability is neurobiologically plausible by showing it is consistent with brain imaging data. The evidence we present suggests that behavioral effects in the lexical decision task that are usually attributed to the abstract/concrete distinction between words can be wholly explained by objective characteristics of the word that are not directly related to the semantic distinction. We provide computed imageability estimates for over 29,000 words.

Connected text reading and differences in text reading fluency in adult readers

The process of connected text reading has received very little attention in contemporary cognitive psychology. This lack of attention is in parts due to a research tradition that emphasizes the role of basic lexical constituents, which can be studied in isolated words or sentences. However, this lack of attention is in parts also due to the lack of statistical analysis techniques, which accommodate interdependent time series. In this study, we investigate text reading performance with traditional and nonlinear analysis techniques and show how outcomes from multiple analyses can used to create a more detailed picture of the process of text reading. Specifically, we investigate reading performance of groups of literate adult readers that differ in reading fluency during a self-paced text reading task. Our results indicate that classical metrics of reading (such as word frequency) do not capture text reading very well, and that classical measures of reading fluency (such as average reading time) distinguish relatively poorly between participant groups. Nonlinear analyses of distribution tails and reading time fluctuations provide more fine-grained information about the reading process and reading fluency.

The blue-collar brain

Much effort has gone into elucidating control of the body by the brain, less so the role of the body in controlling the brain. This essay develops the idea that the brain does a great deal of work in the service of behavior that is controlled by the body, a blue-collar role compared to the white-collar control exercised by the body. The argument that supports a blue-collar role for the brain is also consistent with recent discoveries clarifying the white-collar role of synergies across the body's tensegrity structure, and the evidence of critical phenomena in brain and behavior.

11β-Hydroxysteroid dehydrogenase type 1 inhibition in type 2 diabetes mellitus

11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) catalyses the intracellular conversion of inert cortisone to physiologically active cortisol, functioning to enhance local cortisol action beyond what would be predicted based on simple plasma exposures. Adipose tissue overexpression of 11β-HSD1 in rodents to levels observed in human obesity can lead to a near complete metabolic syndrome phenotype, and inhibition of 11β-HSD1 has been proposed to be of potential therapeutic benefit to patients with type 2 diabetes mellitus (T2DM). Recently published clinical results with the selective 11β-HSD1 inhibitor, INCB13739, have, for the first time, provided evidence substantiating this hypothesis, and suggest that 11β-HSD1 activity may be important in regulating glycaemia and cardiometabolic risk. In patients with T2DM failing metformin monotherapy, INCB13739 treatment achieves significant reductions in haemoglobin A1c (HbA1c) and fasting plasma glucose (FPG), and when present improves hyperlipidaemia and hypertriglyceridaemia. Interestingly, these positive effects are observed primarily in subjects categorized as obese (body mass index, BMI > 30 kg/m²) and not in subjects categorized as overweight (BMI ≤ 30 kg/m²), underscoring the likely importance of adipose tissue 11β-HSD1 activity to the cardiometabolic sequelae of obesity. This review summarizes the therapeutic rationale for 11β-HSD1 inhibition, and describes in detail the metabolic and endocrinologic changes observed in patients with T2DM treated with INCB13739.

NUANCE 3.0: Using genetic programming to model variable relationships

Previously, we introduced a new computational tool for nonlinear curve fitting and data set exploration: the Naturalistic University of Alberta Nonlinear Correlation Explorer (NUANCE) (Hollis & Westbury, 2006). We demonstrated that NUANCE was capable of providing useful descriptions of data for two toy problems. Since then, we have extended the functionality of NUANCE in a new release (NUANCE 3.0) and fruitfully applied the tool to real psychological problems. Here, we discuss the results of two studies carried out with the aid of NUANCE 3.0. We demonstrate that NUANCE can be a useful tool to aid research in psychology in at least two ways: It can be harnessed to simplify complex models of human behavior, and it is capable of highlighting useful knowledge that might be overlooked by more traditional analytical and factorial approaches. NUANCE 3.0 can be downloaded from the Psychonomic Society Archive of Norms, Stimuli, and Data at www.psychonomic.org/archive.

NUANCE: Naturalistic University of Alberta Nonlinear Correlation Explorer

In this article, we describe the Naturalistic University of Alberta Nonlinear Correlation Explorer (NUANCE), a computer program for data exploration and analysis. NUANCE is specialized for finding nonlinear relations between any number of predictors and a dependent value to be predicted. It searches the space of possible relations between the predictors and the dependent value by using natural selection to evolve equations that maximize the correlation between their output and the dependent value. In this article, we introduce the program, describe how to use it, and provide illustrative examples. NUANCE is written in Java, which runs on most computer platforms. We have contributed NUANCE to the archival Web site of the Psychonomic Society (www.psychonomic.org/archive), from which it may be freely downloaded.

Human immunodeficiency virus type 1 mutations selected in patients failing efavirenz combination therapy

Efavirenz is a potent and selective nonnucleoside inhibitor of human immunodeficiency virus type 1 (HIV-1) reverse transcriptase (RT). Nucleotide sequence analyses of the protease and RT genes (coding region for amino acids 1 to 229) of multiple cloned HIV-1 genomes from virus found in the plasma of patients in phase II clinical studies of efavirenz combination therapy were undertaken in order to identify the spectrum of mutations in plasma-borne HIV-1 associated with virological treatment failure. A K103N substitution was the HIV-1 RT gene mutation most frequently observed among plasma samples from patients for whom combination therapy including efavirenz failed, occurring in at least 90% of cases of efavirenz-indinavir or efavirenz-zidovudine (ZDV)-lamivudine (3TC) treatment failure. V108I and P225H mutations were observed frequently, predominantly in viral genomes that also contained other nonnucleoside RT inhibitor (NNRTI) resistance mutations. L100I, K101E, K101Q, Y188H, Y188L, G190S, G190A, and G190E mutations were also observed. V106A, Y181C, and Y188C mutations, which have been associated with high levels of resistance to other NNRTIs, were rare in the patient samples in this study, both before and after exposure to efavirenz. The spectrum of mutations observed in cases of virological treatment failure was similar for patients initially dosed with efavirenz at 200, 400, or 600 mg once a day and for patients treated with efavirenz in combination with indinavir, stavudine, or ZDV-3TC. The proportion of patients carrying NNRTI resistance mutations, usually K103N, increased dramatically at the time of initial viral load rebound in cases of treatment failure after exposure to efavirenz. Viruses with multiple, linked NNRTI mutations, especially K103N-V108I and K103N-P225H double mutants, accumulated more slowly following the emergence of K103N mutant viruses.

The development of a mental health service patient information management system

In this paper we describe the development of the Mental Health-Patient Information Management System (MH-PIMS), which is an information management system designed for use in a modern, primarily community-based, mental health service. MH-PIMS is a computerised database which was designed by clinicians and is supported by a case management system and complementary patient record set-together called the Assessment and Care Evaluation (ACE) system. The paper also describes the ACE system. MH-PIMS can generate patient reports of use to case managers and teams in managing their caseloads and is of use to senior clinicians and service managers for audit and strategic planning purposes.

Affinity maturation of a high-affinity human monoclonal antibody against the third hypervariable loop of human immunodeficiency virus: use of phage display to improve affinity and broaden strain reactivity

The present study set out to investigate whether phage display could be used to improve the properties of a high-affinity human monoclonal antibody directed against the third hypervariable loop (V3 loop) of human immunodeficiency virus (HIV). The aim was to increase affinity through slowing the dissociation rate (off-rate constant of koff), whilst retaining the ability of this antibody to bind diverse V3 loop sequences. When reformatted as a scFv, the antibody fragment retained the properties of the parental IgG, including the ability to neutralise virus. Heavy and light chains were sequentially replaced with repertoires of variable domains from non-immunised human donors followed by selection on biotinylated synthetic peptide. All selected variants derived from the same germline as the parental antibody. Variants of the light chain provided little if any improvement, whereas two residue changes in VHCDR2 and one in VHFR3 resulted in a reduced koff from gp120 protein of the MN strain (MNgp120) and synthetic V3 loop peptides as measured by surface plasmon resonance using the BIAcore instrument (Pharmacia Biosensor). VHCDR3 was modified using synthetic oligonucleotides and several clones with reduced koff identified, a number of different substitutions occurring at a single residue position. The residues in the heavy chain identified as reducing koff were simultaneously randomised by site-directed mutagenesis, resulting in scFv variants with koff slowed up to sevenfold. Far from compromising recognition of variant loops, binding to these sequences was improved; the koff from synthetic peptides modelled on V3 loop variants being slowed to a degree similar to that observed with MNgp120. All four changes were located towards either extremes of CDRs 2 and 3, suggesting that the mechanism of improvement may be one of alternation of loop conformation. This work illustrates that phage display can be used to tailor the properties of a therapeutic monoclonal antibody in a predefined fashion.

Salmonella in captive crocodiles (Crocodylus johnstoni and C. porosus)

The prevalence of salmonellas in captive Crocodylus porosus and C. johnstoni was investigated at 2 Northern Territory crocodile farms. Similar proportions of each species at one farm (20.0 and 27.8% for C. porosus and C. johnstoni, respectively) carried salmonellas, but at the other farm there was a significant difference between the 2 species (81.0 and 5.0%, respectively). Procedures for the slaughter of crocodiles and processing of crocodile flesh for human consumption are outlined and discussed from the viewpoint of minimising salmonella contamination. The prevalence of salmonellas on flesh for human consumption (16.0% of carcases) was higher than that reported for beef and mutton, but lower than that for poultry products (Murrell 1986). Serotypes most often isolated from cloacai and faecal swabs were S. cerro, S. singapore, S. enteritidis and S. arizonae. Of the 10 serotypes isolated from processed carcases, S. singapore was most frequently isolated (33.3% of serotypes identified).

Antiimmunoglobulin inhibition of Burkitt's lymphoma cell proliferation and concurrent reduction of c-myc and mu heavy chain gene expression

We have demonstrated that polyvalent antiimmunoglobulin antibodies directed at appropriate cell surface light (L) or heavy (H) immunoglobulin (Ig) chains will inhibit proliferation and the expression of c-myc and mu-Ig chain mRNA in Burkitt's lymphoma (BL) cell lines bearing 8;14 chromosomal translocations. This effect was not observed in BL cell lines bearing 8;22 translocations or in BL cell lines which did not express surface Ig or in karyotypically normal Epstein-Barr virus-transformed lymphoblastoid cell lines. The antiproliferative effect was reproducible and resulted in cell death in the most sensitive cell lines. The decrease in gene expression preceded the antiproliferative effect. The effect of anti-Ig on gene expression was relatively specific since the level of total (shown by Northern blots) and cytoplasmic (dot blots) mRNA of several other genes (beta-actin, G6PD, kappa-L chain) and the first exon of c-myc (in cell lines in which this exon is expressed separately from the second and third exons) was not changed in these same BL cell lines. Expression of both c-myc and mu was maximally inhibited between 3 and 6 h after the addition of anti-Ig. In the most sensitive BL cell line, concurrent reduction in c-myc and mu mRNA was noted as early as 1 h after anti-Ig and the nadir of expression of these genes occurred at 3 h. These results indicate that the deregulated high constitutive expression of c-myc in some BLs can be down-regulated by anti-Ig resulting in inhibition of proliferation and cell death. In addition these data are consistent with the possibility that in at least some 8;14 bearing BLs the malignant transformation occurs in an immature B-cell undergoing antigen-independent differentiation.

T-cell receptor gene rearrangements as clinical markers of human T-cell lymphomas

The ability to detect immunoglobulin-gene rearrangements has proved useful in confirming diagnoses of suspected B-cell lymphomas and in establishing their monoclonality. By analogy, we employed a cloned DNA probe for the beta chain of the T-cell receptor gene to determine whether gene rearrangements were present in human T-cell neoplasms representing various stages of T-cell development. Gene rearrangements were present in all cases of T-cell disorders except a single case of T gamma lymphocytosis, a disorder that has not been proved to be a clonal T-cell neoplasm. A germline gene configuration was present in all patients with non-T-cell neoplasms and in normal tissues from patients with T-cell lymphoma. The probe promises to be useful for confirming the pathological an immunologic diagnosis in difficult cases of T-cell disorders and for assessing the extent of disease.