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An examination of verbal working memory capacity in children with specific language impairment.

This study investigated verbal working memory capacity in children with specific language impairment (SLI). The task employed in this study was the Competing Language Processing Task (CLPT) developed by Gaulin and Campbell (1994). A total of 40 school-age children participated in this investigation, including 20 with SLI and 20 normal language (NL) age-matched controls. Results indicated that the SLI and NL groups performed similarly in terms of true/false comprehension items, but that the children with SLI evidenced significantly poorer word recall than the NL controls, even when differences in nonverbal cognitive scores were statistically controlled. Distinct patterns of word-recall errors were observed for the SLI and NL groups, as well as different patterns of associations between CLPT word recall and performance on nonverbal cognitive and language measures. The findings are interpreted within the framework of a limited-capacity model of language processing.

Child↗

Protein fold recognition using segmentation conditional random fields (SCRFs).

Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation conditional random fields (SCRFs), is proposed as an effective solution to this problem. In contrast to traditional graphical models, such as the hidden Markov model (HMM), SCRFs follow a discriminative approach. Therefore, it is flexible to include any features in the model, such as overlapping or long-range interaction features over the whole sequence. The model also employs a convex optimization function, which results in globally optimal solutions to the model parameters. On the other hand, the segmentation setting in SCRFs makes their graphical structures intuitively similar to the protein 3-D structures and more importantly provides a framework to model the long-range interactions between secondary structures directly. Our model is applied to predict the parallel beta-helix fold, an important fold in bacterial pathogenesis and carbohydrate binding/cleavage. The cross-family validation shows that SCRFs not only can score all known beta-helices higher than non-beta-helices in the Protein Data Bank (PDB), but also accurately locates rungs in known beta-helix proteins. Our method outperforms BetaWrap, a state-of-the-art algorithm for predicting beta-helix folds, and HMMER, a general motif detection algorithm based on HMM, and has the additional advantage of general application to other protein folds. Applying our prediction model to the Uniprot Database, we identify previously unknown potential beta-helices.

Algorithms↗

Advanced practice nurses: a study of client satisfaction.

PURPOSE: To describe the satisfaction of clients with care provided by advanced practice nurses (APNs) in the Wright State University (WSU) Pilot Project. The Pilot Project was created through state legislation that recognized APNs associated with three universities in Ohio for the purpose of granting the APNs title protection, prescriptive authority, and recognition leading to reimbursement. DATA SOURCES: The Interactional Model of Client Health Behavior (Cox, 1982), which proposes that client characteristics and interactions with health professionals determine health outcomes, served as the framework for this descriptive study. The study measured client (n = 506) satisfaction with care delivered by 36 APNs at 26 different practice sites using an adapted Client Satisfaction Tool (CST). The internal consistency of the adapted CST was 0.935. CONCLUSIONS: Client (n = 506) satisfaction scores ranged from 28 to 50, with a mean score of 47.15 (SD = 4.00). Findings suggest that clients are very satisfied with APNs in the WSU Pilot Project. IMPLICATIONS FOR NURSING PRACTICE: Client satisfaction is one indicator used to determine quality of care. Consumer satisfaction benefits the individual client and provides important information for the health care payer. Measuring and reporting client satisfaction with care provided by APNs may increase the visibility and marketability of APNs.

Humans↗

Effects of uncertainty on melodic information processing.

In three experiments, musically trained and untrained adults listened to three repetitions of a 5-note melodic sequence followed by a final melody with either the same tune as those preceding it or differing in one position by one semitone. In Experiment 1, ability to recognize the final sequence was examined as a function of redundancy at the levels of musical structure in a sequence, contour complexity of transpositions in a trial, and trial context in a session. Within a sequence, tones were related as the major or augmented triad; within a trial, the four sequences began on successively higher notes (simple macrocontour) or on randomly selected notes (complex macrocontour); and within a session, trials were either blocked (all major or all augmented) or mixed (major and augmented randomly selected). Performance was superior for major melodies, for systematic transpositions within a trial (simple macrocontours), for blocked trials, and for musically trained listeners. In Experiment 2, we examined further the effect of macrocontour. Performance on simple macrocontours exceeded that on complex, and excluded the possibility that repetition of the 20-note sequences provided the entire benefit of systematic transposition in Experiment 1. The effect of musical structure (major/augmented) was also replicated. In Experiment 3, listeners provided structure ratings of ascending 20-note sequences from Experiment 2. Ratings on same trials were higher than those on corresponding different trials, in contrast to performance scores for augmented same and different trials in previous experiments. The concept of functional uncertainty was proposed to account for recognition difficulties on augmented same trials. The significant effects of redundancy on all the levels examined confirm the utility of the information-processing framework for the study of melodic sequence perception.

Adolescent↗

First-grade classroom behavior: its short- and long-term consequences for school performance.

Effects of children's classroom behavior on school performance over a 4-year period are examined for a large, representative panel of beginning first graders. Scales developed from homeroom teachers' ratings of children in the spring of their first, second, and fourth years of school are used to predict spring marks in reading and math and spring scores on verbal and quantitative subtests from the CAT battery. The teachers' ratings cluster in three domains: Interest-Participation (I-P), Cooperation-Compliance (C-C), and Attention Span-Restlessness (A-R). The I-P and A-R ratings, but not C-C ratings, affect test score gains in first grade and marks in all 3 years. Behavior ratings from Year 1 also affect Year 2 and Year 4 performance, with indications that effects are understated over single-year periods. The importance of assessing classroom behavior in a longitudinal framework that allows for lagged and cumulative effects is discussed.

Achievement↗

A unified statistical framework for sequence comparison and structure comparison.

We present an approach for assessing the significance of sequence and structure comparisons by using nearly identical statistical formalisms for both sequence and structure. Doing so involves an all-vs.-all comparison of protein domains [taken here from the Structural Classification of Proteins (scop) database] and then fitting a simple distribution function to the observed scores. By using this distribution, we can attach a statistical significance to each comparison score in the form of a P value, the probability that a better score would occur by chance. As expected, we find that the scores for sequence matching follow an extreme-value distribution. The agreement, moreover, between the P values that we derive from this distribution and those reported by standard programs (e.g., BLAST and FASTA validates our approach. Structure comparison scores also follow an extreme-value distribution when the statistics are expressed in terms of a structural alignment score (essentially the sum of reciprocated distances between aligned atoms minus gap penalties). We find that the traditional metric of structural similarity, the rms deviation in atom positions after fitting aligned atoms, follows a different distribution of scores and does not perform as well as the structural alignment score. Comparison of the sequence and structure statistics for pairs of proteins known to be related distantly shows that structural comparison is able to detect approximately twice as many distant relationships as sequence comparison at the same error rate. The comparison also indicates that there are very few pairs with significant similarity in terms of sequence but not structure whereas many pairs have significant similarity in terms of structure but not sequence.

Animals↗

The Big-Five factor structure as an integrative framework: an analysis of Clarke's AVA model.

Using a large (N = 3,629) sample of participants selected to be representative of U.S. working adults in the year 2,000, we provide links between the constructs in 2 personality models that have been derived from quite different rationales. We demonstrate the use of a novel procedure for providing orthogonal Big-Five factor scores and use those scores to analyze the scales of the Activity Vector Analysis (AVA). We discuss the implications of our many findings both for the science of personality assessment and for future research using the AVA model.

Adolescent↗

Measure for measure: the quest for valid indicators of non-fatal injury incidence.

In this edition of Public Health, McClure and colleagues report on research that considered the criterion validity of indicators based on serious long bone fracture and length of stay in hospital. They found that neither were sensitive or specific indicators for serious injury as defined by an Injury Severity Score (ISS) of 16 or more. They contend that their study findings ' em leader strongly support a return to a measure similar in intent to that encapsulated in the original UK Green Paper em leader '. We contend that their analysis does not provide any empirical evidence to support their view that there should be a return to the Green Paper: Our Healthier Nation indicator. Furthermore, we consider the analyses that they carry out to validate both the Saving Lives: Our Healthier Nation and the serious long bone fracture indicators are flawed. We agree that national (or state) indicators are very influential. They encourage preventive action and resource use aimed at producing favourable changes to these indicators. However, each of the four non-fatal indicators considered in their analysis have problems. Formal validation of existing indicators is necessary and the following aspects of validity should be addressed: face; criterion; consistency; and completeness and accuracy of the source date. Taking into account the current national data systems in England, possible options for one or more national non-fatal unintentional injury indicators have been proposed in our paper. Furthermore, the International Collaborative Effort on Injury Statistics (ICE) Injury Indicators Group is about to embark on the development of a strategic framework for the development of valid indicators of non-fatal injury occurrence.

Evidence-Based Medicine↗

Predicting host tropism in influenza a viruses: insights from multi-segment nucleotide signatures.

BACKGROUND: Influenza A virus (IAV) poses a significant public health threat due to its cross-species transmission and complex host adaptation mechanisms. This study integrated whole-genome data from avian, human, swine, and bovine IAV strains, using machine learning to predict viral host tropism based on nucleotide site features and to identify key sites driving host adaptation along with their synergistic effects. METHODS: A total of 64,000 IAV sequences from avian, human, swine, and bovine hosts were analyzed to build host-prediction models. A four-class classification framework (avian, human, swine, bovine) was constructed using nucleotide site features from all eight genomic segments (PB2, PB1, PA, HA, NP, NA, MP, NS). Eight machine learning algorithms (logistic regression, decision tree, random forest, SVM, KNN, gradient boosting, XGBoost, LightGBM) were benchmarked via 10-fold stratified cross-validation. Model performance was evaluated using accuracy, precision, recall, F1-score, AUPRC, and AUC. SHAP (SHapley Additive exPlanations) analysis prioritized critical nucleotide sites, while bivariate association tests identified synergistic/antagonistic interactions between sites. Nucleotide composition profiles were compared across host groups using hierarchical clustering and heatmap visualization. RESULTS: The XGBoost algorithm demonstrated the best and most stable performance, achieving an AUC value of over 0.95 in distinguishing human-derived sequences from non-human ones. SHAP analysis identified the top 20 critical nucleotide sites for each gene segment, such as sites 46 and 698 in the NS segment. Nucleotide composition analysis revealed high similarity between human and swine sequences in the HA and PB2 segments, and between avian and bovine sequences. The HA segment was particularly challenging in differentiating human from swine strains. Bivariate site association analysis uncovered significant synergistic or antagonistic effects between key sites within gene segments, forming complex networks. For instance, in the NS segment, a positive prediction contribution was observed when sites 371, 698, and 419 were all G. CONCLUSIONS: This study advances our mechanistic understanding of IAV host adaptation, identifies molecular determinants for zoonotic risk stratification, and establishes a scalable machine learning framework for predicting viral host tropism through nucleotide signature analysis, thereby enhancing surveillance strategies and informing preventive measures against emerging viral threats.

Influenza A virus↗

A preliminary controlled evaluation of a school-based media literacy program and self-esteem program for reducing eating disorder risk factors.

OBJECTIVE: This study compared the efficacy of a media literacy program and a self-esteem program designed to reduce general and specific risk factors for eating disorders. METHOD: Four classes of 86 grade 8 students (53 boys and 33 girls), mean age of 13 years, were randomly assigned to either a control condition or one of the two intervention conditions. Assessment of general and specific risk factors was carried out at baseline, postintervention and 3-month follow-up. RESULTS: At postintervention the media literacy group had lower mean scores on weight concern than the control group (p =0.007) but the self-esteem group did not. There were some differences on self-esteem measures at the 3-month follow-up. DISCUSSION: Media literacy programs combined with an interactive, student-centered framework may potentially be a safe and effective way of reducing risk factors for eating disorders. The impact of teaching style needs to be further evaluated in prevention research.

Adolescent↗

A radiation hybrid map of 48 loci including the clouston hidrotic ectodermal dysplasia locus in the pericentromeric region of chromosome 13q.

To facilitate the identification of the gene responsible for Clouston hidrotic ectodermal dysplasia (HED), we used a chromosome 13-specific radiation hybrid panel to map 54 loci in the HED candidate region. The marker retention data were analyzed using RHMAP version 3. The 54 markers have an average retention frequency of 31.6% with decreasing retention as a function of distance from the centromere. Two-point analysis identified three linkage groups with a threshold lod score of 4.00; one linkage group consisted of 49 loci including the centromeric marker D13Z1 and the telomeric flanking marker for the HED candidate region D13S143. Assuming a centromeric retention model, multipoint maximum likelihood analysis of these 49 loci except D13Z1 provided a 1000:1 framework map ordering 29 loci with 21 unique map positions and approximately 2000 times more likely than the next order. Loci that could not be ordered with this level of support were positioned within a range of adjacent intervals. This map spans 347 cR9000, has an average resolution of 17.3 cR9000, and includes 3 genes (TUBA2, GJbeta2, and FGF-9), 18 ESTs, 19 polymorphic loci, and 8 single-copy DNA segments. Comparison of our RH map to a YAC contig showed an inconsistency in order involving a reversed interval of 6 loci. Fiber-FISH and FISH on interphase nuclei analyses with PACs isolated from this region supported our order. We also describe the isolation of 8 new chromosome 13q polymorphic (CA)n markers that have an average PIC value of 0.67. These data and mapping reagents will facilitate the isolation of disease genes from this region.

Chromosomes, Human, Pair 13↗

Pelvic muscle exercise effect on pelvic muscle performance in women.

The aim of this study was to compare pelvic muscle (PM) characteristics (strength, endurance and contractability) before and after 12 weeks of pelvic muscle exercises in two groups of older women: the first composed of women with genuine stress incontinence, and the second made up of women with no symptoms of urinary incontinence or pelvic organ prolapse. This research also investigated the extent to which PM pressure and health-related characteristics could help discriminate between women with and without a clinical sign of PM dysfunction. Within a framework of skeletal muscle fitness, outcome measures were defined and compared. There was no significant difference in the baseline (P = 0.09) and post-PME (P = 0.63) strength, endurance and contractability of the two groups of women. The two groups did differ significantly on change scores (P = 0.05) following PME. A greater improvement in strength for women without a clinical sign of dysfunction was demonstrated. There was a probability of 91% that those with a history of gynecological surgery belonged to the group of women with SUI.

Adult↗

Quality of fixed restorative treatment on Brånemark implants. A 3-year follow-up study in private dental practices.

The aim of the present prospective study were to describe the quality of implant supported reconstructions made by dentists previously inexperienced with implant prosthodontics and to evaluate alterations and complications from the moment of insertion to 3 years later. Before starting with the prosthodontic work, the dentists had participated in a 2-day postgraduate course focusing on planning and practical training. Forty-nine patients were clinically examined within 4 months after insertion of the fixed implant supported prosthesis. Three years later 39 of the 49 participants underwent a second examination by the same independent examiner. Thirty-one patients had a complete rehabilitation (25 with resin teeth bonded to a metal framework and 6 ceramo-metal bridges); 8 patients had partial ceramo-metal reconstructions. The parameters assessing the quality of the restoration were design, fit, occlusion/articulation and esthetics. Oral hygiene and health of the peri-implant tissues were also examined. Each parameter was scored as perfect, acceptable, to be corrected or to be redone. These scores were a modification of "The guidelines for the assessment of clinical quality and professional performance of the Californian Dental Association". The initial prosthodontic quality was rated perfect to acceptable except for one restoration which had an unacceptable fit and had to be modified. After 3 years of function the quality did not change except for esthetics which worsened for resin bonded teeth (P < 0.05). The esthetic appearance of ceramo-metal reconstructions were unaltered. The peri-implant condition was predominantly healthy and stable during 3 years. The conclusion of the present study is that dentists previously inexperienced with implant prosthodontics implemented the information from a training course satisfactorily. They were able to make a clinically acceptable restoration with a quality that was stable after 3 years except for discoloration in resin bonded teeth. This, however, had no effect on patient's opinion and satisfaction.

Clinical Competence↗

Relation between differential emotions and depression in emotionally disturbed children and adolescents.

Differential emotions theory (Izard, 1972) provides a conceptual framework for the role of emotions in affective disorders. The present study investigated the relation of emotions to depression in a sample of child and adolescent psychiatric inpatients (N = 145). Findings indicate that shyness, anger, enjoyment, and shame explained 51.4% of the variance in depression scores. Furthermore, profiles of emotions experienced by youths with a depressive disorder differed significantly from emotion profiles of nondepressed youths on the following emotions: enjoyment, surprise, sadness, anger, shame, shyness, guilt, and self-directed hostility. Differential emotions also correctly classified 80.0% of depressed and nondepressed subjects into their respective groups.

Adolescent↗

ELISA (Embedding-Linked Interactive Single-cell Agent): an interpretable hybrid generative Artificial Intelligence agent for expression-grounded discovery in single-cell genomics.

Translating single-cell RNA sequencing (scRNA-seq) data into mechanistic biological hypotheses remains a critical bottleneck, as agentic AI systems lack direct access to transcriptomic representations while expression foundation models remain opaque to natural language. Here, we introduce ELISA (Embedding-Linked Interactive Single-cell Agent), an interpretable framework that unifies single-cell generative pretrained transformer expression embeddings with biomedical bidirectional encoder representations from transformers-based semantic retrieval and large-language model (LLM)-mediated interpretation for interactive single-cell discovery. An automatic query classifier routes inputs to gene marker scoring, semantic matching, or reciprocal rank fusion pipelines depending on whether the query is a gene signature, natural language concept, or mixture of both. Integrated analytical modules perform pathway activity scoring across 60+ gene sets, ligand-receptor interaction prediction using 280+ curated pairs, condition-aware comparative analysis, and cell-type proportion estimation, all operating directly on embedded data without access to the original count matrix. Benchmarked across six diverse scRNA-seq datasets spanning inflammatory lung disease, pediatric and adult cancers, organoid models, healthy tissue, and neurodevelopment, ELISA significantly outperforms CellWhisperer, a classical lexical retriever (BM25), and a random baseline in cell type retrieval (combined permutation test, $p < 2\times 10^{-5}$ for each), with particularly large gains on gene-signature queries (Cohen's $d = 5.98$ for mean reciprocal rank). ELISA replicates published biological findings (mean composite score 0.88), and generates candidate hypotheses through grounded LLM reasoning, bridging the gap between transcriptomic data exploration and biological discovery.

Generative Artificial Intelligence↗

Do different subjective evaluation criteria reflect distinct constructs?

Four subjective evaluation criteria--self-rated symptoms, subjective quality of life, self-rated needs, and patients' assessment of treatment--were examined to determine whether they reflect distinct constructs and to what extent they are correlated. The four criteria were assessed in 90 newly admitted schizophrenia patients, 170 long-term-hospitalized schizophrenia patients, 154 patients with alcoholism admitted for the short term, and 68 patients with alcoholism in long-term rehabilitation, using identical instruments. The four criteria show substantial intercorrelations, except for assessment of treatment in the two acute treatment groups. One general factor explains between 43% and 55% of the variance in each group. Factor scores are associated with observer-rated psychopathology and objective data. The four criteria overlap in different patient groups, except in the assessment of treatment in acute groups. The use of more than one subjective criterion should occur only with specific hypotheses. A better theoretical framework is needed to explain the differences between and interrelationships of subjective evaluation criteria.

Adult↗

Measuring subclinical disability in older mexican americans.

OBJECTIVE: The purpose of this study was to develop a comprehensive list of adaptive strategies to prevent disability and use this information to devise a preliminary measure of subclinical disability (state of sustained independence in the presence of latent or manifest functional limitations) suitable for older Mexican Americans. METHOD: Semistructured interviews were conducted with 24 community-dwelling Mexican American elders (> or =65 years old) to elicit information about adaptations in performance of daily living tasks (eg, walking, dressing, and shopping) that may indicate presence of subclinical disability. This information was used to construct a quantitative self-report measure of subclinical disability administered to 207 older Mexican Americans. Item and factor analyses were performed to reduce the number of items and establish their underlying structure. Construct and discriminant validity of the reduced instrument was determined. RESULTS: A framework comprised of nine categories of daily living tasks, three functional levels, and five adaptation types was generated from the qualitative data. The initial 133-item measure (named the ADAPT) was reduced to a 44-item scale with three subscales (physical, household, and social). ADAPT scores correlated significantly in the expected direction with standard functional status measures, but the shared variance was modest, indicating that the ADAPT captured substantial, unique variance. Mean ADAPT scores differed significantly and were monotonically lower across subgroups classified as independent, subclinically disabled, and disabled, respectively. CONCLUSIONS: The ADAPT seems to have construct and discriminant validity as a measure of subclinical disability. Additional research is required to determine sensitivity to change and clinically significant cut points for varying risk of frank disability.

Activities of Daily Living↗

Nurse therapist trainee variability: the implications for selection and training.

This paper examines some of the data obtained from the Joint Board of Clinical Nursing Studies Course Number 650, which ran at the Bethlem Royal and Maudsley Hospitals, London, 1978-1979. During this particular training programme, eight nurse therapist trainees treated a total of 251 patients assessed as suitable for behaviour therapy. Data were collected from patients by trainees on four separate occasions; before treatment, after treatment, and at follow-up intervals of 1 and 6 months. It was suggested that therapists would vary systematically in terms of the assessment scores used to measure outcome. This was explored using analysis of variance techniques, where several treatment outcome measures were used as dependent variables. The analyses, which were undertaken using SPSS and GLIM computer packages, clearly demonstrated therapist variability. The results are discussed within the theoretical framework of Sudman & Braburn's (1974) interviewing model and O'Muircheartaigh & Wiggins' (1981) consideration of response errors. The implications for the selection and training of nurse therapists are presented. The final conclusion of the paper is that, although the patient's clinical outcome may be related to therapist allocation, the eight trainees allowed themselves to 'open' their activities to this evaluative approach--which in turn demonstrates their professionalism.

Adolescent↗