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Inductive learning of thyroid functional states using the ID3 algorithm. The effect of poor examples on the learning result.

The ID3 algorithm for inductive learning was tested using preclassified material for patients suspected to have a thyroid illness. Classification followed a rule-based expert system for the diagnosis of thyroid function. Thus, the knowledge to be learned was limited to the rules existing in the knowledge base of that expert system. The learning capability of the ID3 algorithm was tested with an unselected learning material (with some inherent missing data) and with a selected learning material (no missing data). The selected learning material was a subgroup which formed a part of the unselected learning material. When the number of learning cases was increased, the accuracy of the program improved. When the learning material was large enough, an increase in the learning material did not improve the results further. A better learning result was achieved with the selected learning material not including missing data as compared to unselected learning material. With this material we demonstrate a weakness in the ID3 algorithm: it can not find available information from good example cases if we add poor examples to the data.

Algorithms

Advancing nursing education through social and emotional learning: A systematic review guided by the Collaborative for Academic, Social, and Emotional Learning framework.

BACKGROUND: With Generation Z entering the nursing workforce in growing numbers, strengthening social and emotional learning is critical for academic success, professional adaptation, and safe practice. However, the existing evidence remains fragmented because of varied interventions and inconsistent approaches. OBJECTIVES: This systematic review examined (1) the social and emotional learning essential for nursing students and nurses within the Collaborative for Academic, Social, and Emotional Learning framework, (2) their impact on educational and clinical outcomes, and (3) implications for advancing nursing education and practice. METHODS: Following Joanna Briggs Institute methodology and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, five international (PubMed, EMBASE, CINAHL, PsycINFO, Cochrane) and three Korean (RISS, KoreaMed, KMBASE) databases were searched up to June 2025. Eighteen studies involving 2,952 participants met the inclusion criteria, including quasi-experimental quantitative studies, descriptive quantitative studies, qualitative studies, and mixed-methods studies. The methodological quality of the included studies was appraised using the Mixed Methods Appraisal Tool. RESULTS: Within the Collaborative for Academic, Social, and Emotional Learning framework, relationship skills and self-management were the most frequently studied competencies, emphasizing teamwork, communication, and stress regulation. Self-awareness and social awareness were underexplored, despite their importance in empathy, resilience, and reflective practice. Responsible decision-making was the least studied competency, despite its importance in ethical reasoning. Social and emotional learning was consistently associated with enhanced adaptation, communication, leadership, relationships, and clinical performance. Effective strategies included blended learning, simulation, reflective activities, and mentorship, which are aligned with Generation Z's learning preferences. CONCLUSION: Although social and emotional learning integration is associated with improvements in educational and clinical outcomes in nursing, current research has largely centered on relational and stress-related competencies while underrepresenting responsible decision-making. To cultivate reflective, empathetic, and ethically grounded nurses, curricula should integrate social and emotional learning through a balanced and structured approach. REGISTRATION: This study was registered on PROSPERO (ID: CRD420251005683).

Humans

Preserved configural learning and spatial learning impairment in rats with hippocampal damage.

This study was undertaken to compare the effect of hippocampal neurotoxic lesions in rats on two behavioral tasks, one a test of spatial learning, and the other an operant discrimination task that is acquired by forming nonspatial configural associations. Lesions of the hippocampus were made with microinjections of ibotenic acid. After postoperative recovery, rats were trained initially to locate a camouflaged escape platform in a water maze using distal spatial cues. Rats also were trained in the maze apparatus with a visible escape platform under conditions in which spatial information was made irrelevant to performance, i.e., cue learning. In an operant task, the same rats were then trained on a discrimination that included simultaneous feature positive and feature negative components (trial types XA+, A-, XB-, B+). After completion of this nonspatial configural learning task, rats received additional training in the water maze using a new platform location for spatial learning. To the extent that proficient performance in both the maze and operant tasks depends on a common function of the hippocampus, i.e., configural learning, the expectation was that hippocampal lesions would prove equally detrimental to performance in both tasks. Contrary to this expectation, lesioned rats were severely impaired in spatial learning but readily acquired the operant discrimination, even exhibiting some evidence of enhanced performance on this nonspatial configural learning task. Performance of the lesioned rats during cue training in the water maze was also enhanced relative to the control group.(ABSTRACT TRUNCATED AT 250 WORDS)

Analysis of Variance

Learning from experience: nurse tutors' and student nurses' perceptions of experiential learning in nurse education: some initial findings.

Experiential learning and experiential learning methods have been widely described in the literature as aids to learning about nursing. This paper describes a descriptive study of nurse tutors' and student nurses' perceptions of experiential learning. Two research methods were used: in-depth semi-structured interviews of 12 nurse tutors and 12 student nurses, followed by a questionnaire survey of a total population of nurse tutors in Wales, U.K. (n = 184) and a 100% stratified sample of student nurses in Wales (n = 325). The questionnaire items were devised out of the interview data. This report offers a description of how the study was conducted and some of the findings. Notably, student nurses tended to perceive experiential learning in terms of learning in the clinical setting whilst tutors referred more to experiential learning as a classroom activity. Other findings are described and discussed.

Attitude

A comparative study of the learning style preferences of students with learning disabilities and students who are gifted.

The purpose of this study was to investigate whether significant group, gender, and grade differences existed in the learning style preferences of students with learning disabilities and students who are gifted, using the Learning Style Inventory (LSI) (Dunn, Dunn, & Price, 1987). Subjects consisted of 53 students with learning disabilities and 64 gifted students randomly selected from two large public high schools. They were 10th-, 11th-, and 12th-grade students, aged 15 to 17. A three-way analysis of variance on the LSI raw scores revealed significant group differences in preferences for light, design, and kinesthetic modality, and in motivation, persistence, responsibility, parent motivation, and teacher motivation. Significant gender and grade differences were found in preferences for mobility and learning in the afternoon, respectively. A stepwise discriminant analysis revealed six variables that significantly discriminated between the two groups. Findings imply that incorporating the learning styles of students with learning disabilities and students who are gifted is important for individualizing educational programming.

Adolescent

Enhanced passive avoidance learning and appetitive T-maze learning with post-trial rewarding hypothalamic stimulation.

Experiments were carried out to investigate the effects of post-trial reinforcing stimulation of the lateral hypothalamus on learning in rats. The reinforcing stimulation was always presented for a duration of 20--30 sec (0.2 sec on/0.8 sec off), and was administered either immediately, 30 sec delayed or 300 sec delayed after exposure to the learning situation. In experiment 1 post-trial stimulation led to improved passive avoidance learning of an alcove-avoidance task when presented 30 sec compared to immediately after the footshock. In Experiment 2 reversal learning of a one-way shuttle-box avoidance task was facilitated by 30 sec delayed, but not 300 sec delayed post-trial reinforcing stimulation. In Experiment 3 appetitive left-right discrimination was investigated using a T-maze task. Thirty sec delayed post-trial reinforcing stimulation presented contingent on errors facilitated learning of this task. Together, the 3 studies provide further support for the hypothesis that reinforcers directly influence labile memory processes (such as short-term memory) and thereby improve learning.

Animals

Students can learn medicine with computers. Evaluation of an interactive computer learning package in geriatric medicine.

OBJECTIVE: To assess the effectiveness of a computer-aided learning program on dementia. DESIGN: Fourth year medical students were arbitrarily assigned to groups that used a computer-aided learning program (65) or had a tutorial covering similar material (73). These sessions were in addition to a base curriculum in a two-week course in geriatric medicine. MAIN OUTCOME MEASURES: The effectiveness of the teaching sessions was judged by the performance on a multiple choice questionnaire about dementia, given to the students on two occasions, one at the beginning and one at the end of the two-week course. RESULTS: Both groups of students scored significantly better on the second test (computer group, 66% [95% confidence interval, 64-69] to 81% [79-83] and tutorial group, 66% [63-67] to 74% [73-77]). The difference between the groups at the start of the course was not significant (F1,136 = 0.61, P = 0.61); however, there was a significant difference between the groups at the end of the course (F1,136 = 21.83, P < 0.001). CONCLUSION: Both groups improved their knowledge of dementia during the two-week course. Students who used the computer-aided learning programs showed a greater improvement in score. Computer learning programs are effective learning tools and are a useful addition to traditional teaching methods. Further study is required to assess the effects of computer-aided learning programs in long-term studies of dementia knowledge.

Computer Literacy

Effect of specific teaching techniques on cognitive learning, transfer of learning, and affective behavior of nurses in an in-service education setting.

To test the effects of different teaching techniques on learning, transfer of learning, and affective behavior of nurses, three hypotheses were developed based on Gagne's Theory of Knowledge Acquisition, Ellis' Theory of Transfer of Learning, and Bloom's Theory of Affective Consequences of Knowledge. The hypotheses tested were that an experimental (E) group will learn, transfer, and demonstrate affective behaviors significantly more than control groups. Subjects were 131 staff nurses. The E group (N=36) was taught by means of filmstrip with discussion (FD). Control groups II, III, and IV (N=33, 31, and 31 subjects, respectively) were taught by means of lecture alone (L), lecture with discussion (LD), and filmstrip alone (F), respectively. The content taught was Engel's Theory of Grief and Mourning Process. Pre- and posttests were done to obtain measures on learning and transfer. Results showed that the E group transferred significantly more than the L group; in general, all groups showed significant increases in learning and transfer; film groups transferred significantly more than the lecture groups; subjects preferred LD and FD significantly more than F or L. Implications were made for education of patients, students, and staff.

Affect

Cholinergic mechanisms in the learning and memory facilitating effect of the central stimulants. III. Influence of the anticholinergic agents on the learning and memory facilitating effect of amphetamine.

In experiments involving training of albino rats in a maze it has been established that amphetamine in a dose of 0.5 mg/kg introduced 15 min before learning has almost no effect, in a dose of 2 mg/kg it slightly deteriorates learning and retention, while in a dose of 1 mg/kg both learning and retention are markedly improved. However, introduced immediately after training, all three doses tested improve retention upon testing 24 hours and 14 days after training. Upon blocking of the central muscarine-sensitive cholinergic structures (scopolamine 2 mg/kg) and of the nicotine-sensitive structures (spasmolytin 20 mg/kg), the learning and memory facilitating effect of amphetamine is not manifested in the two experimental setups (introduction before and after training). The results resemble the case of independent administration of cholinolytics only, i.e. complete blocking of learning and memory induced by scopolamine and considerable deterioration induced by spasmolytin. The results obtained show that the realization of the learning and retention facilitating effect of amphetamine requires optimum functional level of the activity of the central cholinergic system.

Amphetamine

Enhancement of spatial learning in F344 rats by physical activity and related learning-associated alterations in hippocampal and cortical cholinergic functioning.

The effects of physical activity on spatial memory performance and associated cholinergic function were examined in F344 rats. Cholinergic analysis included resting and depolarization-induced activation of high-affinity choline uptake and muscarinic receptor binding in the hippocampus, parietal cortex and frontal cortex. Rats that were physically trained, using chronic treadmill running, demonstrated significantly enhanced performance on the spatial learning task, both in second trial latency and first and second trial proximity ratio scores (P less than 0.002). Concomitant with enhanced behavioral performance were neurochemical changes of a reduction in hippocampal high-affinity choline uptake, an upregulation of muscarinic receptor density, and an increase in high-affinity choline uptake 24 h after spatial memory testing (P less than 0.05). Spatial memory tested rats demonstrated enhanced depolarization-induced activation of high-affinity choline uptake (P less than 0.001). Rats that were yoked for swim time to spatial memory tested rats did not show any spatial learning-induced alterations in high affinity choline uptake. These spatial learning- and physical activity-induced cholinergic alterations were observed only in the hippocampus, not in the parietal or frontal cortex. These data indicate that the chronic running-induced alterations in hippocampal high-affinity choline uptake and upregulation of muscarinic receptor density, in combination with enhancement of high-affinity choline uptake related to spatial learning, may contribute to the enhanced spatial learning performance of chronic-run rats.

Animals

Accurate prediction of toxicity peptide and its function using multi-view tensor learning and latent semantic learning framework.

MOTIVATION: Therapeutic peptide is an important ingredient in the treatment of various diseases and drug discovery. The toxicity of peptides is one of the major challenges in peptide drug therapy. With the abundance of therapeutic peptides generated in the post-genomics era, it is a challenge to promptly identify toxicity peptides using computational methods. Although several efforts have been made, few algorithms are designed to identify whether a query peptide exhibits toxicity. Considering the varied levels of biological activities, the toxicity peptides should be further classified into multi-functional peptides. RESULTS: This study introduces a two-level predictor, ToxPre-2L, developed using the multi-view tensor learning and latent semantic learning framework. The proposed method utilized multi-label learning with feature induced labels to avoid the redundancy of information from each view. Then the multi-view tensor learning was employed to establish the latent semantic information among different views, while low-rank constraint learning was leveraged to exploit the correlation information among multi-labels. Finally, we constructed an updated toxicity peptide benchmark dataset to assess the effectiveness of the proposed method. Experimental results demonstrated that ToxPre-2L achieves a better performance than alternative computational methods in the prediction of toxicity peptides and their multi-functional types. AVAILABILITY AND IMPLEMENTATION: The source code and data of ToxPre-2L can be accessed at http://bliulab.net/ToxPre-2L.

Peptides

ORBIT: Oncogenic Representation Learning via Bi-Prototype Contrastive Learning in Hyperbolic Space for cancer driver gene identification.

Accurate identification of cancer driver genes is crucial for precision oncology but remains challenging due to the complexity of integrating heterogeneous data and modeling dynamic biological systems. To address these limitations, we propose ORBIT (Oncogenic Representation Learning via Bi-Prototype Contrastive Learning in Hyperbolic Space). Our framework synergistically fuses multi-omics profiles with functional network data using a context-adaptive graph reweighting mechanism to capture cancer-specific dynamics. The model employs a bi-prototype contrastive learning strategy within hyperbolic space, which aligns gene representations around distinct driver and non-driver semantic anchors while preserving the intrinsic hierarchy of biological networks. Comprehensive evaluations demonstrate that ORBIT achieves highly competitive stability in pan-cancer analysis while consistently outperforming state-of-the-art methods in cancer-specific predictions. Furthermore, functional enrichment analysis confirms that the model effectively segregates core cancer pathways, and drug sensitivity profiling validates the clinical relevance of the identified drivers. By integrating hyperbolic geometry with context-adaptive learning, ORBIT offers a robust and interpretable paradigm for precision medicine. The source codes and datasets are publicly accessible at https://github.com/spcho-dev/ORBIT.

Humans

Implicit and explicit statistical learning in reading: Evidence from a randomized controlled-learning study and computational modeling.

A key challenge in reading acquisition is understanding how learners extract the complex probabilistic mappings between print, meaning, and sound. Statistical learning (SL) theory offers a mechanistic account of how such mappings are acquired, whether implicitly through exposure or explicitly through instruction. We conducted a randomized controlled-learning study in Chinese, a writing system characterized by multiple sub-lexical regularities linking orthography, semantics, and phonology. Ninety-five 2nd-3rd graders with or at risk for dyslexia were randomly assigned to one of three groups: an implicit-SL training group exposed to repeated lexical and sublexical orthography-semantics-phonology associations, an explicit-SL training group receiving the same input plus explicit instruction on the sublexical print-sound mapping, and a no-SL control group. Both SL groups outperformed controls on the characters they were trained on, as well as on untrained characters that required generalization. However, only the explicit group demonstrated abstraction of print-sound mapping to novel items. Neural network simulations further revealed distinct mechanisms supporting implicit and explicit SL, consistent with a dual-system account of reading acquisition. Together, these findings (1) clarify how implicit and explicit learning distinctly support the discovery of statistical structure in written language and (2) underscore the implicit-explicit dual learning mechanism underlying reading acquisition.

Humans

Learning behaviour in chronic vitamin E-deficient and -supplemented rats: radial arm maze learning and passive avoidance response.

The effects of long-term vitamin E deficiency and supplementation on learning behaviour were investigated. Rats were fed vitamin E-deficient [VE(-)], -supplemented [VE(+)], or control standard food beginning after the age of 4 weeks. They were trained in an eight-arm radial maze learning task at the age of 17 months, and in a step-through passive avoidance response (PAR) task at the age of 25 months. In the radial maze task, both VE(-) and VE(+) animals required as many trials to reach the learning criterion as control animals. Scopolamine injection (0.25-0.5 mg/kg) after acquisition of the task decreased the number of correct choices dose-dependently; however, the degree of the drug effect on VE(-) and VE(+) rats did not differ from that on control rats. On the other hand, VE(-) animals showed significantly lower rate of avoidance response and VE(+) animals tended to show higher rate of avoidance response in the PAR task than did control animals. These results suggest that long-term vitamin E deficiency or supplementation does not influence general ability to acquire and maintain memory tasks in rats, but that it may affect learning behaviour, depending on the kind of task in which animals were trained.

Age Factors

Aging in the rhesus monkey: effects on visual discrimination learning and reversal learning.

The behavior of aged rhesus monkeys (18 years and older) was compared to that of young monkeys (3 to 6 years old) to evaluate their relative abilities to learn a series of visual discrimination and discrimination reversal problems. Using a subject-paced, automated experimental procedure designed to optimize stimulus control and facilitate execution of choice responses, no consistent age-related differences were observed in the ability to learn new color and pattern discrimination problems of varying difficulty. However, a severe and consistent deficity on reversal learning did occur. A detailed analysis of this deficit revealed that not only did the aged monkeys take longer to extinguish the old habit and return to chance performance, but they continued to display a deficit in establishing accurate performance at above-chance levels as well. Since no reliable age differences were observed on the original discrimination learning problems, these data suggest that aging impairs mechanisms involved with response rigidity and/or susceptibility to intertrial proactive interference, more severely than those involved with the simple formation of new associations.

Aging

Learned helplessness and learned effectiveness: effects of explicit response cues on individuals differing in personal control expectancies.

Female undergraduates (n = 62) who scored as extreme internals or externals on the Mirels Personal Fate Control Scale participated in a partial replication of Hiroto's learned helplessness experiment. Lights were added to the treatment apparatus, which made explicit to subjects the contingency or noncontingency between their responses and the termination of an aversive tone. As predicted, the performance of internals was significantly impaired by uncontrollability (learned helplessness), while that of externals was facilitated by controllability (learned effectiveness). Externals performed as well as internals in the "escapable" condition, but their performance was inferior to that of internals in the control condition. Following "inescapable" treatment, internals performed worse than externals. These results are supportive of Lefcourt's theory of cue explication. Implications for locus of control and learned helplessness research are discussed.

Acoustic Stimulation