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We extend the prophet inequality problem to a competitive setting. At every period, a new realization of a random variable with a known distribution arrives, which is publicly observed. Then, two players simultaneously decide whether to pick an available value or to pass and wait until the next period (ties are broken uniformly at random). As soon as a player gets a value, he leaves the market and his payoff is the value of this realization. In the first variant, namely the "no recall" case, the agents can only bid at each period for the current value. In a second variant, the "full recall" case, the agents can also bid for any of the previous realizations which has not been already selected. For each variant, we study the subgame-perfect Nash equilibrium payoffs of the corresponding game. More specifically, we give a full characterization in the full recall case and show in particular that the expected payoffs of the players at any equilibrium are always equal, whereas in the no recall case the set of equilibrium payoffs typically has full dimension. Regarding the welfare at equilibrium, surprisingly the best equilibrium payoff a player can have may be strictly higher in the no recall case. However, the sum of equilibrium payoffs is weakly larger when the players have full recall. Finally, we show that in the case of 2 arrivals and arbitrary distributions, the prices of Anarchy and Stability in the no recall case are at most 4/3, and this bound is tight. [ABSTRACT FROM AUTHOR]

Drawing a referent of a to-be-remembered word often results in better recognition and recall of this word relative to a control task in which the word is written, a pattern dubbed the drawing effect. Although this effect is not always found in pure lists, we report three experiments in which the drawing effect emerged in both pure- and mixed-lists on recognition and recall tests, though the effect was larger in mixed lists. Our experiments then compared drawing effects on memory between pure- and mixed-list contexts to determine whether the larger mixed-list drawing effect reflected a benefit to draw items, a cost to write items, or a combination. In delayed recognition and free-recall tests, a mixed-list benefit emerged for draw items in which memory for mixed-list draw items was greater than pure-list draw items. This mixed-list drawing benefit was accompanied by a mixed-list writing cost compared to pure-list write items, indicating that the mixed-list drawing effect does not operate cost-free. Our findings of a pure-list drawing effect are consistent with a memory strength account, however, the larger drawing effect in mixed lists suggest that participants may also deploy a distinctiveness heuristic to aid retrieval of drawn items. [ABSTRACT FROM AUTHOR]

Intrusion Detection Model (IDM) is an essential device for network defence in current trend. Malicious users analyse the vulnerabilities of IDSs to capture unauthorized access. Furthermore, intrusion detection encompasses numerous numerical attributes and models, resulting in elevated detection errors and triggering false alarms. Hence, optimal computational intelligence shall be incorporated in IDM to achieve high detection rate and less number of false alarms. Considering the same, a new hybrid IDM framework is developed as the combination of Fuzzy Genetic Algorithm with Multi-Objective Particle Swarm Optimization that maximizes the detection accuracy, minimizes the false alarms and takes less computational complexity which will be explained first phase. The existing IDSs are constraint to the information trained incur into false positives based on user continuity for normal activity. The objective of this proposal is to extract optimal classification rules automatically from training data that helps to identify types of attacks correctly including the unknown attack types. For achieving this goal, Multi-Objective Particle Swarm Optimization (MOPSO) is used as classifier to enhance the identification of the rare attack classes within the IDM. The effectiveness of this method lies in its capacity to leverage information within an unfamiliar search space, guiding subsequent searches towards valuable subspaces. It provides better separability of various classes' i.e. normal behaviour and false alarms. In this FGA-MOPSO model, Principal Component Analysis (PCA) serves as the feature selection technique employed to identify pertinent features within the dataset, thereby enhancing the classifier's performance and Fuzzy Genetic Algorithm (FGA) is used to create new population for training the classifier with the help of three operations namely selection, crossover and mutation that helps to practice more patterns in training phase and to obtain better understanding of the proposed classifier. The simulation will illustrate that the system is competent to speed-up the training and testing process of intrusions detection is important for network applications.Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author 1 Given name: [Arun Kumar] Last name [Ramamoorthy]. Also, kindly confirm the details in the metadata are correct.Checked and Verified for Author 1. In Author 2 name, Given Name was [K.] and last name was[Karuppasamy], But its is just the opposite. Given Name is [Karuppasamy] and Last Name is [K.]. I have edited it. [ABSTRACT FROM AUTHOR]

Background: The causality assessment tool can be utilized to assist patients in identifying adverse drug reactions (ADRs). Aim: To evaluate the accuracy of the causality assessment tool for patients identifying ADRs compared to assessments made by pharmacists, and to explore how patients recall and recognize symptoms as ADRs. Method: Mixed methods study consisting of self-administered questionnaires (phase 1) and semi-structured, face-to-face interviews (phase 2) with patients who had experienced ADRs in the past year at a tertiary care hospital in Thailand. Results: Out of 769 questionnaires, 716 were returned and 622 of these were both valid and had at least one ADR (86.8%). Classification of patient-reported symptoms using the causality assessment tool found 12 (1.9%) highly-probable ADRs, 399 (64.1%) probable ADRs, 207 (33.3%) possible ADRs, and 4 (0.6%) that were not classified as ADRs. There was fair agreement between patient-assessed and pharmacist-assessed causality classifications using the Naranjo algorithm (K = 0.268) and the World Health Organization Uppsala Monitoring Centre (WHO-UMC) criteria (K = 0.373). The timing relationship between the occurrence of symptoms and administration of a suspected drug was the most frequently mentioned reason that patients gave for recalling and recognizing suspected ADRs. Conclusion: Promoting the causality assessment tool for use by patients in collaboration with healthcare professionals is likely to enhance patients' ability to correctly identify ADRs and ultimately contribute to increased medication safety. [ABSTRACT FROM AUTHOR]

Thunderstorms are natural disasters that impact people, animals, and the economy. Thunderstorms' detrimental repercussions can be avoided by identifying their occurrence in advance. The current work, in this respect, uses soft computing techniques such as K-Nearest Neighbour (KNN), Decision Tree (DT), Logistic Regression (LR), and Support Vector Machine (SVM) with various kernel functions to categorize the occurrence of thunderstorms over Ranchi, India. These techniques were trained and tested using two data sets: daily average and hourly meteorological datasets. The primary purpose of this study is to find which dataset-classifier combination is optimal for categorizing thunderstorm occurrence in Ranchi. No classifier was found to adequately classify either the Day Average Dataset or the Modified Day Average Dataset. On the other hand, the Hourly Dataset was found to be more balanced in terms of the number of thunderstorms that occurred than the Day Average and Modified Average datasets. The F-Score value of the incidence of thunderstorm incidents after using different classifiers was used to compare the outcomes of these datasets. The results reveal that using SVM with radial basis function. The Hourly Dataset is the best for thunderstorm day classification. For the overall and only incidence of thunderstorms classes, SVM-RBF gets 0.81 and 0.74 F-Scores, respectively. Other approaches, like grid search and Bagging, have been used to increase SVM-RBF performance. Grid search and Bagging are used on SVM-RBF to produce a hybrid Grid-Bag-SVM-RBF classifier with 82.04% accuracy and F-scores of 0.83 and 0.78 for overall and just thunderstorm occurrence, respectively. [ABSTRACT FROM AUTHOR]

Educational materials for preschool children are often embedded with fantastical elements. Nevertheless, there is still little empirical evidence on their effectiveness, especially as concerns long-term retention. Virtual reality offers new ecological possibilities for investigating this type of learning, especially through the impact of immersion. In a between-design study, 168 children aged four to six years followed a virtual reality presentation on China presented by either a realistic young girl or an anthropomorphic animal. The level of immersion was manipulated, with half of the children following the presentation in immersive virtual reality (IVR) and the other half in desktop virtual reality (D-VR). Participants were asked to complete a new/old recognition task and a quiz task immediately after the presentation and once again one week later, with an additional transfer task being added for the second series. One week later, children performed significantly better on the new/old recognition task in the realistic condition when compared to the anthropomorphic condition. However, there were no differences observed in the quiz task and in the transfer task. It therefore seems that, under certain conditions, children remember a cultural presentation better when it is presented by a realistic avatar. The results further showed that the children performed significantly worse in the IVR conditions on all tasks. A possible explanation for this result is that IVR demands excessive cognitive resources from preschool children. Further studies should explore this unexpected result, as well as what could be done to make IVR effective for learning in preschool children. [ABSTRACT FROM AUTHOR]

Previous research established that readers acquire accurate and inaccurate information from fiction. The current study explored factors that might moderate these effects. Participants read fictional stories that each contained three assertions. The first two assertions in each story were either correct information or implausible misinformation, allowing a manipulation of the (implicit) credibility of the narrator. The last assertion in each story was the critical one, and was correct information, implausible misinformation, or plausible misinformation. After reading, participants answered general knowledge questions that were related to the critical assertions they encountered during reading. Encountering misinformation led to lower accuracy than being presented with correct information, and being presented with plausible misinformation led to higher production of that misinformation. The narrator credibility manipulation interacted with the type of critical assertion: When the critical assertion was presented accurately in a story, credible narrators presenting true critical assertions led to greater accuracy on the general knowledge test than when noncredible narrators presented this same information. These findings are discussed with respect to theories of validation during language comprehension. [ABSTRACT FROM AUTHOR]

This study examines the relationship between birth memory and recall and the perception of traumatic birth in women who were a postpartum one-year period and the affecting factors. This descriptive and correlational study was conducted with 285 participants in the pediatric department of a state university medical school. Data were collected using a participant information form, Birth Memories and Recall Questionnaire, and Perception of Traumatic Childbirth Scale. In the study, it was determined that the women had a moderate level of birth memories and recall, and the rate of those with a "high" and "very high" perception of traumatic childbirth was 45.9%. According to path analysis, Birth Memories and Recall Questionnaire score and educational status (primary secondary school) have a positive and significant effect on the perception of traumatic birth. The perception of traumatic birth was a predictor that explained 17.3% of birth memories and recall. Nearly half of the study participants perceived the experience of giving birth as traumatic, and birth memories and recall were at a moderate level. Improving women's perception of education and traumatic birth will contribute to positive birth memories and to create positive emotions when they remember their birth. [ABSTRACT FROM AUTHOR]

The continuous advancement of computer networks has given rise to grave concerns regarding security and susceptibility. Network administrators utilize intrusion detection systems (IDS) to deliver essential network security. Current IDS devices produce false alarms in response to routine user activities rather than detecting novel assaults. Neural networks may be used to overcome this problem and increase detection accuracy. In this paper, we propose a hybrid approach based on neural networks and correlation-based feature selection to detect anomalies. Experimental research is done on the standard dataset NSL-KDD for intrusion detection using current attacks. We introduce a novel hybrid crowd search analysis optimization with an artificial neural network (HCSAOANN). The findings demonstrate that it outperforms in high accuracy, precision, F1-Score, and recall. In the proposed HCSAOANN algorithm, to explore the feature space, we merged the crow search optimization (CSO), which can converge into the overall best solution in the search function, with the upgraded version of the crow search analysis method. Some performance criteria were applied in the studies using an artificial neural network (ANN) as a classifier. The HCSAOANN methodology outperformed as compared to the previous fuzzy technique and achieved 98% accuracy and a 98% precision rate, which is 2.2% better than the previous CSO-ANFIS technique and 8.87% superior to the FC-ANN technique. [ABSTRACT FROM AUTHOR]

Individuals can take on various roles in conversation. Some roles are more active, with the participant responsible for guiding that conversation in pursuit of the group’s goals. Other roles are more passive, like when one is an overhearer. Classic accounts posit that overhearers do not form conversational common ground because they do not actively participate in the communication process. Indeed, empirical findings demonstrate that overhearers do not comprehend conversation as well as active participants. Little is known, however, about long-term memory for conversations in overhearers. Overhearers play an important role in legal settings and dispute resolution, and it is critical to understand how their memory differs in quality and content from active participants in conversation. Here we examine – for the first time – the impact of one’s conversational role as a speaker, addressee, or overhearer on subsequent memory for conversation. Data from 60 participants recalling 60 conversations reveal that after a brief delay, overhearers recall significantly less content from conversation compared to both speakers and addressees, and that the content they do recall is less accurately sourced to its actual contributor. Mnemonic similarity is higher between active conversational participants than between active participants and overhearers. These findings provide key support for the hypothesis that the process of forming common ground in interactive conversation shapes and supports memory for that conversation. [ABSTRACT FROM AUTHOR]

Motivational and emotional influences on memory have been studied extensively; however, despite the link between these constructs, they have been studied in separate lines of research, with very little work examining their effects concurrently. The current study takes a novel approach to manipulate motivational and emotional influences orthogonally, and within the same task, to test their interplay on intentional memory formation. If emotion and reward motivation are tightly linked, they may rely on overlapping cognitive mechanisms, thus we would not expect emotion and reward to interact in memory. Alternatively, they could be distinct constructs and therefore would boost memory when both are included in the same experimental trial, above and beyond additive effects. To test these competing predictions, in Experiment 1, participants (n = 180) completed an old/new recognition memory task with emotional (negative, positive) and neutral words intentionally encoded with high or low reward anticipation cues. In Experiment 2, participants (n = 159) encoded emotional and neutral words with a high or low reward cue, but memory was tested with free recall using study–test blocks. The findings from both experiments converged. There were main effects of emotion and reward in generally hypothesized directions, but no evidence of an interaction between these factors. This is in line with the prediction that emotion and reward motivation are similar constructs. Their combination within a trial does not boost memory above and beyond either of these factors alone perhaps indicating these constructs have similar cognitive mechanisms. [ABSTRACT FROM AUTHOR]

Purpose: We evaluated whether recalling personal achievements would result in an increase in feelings of pride, and if so, whether social anxiety (SA) moderated this relationship.Community samples were recruited in 2022 via the online platform Prolific. On average, participants in both studies were aged 32–33, had some post-secondary education, were married/cohabitating and self-identified as White (60%), Asian (10%) or Black (7%). Participants completed measures of state pride and affect before and after different types of writing tasks. Study 1 participants (N = 398) recalled and wrote about either one or three personal achievement experiences. To control for the general effects of self-reflection, Study 2 participants (N = 396) wrote about either achievement or non-achievement-oriented events.Mixed-model Time X Condition ANCOVAs were conducted with pride as the dependent variable and social anxiety as covariate. Both studies revealed significant increases in pride and positive affect following recall of achievement events, and (Study 2) no significant change following recall of non-achievement events. SA had no significant effect on change in pride, suggesting that SA did not suppress the benefits of achievement recall.Facilitating recall of personal achievements may help to heighten pride and positive affect regardless of social anxiety level. The results support further research on the role of pride in social anxiety.Methods: We evaluated whether recalling personal achievements would result in an increase in feelings of pride, and if so, whether social anxiety (SA) moderated this relationship.Community samples were recruited in 2022 via the online platform Prolific. On average, participants in both studies were aged 32–33, had some post-secondary education, were married/cohabitating and self-identified as White (60%), Asian (10%) or Black (7%). Participants completed measures of state pride and affect before and after different types of writing tasks. Study 1 participants (N = 398) recalled and wrote about either one or three personal achievement experiences. To control for the general effects of self-reflection, Study 2 participants (N = 396) wrote about either achievement or non-achievement-oriented events.Mixed-model Time X Condition ANCOVAs were conducted with pride as the dependent variable and social anxiety as covariate. Both studies revealed significant increases in pride and positive affect following recall of achievement events, and (Study 2) no significant change following recall of non-achievement events. SA had no significant effect on change in pride, suggesting that SA did not suppress the benefits of achievement recall.Facilitating recall of personal achievements may help to heighten pride and positive affect regardless of social anxiety level. The results support further research on the role of pride in social anxiety.Results: We evaluated whether recalling personal achievements would result in an increase in feelings of pride, and if so, whether social anxiety (SA) moderated this relationship.Community samples were recruited in 2022 via the online platform Prolific. On average, participants in both studies were aged 32–33, had some post-secondary education, were married/cohabitating and self-identified as White (60%), Asian (10%) or Black (7%). Participants completed measures of state pride and affect before and after different types of writing tasks. Study 1 participants (N = 398) recalled and wrote about either one or three personal achievement experiences. To control for the general effects of self-reflection, Study 2 participants (N = 396) wrote about either achievement or non-achievement-oriented events.Mixed-model Time X Condition ANCOVAs were conducted with pride as the dependent variable and social anxiety as covariate. Both studies revealed significant increases in pride and positive affect following recall of achievement events, and (Study 2) no significant change following recall of non-achievement events. SA had no significant effect on change in pride, suggesting that SA did not suppress the benefits of achievement recall.Facilitating recall of personal achievements may help to heighten pride and positive affect regardless of social anxiety level. The results support further research on the role of pride in social anxiety.Conclusions: We evaluated whether recalling personal achievements would result in an increase in feelings of pride, and if so, whether social anxiety (SA) moderated this relationship.Community samples were recruited in 2022 via the online platform Prolific. On average, participants in both studies were aged 32–33, had some post-secondary education, were married/cohabitating and self-identified as White (60%), Asian (10%) or Black (7%). Participants completed measures of state pride and affect before and after different types of writing tasks. Study 1 participants (N = 398) recalled and wrote about either one or three personal achievement experiences. To control for the general effects of self-reflection, Study 2 participants (N = 396) wrote about either achievement or non-achievement-oriented events.Mixed-model Time X Condition ANCOVAs were conducted with pride as the dependent variable and social anxiety as covariate. Both studies revealed significant increases in pride and positive affect following recall of achievement events, and (Study 2) no significant change following recall of non-achievement events. SA had no significant effect on change in pride, suggesting that SA did not suppress the benefits of achievement recall.Facilitating recall of personal achievements may help to heighten pride and positive affect regardless of social anxiety level. The results support further research on the role of pride in social anxiety. [ABSTRACT FROM AUTHOR]

When speech is presented in noise, listeners must recruit cognitive resources to resolve the mismatch between the noisy input and representations in memory. A consequence of this effortful listening is impaired memory for content presented earlier. In the first study on effortful listening, Rabbitt, The Quarterly Journal of Experimental Psychology, 20, 241–248 (1968; Experiment 2) found that recall for a list of digits was poorer when subsequent digits were presented with masking noise than without. Experiment 3 of that study extended this effect to more naturalistic, passage-length materials. Although the findings of Rabbitt’s Experiment 2 have been replicated multiple times, no work has assessed the robustness of Experiment 3. We conducted a replication attempt of Rabbitt’s Experiment 3 at three signal-to-noise ratios (SNRs). Results at one of the SNRs (Experiment 1a of the current study) were in the opposite direction from what Rabbitt, The Quarterly Journal of Experimental Psychology, 20, 241–248, (1968) reported – that is, speech was recalled more accurately when it was followed by speech presented in noise rather than in the clear – and results at the other two SNRs showed no effect of noise (Experiments 1b and 1c). In addition, reanalysis of a replication of Rabbitt’s seminal finding in his second experiment showed that the effect of effortful listening on previously presented information is transient. Thus, effortful listening caused by noise appears to only impair memory for information presented immediately before the noise, which may account for our finding that noise in the second-half of a long passage did not impair recall of information presented in the first half of the passage. [ABSTRACT FROM AUTHOR]

How does our environment impact what we will later remember? Early work in real-world environments suggested that having matching encoding/retrieval contexts improves memory. However, some laboratory-based studies have not replicated this advantageous context-dependent memory effect. Using virtual reality methods, we find support for context-dependent memory effects and examine an influence of memory schema and dynamic environments. Participants (N = 240) remembered more objects when in the same virtual environment (context) as during encoding. This traded-off with falsely “recognizing” more similar lures. Experimentally manipulating the virtual objects and environments revealed that a congruent object/environment schema aids recall (but not recognition), though a dynamic background does not. These findings further our understanding of when and how context affects our memory through a naturalistic approach to studying such effects. [ABSTRACT FROM AUTHOR]