Category Membership Research Articles

Examining conceptual generalisation after acquisition, extinction, and reinstatement in evaluative conditioning.

In evaluative conditioning, a neutral conditional stimulus (CS) acquires the valence of a pleasant or unpleasant unconditional stimulus (US) after the CS and US are paired (acquisition). Valence acquired by the CS can generalise to other stimuli from the same category. Presenting the CS alone can reduce evaluative conditioning (extinction), but evaluations can return after the US is presented alone (reinstatement). The current research investigated whether extinction and reinstatement generalise to other category members (generalisation stimuli, GS). In Experiment 1, evaluations generalised in acquisition after conditioning with one category exemplar, but GS evaluations were unaffected by extinction and reinstatement. In Experiment 2, we aimed to enhance generalisation by presenting multiple category exemplars during conditioning. This strengthened the generalisation of evaluations in extinction but not reinstatement. In Experiment 3, conditioning with multiple exemplars caused explicit and implicit evaluations (measured using an affective priming task) to generalise in acquisition but not in extinction or reinstatement. The acquisition and extinction of US expectancy generalised in all experiments, but the reinstatement generalised in Experiment 3 only. Overall, we found partial evidence of evaluative generalisation during extinction (but not reinstatement) and demonstrated that the extinction and reinstatement of US expectancy generalises in evaluative conditioning.

Open set identification of malicious encrypted traffic based on multi-feature fusion

In the current network environment, an increasing amount of malicious traffic is transmitted through encrypted channels, carrying control commands and data. With the continuous development of communication protocols and applications, new types of malicious encrypted traffic are emerging, posing significant challenges for network management (e.g., traffic engineering). Therefore, accurately identifying malicious traffic in complex open network spaces has become a hot research topic in network security. In this study, we draw inspiration from channel theory in image science and innovatively convert traffic data into Red-Green-Blue (RGB) image format to achieve the fusion of multiple features. Inspired by image recognition technologies, we have designed a multi-granularity network model that integrates both global and local features, serving as our core network architecture. At the top of the model, we have equipped each known category with a unique autoencoder, using its generated manifold to replace traditional prototypes for model construction. Classification is accomplished through a scoring mechanism that evaluates category membership and by setting thresholds to achieve open set recognition of unknown categories. Relying on our self-created dataset,Malicious and Encrypted Traffic 2024 (MNET2024), we conduct a series of extensive experiments. The results demonstrate that our proposed method exhibits outstanding performance in both closed-set and open-set recognition tasks.

Clearing Up Confusion: The Effect of Outlier Similarity on IPO Underpricing

Prior research demonstrates that audiences tend to converge in their valuations of firms similar to preexisting category prototypes or exemplars. Much less is known of the influence of salient outliers, specific firms that receive market-wide attention due to their extreme, ambiguous performance, on audiences’ valuations. We argue that outlier similarity, by contrast with prototype similarity, leads to divergent valuations among individual investors. We explore this insight in the context of initial public offerings (IPOs). In this context, converging valuations among investors lead to limited information asymmetry concerns and hence reduced underpricing on the first day of trading of an issuing firm. Hence, we expect that prototype similarity leads to lower underpricing while outlier similarity leads to higher underpricing. We test our hypotheses using a sample of 2,488 U.S. IPOs from 1996 to 2015, measuring prototype and outlier similarity through a natural language processing technique applied to nearly 160,000 financial documents. We find that in low-tech industries, where prototypes are informative about category members, prototype similarity reduces underpricing, but not in high-tech industries. Additionally, we find that outlier similarity increases underpricing, especially for more recent outliers. This paper contributes to the literature on market valuation and market categories, and advances research on meaning and culture using new text-based computational methods.

Islam and ethnic tolerance: assessing Kyrgyz’ Muslim religiosity and acceptance of Uzbeks in Kyrgyzstan

ABSTRACT Using a national opinion survey conducted in 2009 in Kyrgyzstan, we focused on responses from ethnic Kyrgyz respondents in the south where major riots between Kyrgyz and Uzbeks occurred in 1990 and 2010. We performed latent class analyses on these responses to assign Kyrgyz into Muslim religiosity categories and construct a social distance scale to measure Kyrgyz’ levels of acceptance of Uzbeks living in Kyrgyzstan. We discovered that, in spite of ongoing unresolved interethnic grievances in the south, Kyrgyz who were members of the highly active Muslim religiosity category exhibited a significantly higher probability for accepting the closest relations (kin through marriage) with Uzbeks than Kyrgyz who were members of the non-religious category. Because other researchers indicated that religion did not play any role in causing the riots in 2010, we believe that Muslim religiosity could potentially play a role in developing beneficial relations between these ethnic groups.

Semantic priming by task-irrelevant speech: category-level or item-level processing?

ABSTRACT Recent studies show that task-irrelevant speech affects subsequent behaviour. For instance, category-exemplar production is primed if those exemplars were previously auditory distractors that accompanied the presentation of visual digits for serial recall (Röer et al., 2017. Semantic priming by irrelevant speech. Psychonomic Bulletin & Review, 24(4), 1205–1210. https://doi.org/10.3758/s13423-016-1186-3). This study examines semantic organisation as a boundary condition for the semantic priming effect. In a between-participants design, sequences of auditory distractors were either semantically organised (eight exemplars from one category) or random (one exemplar from each of eight categories). Semantic priming was measured by comparing production probability of previously encountered words against a matched unencountered set. Prior research indicates that an unexpected categorical change in task-irrelevant speech disrupts performance, suggesting processing of shared categorical membership enhances semantic priming (e.g. Vachon et al., 2020. The automaticity of semantic processing revisited: Auditory distraction by a categorical deviation. Journal of Experimental Psychology: General, 149(7), 1360–1397. https://doi.org/10.1037/xge000071). Consistent with these findings, semantic priming was found when distractor words were semantically organised but was absent with randomly presented exemplars, offering insight into the semantic processing of background sound.

Learning traps and change blindness in dynamic environments.

Learning traps arise when early experience leads to a false belief about the reward structure of the environment which, in turn, leads to avoidance of rewarding options. Previous work on the negative effects of such traps has focused on static learning environments. The current work examines an additional negative effect of learning traps in dynamic environments-blindness to change in the features that predict decision outcomes. In two experiments (N = 416), participants had to decide whether to approach members of two different categories, respectively associated with either gains or losses. Early in learning, a category rule involving two feature dimensions predicted category membership. Subsequently, there was a change in the feature composition of this rule. When outcome feedback was only provided when an item was approached, a substantial proportion of participants fell into the trap of using a simple one-dimensional rule to guide approach decisions. Most of these participants did not notice the subsequent rule change and never learned the new rule. Signaling the possibility of rule change (Experiment 2) had no effect on change blindness for those in the learning trap but did improve learning of the new rule for those who initially avoided the trap. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

From Foe to Friend: Exploring State-Led Destigmatization

We seek to understand the distinctive process of state-led category destigmatization, extending an emergent stream of research on category destigmatization that has so far focused on the efforts of stigmatized members of categories. When a category conflicts with a prevailing ideology, internal actors may face such substantial barriers to destigmatization that the state—often motivated by the pragmatic benefits of that category’s success—must take a proactive role in the effort. Focusing on an extreme case, we explore the revival of the private business category in China through a longitudinal case study. We develop a grounded process model that highlights the interplay among the state, category members, and the public as a framework for understanding this type of destigmatization process. Our model also addresses dynamics that can emerge within the state when political power is divided between category proponents and opponents with competing ideological stances. Our study highlights the need for the state to balance destigmatization efforts with maintaining legitimacy, prompting iterative strategic adjustments based on local feedback, evolving public opinion, and intrastate competition between political factions. Our findings show that such adjustments may be needed even in authoritarian states, which are typically more coercive. In addition, we find that states can effectively use backstage strategies (e.g., regulatory leniency) and frontstage strategies (e.g., legislative change) in complementary ways to advance destigmatization while safeguarding the state’s legitimacy. Finally, we show that starting a category destigmatization effort by emphasizing the category’s pragmatic values (prior to advocating for moral reevaluation of the category) can mitigate ideological conflict and increase chances of successful destigmatization.

Semantic structures facilitate threat memory integration throughout the medial temporal lobe and medial prefrontal cortex

Emotional experiences can profoundly impact our conceptual model of the world, modifying how we represent and remember a host of information even indirectly associated with that experienced in the past. Yet, how a new emotional experience infiltrates and spreads across pre-existing semantic knowledge structures (e.g., categories) is unknown. We used a modified aversive sensory preconditioning paradigm in fMRI (n= 35) to investigate whether threat memories integrate with a pre-established category to alter the representation of the entire category. We observed selective but transient changes in the representation of conceptually related items in the amygdala, medial prefrontal cortex, and occipitotemporal cortex following threat conditioning to a simple cue (geometric shape) pre-associated with a different, but related, set of category exemplars. These representational changes persisted beyond 24h in the hippocampus and perirhinal cortex. Reactivation of the semantic category during threat conditioning, combined with activation of the hippocampus or medial prefrontal cortex, was predictive of subsequent amygdala reactivity toward novel category members at test. This provides evidence for online integration of emotional experiences into semantic categories, which then promotes threat generalization. Behaviorally, threat conditioning by proxy selectively and retroactively enhanced recognition memory and increased the perceived typicality of the semantic category indirectly associated with threat. These findings detail a complex route through which new emotional learning generalizes by modifying semantic structures built up over time and stored in memory as conceptual knowledge.

Neural correlates of phonetic categorization under auditory (phoneme) and visual (grapheme) modalities.

We tested whether the neural mechanisms of phonetic categorization are specific to speech sounds or generalize to graphemes (i.e., visual letters) of the same phonetic label. Given that linguistic experience shapes categorical processing, and letter-speech sound matching plays a crucial role during early reading acquisition, we hypothesized sound phoneme and visual grapheme tokens representing the same linguistic identity might recruit common neural substrates, despite originating from different sensory modalities. Behavioral and neuroelectric brain responses (ERPs) were acquired as participants categorized stimuli from sound (phoneme) and homologous letter (grapheme) continua each spanning a /da/ - /ga/ gradient. Behaviorally, listeners were faster and showed stronger categorization of phoneme compared to graphemes. At the neural level, multidimensional scaling of the EEG revealed responses self-organized in a categorial fashion such that tokens clustered within their respective modality beginning ∼150-250 ms after stimulus onset. Source-resolved ERPs further revealed modality-specific and overlapping brain regions supporting phonetic categorization. Left inferior frontal gyrus and auditory cortex showed stronger responses for sound category members compared to phonetically ambiguous tokens, whereas early visual cortices paralleled this categorical organization for graphemes. Auditory and visual categorization also recruited common visual association areas in extrastriate cortex but in opposite hemispheres (auditory = left; visual=right). Our findings reveal both auditory and visual sensory cortex supports categorical organization for phonetic labels within their respective modalities. However, a partial overlap in phoneme and grapheme processing among occipital brain areas implies the presence of an isomorphic, domain-general mapping for phonetic categories in dorsal visual system.

Contribution of El Niño Southern Oscillation (ENSO) Diversity to Low‐Frequency Changes in ENSO Variance

AbstractEl Niño Southern Oscillation (ENSO) diversity is characterized based on the longitudinal location of maximum sea surface temperature anomalies (SSTA) and amplitude in the tropical Pacific, as Central Pacific events are typically weaker than Eastern Pacific events. SSTA pattern and intensity undergo low‐frequency modulations, affecting ENSO prediction skill and remote impacts, and resulting in low‐frequency changes in ENSO variance. Yet, how different ENSO types contribute to these decadal variance changes remains unclear. Here, we decompose the low‐frequency changes of ENSO variance into contributions from ENSO diversity categories. We propose a fuzzy clustering of monthly SSTA to allow for non‐binary event category memberships, where each event can belong to different clusters. Our approach identifies two La Niña and three El Niño categories and shows that the major shift of ENSO variance in the mid‐1970s was associated with an increasing likelihood of strong La Niña and extreme El Niño events.

ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints

Recent text-to-image generative models have enabled us to transform our words into vibrant, captivating imagery. The surge of personalization techniques that has followed has also allowed us to imagine unique concepts in new scenes. However, an intriguing question remains: How can we generate a new , imaginary concept that has never been seen before? In this article, we present the task of creative text-to-image generation , where we seek to generate new members of a broad category (e.g., generating a pet that differs from all existing pets). We leverage the under-studied Diffusion Prior models and show that the creative generation problem can be formulated as an optimization process over the output space of the diffusion prior, resulting in a set of “prior constraints.” To keep our generated concept from converging into existing members, we incorporate a question-answering Vision-Language Model that adaptively adds new constraints to the optimization problem, encouraging the model to discover increasingly more unique creations. Finally, we show that our prior constraints can also serve as a strong mixing mechanism allowing us to create hybrids between generated concepts, introducing even more flexibility into the creative process.

Can Professionals Resist Cognitive Bias Elicited by the Visual System? Reversed Semantic Prime Effect and Decision Making in the Workplace: Reaction Times and Accuracy.

Information that comes from the environment reaches the brain-and-body system via sensory inputs that can operate outside of conscious awareness and influence decision processes in different ways. Specifically, decision-making processes can be influenced by various forms of implicit bias derived from individual-related factors (e.g., individual differences in decision-making style) and/or stimulus-related information, such as visual input. However, the relationship between these subjective and objective factors of decision making has not been investigated previously in professionals with varying seniority. This study explored the relationship between decision-making style and cognitive bias resistance in professionals compared with a group of newcomers in organisations. A visual "picture-picture" semantic priming task was proposed to the participants. The task was based on primes and probes' category membership (animals vs. objects), and after an animal prime stimulus presentation, the probe can be either five objects (incongruent condition) or five objects and an animal (congruent condition). Behavioural (i.e., accuracy-ACC, and reaction times-RTs) and self-report data (through the General Decision-Making Scale administration) were collected. RTs represent an indirect measure of the workload and cognitive effort required by the task, as they represent the time it takes the nervous system to receive and integrate incoming sensory information, inducing the body to react. For both groups, the same level of ACC in both conditions and higher RTs in the incongruent condition were found. Interestingly, for the group of professionals, the GDMS-dependent decision-making style negatively correlates with ACC and positively correlates with RTs in the congruent condition. These findings suggest that, under the incongruent decision condition, the resistance to cognitive bias requires the same level of cognitive effort, regardless of seniority. However, with advancing seniority, in the group of professionals, it has been demonstrated that a dependent decision-making style is associated with lower resistance to cognitive bias, especially in conditions that require simpler decisions. Whether this result depends on age or work experience needs to be disentangled from future studies.

A dissociation between the effects of expectations and attention in selective visual processing

It is often claimed that probabilistic expectations affect visual perception directly, without mediation by selective attention. However, these claims have been disputed, as effects of expectation and attention are notoriously hard to dissociate experimentally. In this study, we used a new approach to separate expectations from attention. In four experiments (N = 60), participants searched for a target in a rapid serial visual presentation (RSVP) stream and had to identify a digit or a letter defined by a low-level cue (colour or shape). Expectations about the target's alphanumeric category were probabilistically manipulated. Since category membership is a high-level feature and since the target was embedded among many distractors that shared its category, targets from the expected category should not attract attention more than targets from the unexpected category. In the first experiment, these targets were more likely to be identified relative to targets from the unexpected category. Importantly, in the following experiments, we also included behavioural and electrophysiological indices of attentional guidance and engagement. This allowed us to examine whether expectations also modulated these or earlier attentional processes. Results showed that category-based expectations had no modulatory effects on attention, and only affected processing at later encoding-related stages. Alternative interpretation of expectation effects in terms of repetition priming or response bias were also ruled out. These observations provide new evidence for direct attention-independent expectation effects on perception. We suggest that expectations can adjust the threshold required for encoding expectations-congruent information, thereby affecting the speed with which target objects are encoded in working memory.

Prototypical English every days’ Phrases Utilized via College

The researcher , in the current study , studies one of the human categorization theories which is known as ‘ prototype theory’ . He sets a questionnaire to fourth class students at Kirkuk university by using the prototype theory . A good number of every days’ expressions is used as data . The students are required to choose one of the tabulated expressions and give the reason of choosing that expression as well . The reasons ( factors) are the taxonomy of the used model . Two analysis methods namely qualitative and quantitative are followed to arrive at the desired results . The aims of the study are ( 1) showing what can influence the typical member . (2) Showing how people are distinct in creating the prototype. Its hypotheses are (1) each individual has his / her own prototype . (2) The social factors like ( age , religion , one’s background knowledge , etc …) have roles in the formation of the prototype . The study is concluded with points like the context has a well-built relation with the process of creating the prototypical category member .

MRD‐GAN: Multi‐representation discrimination GAN for enhancing the diversity of the generated data

AbstractThe generative adversarial network (GAN) is a highly effective member of the generative models category and is extensively employed for generating realistic samples across various domains. The fundamental concept behind GAN involves two networks, a generator and a discriminator, competing against each other. During the training process, generator and discriminator networks encounter several issues that can potentially affect the quality and diversity of the generated samples. One such critical issue is mode collapse, where the generator fails to create varied samples. To tackle this issue, this article introduces a GAN approach called the multi‐representation discrimination GAN (MRD‐GAN). In this approach, the discriminator supports concurrent network discrimination flows to manage different representations of the data through various transformation functions, such as dimension rescaling, brightness adjustment, and gamma correction applied to the input data of the discriminator. We use a fusion function to aggregate the output of all flows and return a consolidated loss value to update the generator's weights. Hence, the discriminator conveys diverse feedback to the generator. The proposed approach has been evaluated on four distinct benchmarks, namely CelebA, Cifar‐10, Fashion‐Mnist, and Mnist. The experimental results demonstrate that the proposed approach surpasses the existing state‐of‐the‐art GAN models in terms of FID metric that measures the diversity of the generated samples. Significantly, the proposed approach demonstrates remarkable FID scores of 14.02, 30.19, 9.42, and 3.14 on the CelebA, Cifar‐10, Fashion‐Mnist, and Mnist datasets, respectively.

Pemanfaatan Digital Marketing untuk Meningkatkan Pemasaran Produk Makanan dan Brand Awareness Desa Kraton

Kraton Village is one of the villages in Jember Regency, precisely in Kencong District. Kraton Village has a population of 10,534, and 1,756 of them are households. Kencong District has several villages, including (1) Kraton Village, (2) Cakru Village, (3) Paseban Village, (4) Kencong Village, and (5) Wonorejo Village. Kraton Village itself consists of several hamlets, namely (1) Krajan Hamlet, (2) Sidonganti Hamlet, (3) Muneng Hamlet, and (4) Kedunglangkap Hamlet. A brand is a name, term, sign, symbol, design, or a combination of these that is intended to identify the product or service of a person or seller and to differentiate it from competitors' products or other similar products. Understanding brand awareness. Brand awareness is the ability of consumers to recognize or remember that a brand is a member of a certain product category. So in a business, the name or label becomes as important as the identity of a product. Service activities have been completed and reported in the form of an article in January 2024. The results of the implementation of this service generally help in the process of optimizing the food business in Kraton Village, both online and conventionally. With this program, food businesses are not only invited to sell products and market them online but are also invited to create innovative, creative products that can generate consumer interest in buying these products.

A hierarchy of processing complexity and timescales for natural sounds in human auditory cortex.

Efficient behavior is supported by humans' ability to rapidly recognize acoustically distinct sounds as members of a common category. Within auditory cortex, there are critical unanswered questions regarding the organization and dynamics of sound categorization. Here, we performed intracerebral recordings in the context of epilepsy surgery as 20 patient-participants listened to natural sounds. We built encoding models to predict neural responses using features of these sounds extracted from different layers within a sound-categorization deep neural network (DNN). This approach yielded highly accurate models of neural responses throughout auditory cortex. The complexity of a cortical site's representation (measured by the depth of the DNN layer that produced the best model) was closely related to its anatomical location, with shallow, middle, and deep layers of the DNN associated with core (primary auditory cortex), lateral belt, and parabelt regions, respectively. Smoothly varying gradients of representational complexity also existed within these regions, with complexity increasing along a posteromedial-to-anterolateral direction in core and lateral belt, and along posterior-to-anterior and dorsal-to-ventral dimensions in parabelt. When we estimated the time window over which each recording site integrates information, we found shorter integration windows in core relative to lateral belt and parabelt. Lastly, we found a relationship between the length of the integration window and the complexity of information processing within core (but not lateral belt or parabelt). These findings suggest hierarchies of timescales and processing complexity, and their interrelationship, represent a functional organizational principle of the auditory stream that underlies our perception of complex, abstract auditory information.

Words do not just label concepts: activating superordinate categories through labels, lists, and definitions

ABSTRACT We investigate the interface between concepts and word meanings by asking English speakers to list members of superordinate categories under one of three conditions: (1) when cued by a label (e.g. animals), (2) an exemplar list (e.g. dog, cat, mouse), or (3) a definition (e.g. “living creatures that roam the Earth”). We find that categories activated by labels lead to participants listing more category-typical responses, as quantified through typicality ratings, similarity in word embedding space, and accuracy in guessing category labels. This effect is stronger for some categories than others (e.g. stronger for appetizers than animals). These results support the view that a word is not merely a label for a concept, but rather a unique way of accessing and organizing conceptual space.

New fractional classifications of papers based on two generations of references and on the ASJC scopus scheme

This paper presents and evaluates a set of methods to classify individual Scopus publications using their references back to the second generation, where each publication can be assigned fractionally into up to five ASJC (All Science Journal Classifications) categories, excluding the Multidisciplinary area and the miscellaneous categories. Based on proposals by Glänzel et al. (Glänzel et al., Scientometrics 44:427–439, 1999a, Glänzel et al., Scientometrics 46:431–441, 1999b, Glänzel, W., Thijs, B., & Huang, Y. (2021). Improving the precision of subject assignment for disparity measurement in studies of interdisciplinary research. In: W. Glänzel, S. Heeffer, PS. Chi, R. Rousseau (eds), Proceedings of the 18th International Conference of the International Society of Scientometrics and Informetrics (ISSI 2021), Leuven University Press, pp. 453–464. https://kuleuven.limo.libis.be/discovery/fulldisplay?docid=lirias3394551&context=SearchWebhook&vid=32KUL_KUL:Lirias&search_scope=lirias_profile&tab=LIRIAS&adaptor=SearchWebhook&lang=en), some additional parameters are established that allow different results to be obtained depending on how category membership is weighted or how the acceptance thresholds for multiple assignments are established. Various classifications are obtained, and then compared with each other, with the original ASJC Scopus journal classification, and with the AAC (Author’s Assignation Collection) classification of a previous study (Álvarez-Llorente et al., Álvarez-Llorente et al., Profesional de la Información, 2023) in which the papers’ corresponding authors assign them the most appropriate categories. Classifications in which a high threshold is set for allowing assignments to multiple categories, combined with the use of first- and second-generation references and averaging over the number of references, provide the most promising results, improving over other reference-based reclassification proposals in terms of granularity, and over the Scopus classification itself in such aspects as the homogeneity of the publications assigned to a category. They also show greater coincidence with the AAC classification.

Following community norms or an internal compass? The role of prospective leaders' social category membership in the differential effects of authentic and ethical leadership on stereotype threat.

Increasing racial diversity in organizations remains a challenge, as stereotype threat undermines the performance and career aspirations of minority group members during job recruitment. The present study examines how prospective leaders can leverage their influence on their followers' identities to mitigate the stereotype threat Black individuals face in this context. We explore the effects of two moral leadership styles (ethical vs. authentic) on stereotype threat in the context of recruitment. Specifically, we investigate whether prospective leaders' ingroup status moderates the relationship between ethical versus authentic leadership styles and candidates' stereotype threat during the selection process and candidates' willingness to join the organization. To this end, we conducted four experiments with Black residents of Brazilian favelas (impoverished neighborhoods), two of which included real-world job recruitment processes and physiological measures of stress (i.e., salivary cortisol and blood pressure). The results indicate that when the prospective leaders are from the outgroup, displaying ethical leadership by relying on community norms is more helpful in reducing Black candidates' threat and, in turn, promotes willingness to apply for the job. In contrast, when the leader is from the ingroup, displaying authentic leadership by emphasizing the importance of an internal moral compass is more helpful in reducing threat, and this effect is mediated by the identity process of inclusion of the leader in the self. Overall, the present study suggests that prospective direct supervisors have the critical ability to reduce stereotype threat, which can negatively affect Black applicants and their desire to join organizations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).