CLASSIFICATION OF THE FOSSORIAL, PREDACEOUS AND PARASITIC WASPS, OR THE SUPERFAMILY VESPOIDEA

1902 ◽  
Vol 34 (7) ◽  
pp. 163-166 ◽  
Author(s):  
William. H. Ashmead
Keyword(s):  
Social Wasps ◽  
Female Worker ◽  
Parasitic Wasps ◽  
Social Bees ◽  
Paper Making ◽  
Social Species ◽  
The Social

This family is restricted to the paper-making wasps, all social species living in large communities and having three distinct sexes, female, worker and male, thus agreeing with the social bees, the Apidæ and Bombidæ, and with many ants, Dorylidæ, Myrmicidæ, Formicidæ, etc.In some species, too, like the ants, there appear to be two forms of the worker.Deceived by their habits, for structurally they are widely separated, Westwood and Packard thought the social wasps were allied to the Apidæ, and in their scheme of classification have placed them next to the bees, with which they having nothing in common.

CLASSIFICATION OF THE FOSSORIAL, PREDACEOUS AND PARASITIC WASPS, OR THE SUPERFAMILY VESPOIDEA

1902 ◽  
Vol 34 (8) ◽  
pp. 203-210 ◽  
Author(s):  
William. H. Ashmead
Keyword(s):  
Social Wasps ◽  
Parasitic Wasps ◽  
Tropical Countries ◽  
The Social ◽  
The Family ◽  
The World

To this family belong the potter wasps. They differ from the papermaking wasps in being solitary and in constructing their nests of mud or clay, instead of macerated woody fibre or pulp. It is perhaps one of the largest, if not the largest, families in the Vespidea, and is well represented in all parts of the world by many genera and species.The species superficially resemble the Vespidæ, but are quite distinct and are easily distinguished by the cleft or toothed claws, the claws never being simple or edentate as in the social wasps.The family, like the Vespidæ, has reached its greatest development in warm or tropical countries.

scholarly journals Dufour glands in the hymenopterans (Apidae, Formicidae, Vespidae): a review

2001 ◽  
Vol 61 (1) ◽  
pp. 95-106 ◽  
Author(s):  
F. C. ABDALLA ◽  
C. da CRUZ-LANDIM
Keyword(s):  
Chemical Composition ◽  
Kin Recognition ◽  
Nest Building ◽  
Dufour Gland ◽  
Poison Gland ◽  
Gland Secretion ◽  
Original Function ◽  
Social Bees ◽  
Social Species ◽  
The Social

Associated to the sting apparatus of the aculeate hymenopterans is found the poison gland, originated from the glands associated to the ovipositor of the non-aculeate hymenopterans and the less derived Dufour gland, homologue of the coletterial gland of other insects, and found in all hymenopteran females. The Dufour gland functions is mostly uncertain in hymenopterans but in ants it is involved with communication and defense and in non social bees with the nest building and protection. In wasps possibly with kin-recognition. Differences in morphology and chemical composition of the gland secretion were observed among species, in the same species, between the castes in the social species and among individual of the same caste playing different tasks or belonging to different nest. Its original function of egg-protective substance producing, or favoring the oviposition, appear to have been replaced or complemented in hymenopterans by the production of semiochemicals with function in communication.

Social-Psychological Models in Labor Motivation Analysis

2004 ◽  
pp. 90-101 ◽  
Author(s):  
A. Surkov
Keyword(s):  
Economic Analysis ◽  
Psychological Approach ◽  
Social Psychological ◽  
Economic Man ◽  
The Social ◽  
Psychological Models ◽  
Social Psychological Approach

Benefits of using social-psychological approach in the analysis of labor motivations are considered in the article. Classification of employees as objects of economic analysis is offered: "the economic man", "the man of the organization", "the social man" and "the asocial man". Related models give the opportunity to predict behavior of the firm in different situations, such as shocks of various nature.

Philosophcal review of h. white̕s tropological theory in the context of the new philosophy of history

2020 ◽  
Vol 3 (152) ◽  
pp. 92-99
Author(s):  
S. M. Geiko ◽  
◽  
O. D. Lauta
Keyword(s):  
Modern Science ◽  
Historical Knowledge ◽  
Text Organization ◽  
The Social ◽  
History Of ◽  
Actual Material ◽  
The Common ◽  
Historical Nature ◽  
Selection Of

The article provides a philosophical analysis of the tropological theory of the history of H. White. The researcher claims that history is a specific kind of literature, and the historical works is the connection of a certain set of research and narrative operations. The first type of operation answers the question of why the event happened this way and not the other. The second operation is the social description, the narrative of events, the intellectual act of organizing the actual material. According to H. White, this is where the set of ideas and preferences of the researcher begin to work, mainly of a literary and historical nature. Explanations are the main mechanism that becomes the common thread of the narrative. The are implemented through using plot (romantic, satire, comic and tragic) and trope systems – the main stylistic forms of text organization (metaphor, metonymy, synecdoche, irony). The latter decisively influenced for result of the work historians. Historiographical style follows the tropological model, the selection of which is determined by the historian’s individual language practice. When the choice is made, the imagination is ready to create a narrative. Therefore, the historical understanding, according to H. White, can only be tropological. H. White proposes a new methodology for historical research. During the discourse, adequate speech is created to analyze historical phenomena, which the philosopher defines as prefigurative tropological movement. This is how history is revealed through the art of anthropology. Thus, H. White’s tropical history theory offers modern science f meaningful and metatheoretically significant. The structure of concepts on which the classification of historiographical styles can be based and the predictive function of philosophy regarding historical knowledge can be refined.

scholarly journals Individual behavioural traits not social context affects learning about novel objects in archerfish

2021 ◽  
Vol 75 (3) ◽  
Author(s):  
Nick A. R. Jones ◽  
Helen C. Spence-Jones ◽  
Mike Webster ◽  
Luke Rendell
Keyword(s):  
Social Context ◽  
Social Environment ◽  
Social Contexts ◽  
Negative Effects ◽  
Behavioural Phenotype ◽  
Social Species ◽  
The Social ◽  
Social Animals ◽  
Novel Objects ◽  
The Individual

Abstract Learning can enable rapid behavioural responses to changing conditions but can depend on the social context and behavioural phenotype of the individual. Learning rates have been linked to consistent individual differences in behavioural traits, especially in situations which require engaging with novelty, but the social environment can also play an important role. The presence of others can modulate the effects of individual behavioural traits and afford access to social information that can reduce the need for ‘risky’ asocial learning. Most studies of social effects on learning are focused on more social species; however, such factors can be important even for less-social animals, including non-grouping or facultatively social species which may still derive benefit from social conditions. Using archerfish, Toxotes chatareus, which exhibit high levels of intra-specific competition and do not show a strong preference for grouping, we explored the effect of social contexts on learning. Individually housed fish were assayed in an ‘open-field’ test and then trained to criterion in a task where fish learnt to shoot a novel cue for a food reward—with a conspecific neighbour visible either during training, outside of training or never (full, partial or no visible presence). Time to learn to shoot the novel cue differed across individuals but not across social context. This suggests that social context does not have a strong effect on learning in this non-obligatory social species; instead, it further highlights the importance that inter-individual variation in behavioural traits can have on learning. Significance statement Some individuals learn faster than others. Many factors can affect an animal’s learning rate—for example, its behavioural phenotype may make it more or less likely to engage with novel objects. The social environment can play a big role too—affecting learning directly and modifying the effects of an individual’s traits. Effects of social context on learning mostly come from highly social species, but recent research has focused on less-social animals. Archerfish display high intra-specific competition, and our study suggests that social context has no strong effect on their learning to shoot novel objects for rewards. Our results may have some relevance for social enrichment and welfare of this increasingly studied species, suggesting there are no negative effects of short- to medium-term isolation of this species—at least with regards to behavioural performance and learning tasks.

scholarly journals Automated Classification of Fake News Spreaders to Break the Misinformation Chain

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 248
Author(s):  
Simone Leonardi ◽  
Giuseppe Rizzo ◽  
Maurizio Morisio
Keyword(s):  
Social Media ◽  
Network Architecture ◽  
Diffusion Mechanism ◽  
Automated Classification ◽  
Fake News ◽  
Neural Network Architecture ◽  
User Classification ◽  
The Social ◽  
Network Topologies

In social media, users are spreading misinformation easily and without fact checking. In principle, they do not have a malicious intent, but their sharing leads to a socially dangerous diffusion mechanism. The motivations behind this behavior have been linked to a wide variety of social and personal outcomes, but these users are not easily identified. The existing solutions show how the analysis of linguistic signals in social media posts combined with the exploration of network topologies are effective in this field. These applications have some limitations such as focusing solely on the fake news shared and not understanding the typology of the user spreading them. In this paper, we propose a computational approach to extract features from the social media posts of these users to recognize who is a fake news spreader for a given topic. Thanks to the CoAID dataset, we start the analysis with 300 K users engaged on an online micro-blogging platform; then, we enriched the dataset by extending it to a collection of more than 1 M share actions and their associated posts on the platform. The proposed approach processes a batch of Twitter posts authored by users of the CoAID dataset and turns them into a high-dimensional matrix of features, which are then exploited by a deep neural network architecture based on transformers to perform user classification. We prove the effectiveness of our work by comparing the precision, recall, and f1 score of our model with different configurations and with a baseline classifier. We obtained an f1 score of 0.8076, obtaining an improvement from the state-of-the-art by 4%.

Polarity Classification of Arabic Sentiments

2016 ◽  
Vol 11 (3) ◽  
pp. 32-49 ◽  
Author(s):  
Mohammed N. Al-Kabi ◽  
Heider A. Wahsheh ◽  
Izzat M. Alsmadi
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Operating Characteristic ◽  
Opinion Mining ◽  
Online Social Network ◽  
The Social ◽  
Polarity Classification ◽  
Arabic Sentiment Analysis ◽  
Modern Standard

Sentiment Analysis/Opinion Mining is associated with social media and usually aims to automatically identify the polarities of different points of views of the users of the social media about different aspects of life. The polarity of a sentiment reflects the point view of its author about a certain issue. This study aims to present a new method to identify the polarity of Arabic reviews and comments whether they are written in Modern Standard Arabic (MSA), or one of the Arabic Dialects, and/or include Emoticons. The proposed method is called Detection of Arabic Sentiment Analysis Polarity (DASAP). A modest dataset of Arabic comments, posts, and reviews is collected from Online social network websites (i.e. Facebook, Blogs, YouTube, and Twitter). This dataset is used to evaluate the effectiveness of the proposed method (DASAP). Receiver Operating Characteristic (ROC) prediction quality measurements are used to evaluate the effectiveness of DASAP based on the collected dataset.

The twelve-month outcome of patients with neurotic illness in general practice

1981 ◽  
Vol 11 (3) ◽  
pp. 535-550 ◽  
Author(s):  
A. H. Mann ◽  
R. Jenkins ◽  
E. Belsey
Keyword(s):  
Social Life ◽  
Function Analysis ◽  
Psychiatric Morbidity ◽  
The Social ◽  
Assessment Measures ◽  
Psychiatric State ◽  
One Year

SYNOPSISOne hundred patients, selected to be representative of those attending general practitioners with non-psychotic psychiatric disorders were followed up for one year. standard assessments of mental state, personality, social stresses and supports were carried out for each patient at the outset and after a year.The outcome for this cohort determined both by the level of psychiatric morbidity at interview after one year and by the pattern of the psychiatric morbidity during the year has been analysed with reference to the assessment measures. Discriminant function analysis indicates that the initial estimate of the severity of the psychiatric morbidity and a rating of the quality of the social life at the time of follow-up are the only factors that significantly predict the psychiatric state after one year. Social measures also predict a pattern of illness charactorized by a rapid recovery after the initial assessemtn. Patients who reported continuous psychiatric morbidity during the year were, older, physically ill and very likely to have recevied psychotropic drugs. Receipt of this medication during the year was associated with initial assessments of abnormality of personality, older age, and a diagnosis of depression.The findings of this study are seen to support a triaxial assessment and classification of non-psychotic psychiatirc disorders, with symptoms, personality and social state being rated independently.

Knowledge sharing, complex environments and small-worlds

2005 ◽  
Vol 24 (3) ◽  
pp. 185-195
Author(s):  
Mike Metcalfe
Keyword(s):  
Knowledge Sharing ◽  
System Thinking ◽  
Small Worlds ◽  
Complex Environments ◽  
Complex Environment ◽  
Strategic Response ◽  
Social Species ◽  
The Social ◽  
Self Organisation ◽  
Do So

This paper is about knowledge sharing vision appropriate for a complex environment. In these environments, traditional views of knowledge sharing as informing a hierarchical, centralised leadership may be misleading. A complex environment is defined as one that emerges unpredictable changes that require organisations to reconnect, to reorganise. Organisations need to be able to rapidly reconnect relationships so as to reflect new priorities, and to do so without causing change “bottlenecks”. The empirical biologists have observed that some social species have evolved structures that enable them to do this automatically what ever the environmental change. These organisational forms have survived for millions of years without central planning; rather they use local knowledge is reconnect as required overall providing an appropriate strategic response. These organisational forms seem to result from the small-worlds phenomenon and it is self organising. Specifically, this paper will argue that this small-worlds, self organisation, phenomena is a useful vision for designing a knowledge sharing vision appropriate for a complex environment. The supportive evidence is provided in the form of identifying the empirical attributes of self organisation and small worlds to provide an explanation of how and why it works. The system thinking, biology (insect) and the social-network literature are used.

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