Collective Intelligence Meets Medical Decision-Making: The Collective Outperforms the Best Radiologist

While collective intelligence (CI) is a powerful approach to increase decision accuracy, few attempts have been made to unlock its potential in medical decision-making. Here we investigated the performance of three well-known collective intelligence rules (“majority”, “quorum”, and “weighted quorum”) when applied to mammography screening. For any particular mammogram, these rules aggregate the independent assessments of multiple radiologists into a single decision (recall the patient for additional workup or not). We found that, compared to single radiologists, any of these CI-rules both increases true positives (i.e., recalls of patients with cancer) and decreases false positives (i.e., recalls of patients without cancer), thereby overcoming one of the fundamental limitations to decision accuracy that individual radiologists face. Importantly, we find that all CI-rules systematically outperform even the best-performing individual radiologist in the respective group. Our findings demonstrate that CI can be employed to improve mammography screening; similarly, CI may have the potential to improve medical decision-making in a much wider range of contexts, including many areas of diagnostic imaging and, more generally, diagnostic decisions that are based on the subjective interpretation of evidence.     

Dilemma of Dilemmas: How Collective and Individual Perspectives Can Clarify the Size Dilemma in Voluntary Linear Public Goods Dilemmas

Empirical findings on public goods dilemmas indicate an unresolved dilemma: that increasing size—the number of people in the dilemma—sometimes increases, decreases, or does not influence cooperation. We clarify this dilemma by first classifying public goods dilemma properties that specify individual outcomes as individual properties (e.g., Marginal Per Capita Return) and group outcomes as group properties (e.g., public good multiplier), mathematically showing how only one set of properties can remain constant as the dilemma size increases. Underpinning decision-making regarding individual and group properties, we propose that individuals are motivated by both individual and group preferences based on a theory of collective rationality. We use Van Lange''s integrated model of social value orientations to operationalize these preferences as an amalgamation of outcomes for self, outcomes for others, and equality of outcomes. Based on this model, we then predict how the public good''s benefit and size, combined with controlling individual versus group properties, produce different levels of cooperation in public goods dilemmas. A two (low vs. high benefit) by three (2-person baseline vs. 5-person holding constant individual properties vs. 5-person holding constant group properties) factorial experiment (group n = 99; participant n = 390) confirms our hypotheses. The results indicate that when holding constant group properties, size decreases cooperation. Yet when holding constant individual properties, size increases cooperation when benefit is low and does not affect cooperation when benefit is high. Using agent-based simulations of individual and group preferences vis-à-vis the integrative model, we fit a weighted simulation model to the empirical data. This fitted model is sufficient to reproduce the empirical results, but only when both individual (self-interest) and group (other-interest and equality) preference are included. Our research contributes to understanding how people''s motivations and behaviors within public goods dilemmas interact with the properties of the dilemma to lead to collective outcomes.     

A Model of Human Cooperation in Social Dilemmas

Social dilemmas are situations in which collective interests are at odds with private interests: pollution, depletion of natural resources, and intergroup conflicts, are at their core social dilemmas. Because of their multidisciplinarity and their importance, social dilemmas have been studied by economists, biologists, psychologists, sociologists, and political scientists. These studies typically explain tendency to cooperation by dividing people in proself and prosocial types, or appealing to forms of external control or, in iterated social dilemmas, to long-term strategies. But recent experiments have shown that cooperation is possible even in one-shot social dilemmas without forms of external control and the rate of cooperation typically depends on the payoffs. This makes impossible a predictive division between proself and prosocial people and proves that people have attitude to cooperation by nature. The key innovation of this article is in fact to postulate that humans have attitude to cooperation by nature and consequently they do not act a priori as single agents, as assumed by standard economic models, but they forecast how a social dilemma would evolve if they formed coalitions and then they act according to their most optimistic forecast. Formalizing this idea we propose the first predictive model of human cooperation able to organize a number of different experimental findings that are not explained by the standard model. We show also that the model makes satisfactorily accurate quantitative predictions of population average behavior in one-shot social dilemmas.     

Dilemmas concerning the training of individuals for task performance under stress

The relative effectiveness of five procedures for the training of individuals to perform tasks under stress was tested in a criterion situation, where subjects were requested to perform a visual search task under the threat of electric shocks. During training on the task, different groups of subjects received shocks of criterion-level intensity; milder than criterion-level intensity; gradually increasing intensity; randomly varying intensity. The last group received no shocks at all. The results pointed to three conditions for the enhancement of training effectiveness: minimal interference of exposure to stressors with task acquisition, familiarity with stressors characteristic of the criterion situation, and absence of unrealistic expectations about future stressors. However, none of the five training procedures meets all three conditions. Implications for the design of procedures whereby persons can be trained to perform proficiently under stress are discussed.     

Cultures under Siege: Collective Violence and Trauma

Cultures under Siege: Collective Violence and Trauma. Antonius C. G. M. Robben and Marcelo M. Sudrez-Orozco. eds. Cambridge: Cambridge University Press, 2000. 285 pp.     

Persons Versus Brains: Biological Intelligence in Human Organisms

I go deep into the biology of the human organism to argue that the psychological features and functions of persons are realized by cellular and molecular parallel distributed processing networks dispersed throughout the whole body. Persons supervene on the computational processes of nervous, endocrine, immune, and genetic networks. Persons do not go with brains.     

Lucy's Legacy: Sex and Intelligence in Human Evolution

Lucy's Legacy: Sex and Intelligence in Human Evolution. Alison Jolly. Cambridge, MA: Harvard University Press, 1999.518 pp.     

Integrating Artificial and Human Intelligence into Tablet Production Process

We developed a new machine learning-based method in order to facilitate the manufacturing processes of pharmaceutical products, such as tablets, in accordance with the Process Analytical Technology (PAT) and Quality by Design (QbD) initiatives. Our approach combines the data, available from prior production runs, with machine learning algorithms that are assisted by a human operator with expert knowledge of the production process. The process parameters encompass those that relate to the attributes of the precursor raw materials and those that relate to the manufacturing process itself. During manufacturing, our method allows production operator to inspect the impacts of various settings of process parameters within their proven acceptable range with the purpose of choosing the most promising values in advance of the actual batch manufacture. The interaction between the human operator and the artificial intelligence system provides improved performance and quality. We successfully implemented the method on data provided by a pharmaceutical company for a particular product, a tablet, under development. We tested the accuracy of the method in comparison with some other machine learning approaches. The method is especially suitable for analyzing manufacturing processes characterized by a limited amount of data.KEY WORDS: artificial intelligence, machine learning, process analytical technology, process optimization, tablet manufacture     

Human Rights,Dual Loyalties,and Clinical Independence

Although Australia has comparatively few individuals seeking asylum, it has had a mandatory detention policy in place since 1992. This policy has been maintained by successive governments despite the overwhelmingly negative impact mandatory detention has on mental health. For mental health professionals working in this environment, a number of moral, ethical, and human rights issues are raised. These issues are discussed here, with a focus on dual loyalty conflicts and drawing on personal experience, the bioethics and human rights literature, and recent parliamentary inquiries. For those who continue to work in this environment, future directions are also discussed.     

双参数人类染色体流式分析及分选

用ＦＡＣＳＶａｎｔａｇｅ型流式细胞分选仪对人二倍体成纤维细胞的单分散染色体悬液进行双参数、双激光染色体核型分析及分选。人类染色体可分出２１个集团,除９至１２号染色体外,其余均能被单独分离。经染色体特异性探针池ＦＩＳＨ鉴定,染色体分选纯度可达９０．５％。     

Dual Coordination of Post Translational Modifications in Human Protein Networks

Post-translational modifications (PTMs) regulate protein activity, stability and interaction profiles and are critical for cellular functioning. Further regulation is gained through PTM interplay whereby modifications modulate the occurrence of other PTMs or act in combination. Integration of global acetylation, ubiquitination and tyrosine or serine/threonine phosphorylation datasets with protein interaction data identified hundreds of protein complexes that selectively accumulate each PTM, indicating coordinated targeting of specific molecular functions. A second layer of PTM coordination exists in these complexes, mediated by PTM integration (PTMi) spots. PTMi spots represent very dense modification patterns in disordered protein regions and showed an equally high mutation rate as functional protein domains in cancer, inferring equivocal importance for cellular functioning. Systematic PTMi spot identification highlighted more than 300 candidate proteins for combinatorial PTM regulation. This study reveals two global PTM coordination mechanisms and emphasizes dataset integration as requisite in proteomic PTM studies to better predict modification impact on cellular signaling.     

Collective Dynamics of Belief Evolution under Cognitive Coherence and Social Conformity

Human history has been marked by social instability and conflict, often driven by the irreconcilability of opposing sets of beliefs, ideologies, and religious dogmas. The dynamics of belief systems has been studied mainly from two distinct perspectives, namely how cognitive biases lead to individual belief rigidity and how social influence leads to social conformity. Here we propose a unifying framework that connects cognitive and social forces together in order to study the dynamics of societal belief evolution. Each individual is endowed with a network of interacting beliefs that evolves through interaction with other individuals in a social network. The adoption of beliefs is affected by both internal coherence and social conformity. Our framework may offer explanations for how social transitions can arise in otherwise homogeneous populations, how small numbers of zealots with highly coherent beliefs can overturn societal consensus, and how belief rigidity protects fringe groups and cults against invasion from mainstream beliefs, allowing them to persist and even thrive in larger societies. Our results suggest that strong consensus may be insufficient to guarantee social stability, that the cognitive coherence of belief-systems is vital in determining their ability to spread, and that coherent belief-systems may pose a serious problem for resolving social polarization, due to their ability to prevent consensus even under high levels of social exposure. We argue that the inclusion of cognitive factors into a social model could provide a more complete picture of collective human dynamics.     

A Wideband Printed Quadrifilar Helix Antenna under Frequency-Independent Dual Resonances

Plasmonics - A novel frequency-independent printed quadrifilar helix antenna with wideband performance is presented in this paper. The proposed antenna utilizes four simple gradient microstrip...     

Fenfluramine Releases Serotonin from Human Brain Nerve Endings by a Dual Mechanism

Abstract: Fenfluramine is the most widely used anorexigenic drug in humans. In animal experiments d -fenfluramine has been shown to act as a potent releaser of brain serotonin [5-hydroxytryptamine (5-HT)]. Here we have investigated the effects of d -fenfluramine on the release of [³H]5-HT from isolated nerve endings of human neocortex. The drug elicited release of unmetabolized [³H]5-HT, and this effect was concentration dependent. However, the mechanism of release seems to differ profoundly depending on the concentrations of d -fenfluramine used. At 5 µ M , the release of [³H]5-HT was blocked by the 5-HT transporter inhibitor fluoxetine and was Ca²⁺ independent and insensitive to the human autoreceptor 5-HT_1D agonist sumatriptan. The release of [³H]5-HT elicited by 0.5 µ M d -fenfluramine was similarly blocked by fluoxetine, but it was strongly Ca²⁺ dependent and sensitive to sumatriptan. It is suggested that, at relatively high concentrations, d -fenfluramine largely diffuses into serotonergic terminals and causes release of 5-HT through the 5-HT carrier working in the inside-outside direction; at relatively low concentrations d -fenfluramine enters the terminals through the 5-HT transporter but elicits release of 5-HT by an exocytotic-like mechanism.