Cluster Complexes: A Framework for Understanding the Internationalisation of Innovation Systems

The literature on clustering that has developed over the last two decades or so has given us a wealth of information on the formation and competitiveness of places in the global economy. Similarly, the systems literature on innovation has been valuable in moving the debate around technology from a focus on the entrepreneur to one than encompasses institutions, government, suppliers, customers and universities. However, there remains an important limit to this research; the borders of political jurisdictions, usually nation states, typically delineate the studies. It is argued in this paper that during an era when the international architecture of production relationships is changing, this view of systems is hindering its further development. This paper briefly examines what we have learnt of innovation systems, including clustering and also explores the limitations of this work. From this foundation it is proposed in this paper that a framework which understands clusters as nodes within extra-territorial networks is a promising approach for internationalising the systems of innovation perspective. The advantage of the approach presented here is that it can simultaneously capture regional specialisations and be disaggregated enough to apply on a technology / sectoral basis. Another principle advantage is that such a framework goes someway towards an understanding of interregional and international trade that is consistent with what other studies have shown of the development of innovation within particular geographic locations. The paper draws from extensive data analysis of industrial interdependencies that cross national borders to support the case for cluster complexes that transcend regional and national borders.innovation systems; clusters; internationalisation

An adaptive neuro-fuzzy propagation model for LoRaWAN

This article proposes an adaptive-network-based fuzzy inference system (ANFIS) model for accurate estimation of signal propagation using LoRaWAN. By using ANFIS, the basic knowledge of propagation is embedded into the proposed model. This reduces the training complexity of artificial neural network (ANN)-based models. Therefore, the size of the training dataset is reduced by 70% compared to an ANN model. The proposed model consists of an efficient clustering method to identify the optimum number of the fuzzy nodes to avoid overfitting, and a hybrid training algorithm to train and optimize the ANFIS parameters. Finally, the proposed model is benchmarked with extensive practical data, where superior accuracy is achieved compared to deterministic models, and better generalization is attained compared to ANN models. The proposed model outperforms the nondeterministic models in terms of accuracy, has the flexibility to account for new modeling parameters, is easier to use as it does not require a model for propagation environment, is resistant to data collection inaccuracies and uncertain environmental information, has excellent generalization capability, and features a knowledge-based implementation that alleviates the training process. This work will facilitate network planning and propagation prediction in complex scenarios

On the applied implications of the “Verbal Overshadowing Effect”

Schooler and Engstler-Schooler (1990) found that participants who wrote out a description of the perpetrator’s face after watching a simulated crime video were subsequently less likely to identify that perpetrator from a photo lineup compared to participants in a control condition (i.e., the correct ID rate was reduced). The first registered replication report in Perspectives on Psychological Science confirmed this verbal overshadowing effect (Alogna et al., 2014). Does this result indicate a reduced ability to recognize the person who was verbally described, or does it instead reflect more conservative responding? The answer depends on the still unknown likelihood of identifying an innocent suspect from a lineup (the false ID rate). Assuming the reduced correct ID rate does reflect memory impairment, should the legal system be advised to give less weight to a suspect identification if the witness previously provided a verbal description of the perpetrator? Intuitively, the answer is “yes,” but without knowing the false ID rate, it is unclear if a suspect identification following a verbal description should be given less weight or more weight. This is true even if the correct and false ID rates show that verbal descriptions impair memory. In our view, psychologists should withhold giving advice to the legal system about the effect of verbal descriptions on suspect identifications until the issue is investigated by including lineups that contain an innocent suspect

A Case for Functional-Cognitive Cross-Talk

A case for the benefits of functional-cognitive cross-talk is presented, concerning the relationship between confidence in memory and the associated accuracy. While cognitive theorists have long accepted that confidence and accuracy are typically related, a behavioral explanation was only recently advanced. We argue that had this connection been made earlier, then the applied domain of eyewitness identification research may have earlier reconsidered, the now largely debunked, but once strongly and long-held, idea that an eyewitness’s confidence is at best weakly related to the accuracy of their identification

Policy regarding the sequential lineup is not informed by probative value but is informed by ROC analysis.

It is important to determine if switching from simultaneous to sequential lineups affects response bias (the inclination to make an identification from a lineup), discriminability (the ability to distinguish between innocent and guilty suspects), or both. Measures of probative value cannot provide such information; receiver operating characteristic analysis can. Recent receiver operating characteristic analyses indicate that switching to sequential lineups both induces more conservative responding and makes it more difficult to distinguish between innocent and guilty suspects. If more conservative responding is preferred (i.e., if policymakers judge that the harm associated with the reduction of correct identifications is exceeded by the benefit associated with the reduction in false identifications), recent data indicate that this result can be achieved without a loss of discriminability by using the simultaneous lineup procedure in conjunction with a more conservative decision criterion.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

In the DNA Exoneration Cases, Eyewitness Memory was Not the Problem:A reply to Berkowitz and Frenda (2018) and Wade, Nash and Lindsay (2018)

The available real-world evidence suggests that, on an initial test, eyewitness memory is often reliable. Ironically, even the DNA exoneration cases—which generally involved nonpristine testing conditions and which are usually construed as an indictment of eyewitness memory—show how reliable an initial test of eyewitness memory can be in the real world. We endorse the use of pristine testing procedures, but their absence does not automatically imply that eyewitness memory is unreliable. </jats:p

ROC analysis measures objective discriminability for any eyewitness identification procedure

Which eyewitness identification procedure better enables eyewitnesses to discriminate between innocent and guilty suspects? In other words, which procedure better enables eyewitnesses to sort innocent and guilty suspects into their correct categories? The answer to that objective, theory-free question is what policymakers need to know, and it is precisely the information that ROC analysis provides. Wells et al. largely ignore that question and focus instead on whether ROC analysis accurately measures underlying (theoretical) discriminability for lineups. They argue that the apparent discriminability advantage for lineups over showups is an illusion caused by “filler siphoning.” Here, we demonstrate that, both objectively and theoretically, the ability of eyewitnesses to discriminate innocent from guilty suspects is higher for lineups compared to showups, just as the ROC data suggest. Intuitions notwithstanding, filler siphoning does not account for the discriminability advantage for lineups. An actual theory of discriminability is needed to explain that interesting phenomenon

Exploring The Neural Correlates of Reading Comprehension and Social Cognition Deficits in College Students with ADHD

Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterized by inattention, impulsivity, and hyperactivity. Symptoms of this disorder have been shown to adversely impact academic and social functioning of those with ADHD. College students with ADHD, compared to their non-ADHD peers, are at increased risk for academic and social difficulties. Given the reading-intensive and socially-driven environment of the college campus, empirical literature examining the reading comprehension and social cognition of college students are wanting. The current investigation utilized the Nelson-Denny Reading Test (NDRT) and Faux Pas Recognition test (FPRT) to assess reading comprehension and social cognition, respectively, in college students with (n = 3) and without ADHD (n = 9). The Short Story Task (SST) was administered during functional magnetic resonance imaging (fMRI) to examine neural correlates of narrative comprehension and theory of mind (ToM) while reading short fictional stories of varying prose complexity. The ADHD and control groups did not differ in IQ, GPA, or scores of NDRT, FPRT, or SST, suggesting that they had comparable academic performance, narrative comprehension, and social cognition. The fMRI analysis of SST showed that the ADHD group demonstrated increased activation in the left anterior cingulate (ACC) and parahippocampal gyrus (PHG) while reading the complex story compared to the simple story. This differential activation was not observed in the CTRL group, suggesting that the ADHD group required more neural resources to process the emotional components of the complex story to achieve the comparable performance on the SST. The ADHD group additionally exhibited lower activation in the narrative comprehension and ToM networks (medial prefrontal cortex, Broca’s area, angular gyri). Collectively, these results indicate that while ADHD and CTRL groups did not differ behaviorally, they exhibit differential neural activation patterns in tasks related to narrative comprehension and social cognition. Further investigations may inform the development of educational and psychosocial interventions to improve academic and social functioning in young adults with ADHD