11 research outputs found
A Cost-Efficient System for Detecting an Intentional Electromagnetic Interference (IEMI) Attack
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Selective flexibility: Breaking the rigidity of datapath merging
Hardware specialization is often the key to efficiency for programmable embedded systems, but comes at the expense of flexibility. This paper combines flexibility and efficiency in the design and synthesis of domain-specific datapaths. We merge all individual paths from the Data Flow Graphs (DFGs) of the target applications, leading to a minimal set of required resources; this set is organized into a column of physical operators and cloned, thus generating a domain-specific rectangular lattice. A bus-based FPGA-style interconnection network is then generated and dimensioned to meet the needs of the applications. Our results demonstrate that the lattice has good flexibility: DFGs that were not used as part of the datapath creation phase can be mapped onto it with high probability. Compared to an ASIC design of a single DFG, the speed of our domain-specific coarse-grained reconfigurable datapath is degraded by a factor up to 2x, compared to 3-4x for an FPGA; similarly, our lattice is up to 10x larger than an ASIC, compared to 20-40x for an FPGA. We estimate that our array is up to 6x larger than an ASIC accelerator, which is synthesized using datapath merging and has limited or null generality. © 2012 EDAA
Many Labs 5: Registered Replication of LoBue and DeLoache (2008)
Across three studies, LoBue and DeLoache (2008) provided evidence suggesting that both young children and adults exhibit enhanced visual detection of evolutionarily relevant threat stimuli (as compared with nonthreatening stimuli). A replication of their Experiment 3, conducted by Cramblet Alvarez and Pipitone (2015) as part of the Reproducibility Project: Psychology (RP:P), demonstrated trends similar to those of the original study, but the effect sizes were smaller and not statistically significant. There were, however, some methodological differences (e.g., screen size) and sampling differences (the age of recruited children) between the original study and the RP:P replication study. Additionally, LoBue and DeLoache expressed concern over the choice of stimuli used in the RP:P replication. We sought to explore the possible moderating effects of these factors by conducting two new replications—one using the protocol from the RP:P and the other using a revised protocol. We collected data at four sites, three in Serbia and one in the United States (total N = 553). Overall, participants were not significantly faster at detecting threatening stimuli. Thus, results were not supportive of the hypothesis that visual detection of evolutionarily relevant threat stimuli is enhanced in young children. The effect from the RP:P protocol (d = −0.10, 95% confidence interval = [−1.02, 0.82]) was similar to the effect from the revised protocol (d = −0.09, 95% confidence interval = [−0.33, 0.15]), and the results from both the RP:P and the revised protocols were more similar to those found by Cramblet Alvarez and Pipitone than to those found by LoBue and DeLoache
Does Distance from the Equator Predict Self-Control? Lessons from the Human Penguin Project
We comment on the proposition “that lower temperatures and especially greater seasonal variation in temperature calls for individuals and societies to adopt…a greater degree of self-control”, for which we cannot find empirical support in a large dataset with data-driven analyses. After providing more nuance in our theoretical review, we suggest revisiting their model with an eye to the social determinants of self-control
The human penguin project: climate, social integration, and core body temperature
Social thermoregulation theory posits that modern human relationships are pleisiomorphically organized around body temperature regulation. In two studies (N = 1755) designed to test the principles from this theory, we used supervised machine learning to identify social and non-social factors that relate to core body temperature. This data-driven analysis found that complex social integration (CSI), defined as the number of high-contact roles one engages in, is a critical predictor of core body temperature. We further used a cross-validation approach to show that colder climates relate to higher levels of CSI, which in turn relates to higher CBT (when climates get colder). These results suggest that despite modern affordances for regulating body temperature, people still rely on social warmth to buffer their bodies against the cold
The Human Penguin Project: Climate, Social Integration, and Core Body Temperature
Social thermoregulation theory posits that modern human relationships are pleisiomorphically organized around body temperature regulation. In two studies (N = 1755) designed to test the principles from this theory, we used supervised machine learning to identify social and non-social factors that relate to core body temperature. This data-driven analysis found that complex social integration (CSI), defined as the number of high-contact roles one engages in, is a critical predictor of core body temperature. We further used a cross-validation approach to show that colder climates relate to higher levels of CSI, which in turn relates to higher CBT (when climates get colder). These results suggest that despite modern affordances for regulating body temperature, people still rely on social warmth to buffer their bodies against the cold
Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability
none172siReplication studies in psychological science sometimes fail to reproduce prior findings. If these studies use methods that are unfaithful to the original study or ineffective in eliciting the phenomenon of interest, then a failure to replicate may be a failure of the protocol rather than a challenge to the original finding. Formal pre-data-collection peer review by experts may address shortcomings and increase replicability rates. We selected 10 replication studies from the Reproducibility Project: Psychology (RP:P; Open Science Collaboration, 2015) for which the original authors had expressed concerns about the replication designs before data collection; only one of these studies had yielded a statistically significant effect (p <.05). Commenters suggested that lack of adherence to expert review and low-powered tests were the reasons that most of these RP:P studies failed to replicate the original effects. We revised the replication protocols and received formal peer review prior to conducting new replication studies. We administered the RP:P and revised protocols in multiple laboratories (median number of laboratories per original study = 6.5, range = 3–9; median total sample = 1,279.5, range = 276–3,512) for high-powered tests of each original finding with both protocols. Overall, following the preregistered analysis plan, we found that the revised protocols produced effect sizes similar to those of the RP:P protocols (Δr =.002 or.014, depending on analytic approach). The median effect size for the revised protocols (r =.05) was similar to that of the RP:P protocols (r =.04) and the original RP:P replications (r =.11), and smaller than that of the original studies (r =.37). Analysis of the cumulative evidence across the original studies and the corresponding three replication attempts provided very precise estimates of the 10 tested effects and indicated that their effect sizes (median r =.07, range =.00–.15) were 78% smaller, on average, than the original effect sizes (median r =.37, range =.19–.50).mixedEbersole C.R.; Mathur M.B.; Baranski E.; Bart-Plange D.-J.; Buttrick N.R.; Chartier C.R.; Corker K.S.; Corley M.; Hartshorne J.K.; IJzerman H.; Lazarevic L.B.; Rabagliati H.; Ropovik I.; Aczel B.; Aeschbach L.F.; Andrighetto L.; Arnal J.D.; Arrow H.; Babincak P.; Bakos B.E.; Banik G.; Baskin E.; Belopavlovic R.; Bernstein M.H.; Bialek M.; Bloxsom N.G.; Bodroza B.; Bonfiglio D.B.V.; Boucher L.; Bruhlmann F.; Brumbaugh C.C.; Casini E.; Chen Y.; Chiorri C.; Chopik W.J.; Christ O.; Ciunci A.M.; Claypool H.M.; Coary S.; Colic M.V.; Collins W.M.; Curran P.G.; Day C.R.; Dering B.; Dreber A.; Edlund J.E.; Falcao F.; Fedor A.; Feinberg L.; Ferguson I.R.; Ford M.; Frank M.C.; Fryberger E.; Garinther A.; Gawryluk K.; Ashbaugh K.; Giacomantonio M.; Giessner S.R.; Grahe J.E.; Guadagno R.E.; Halasa E.; Hancock P.J.B.; Hilliard R.A.; Huffmeier J.; Hughes S.; Idzikowska K.; Inzlicht M.; Jern A.; Jimenez-Leal W.; Johannesson M.; Joy-Gaba J.A.; Kauff M.; Kellier D.J.; Kessinger G.; Kidwell M.C.; Kimbrough A.M.; King J.P.J.; Kolb V.S.; Kolodziej S.; Kovacs M.; Krasuska K.; Kraus S.; Krueger L.E.; Kuchno K.; Lage C.A.; Langford E.V.; Levitan C.A.; de Lima T.J.S.; Lin H.; Lins S.; Loy J.E.; Manfredi D.; Markiewicz L.; Menon M.; Mercier B.; Metzger M.; Meyet V.; Millen A.E.; Miller J.K.; Montealegre A.; Moore D.A.; Muda R.; Nave G.; Nichols A.L.; Novak S.A.; Nunnally C.; Orlic A.; Palinkas A.; Panno A.; Parks K.P.; Pedovic I.; Pekala E.; Penner M.R.; Pessers S.; Petrovic B.; Pfeiffer T.; Pienkosz D.; Preti E.; Puric D.; Ramos T.; Ravid J.; Razza T.S.; Rentzsch K.; Richetin J.; Rife S.C.; Rosa A.D.; Rudy K.H.; Salamon J.; Saunders B.; Sawicki P.; Schmidt K.; Schuepfer K.; Schultze T.; Schulz-Hardt S.; Schutz A.; Shabazian A.N.; Shubella R.L.; Siegel A.; Silva R.; Sioma B.; Skorb L.; de Souza L.E.C.; Steegen S.; Stein L.A.R.; Sternglanz R.W.; Stojilovic D.; Storage D.; Sullivan G.B.; Szaszi B.; Szecsi P.; Szoke O.; Szuts A.; Thomae M.; Tidwell N.D.; Tocco C.; Torka A.-K.; Tuerlinckx F.; Vanpaemel W.; Vaughn L.A.; Vianello M.; Viganola D.; Vlachou M.; Walker R.J.; Weissgerber S.C.; Wichman A.L.; Wiggins B.J.; Wolf D.; Wood M.J.; Zealley D.; Zezelj I.; Zrubka M.; Nosek B.A.Ebersole, C. R.; Mathur, M. B.; Baranski, E.; Bart-Plange, D. -J.; Buttrick, N. R.; Chartier, C. R.; Corker, K. S.; Corley, M.; Hartshorne, J. K.; Ijzerman, H.; Lazarevic, L. B.; Rabagliati, H.; Ropovik, I.; Aczel, B.; Aeschbach, L. F.; Andrighetto, L.; Arnal, J. D.; Arrow, H.; Babincak, P.; Bakos, B. E.; Banik, G.; Baskin, E.; Belopavlovic, R.; Bernstein, M. H.; Bialek, M.; Bloxsom, N. G.; Bodroza, B.; Bonfiglio, D. B. V.; Boucher, L.; Bruhlmann, F.; Brumbaugh, C. C.; Casini, E.; Chen, Y.; Chiorri, C.; Chopik, W. J.; Christ, O.; Ciunci, A. M.; Claypool, H. M.; Coary, S.; Colic, M. V.; Collins, W. M.; Curran, P. G.; Day, C. R.; Dering, B.; Dreber, A.; Edlund, J. E.; Falcao, F.; Fedor, A.; Feinberg, L.; Ferguson, I. R.; Ford, M.; Frank, M. C.; Fryberger, E.; Garinther, A.; Gawryluk, K.; Ashbaugh, K.; Giacomantonio, M.; Giessner, S. R.; Grahe, J. E.; Guadagno, R. E.; Halasa, E.; Hancock, P. J. B.; Hilliard, R. A.; Huffmeier, J.; Hughes, S.; Idzikowska, K.; Inzlicht, M.; Jern, A.; Jimenez-Leal, W.; Johannesson, M.; Joy-Gaba, J. A.; Kauff, M.; Kellier, D. J.; Kessinger, G.; Kidwell, M. C.; Kimbrough, A. M.; King, J. P. J.; Kolb, V. S.; Kolodziej, S.; Kovacs, M.; Krasuska, K.; Kraus, S.; Krueger, L. E.; Kuchno, K.; Lage, C. A.; Langford, E. V.; Levitan, C. A.; de Lima, T. J. S.; Lin, H.; Lins, S.; Loy, J. E.; Manfredi, D.; Markiewicz, L.; Menon, M.; Mercier, B.; Metzger, M.; Meyet, V.; Millen, A. E.; Miller, J. K.; Montealegre, A.; Moore, D. A.; Muda, R.; Nave, G.; Nichols, A. L.; Novak, S. A.; Nunnally, C.; Orlic, A.; Palinkas, A.; Panno, A.; Parks, K. P.; Pedovic, I.; Pekala, E.; Penner, M. R.; Pessers, S.; Petrovic, B.; Pfeiffer, T.; Pienkosz, D.; Preti, E.; Puric, D.; Ramos, T.; Ravid, J.; Razza, T. S.; Rentzsch, K.; Richetin, J.; Rife, S. C.; Rosa, A. D.; Rudy, K. H.; Salamon, J.; Saunders, B.; Sawicki, P.; Schmidt, K.; Schuepfer, K.; Schultze, T.; Schulz-Hardt, S.; Schutz, A.; Shabazian, A. N.; Shubella, R. L.; Siegel, A.; Silva, R.; Sioma, B.; Skorb, L.; de Souza, L. E. C.; Steegen, S.; Stein, L. A. R.; Sternglanz, R. W.; Stojilovic, D.; Storage, D.; Sullivan, G. B.; Szaszi, B.; Szecsi, P.; Szoke, O.; Szuts, A.; Thomae, M.; Tidwell, N. D.; Tocco, C.; Torka, A. -K.; Tuerlinckx, F.; Vanpaemel, W.; Vaughn, L. A.; Vianello, M.; Viganola, D.; Vlachou, M.; Walker, R. J.; Weissgerber, S. C.; Wichman, A. L.; Wiggins, B. J.; Wolf, D.; Wood, M. J.; Zealley, D.; Zezelj, I.; Zrubka, M.; Nosek, B. A
Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability
Replication studies in psychological science sometimes fail to reproduce prior findings. If these studies use methods that are unfaithful to the original study or ineffective in eliciting the phenomenon of interest, then a failure to replicate may be a failure of the protocol rather than a challenge to the original finding. Formal pre-data-collection peer review by experts may address shortcomings and increase replicability rates. We selected 10 replication studies from the Reproducibility Project: Psychology (RP:P; Open Science Collaboration, 2015) for which the original authors had expressed concerns about the replication designs before data collection; only one of these studies had yielded a statistically significant effect (p lt .05). Commenters suggested that lack of adherence to expert review and low-powered tests were the reasons that most of these RP:P studies failed to replicate the original effects. We revised the replication protocols and received formal peer review prior to conducting new replication studies. We administered the RP:P and revised protocols in multiple laboratories (median number of laboratories per original study = 6.5, range = 3–9; median total sample = 1,279.5, range = 276–3,512) for high-powered tests of each original finding with both protocols. Overall, following the preregistered analysis plan, we found that the revised protocols produced effect sizes similar to those of the RP:P protocols (Δr =.002 or.014, depending on analytic approach). The median effect size for the revised protocols (r =.05) was similar to that of the RP:P protocols (r =.04) and the original RP:P replications (r =.11), and smaller than that of the original studies (r =.37). Analysis of the cumulative evidence across the original studies and the corresponding three replication attempts provided very precise estimates of the 10 tested effects and indicated that their effect sizes (median r =.07, range =.00–.15) were 78% smaller, on average, than the original effect sizes (median r =.37, range =.19–.50)
Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability
Replication studies in psychological science sometimes fail to reproduce prior findings. If these studies use methods that are unfaithful to the original study or ineffective in eliciting the phenomenon of interest, then a failure to replicate may be a failure of the protocol rather than a challenge to the original finding. Formal pre-data-collection peer review by experts may address shortcomings and increase replicability rates. We selected 10 replication studies from the Reproducibility Project: Psychology (RP:P; Open Science Collaboration, 2015) for which the original authors had expressed concerns about the replication designs before data collection; only one of these studies had yielded a statistically significant effect (p < .05). Commenters suggested that lack of adherence to expert review and low-powered tests were the reasons that most of these RP:P studies failed to replicate the original effects. We revised the replication protocols and received formal peer review prior to conducting new replication studies. We administered the RP:P and revised protocols in multiple laboratories (median number of laboratories per original study = 6.5, range = 3–9; median total sample = 1,279.5, range = 276–3,512) for high-powered tests of each original finding with both protocols. Overall, following the preregistered analysis plan, we found that the revised protocols produced effect sizes similar to those of the RP:P protocols (Δr = .002 or .014, depending on analytic approach). The median effect size for the revised protocols (r = .05) was similar to that of the RP:P protocols (r = .04) and the original RP:P replications (r = .11), and smaller than that of the original studies (r = .37). Analysis of the cumulative evidence across the original studies and the corresponding three replication attempts provided very precise estimates of the 10 tested effects and indicated that their effect sizes (median r = .07, range = .00–.15) were 78% smaller, on average, than the original effect sizes (median r = .37, range = .19–.50)