Visuals Dominate Investor Decisions about Entrepreneurial Pitches

Entrepreneurs and investors often deem substantive content to be particularly important as they evaluate the potential value of business propositions. Yet across 12 studies and 1,855 participants using live entrepreneurial pitch competitions, silent videos—but not sound recordings, video-with-sound recordings, or pitch transcriptions—best allowed both experts and novices to identify the original investors' selections of winning entrepreneurial pitches. These results suggest that people’s judgment may be highly influenced by visual information. Further, people do not seem to fully recognize how much visual information factors into their decisions, such that they neglect the more substantive metrics that they explicitly cite and value as core to their decisions. The findings highlight the power of dynamic visual cues—including gestures, facial expressions, and body language—and demonstrate that visible passion can dominate the content of business propositions in entrepreneurial pitch competitions

Harmful Attributions: The Role of Mind Perception

Introduction: Drawing from literature in social and clinical psychology, we explore mechanisms associated with the lack of empathy for people who engage in self-injurious behaviors. Methods: Using implicit and explicit measures across three samples, we tested whether knowledge of prior self-injury impacts observers’ empathy, perceived agency, perspective taking, and willingness to help a target individual. Results: We found in Studies 1-2 that observers report decreased empathy, perceive less agency, and make more dispositional attributions toward a person who engages in deliberate self-injury, compared to accidental injury. Study 3 indicates that observers perceive a target who engaged in deliberate selfinjury to have lower agency. Furthermore, when evaluating a target who has been victimized, observers report less empathy, compassion, and likelihood of helping if the target has a history of deliberate self-injury. Perceived agency accounted for decreased empathy, whereas empathy accounted for lower likelihood of helping. Discussion: Our findings imply that observers may be better able to empathize with people with a history of self-injury if they focus on the agency of the individual and situational causal explanations for the behavior

Between steps: Intermediate relaxations between big-M and convex hull formulations

This work develops a class of relaxations in between the big-M and convex hull formulations of disjunctions, drawing advantages from both. The proposed "P-split" formulations split convex additively separable constraints into P partitions and form the convex hull of the partitioned disjuncts. Parameter P represents the trade-off of model size vs. relaxation strength. We examine the novel formulations and prove that, under certain assumptions, the relaxations form a hierarchy starting from a big-M equivalent and converging to the convex hull. We computationally compare the proposed formulations to big-M and convex hull formulations on a test set including: K-means clustering, P_ball problems, and ReLU neural networks. The computational results show that the intermediate P-split formulations can form strong outer approximations of the convex hull with fewer variables and constraints than the extended convex hull formulations, giving significant computational advantages over both the big-M and convex hull

Radiative diffusivity factors in cirrus and stratocumulus clouds: Application to two-stream models

A diffusion-like description of radiative transfer in clouds and the free atmosphere is often used. The two stream model is probably the best known example of such a description. The main idea behind the approach is that only the first few moments of radiance are needed to describe the radiative field correctly. Integration smooths details of the angular distribution of specific intensity and it is assumed that the closure parameters of the theory (diffusivity factors) are only weakly dependent on the distribution. The diffusivity factors are investigated using the results obtained from both Stratocumulus and Cirrus phases of FIRE experiment. A new theoretical framework is described in which two (upwards and downwards) diffusivity factors are used and a detailed multistream model is used to provide further insight about both the diffusivity factors and their dependence on scattering properties of clouds

New generation methods for spur, helical, and spiral-bevel gears

New methods for generating spur, helical, and spiral-bevel gears are proposed. These methods provide the gears with conjugate gear tooth surfaces, localized bearing contact, and reduced sensitivity to gear misalignment. Computer programs have been developed for simulating gear meshing and bearing contact

Grit at work

Grit—the tendency to pursue especially long-term goals with both passion and perseverance—has been shown to predict high achievement in a range of individual performance domains. We make a case for introducing the concept of grit to the organizational behavior literature. To begin, we elaborate the conceptual foundations of grit, highlighting ways in which grit differs from related traits and situating grit in the broader literature on goal pursuit. We then discuss three organizational antecedents—leadership, culture, and job design—that can encourage grit at work. Next, we discuss how and under what circumstances encouraging grit can improve workplace outcomes such as employee retention, work engagement, and job performance. We conclude with suggestions for future research at the intersection of psychology and organizational behavior

Spiral bevel and circular arc helical gears: Tooth contact analysis and the effect of misalignment on circular arc helical gears

A computer aided method for tooth contact analysis was developed and applied. Optimal machine-tool settings for spiral bevel gears are proposed and when applied indicated that kinematic errors can be minimized while maintaining a desirable bearing contact. The effect of misalignment for circular arc helical gears was investigated and the results indicted that directed pinion refinishing can compensate the kinematic errors due to misalignment

The vision heuristic: Judging music ensembles by sight alone

Team effectiveness and group performance are often defined by standards set by domain experts. Professional musicians consistently report that sound output is the most important standard for evaluating the quality of group performance in the domain of music. However, across six studies, visual information dominated rapid judgments of group performance. Participants (1062 experts and novices) were able to select the actual winners of live ensemble competitions and distinguish top-ranked orchestras from non-ranked orchestras based on 6-s silent video recordings yet were unable to do so from sound recordings or recordings with both video and sound. These findings suggest that judgments of group performance in the domain of music are driven at least in part by visual cues about group dynamics and leadership

Partition-based formulations for mixed-integer optimization of trained ReLU neural networks

This paper introduces a class of mixed-integer formulations for trained ReLU neural networks. The approach balances model size and tightness by partitioning node inputs into a number of groups and forming the convex hull over the partitions via disjunctive programming. At one extreme, one partition per input recovers the convex hull of a node, i.e., the tightest possible formulation for each node. For fewer partitions, we develop smaller relaxations that approximate the convex hull, and show that they outperform existing formulations. Specifically, we propose strategies for partitioning variables based on theoretical motivations and validate these strategies using extensive computational experiments. Furthermore, the proposed scheme complements known algorithmic approaches, e.g., optimization-based bound tightening captures dependencies within a partition

Properties of Photon Density Waves in Multiple-Scattering Media

Amplitude-modulated light launched into multiple-scattering media, e.g., tissue, results in the propagation of density waves of diffuse photons. Photon density wave characteristics in turn depend on modulation frequency (ω) and media optical properties. The damped spherical wave solutions to the homogeneous form of the diffusion equation suggest two distinct regimes of behavior: (1) a highfrequency dispersion regime where density wave phase velocity Vp has a ω dependence and (2) a low-frequency domain where Vp is frequency independent. Optical properties are determined for various tissue phantoms by fitting the recorded phase (Φ) and modulation (m) response to simple relations for the appropriate regime. Our results indicate that reliable estimates of tissuelike optical properties can be obtained, particularly when multiple modulation frequencies are employed