Acoustic cues such as pitch height and timing are effective at communicating emotion in both music and speech. Numerous experiments altering musical passages have shown that higher and faster melodies generally sound “happier” than lower and slower melodies, findings consistent with corpus analyses of emotional speech. However, equivalent corpus analyses of complex time-varying cues in music are less common, due in part to the challenges of assembling an appropriate corpus. Here, we describe a novel, score-based exploration of the use of pitch height and timing in a set of “balanced” major and minor key compositions. Our analysis included all 24 Preludes and 24 Fugues from Bach’s Well-Tempered Clavier (book 1), as well as all 24 of Chopin’s Preludes for piano. These three sets are balanced with respect to both modality (major/minor) and key chroma (“A,” “B,” “C,” etc.). Consistent with predictions derived from speech, we found major-key (nominally “happy”) pieces to be two semitones higher in pitch height and 29% faster than minor-key (nominally “sad”) pieces. This demonstrates that our balanced corpus of major and minor key pieces uses low-level acoustic cues for emotion in a manner consistent with speech. A series of post hoc analyses illustrate interesting trade-offs, with sets featuring greater emphasis on timing distinctions between modalities exhibiting the least pitch distinction, and vice-versa. We discuss these findings in the broader context of speech-music research, as well as recent scholarship exploring the historical evolution of cue use in Western music.

Traditional biological and pharmaceutical manufacturing plants are controlled by human workers or pre-defined thresholds. Modernized factories have advanced process control algorithms such as model predictive control (MPC). However, there is little exploration of applying deep reinforcement learning to control manufacturing plants. One of the reasons is the lack of high fidelity simulations and standard APIs for benchmarking. To bridge this gap, we develop an easy-to-use library that includes five high-fidelity simulation environments: BeerFMTEnv, ReactorEnv, AtropineEnv, PenSimEnv and mAbEnv, which cover a wide range of manufacturing processes. We build these environments on published dynamics models. Furthermore, we benchmark online and offline, model-based and model-free reinforcement learning algorithms for comparisons of follow-up research. † † Official documentation:https://smpl-env.readthedocs.io/en/latest/index.html Official implementation: https://github.com/smpl-env/smpl Code of experiments: https://github.com/smpl-env/smpl-experiments Preprint. Under review.

This article proposes that engaging with structural melodic content can expand how we conceive of cadential function and add nuance to the more harmonically driven approaches of Caplinian form-functional theory. Drawing on discussions by Schenker, Marx, and Schoenberg, we posit parallels between structural melodic configurations and the temporal formal functions of Caplinian theory. Through several analytic examples we suggest that certain melodic directions have default association with Caplin’s temporal functions: ascending lines are typically associated with initiating functions, while the static prolongation of structural tones typically serves as either initiating or medial functions. Conversely, descending melodic lines, especially terminating on ".fn_scaledegree(1)." (authentic cadences) or ".fn_scaledegree(2)." (half cadences) are endemic of concluding functions. We do not suggest that melodic considerations replace harmonic ones, but rather conclude that the two domains are symbiotic in the sense that melodic consideration can reinforce or undermine harmonic ones, and vice versa. Ultimately, we use this rebalancing of analytic focus as a means of reengaging with various problematic phrase types and suggest further efficacy for this approach with respect to nineteenth-century formal expansions.

Pick & place yield performance is among of the most important parameters for electronic components assembly, especially for today's miniaturized packages. For very small devices such as small outline transistor (SOT) with carrier tape packaging system, sticking of device on cover tape was often observed, which is believed to be caused by accumulated electrostatic charge on the surfaces of device and cover tape. To improve pick & place yield performance, electrostatic charges and electrostatic forces should be minimized. In this work, pick and place tests were performed for SOT devices packaged in different packaging systems using different materials and cavity structures. The results show that the pick & place yield can be significantly improved by the right material selection and cavity structure optimization. The relationships among material property, cavity structure, electrostatic charge, electrostatic force, pick & place yield were correlated, based on experimental tests and finite elemental simulation. This work would provide test and simulation methodologies and guidelines for materials selection and cavity structure design for carrier tape packaging systems.