scholarly journals Graph Composer: music composition from graph design

2019 ◽  
Author(s):  
Pedro Souza ◽  
Vitor Rolla ◽  
José Eduardo Ayres ◽  
José Ezequiel Sánchez
Keyword(s):  
Real Time ◽  
Music Composition ◽  
Graph Design ◽  
Sound Sequence ◽  
Over Time

The Graph Composer is an app that allows the user to compose music through the design of a graph. You can create or modify an existing graph, listen and modify the composition in real time. Insert new nodes and connect them, change the corresponding note by clicking over the node and selecting a new one from the scale, define it’s duration over time and select a decoration to change the sound sequence.

Eternal Today

2018 ◽  
Author(s):  
Jenni Myllykoski ◽  
Anniina Rantakari
Keyword(s):  
Real Time ◽  
Constitutive Relation ◽  
Human Agency ◽  
Fundamental Characteristic ◽  
Time Study ◽  
Software Company ◽  
Present Experience ◽  
Managerial Strategy ◽  
Over Time ◽  
Strategy Making

This chapter focuses on temporality in managerial strategy making. It adopts an ‘in-time’ view to examine strategy making as the fluidity of the present experience and draws on a longitudinal, real-time study in a small Finnish software company. It shows five manifestations of ‘in-time’ processuality in strategy making, and identifies a temporality paradox that arises from the engagement of managers with two contradictory times: constructed linear ‘over time’ and experienced, becoming ‘in time’. These findings lead to the re-evaluation of the nature of intention in strategy making, and the authors elaborate the constitutive relation between time as ‘the passage of nature’ and human agency. Consequently, they argue that temporality should not be treated merely as an objective background or a subjective managerial orientation, but as a fundamental characteristic of processuality that defines the dynamics of strategy making.

Physical Aggression Is Associated With More Effective Postdecisional Processing of Social Threat

2021 ◽  
pp. 216770262096629
Author(s):  
Grace M. Brennan ◽  
Arielle Baskin-Sommers
Keyword(s):  
Real Time ◽  
Physical Aggression ◽  
Social Threat ◽  
Social Decisions ◽  
Angry Rumination ◽  
Incarcerated Men ◽  
Over Time

Physically aggressive individuals are more likely to decide that others are threatening. Yet no research has examined how physically aggressive individuals’ social decisions unfold in real time. Seventy-five incarcerated men completed a task in which they identified the emotions in faces displaying anger (i.e., threat) and happiness (i.e., nonthreat) at low, moderate, or high ambiguity. Participants then rated their confidence in their decisions either immediately or after a delay, and changes in confidence provided an index of postdecisional processing. Physical aggression was associated with stronger differentiation of threatening and nonthreatening faces under moderate ambiguity. Moreover, physical aggression was associated with steeper decreases in confidence over time following decisions that threatening faces were nonthreatening, indicating more extensive postdecisional processing. This pattern of postdecisional processing mediated the association between physical aggression and angry rumination. Findings suggest a role for postdecisional processing in the maintenance of threat-based social decisions in physical aggression.

scholarly journals Module to Support Real-Time Microscopic Imaging of Living Organisms on Ground-Based Microgravity Analogs

2021 ◽  
Vol 11 (7) ◽  
pp. 3122
Author(s):  
Srujana Neelam ◽  
Audrey Lee ◽  
Michael A. Lane ◽  
Ceasar Udave ◽  
Howard G. Levine ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Simulated Microgravity ◽  
Image Acquisition ◽  
Time Lapse ◽  
Moving Frames ◽  
Cell Functions ◽  
Microgravity Simulation ◽  
Division Cell ◽  
Over Time

Since opportunities for spaceflight experiments are scarce, ground-based microgravity simulation devices (MSDs) offer accessible and economical alternatives for gravitational biology studies. Among the MSDs, the random positioning machine (RPM) provides simulated microgravity conditions on the ground by randomizing rotating biological samples in two axes to distribute the Earth’s gravity vector in all directions over time. Real-time microscopy and image acquisition during microgravity simulation are of particular interest to enable the study of how basic cell functions, such as division, migration, and proliferation, progress under altered gravity conditions. However, these capabilities have been difficult to implement due to the constantly moving frames of the RPM as well as mechanical noise. Therefore, we developed an image acquisition module that can be mounted on an RPM to capture live images over time while the specimen is in the simulated microgravity (SMG) environment. This module integrates a digital microscope with a magnification range of 20× to 700×, a high-speed data transmission adaptor for the wireless streaming of time-lapse images, and a backlight illuminator to view the sample under brightfield and darkfield modes. With this module, we successfully demonstrated the real-time imaging of human cells cultured on an RPM in brightfield, lasting up to 80 h, and also visualized them in green fluorescent channel. This module was successful in monitoring cell morphology and in quantifying the rate of cell division, cell migration, and wound healing in SMG. It can be easily modified to study the response of other biological specimens to SMG.

scholarly journals Do Feelings of Defeat and Entrapment Change over Time? An Investigation of the Integrated Motivational—Volitional Model of Suicidal Behaviour Using Ecological Momentary Assessments

2020 ◽  
Vol 17 (13) ◽  
pp. 4685
Author(s):  
Jana-Sophie Stenzel ◽  
Inken Höller ◽  
Dajana Rath ◽  
Nina Hallensleben ◽  
Lena Spangenberg ◽  
...  
Keyword(s):  
Risk Factors ◽  
Suicidal Ideation ◽  
Real Time ◽  
Clinical Samples ◽  
Short Term ◽  
Change Over Time ◽  
Longitudinal Association ◽  
Ecological Momentary ◽  
Over Time ◽  
Short Term Variability

(1) Background. Defeat and entrapment have been highlighted as major risk factors of suicidal ideation and behavior. Nevertheless, little is known about their short-term variability and their longitudinal association in real-time. Therefore, this study aims to investigate whether defeat and entrapment change over time and whether defeat predicts entrapment as stated by the integrated motivational–volitional model of suicidal behavior. (2) Methods. Healthy participants (n = 61) underwent a 7-day smartphone-based ecological momentary assessment (EMA) on suicidal ideation/behavior and relevant risk factors, including defeat and entrapment and a comprehensive baseline (T0) and post (T2) assessment. (3) Results. Mean squared successive differences (MSSD) and intraclass correlations (ICC) support the temporal instability as well as within-person variability of defeat and entrapment. Multilevel analyses revealed that during EMA, defeat was positively associated with entrapment at the same measurement. However, defeat could not predict entrapment to the next measurement (approximately two hours later). (4) Conclusion. This study provides evidence on the short-term variability of defeat and entrapment highlighting that repeated measurement of defeat and entrapment—preferably in real time—is necessary in order to adequately capture the actual empirical relations of these variables and not to overlook significant within-person variability. Further research—especially within clinical samples—seems warranted.

scholarly journals Differences in power-law growth over time and indicators of COVID-19 pandemic progression worldwide

2020 ◽  
Author(s):  
Jack Merrin
Keyword(s):  
Error Analysis ◽  
Real Time ◽  
Power Law ◽  
Growth Phase ◽  
Exponential Growth ◽  
Spreading Rate ◽  
Exponential Growth Phase ◽  
Power Law Exponent ◽  
Disease Spreading ◽  
Over Time

1AbstractAn automated statistical and error analysis of 45 countries or regions with more than 1000 cases of COVID-19 as of March 28, 2020, has been performed. This study reveals differences in the rate of disease spreading rate over time in different countries. This survey observes that most countries undergo a beginning exponential growth phase, which transitions into a power-law phase, as recently suggested by Ziff and Ziff. Tracking indicators of growth, such as the power-law exponent, are a good indication of the relative danger different countries are in and show when social measures are effective towards slowing the spread. The data compiled here are usefully synthesizing a global picture, identifying country to country variation in spreading, and identifying countries most at risk. This analysis may factor into how best to track the effectiveness of social distancing policies and quarantines in real-time as data is updated each day.

A Probabilistic Belief System to Track the Cleanliness of a Hole in Real-Time

2021 ◽  
Author(s):  
Pradeepkumar Ashok ◽  
John D' Angelo ◽  
Dawson Ramos ◽  
Michael Yi ◽  
Taylor Thetford ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Real Time ◽  
North American ◽  
Transport Model ◽  
Belief System ◽  
Cuttings Transport ◽  
Construction Operations ◽  
Hole Cleaning ◽  
Computational Overhead ◽  
Over Time

Abstract Hole cleaning is important in preventing stuck pipe events during well construction operations. A cuttings transport model is traditionally used to determine the cleanliness of a hole, but its real-time rig site implementation is often made difficult by a lack of necessary inputs. There is a need for a simpler yet reliable approach to quantifying hole cleanliness using data readily available at the rig site. The paper proposes a method that relies on the detection of events over a long time horizon and the use of key parameters relating to such events to quantify hole cleanliness. These events are then related through duration and frequency to probabilistic features in a Bayesian network, to infer the probability that the hole cleaning process has been efficient or poor. These events are also weighted by their age to ensure that current beliefs are not strongly influenced by those that are far in the past. The method was deployed on a drilling advisory system and is currently used on rigs in North American land operations. The events and features found to be most relevant to quantifying hole cleanliness were the circulation rates during drilling, tight spots when moving the drillstring, bit hydraulics, and prolonged periods of inactivity. Proactive hole cleaning actions such as working of the pipe, off bottom circulation and pipe rotation were also considered. The Bayesian network model used by the proposed method was able to be run with low computational overhead (micro-seconds on a standard edge device) compared to a traditional cuttings transport model. This was enabled by an event logging procedure that keeps track of hole-cleaning events over time and consolidates several hours (days) of drilling information into relevant hole-cleaning features that can be processed quickly. The proposed method was validated with statistical methods using surface datasets from six wells involved in North American land operations. Through this validation it was determined that the method was highly effective in correctly characterizing hole conditions throughout the well operation. On the rig, the system was helpful in not only in alerting the drillers whenever hole cleanliness deteriorated but also providing the most likely causes of the deterioration. This provided the rig crew real-time guidance to make actionable decisions to avoid a stuck pipe situation. The proposed method differentiates itself from the published methods of hole cleaning analysis in two main aspects. First, it does not presume to estimate the cuttings bed height or accumulation over time. Instead, it attempts to infer the probability that the hole cleaning operations are effective over time using features in data that suggest efficient or poor hole cleaning. Second, this method provides a clear indication of when hole cleaning actions are needed and why.

Opening the Black Box of the Venture Capital-Entrepreneur Relationship

2018 ◽  
pp. 110-127
Author(s):  
Olimpia Meglio ◽  
Matteo Rossi ◽  
Arturo Capasso
Keyword(s):  
Venture Capital ◽  
Strategic Management ◽  
Field Study ◽  
Real Time ◽  
Learning Experience ◽  
Black Box ◽  
Venture Capitalist ◽  
Present Evidence ◽  
The Relationship ◽  
Over Time

This chapter aims to explore in-depth the relationship between the venture capitalist and the venture-backed company and account for how this relationship unfolds over time. To achieve this, the authors present evidence from three process case studies. The field study presented in this chapter is partly retrospective and partly in real time and is based on two rounds of focused interviews with the entrepreneurs and the venture capitalist. The findings show that several factors play a role, with confidence in the VC (Venture Capital) being essential to beginning the relationship and trust between the parties being essential to continuing it successfully. This relationship is a learning experience for both parties: while the entrepreneur becomes acquainted with the tools for daily, as well as strategic management, the venture capitalist learns how to effectively scout new attractive business ideas.

System for real-time music composition and synthesis

1996 ◽  
Vol 100 (2) ◽  
pp. 693
Author(s):  
Sidney K. Meier ◽  
Jeffrey L. Briggs
Keyword(s):  
Real Time ◽  
Music Composition

Going Underground

2018 ◽  
Author(s):  
Kenneth B. McAlpine
Keyword(s):  
Real Time ◽  
Online Community ◽  
Computer Software ◽  
Software Protection ◽  
Computer Hacking ◽  
Protection Systems ◽  
Natural Home ◽  
Highly Skilled ◽  
Over Time ◽  
Digital Artists

This chapter charts the birth and growth of the demoscene, an online community of digital artists and musicians who create and share real-time procedural artworks. Part of the digital underground, the ethos was, and remains, one of pushing systems to their limits and so became a natural home for chiptune. The chapter begins by exploring the roots of the demoscene in the computer hacking scene of 1970s California, a community who believed strongly that computer software should be free. As software protection systems were introduced to prevent unauthorized copying, highly skilled ‘crackers’ removed them, highlighting their achievements with elaborate audiovisual digital graffiti. Over time, competition to create the most extravagant artwork and music became an end in itself, creating the demoscene. Today, this vibrant community thrives and has become bigger and slicker than ever, although, as some interviewees suggest, in so doing it may have lost some of its countercultural charm.

An Improved Real-Time Recommendation for Microblogs Based on Topic

2019 ◽  
Vol 34 (02) ◽  
pp. 2059006
Author(s):  
Yikui Shi ◽  
Jiyan Liu ◽  
Lei Shi ◽  
Jianwen Zhao ◽  
Na Su
Keyword(s):  
Real Time ◽  
Information Overload ◽  
Rapid Development ◽  
Search Space ◽  
Decay Function ◽  
Recommendation Algorithm ◽  
User Similarity ◽  
User Clustering ◽  
Intermediate Variables ◽  
Over Time

With the rapid development of the Internet, people are confronted with information overload. Many recommendation methods are designed to solve this problem. The main contributions of recommendation methods proposed in this paper are as follows: (1) An improved collaborative filtering recommendation algorithm based on user clustering is proposed. Clustering is performed according to user similarity based on the user-item rating matrix. So the search space of recommendation algorithm is reduced. (2) Considering the factor that user’s interests may dynamically change over time, a time decay function is introduced. (3) A method of real-time recommendation based on topic for microblogs is designed to realize real-time recommendation effectively by preserving intermediate variables of user similarity. Experiments show that the proposed algorithms have been improved in terms of running time and accuracy.

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