scholarly journals Establishment of open-source semi-automated behavioral analysis system and quantification of the difference of sexual motivation between laboratory and wild strains

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Soma Tomihara ◽  
Yoshitaka Oka ◽  
Shinji Kanda
Keyword(s):  
Open Source ◽  
Video Recording ◽  
Sexual Motivation ◽  
Behavioral Analysis ◽  
Raspberry Pi ◽  
Human Errors ◽  
Biological Studies ◽  
The Difference ◽  
Analysis System ◽  
Operational Errors

AbstractBehavioral analysis plays an important role in wide variety of biological studies, but behavioral recordings often tend to be laborious and are associated with inevitable human-errors. It also takes much time to perform manual behavioral analyses while replaying the videos. On the other hand, presently available automated recording/analysis systems are often specialized for certain types of behavior of specific animals. Here, we established an open-source behavioral recording system using Raspberry Pi, which automatically performs video-recording and systematic file-sorting, and the behavioral recording can be performed more efficiently, without unintentional human operational errors. We also developed an Excel macro that enables us to easily perform behavioral annotation with simple manipulation. Thus, we succeeded in developing an analysis suite that mitigates human tasks and thus reduces human errors. By using this suite, we analyzed the sexual behavior of a laboratory and a wild medaka strain and found a difference in sexual motivation presumably resulting from domestication.

scholarly journals Performance Analysis of Different Embedded Systems and Open-Source Optimization Packages Towards an Impulsive MPC Artificial Pancreas

2021 ◽  
Vol 12 ◽  
Author(s):  
Jhon E. Goez-Mora ◽  
María F. Villa-Tamayo ◽  
Monica Vallejo ◽  
Pablo S. Rivadeneira
Keyword(s):  
Embedded Systems ◽  
Open Source ◽  
Control Strategies ◽  
Artificial Pancreas ◽  
Performance Comparison ◽  
Raspberry Pi ◽  
Portable Devices ◽  
Technological Advances ◽  
Computer Environment ◽  
The Difference

Current technological advances have brought closer to reality the project of a safe, portable, and efficient artificial pancreas for people with type 1 diabetes (T1D). Among the developed control strategies for T1D, model predictive control (MPC) has been emphasized in literature as a promising control for glucose regulation. However, these control strategies are commonly designed in a computer environment, regardless of the limitations of a portable device. In this paper, the performances of six embedded platforms and three open-source optimization solver algorithms are assessed for T1D treatment. Their advantages and limitations are clarified using four MPC formulations of increasing complexity and a hardware-in-the-loop methodology to evaluate glucose control in virtual adult subjects. The performance comparison includes the execution time, the difference concerning the evolution obtained in MATLAB, the processor temperature, energy consumption, time percentage in normoglycemia, and the number of hypo- and hyperglycemic events. Results show that Quadprog is the package that faithfully follows the results obtained with control strategies designed and tuned on a computer with the MATLAB software. In addition, the Raspberry Pi 3 and the Tinker Board S embedded systems present the appropriate characteristics to be implemented as portable devices in the artificial pancreas application according to the criteria set out in this work.

scholarly journals One Metre Plus (1M+): A Multifunctional Open-Source Sensor for Bicycles Based on Raspberry Pi

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5812
Author(s):  
Andres Henao ◽  
Philippe Apparicio ◽  
David Maignan
Keyword(s):  
Knowledge Sharing ◽  
Open Source ◽  
Scientific Community ◽  
Low Cost ◽  
Video Recording ◽  
Raspberry Pi ◽  
Essential Tool ◽  
Geographical Position ◽  
Motorized Vehicles ◽  
Comparability Of Results

During the last decade, bicycles equipped with sensors became an essential tool for research, particularly for studies analyzing the lateral passing distance between motorized vehicles and bicycles. The objective of this article is to describe a low-cost open-source sensor called one metre plus (1m+) capable of measuring lateral passing distance, registering the geographical position of the cyclist, and video-recording the trip. The plans, codes, and schematic design are open and therefore easily accessible for the scientific community. This study describes in detail the conceptualization process, the characteristics of the device, and the materials from which they are made. The study also provides an evaluation of the product and describes the sensor’s functionalities and its field of application. The objective of this project is to democratize research and develop a platform/participative project that offers tools to researchers worldwide, in order to standardize knowledge sharing and facilitate the comparability of results in various contexts.

scholarly journals An inexpensive remotely-operated video recording system for continuous behavioral observations

2019 ◽  
Author(s):  
W.David Weber ◽  
Heidi S. Fisher
Keyword(s):  
Open Source ◽  
Contextual Information ◽  
Video Recording ◽  
Bright Light ◽  
Recording System ◽  
Raspberry Pi ◽  
Live Streaming ◽  
Recording Technology ◽  
Peromyscus Californicus ◽  
Observer Effects

AbstractVideo recording technology is an important tool for studies of animal behavior because it reduces observer effects and produces a record of experiments, interactions among subjects, and contextual information, however it remains cost prohibitive for many researchers. Here we present an inexpensive method for building a remotely-operated video recording system to continuously monitor behavioral or other biological experiments. Our system employs Raspberry Pi computers and cameras, open-source software, and allows for wireless networking, live-streaming, and the capacity to simultaneously record from several cameras in an array. To validate this system, we continuously monitored home-cage behavior of California mice (Peromyscus californicus) in a laboratory setting. We captured video in both low- and bright-light environments to record behaviors of this nocturnal species, and then quantified mating interactions of California mouse pairs by analyzing the videos with an open-source event logging software. This video recording platform offers users the flexibility to modify the specifications for a range of tasks and the scalability to make research more efficient and reliable to a larger population of scientists.

scholarly journals PiRATeMC: A highly flexible, scalable, and affordable system for obtaining high quality video recordings for behavioral neuroscience.

2021 ◽  
Author(s):  
Samuel W Centanni ◽  
Alexander CW Smith
Keyword(s):  
Open Source ◽  
Online Community ◽  
Video Quality ◽  
Video Recording ◽  
Bright Light ◽  
Infrared Light ◽  
Raspberry Pi ◽  
Behavioral Experiments ◽  
Recording Equipment ◽  
Camera System

With the recent development and rapidly accelerating adoption of machine-learning based rodent behavioral tracking tools such as DeepLabCut, one common variable that can impact the quality and consistency of results is the camera system. Many experimenters use webcams, GoPros, or other commercially available cameras that are not only relatively expensive, but offer very little flexibility over recording parameters. These cameras are not optimized for recording many types of behavioral experiments, which can lead to suboptimal video quality. Furthermore, it is a challenge, if not impossible, to synchronize multiple cameras with each other, or to send/receive a trigger with external signals such as a TTL pulse or a network connection. We have developed an affordable ecosystem of behavioral recording equipment, PiRATeMC (Pi-based Remote Acquisition Technology for Motion Capture), that relies on Raspberry Pi Camera Boards that are ideal for recording in both bright light, low light, and dark conditions under infrared light. PiRATeMC offers users control over nearly every recording parameter. This setup can easily be scaled up and synchronously controlled in clusters via a self-contained network to record a large number of simultaneous behavioral sessions without burdening institutional network infrastructure. Furthermore, the Raspberry Pi is an excellent platform for novice and inexperienced programmers interested in using an open-source recording system, with a large online community that is very active in developing novel open-source tools. Moreover, it easily interfaces with Arduinos and other microcontrollers, allowing simple synchronization and interfacing of video recording with nearly any behavioral equipment using GPIO pins to send or receive 3.3V or 5V signals, I2C, or serial communication.

scholarly journals From Lab on a Chip to Point of Care Devices: The Role of Open Source Microcontrollers

Micromachines ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 403 ◽  
Author(s):  
Trieu Nguyen ◽  
Sune Zoëga Andreasen ◽  
Anders Wolff ◽  
Dang Duong Bang
Keyword(s):  
Open Source ◽  
Integrated Circuit ◽  
Point Of Care ◽  
Real Life ◽  
Lab On A Chip ◽  
Molecular Diagnostic ◽  
Raspberry Pi ◽  
Chip Technology ◽  
Start Up ◽  
The Difference

Microcontrollers are programmable, integrated circuit chips. In the last two decades, their applications to industrial instruments, vehicles, and household appliances have reached the extent that microcontrollers are now the number-one selling electronic chip of all kinds. Simultaneously, the field of lab-on-a-chip research and technology has seen major technological leaps towards sample handling, sample preparation, and sensing for use in molecular diagnostic devices. Yet, the transformation from a laboratory based lab-on-a-chip technology to actual point-of-care device products has largely been limited to a fraction of the foreseen potential. We believe that increased knowledge of the vast possibilities that becomes available with open source microcontrollers, especially when embedded in easy-to-use development environments, such as the Arduino or Raspberry Pi, could potentially solve and even bridge the gap between lab-on-a-chip technology and real-life point of care applications. The profuse availability and extraordinary capabilities of microcontrollers, namely within computation, communication, and networking, combined with easy-to-use development environments, as well as a very active and fast moving community of makers, who are eager to share their knowledge, could potentially be the difference between a dreadful “chip-in-a-lab”-situation, and the next successful start-up. Here follows a brief insight into how open source microcontrollers could potentially have a transformative effect on the field of lab-on-a-chip research and technology. Details in some specific areas of application are briefly treated before addressing challenges and future perspectives.

Psychotherapie der chronischen Depression

2015 ◽  
Vol 34 (11) ◽  
pp. 880-887
Author(s):  
L. Sabaß ◽  
J. Dewald-Kaufmann ◽  
A. Jobst ◽  
F. Padberg
Keyword(s):  
Cognitive Behavioral ◽  
Behavioral Analysis ◽  
Dsm 5 ◽  
Icd 10 ◽  
Analysis System

ZusammenfassungChronische Verläufe depressiver Störungen werden diagnostisch in ICD-10 nicht ausreichend abgebildet. Zu der im neuen DSM-5 verankerten Krankheitsentität der “persistierenden depressiven Störung” gibt es kein Korrelat. Gleichwohl ist der Langzeitverlauf depressiver Störungen von hoher klinischer Relevanz. Chronizität ist mit Therapieresistenz und vermehrter Suizidalität assoziiert, ist durch erhebliche psychosoziale Einschränkungen gekennzeichnet und mit z. B. einer höheren Komorbidität mit Angstsyndromen, somatoformen Beschwerden und Persönlichkeitsstörungen vergesellschaftet. In vielen Leitlinien wird dabei ein kombiniertes Vorgehen aus Pharmakotherapie, anderen neurobiologischen Therapieansätzen und Psychotherapie empfohlen. Diese Übersichtsarbeit stellt die wesentlichen psychotherapeutischen Ansätze für die Behandlung chronischer Depressionen zusammen und bewertet die Studienlage. Aufgrund der aktuellen Datenlage ergibt sich hierbei ein Fokus auf das Cognitive Behavioral Analysis System of Psychotherapy (CBASP), das gegenwärtig in vielen Kliniken sowie in ambulanten und teilstationären Settings erprobt wird. Zudem wird ein Ausblick auf notwendige Entwicklungen und Forschungsbedarf im Bereich chronischer Depressionen gegeben.

Developing Food Sensory Analysis Information System using Waterfall Software Engineering Model

2017 ◽  
Vol 4 (2) ◽  
pp. 63-81
Author(s):  
Stefanus Oliver ◽  
Abdullah Muzi Marpaung ◽  
Maulahikmah Galinium
Keyword(s):  
Software Engineering ◽  
Sensory Analysis ◽  
Acceptance Testing ◽  
Design Activity ◽  
User Requirements ◽  
Human Errors ◽  
Web Based ◽  
Entity Relationship ◽  
Entity Relationship Diagram ◽  
Analysis System

Food sensory analysis is the terms from the field of Food Technology that has a meaning which means sensory evaluation of food that is conducted by the food sensory evaluators. Currently, food sensory analysis is conductedmanually. It can caus e human errors and consume much ti me. The objective of this research is to build a web based application that is specific for food sensory analysis using PHP programming language. This research followsfour first steps of waterfall software engineering mod el which are user requirements ana lysis (user software and requirements analysis), system design (activity, use cases, architecture, and entity relationship diagram),implementation (software development), and testing (software unit, functionality, validit y, and user acceptance testing). T he software result is well built. It is also acceptable for users and all functionality features can run well after going through those four software testing. The existence of the software brings easiness to deal with the manual food sensory analysis exper iment. It is considered also for the future it has business value by having open source and premium features.

scholarly journals Monitoring System for Tracking a PV Generator in an Experimental Smart Microgrid: An Open-Source Solution

2021 ◽  
Vol 13 (15) ◽  
pp. 8182
Author(s):  
José María Portalo ◽  
Isaías González ◽  
Antonio José Calderón
Keyword(s):  
Open Source ◽  
Monitoring System ◽  
Smart Grids ◽  
Raspberry Pi ◽  
Operator Interface ◽  
Open Source Hardware ◽  
Real Time Information ◽  
And Storage ◽  
Time Information ◽  
Pv Generator

Smart grids and smart microgrids (SMGs) require proper monitoring for their operation. To this end, measuring, data acquisition, and storage, as well as remote online visualization of real-time information, must be performed using suitable equipment. An experimental SMG is being deployed that combines photovoltaics and the energy carrier hydrogen through the interconnection of photovoltaic panels, electrolyser, fuel cell, and load around a voltage bus powered by a lithium battery. This paper presents a monitoring system based on open-source hardware and software for tracking the temperature of the photovoltaic generator in such an SMG. In fact, the increases in temperature in PV modules lead to a decrease in their efficiency, so this parameter needs to be measured in order to monitor and evaluate the operation. Specifically, the developed monitoring system consists of a network of digital temperature sensors connected to an Arduino microcontroller, which feeds the acquired data to a Raspberry Pi microcomputer. The latter is accessed by a cloud-enabled user/operator interface implemented in Grafana. The monitoring system is expounded and experimental results are reported to validate the proposal.

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