Open source paradigm is becoming widely accepted in scientific communities and open source hardware is finding its steady place in chemistry research. In this review article, we provide the reader with the most up-to-date information on open source hardware and software resources enabling the construction and utilization of an "open source capillary electrophoresis instrument". While CE is still underused as a separation technique, it offers unique flexibility, low-cost, and high efficiency and is particularly suitable for open source instrumental development. We overview the major parts of CE instruments, such as high voltage power supplies, detectors, data acquisition systems, and CE software resources with emphasis on availability of the open source information on the web and in the scientific literature. This review is the first of its kind, revealing accessible blueprints of most parts from which a fully functional open source CE system can be built. By collecting the extensive information on open source capillary electrophoresis in this review article, the authors aim at facilitating the dissemination of knowledge on CE within and outside the scientific community, fosters innovation and inspire other researchers to improve the shared CE blueprints.
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http://dx.doi.org/10.1002/elps.201800304 | DOI Listing |
Open J Psychol
January 2025
Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Background: Puberty is a crucial developmental milestone that involves significant physiological, emotional, and behavioral changes. Early puberty onset, influenced by both biological and social factors, is associated with an increased risk of engaging in substance use, such as tobacco and marijuana. While high family income is generally linked to delayed puberty onset and lower behavioral risks, these benefits may not be equally protective for Black youth due to the phenomenon of Minorities' Diminished Returns (MDRs).
View Article and Find Full Text PDFOrthop J Sports Med
January 2025
Division of Orthopaedics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Background: While generalized ligamentous laxity is a risk factor for anterior cruciate ligament (ACL) reconstruction failure, there is a paucity of literature evaluating underlying dynamic risk factors predisposing pediatric and adolescent patients to ACL tears or tibial spine fractures.
Purpose: To (1) evaluate differences in baseline knee hyperextension and postoperative knee stiffness between patients who sustained tibial spine fractures versus ACL tears and (2) determine whether there were other demographic and dynamic injury differences between these patients.
Study Design: Cross-sectional study; Level of evidence, 3.
Orthop J Sports Med
January 2025
Department of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Background: Mountain biking (MTB) is a quickly growing sport, with many athletes sustaining high-impact injuries. Current literature has not analyzed the most recent MTB-related national emergency department (ED) injury data.
Hypothesis: It was hypothesized that (1) the total number of injuries presenting to US EDs would significantly increase over the study period, (2) male patients would experience higher rates of shoulder injuries and airborne injury mechanisms than female patients, and (3) youths would present more frequently with injuries of the head and face than adults.
HardwareX
June 2024
Institute for Medical Bioinformatics and Biostatistics (IMBB), Philipps University of Marburg, Hans-Meerwein-Strasse 6, 35032 Marburg, Germany.
The advent of single cell technologies resulted in growing demand for microfluidics in the biological sciences. Commercial platforms have remained expensive, inflexible, and non-customizable black boxes. We developed an open source, multichannel, zero-backflow microfluidics device based on syringe pumps controlled by a Raspberry Pi computer.
View Article and Find Full Text PDFDigit Discov
January 2025
Aix Marseille University, CNRS, ICR 13397 Marseille France
The analysis of nonadiabatic molecular dynamics (NAMD) data presents significant challenges due to its high dimensionality and complexity. To address these issues, we introduce ULaMDyn, a Python-based, open-source package designed to automate the unsupervised analysis of large datasets generated by NAMD simulations. ULaMDyn integrates seamlessly with the Newton-X platform and employs advanced dimensionality reduction and clustering techniques to uncover hidden patterns in molecular trajectories, enabling a more intuitive understanding of excited-state processes.
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