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Quantitative Analysis of the Proteomic Selectivity of Acidic Reductive Alkylation of Peptides
No full textProteome quantification is a complicated process which takes on many methods, usually involving peptide derivatization and complex mass spectral analysis. Scores of techniques have been utilized to address issues of incomplete quantification. The implementation of IPTL labeling, or isobaric peptide terminal labeling, is a recent addition to the literature, which exploits the supposedly selective labeling of N-termini of tryptic peptides from the C-termini of lysine residues due to differences in basicity. This method has been shown to improve quantitation by reducing spectral complexity and provide more accurate and reproducible results on peptide abundance. Investigations into the selectivity of terminal derivatization have been lacking luster and provide little explanation for the chemical nature behind the fact of the selectivity of terminal labeling. This paper will investigate selectivity across various Lys-containing tryptic peptides, accounting for pH change, reaction time, labeling concentration, and selected aldehydes. It will also describe the use of an automated liquid handler from Opentrons, which is utilized to improve reproducibility, and reduce analyst error and deviation, via standardization of technique
Mapping Galactic Acceleration with Pulsar Timing
No full textWe have conducted a cross match of objects in Gaia Early Data Release 3 and millisecond pulsars (MSPs) in the International Pulsar Timing Array’s Data Release 2 (IPTA DR2) to identify binary systems. Gaia has parallax measurements for these optical companions, which we combine with pulsar timing based parallax measurements to calculate new combined MSP distances. Through this crossmatch with IPTA DR2 we improved five distance measurements and found the first parallax measurement for one MSP.
Using this Gaia crossmatch method now with a well-timed subset of the Australia Telescope National Facility’s database, we found three new pulsar distances. We use only pulsars which are so precisely timed that the time derivatives of their binary periods have been measured. This change is in part the result of the relative acceleration between Earth and the pulsar. When measurements of the pulsar’s proper motion and distance are available, it is possible to isolate this effect and measure the galactic acceleration at the pulsar’s position. Thus by employing the Gaia cross match to find new pulsar distances, we make it possible to find more measurements of galactic acceleration.
We have created a data release of these acceleration values for 31 pulsars and mapped the data in three dimensions. This includes all stable pulsars which have measured orbital period derivatives, distances, and proper motions in the galaxy. We validate the data with an analysis of a simple local acceleration model and find the local acceleration gradient. The results indicate a local disk density of 0.062-0.034+0.026 solar masses per cubic parsec
Shakespearean Constellations
No full textSarah Bradshaw’s thesis argues that Shakespeare\u27s legacy is a fundamentally collaborative product. Rather than viewing Shakespeare’s legacy as the product of a single individual, what Shakespeare has come to mean over the past 400 years is altered by those who read, depict, and adapt these texts. Bradshaw presents Shakespeare, Romantic critics, and film adaptors as artists collaborating with their pasts and presents to adapt texts into new environments. By adopting Walter Benjamin’s metaphor of the constellation, Bradshaw theorizes Shakespeare’s legacy as a larger image in which each source, reading, and adaptation operates as a discrete object of study that together create a “Shakespearean constellation.” This project analyzes Shakespeare’s role as an adaptor in the creation of King Lear, Romantic critics who offer influential readings of Hamlet and adapt the play into their own critical settings, and film adaptors who present and depict Hamlet in a new medium with individual and cultural goals in mind. In this way, Bradshaw presents collaboration and adaptation as fundamental elements at work within Shakespeare’s shifting legacy
The Fashioning of Individual and Group Identities in the ThriftTok Community
No full textIn the wake of the Covid-19 lockdown, a noticeable surge of videos focused on thrifted clothing appeared on the social media platform TikTok, coinciding with an increase in offline thrift store traffic. Individual contributors to these trends comprise a networked community of popular creators and lifestyle followers of these thrifting videos on TikTok, or “ThriftTok,” based on the commonly-used hashtag of the same name. The ThriftTok community is not monolithic. Its productions encompass a spectrum of videos ranging from flea market explorations and goth-style thrifted fashion, to reselling tips and “thrift with me” videos. Its participants range from indie band members to Twilight fans and teenage entrepreneurs. Through a small-scale cultural analysis, this study explores how North American youth engage with thrifting-related TikTok videos. The objective is to understand the cultivation of group and individual identities through shared customs, the app’s affordances, and the symbolic meanings of the clothing itself. This analysis describes how networked users interconnect through the practice of thrifting. The community’s distinct styles assist in crafting and displaying identity– a process that occurs alongside nostalgic sentiments and self-satirizing humor. It also explores disharmony within the group identity and how this relates to broader frustrations about commodified identities, as well as consumer capitalism’s emphasis on fast-fashion at the expense of fair labor practices and sustainable policies
The Contribution of Self-Compassion to Anxiety and Mood in Daily Life
No full textSelf-compassion, the act of being kind and understanding towards oneself, has been shown to have positive impacts on mental health. Depression and anxiety are both common mental health disorders that can interfere with an individual’s ability to function in daily life. Several studies have shown that self-compassion correlates with depression and anxiety at a cross-sectional level and across longer periods of time (e.g., several months). In the present study, we examined the fluctuations and the directionality of self-compassion, depression, and anxiety on a day-to-day basis over the span of a week. We also examined the ways that worry and rumination mediate the relationship between daily fluctuations of self-compassion, depression, and anxiety across time. Participants were n = 70 general psychology students and adult community volunteers from the University of Connecticut (insert racial demographics, age demographics, gender). Participants were sent a link to a survey via email to complete each night, at the same time, for 7 consecutive days. Each night, participants self-reported on self-compassion, depression, worry, rumination and anxiety. Mediation analyses showed that worry mediates the relationship between self-compassion and anxiety, but rumination does not mediate the relationship between self-compassion and depression, contrary to previous findings in the literature. MLM showed that there is a significant bidirectional association between self-compassion and anxiety and between self-compassion and depression on a day-to-day basis. The results of this study suggest self-compassion is closely related to fluctuations in anxiety and mood, and that worrying in particular may explain the relationship between self-compassion and anxiety
Automatic Identification of Jetting Behavior in 3D Printing with Binary Classification and Anomaly Detection
No full textConsistently jetting different materials from the print head of a 3D printer is a key, yet challenging task in manufacturing processes. By using active machine learning, we can efficiently predict complex diagrams that illustrate the region of printing conditions under which “desirable jetting”, “jetting”, and “no jetting” of ink occurs for different substances. However, labeling the images of printed ink droplets that are fed to the active learning model can be time intensive. Therefore, it is ideal to use computer vision to automate the classification of this image data. This classification can be broken down into two steps. In the first step, we are interested in distinguishing between images that exhibit any jetting and those that show no jetting at all. To perform this binary classification, a convolutional neural network (CNN) is trained on a dataset consisting of both “jetting” and “no jetting” images. Because there is a relative lack of data exhibiting “no jetting”, data augmentation is applied in order to create a balanced number of images between the two classes and prevent bias towards the “jetting” class. In the second step, the differentiation between “desirable/consistent” and “inconsistent/satellite” jetting is made. “Inconsistent/satellite” jetting can present itself in many different ways, so the variation between images of this “class” becomes troublesome for binary classification. Instead, autoencoders can be used for anomaly detection, where “desirable/consistent” jetting is the normal class, and “inconsistent/satellite” images would be anomalies. The autoencoder is trained on only consistent jetting images, compresses the image data into a latent representation, and then attempts to reconstruct the original image data using the latent representation as an input into a decoder. The decoder has trouble reconstructing the original image when given the latent representation of an “inconsistent/satellite” image, yielding a high reconstruction error. Jetting images that generate a reconstruction error higher than a specified threshold are deemed anomalies, and thus not “desirable” jetting
Adjudication under the Individuals with Disabilities Education Act: Explicitly Plentiful Rights but Inequitably Paltry Remedies
No full textThis Article proposes an invigoration in the exercise of the broad equitable authority of hearing officers under the Individuals with Disabilities Act. Providing a higher priority on, and an affirmative presumption for, remedying violations of the Act is in the interest of all parties, extending from the individual child to the child’s parents, the school district, the broader stakeholders, and the systemic improvements that is the statutory purpose. The task is not an easy one, especially given the rather tight timeline for completion of hearing officer proceedings, but it is doable with well-tailored creativity and efficiency. As the contents of the Article also explain and illustrate, the benefits of truly “doing equity” are worth this paradigm shift of prevailing practice
Disrupting Dominance
No full textClimate change poses one of the greatest threats to human health and well-being. It also poses enormous challenges to the rule of law. As climate change progresses and climate impacts intensify, it becomes increasingly urgent to consider whether and how we are drawing upon the law as a tool to advance human adaptation to climate change. Equally, we must consider whether and how the evolving rule of law around climate change responds to existing patterns of social, political, and economic inequality. These are the questions this article engages.
As a starting point, this Article centers human vulnerability as a necessary focal point for analyzing adaptation law. Humans are vulnerable to climate change. However, levels of vulnerability vary widely depending on who we are and where we live. The spaces we live and the places we call home are characterized by inequalities and precarities that shape how resilient communities are in the face of climate change. Climate change will exacerbate these inequalities absent intentional efforts to surface and disrupt dominance in climate adaptation strategies.
Disrupting Dominance advances the project of disrupting patterns of dominance and enabling more effective and equitable climate adaptation law. To achieve these goals, the Article contextualizes the extensive but disparate threats climate change poses to humans before examining the evolving but underdeveloped legal architecture for adaptation planning. Disrupting Dominance then engages the questions of what vulnerability is and why vulnerability matters in the context of climate change adaptation. Here we make our case for moving towards a model of adaptation planning that is responsive to the needs, priorities, and capacities of all members of society. Finally, this Article explores climate adaptation in context to show how different local governments vary in their commitment to disrupting dominance and centering equity in climate adaptation planning.
Disrupting Dominance offers a critical intervention in climate adaptation law. It demonstrates how dominance limits the ability of communities to flourish in the face of climate adversity and offers a more equitable and sustainable model for climate adaptation law
Hey, Teacher, Leave Them Kids Alone: Facilitation in Modern Band
No full textThe purpose of this investigation was to examine a single modern band ensemble to discover how an ensemble director/facilitator implemented student-centered pedagogical approaches. Examinations of practical applications of facilitation were found due, in part, to an educational approach that promoted the opinions and decisions of students. The facilitator encouraged students to share their knowledge, opinions, and suggestions for the ensemble’s direction. Findings include the significance of sharing knowledge between students in a relaxed atmosphere in which student agency, autonomy, and democratic decision-making were key tenets. Data analysis revealed musical and social benefits with a facilitator who championed a democratized and deterritorialized approach within a relaxed environment. Through an approach of shared power, student voice and choice increased, and there existed a co-constructed ensemble. Modeling was found to be a key tenet of learning and communication between the ensemble’s members reflected the ways that students learned on their own. Pedagogical suggestions for music education include increased autonomy and student agency in all classrooms; the provision of pathways for teachers to develop facilitation and peer mentoring skills. Other implications for the profession include the implementation of facilitation in all ensembles to address hegemonic, teacher-focused methodologies