“Reminisces of a Dead World”: Neoclassical Impulses in Stockhausen’s Gesang der Jünglinge

In the years following World War II, integral serialist composers declared their intent to defy all previous musical conventions and eradicate all “rem-inisces of a dead world” from their music. Karlheinz Stockhausen was no exception, asserting his desire “to avoid everything which is familiar, generally known or reminiscent of music already composed.” However, Stockhausen’s Gesang der Jünglinge, de-spite its reputation for technical innovation, bears a strong connection to prior musical traditions. In this regard, Stockhausen resembled the neoclassical school of composers that sought to accommodate antiquated musical materials within a modern con-text.To demonstrate these similarities, I apply to Gesang a model of neoclassicism developed by Martha M. Hyde, a scholar on twentieth-century mu-sic. Hyde identifies two modes by which a neoclassi-cal piece “accommodates antiquity”: metamorphic anachronism and allegory. I argue both are present in Gesang. First, Stockhausen adopts elements of the sacred vocal tradition—including a child’s voice and antiphonal writing—and morphs them into something modern. Second, Stockhausen uses the Biblical story on which Gesang is based as an alle-gory for his own conflicted relationship with the mu-sical past. This analysis reframes Gesang’s signifi-cance and connects Stockhausen’s work to seem-ingly unrelated trends in twentieth-century musical thought.

Learning Predictors from Multidimensional Data with Tensor Factorizations

Statistical machine learning algorithms often involve learning a linear relationship between dependent and independent variables. This relationship is modeled as a vector of numerical values, commonly referred to as weights or predictors. These weights allow us to make predictions, and the quality of these weights influence the accuracy of our predictions. However, when the dependent variable inherently possesses a more complex, multidimensional structure, it becomes increasingly difficult to model the relationship with a vector. In this paper, we address this issue by investigating machine learning classification algorithms with multidimensional (tensor) structure. By imposing tensor factorizations on the predictors, we can better model the relationship, as the predictors would take the form of the data in question. We empirically show that our approach works more efficiently than the traditional machine learning method when the data possesses both an exact and an approximate tensor structure. Additionally, we show that estimating predictors with these factorizations also allow us to solve for fewer parameters, making computation more feasible for multidimensional data.

Topic Modeling and Analysis: Comparing the Most Common Topics in 19th-Century Novels Written by Female Writers

Women authors from the 19th-century have had a profound impact on the literary world due to their critical approach to and inclusion of various so-cial phenomena within their work, such as women's rights, sexuality, and human psychology. This paper seeks to contribute to the discussion by quantifying thematic similarities in eight select novels by various female authors of the 19th-century. These novels were chosen due to their contribution to literature and their popularity, common use in college courses around the world, and the prominence of the female authors. This study included utilizing a programming environment known as R Studio to perform a topic model. Performing a topic model allowed for the discernment of ten main themes or topics that can be generally seen across all eight selected novels, and by extension, 19th-century literature by female authors. The research found initial evidence to sup-port the general understanding of said literature as an endeavor of the themes of social critique and in-dividual consciousness; however, the results were not absolute in conclusion because of the limited size of the corpus. A larger corpus of documents (novels) is necessary to reach further conclusions.

Vitamin D Receptor Binding with DNA in Duodenal Crypt, Duodenal Villi, and Colonic Epithelial Cells of Mice

Vitamin D receptor (VDR) is a transcription factor that mediates calcium absorption by intestinal epithelial cells. Although calcium absorption is ca-nonically thought to occur only in the small intestine, recent studies have shown that VDR activity in the co-lon alone is sufficient to prevent calcium deficiency in mice. Here, we further investigate VDR activity in the colon. We assess VDR-DNA binding in mouse duodenal crypt, duodenal villi, and colonic epithelial cells using Chromatin Immunoprecipitation se-quencing (ChIP-seq). We find that most VDR-respon-sive elements are common to all intestinal epithelial cells, though some VDR-responsive elements are re-gionally-enriched and exhibit greater VDR-binding affinity in either duodenal epithelial cells or colonic epithelial cells. We also assess chromatin accessibil-ity in the same three cell types using Assay for Trans-posase-Accessible Chromatin sequencing (ATAC-seq). By integrating the VDR ChIP-seq and ATAC-seq data, we find that regionally-enriched VDR-re-sponsive elements exhibit greater chromatin acces-sibility in the region of their enrichment. Finally, we assess the transcription factor motifs present in VDR-responsive elements. We find that duodenum- and colon-enriched VDR-responsive elements exhibit different sets of transcription factor motifs other than VDR, suggesting that VDR may act together with dif-ferent partner transcription factors in the two re-gions. Our work is the first investigation of VDR-DNA binding in the colon and provides a basis for further investigations of VDR activity in the colon.

Observing the Demographic Factors of Peer-Nominated Leaders in Urban Middle Schools

This study investigated the relationship between adolescent students' gender and racial/ethnic backgrounds and their likelihood of being identified by their peers as having leadership qualities. A survey designed to gauge peer perceptions of leadership qualities was administered to 1003 middle school students from three diverse public middle schools in a Northeastern US city. The survey asked students to nominate as many students as possible who possess specific leadership characteristics. Female students consistently received more nominations across all survey items at two schools. This pattern was observed for five out of the ten survey items at the third school. At a school with a Hispanic majority, Hispanic students received more nominations for most survey items than Asian, Black, and White students. Additionally, at a school with a Black majority, Asian students received more nominations for all survey items compared to Black and Hispanic students and for nine survey items compared to White students. The results indicate that students' gender and schools' racial/ethnic composition may have some influence on peer perceptions of leadership. Furthermore, significant differences in how youths perceive leadership among peers of different backgrounds may be indicative of bias. Educators and administrators can use this information to make sure that students from marginalized backgrounds have opportunities to grow as leaders.

Role of Autophagy in Phosphatidyl- Glycerol Facilitated Cholesterol Clearance from the Endolysosomal System of Npc-1 Deficient Cells

Niemann Pick Type C (NPC) Disease is a rare lysosomal storage disorder in which one of the genes that codes for either the NPC-1 or NPC-2 pro-tein is mutated, causing cell lysosomes to accumu-late cholesterol and lipids. Previous studies discov-ered that a unique late endosomal/lysosomal phos-pholipid, lysobisphosphatidic acid (LPBA), is in-volved in cholesterol clearance from late endo-somes. It has also been shown that exogenous treat-ment of the NPC-1 deficient cells with LBPA’s precur-sor, phosphatidylglycerol (PG), leads to LBPA enrich-ment and subsequent endolysosomal cholesterol clearance. Autophagy is a mechanism of cellular clearance in the endolysomal system and we are in-terested to see if it is a partial route in cholesterol clearance during PG treatment of NPC-1 deficient cells. To do so, we silenced the gene that codes for an essential protein in the autophagy pathway, mak-ing the cells autophagy deficient. We then treated the cells with PG, measured the amount of choles-terol clearance in those cells, and compared it to cells with normal autophagy. We found significantly less cholesterol clearance by PG in cells with defec-tive autophagy, confirming that autophagy is in-volved as a partial route in cholesterol clearance dur-ing PG treatment, but not enough of a difference to conclude that it is a major underlying mechanism.

Investigating Mimetics of a Peptide Derived from the Effector Domain of MARCKS as Possible Therapeutics for Spinal Cord Injury

Like other conditions affecting the central nervous system, spinal cord injury (SCI) is difficult to treat with molecular therapies because the blood-brain barrier makes intravenous treatments largely ineffective. For example, a synthetic peptide chain derived from the effector domain (ED) of myristoylated alanine-rich C-kinase substrate (MARCKS) has been found to improve functional recovery after SCI in female mice; however, peptides do not always pass the blood-brain barrier and are easily degraded due to natural proteases and are excreted during kidney filtration. Therefore, the ED peptide cannot access the central nervous system to exhibit its effects if administered intravenously. Instead of injecting the ED peptide into the bloodstream, we propose to find compounds that can pass the blood-brain barrier in place of the ED peptide, improving treatment compatibility. To find such alternatives, we screened compound libraries via competitive enzyme-linked immunosorbent assay (ELISA) and identified five potential ED peptide mimetics—compounds that mimic the structure and function of the ED peptide. We then used another competitive ELISA to verify their structural similarity to the peptide. After performing toxicity tests to determine the appropriate concentrations of the mimetics to use in functional assays, we found that all five mimetics trigger a significant increase in neurite length in neurons from female mice, but not male mice, when compared to the vehicle control solution. Although more functional tests are necessary, these results suggest that these mimetics trigger ED peptide functions and may provide a more efficient treatment alternative for SCI.

Characterizing an Alternatively Spliced Variant of Chemokine Receptor 2 in Painful Diabetic Neuropathy

Prior research efforts have demonstrated a link between neuroinflammation and the progres-sion of Painful Diabetic Neuropathy (PDN), a chronic cascade of nerve damage that presents as tingling, numbness, hypersensitivity to touch, or intense pain. Current treatments are focused on pain manage-ment, serving to temporarily mask these symptoms without repressing or slowing nerve damage. The chemokine-receptor system has been closely stud-ied for its role in perpetuating neuropathic pain, alt-hough its precise mechanistic involvement remains unclear due to the network’s complexity. Because of its likely role in regulating neuropathic pain, target-ing CCR2 may be the key to effective treatment of PDN.Alternative splicing of CCR2 leads to two dis-tinct isoforms with different C-terminus sequences, CCR2A and CCR2B. The present study was intended to differentiate between these isoforms through spe-cific primer design, selection of optimized pairs, RT-PCR, and amplicon sequencing to verify the PCR products. However, the study has revealed a third, previously unreported isoform, CCR2C, due to evi-dence of alternative splicing and both the absence and insertion of parts of A and B. In the long term, we predict that the relationship between CCR2’s alternatively spliced transcript variants will lead to a distinct pattern of isoform prevalence in individuals suffering from PDN. Discerning the genetic profiles of patients with PDN and healthy individuals will clar-ify the complex mechanism driving CCR2’s intracel-lular interactions and offer more effective therapeu-tic options.

Workforce Compensation Policies for Lead Teachers in State-Funded Preschool

Each state in the US has different compensation parity policies for their early childhood education programs. Currently, public preschool teachers often have similar qualifications to K-3 teachers but earn significantly lower salaries. Compensation parity policies ensure that equivalent work and qualifications are compensated with equivalent pay and benefits. Using data collected by the National Institute of Early Education Research (NIEER), I organized and analyzed policy data from all state-funded preschool programs in the U.S., with a focus on state compensation parity policies for lead preschool teachers. Ultimately, my purpose was to understand state-funded preschool compensation parity for lead teachers in order to identify areas of improvement for the workforce within early education programs. I initially hypothesized that Pre-K programs that required pay parity did not cost states more per child than Pre-K programs that did not require pay parity. Literature from NIEER and other early education research institutions has shown that quality early education programs are critical in a child’s formative years and suggests that a more satisfied workforce yields more positive outcomes for children. Parity policies in state-funded Pre-K programs are not highly correlated to spending per child or program quality. Moreover, parity policies improve workforce well-being and should still be incorporated into state-funded Pre-K. Results show that there are only six programs across four states that require full salary parity for lead preschool teachers and no states require benefit parity for lead preschool teachers in both public and private settings. No clear pattern has emerged between compensation parity policies and state preschool spending or program quality.

Systematic Analysis of Compounds Present in Ocimum Tenuiflorum (Tulsi) Regarding its Anti-Inflammatory Properties Using In-Silico Techniques

The objective of this study was to gather data, create a database of the compounds present in Ocimum tenuiflorum (O. tenuiflorum), and gather related literature on the compounds found. A thor-ough literature search was performed to gather in-formation on compounds present in O. tenuiflorum, including chemical structures, relative abundance, presence in different plant parts, and availability from chemical supply vendors. The compounds’ chemical structures were refined using Discovery Studio Visualizer and Chimera software for future in-silico docking studies. The structures with cleaned structural geometry were obtained through D.S. Vis-ualizer for docking in the future. From the literature search of previously presented articles, it was found that methyl eugenol had the greatest percent com-position in O. tenuiflorum. After searching the Pro-tein Data Bank, COX-1, COX-2, and NF Kappa B were found to be the main protein targets of O. ten-uiflorum compounds in the arachidonic acid inflamematory pathway. Thus, the anti-inflammatory proper-ties of O. tenuiflorum have been analyzed in this ar-ticle for future in silico docking.