"Public Library Trustees: Characteristics and Educational Preferences: A Research Study

This post-peer-review, pre-copyedit version of the article submitted to IUPUI ScholarWorks as part of the OASIS Project. Article reproduced with permission of the copyright owner. Further reproduction prohibited without permission. Permission granted through posted policies on copyright owner’s website or through direct contact with copyright owner.This article reports on the methodology and findings of a 2005 survey of Indiana public library trustees. The study ascertained demographics of trustees and asked about their preferred educational content needs and the format in which they wanted it delivered. The trustees selected education about budgeting and strategic planning as their highest priorities. They selected law/liability, board-director relations and several other topics less often. Trustees expressed a strong preference for locally available programming, although many respondents were interested in online delivery options. Compared with earlier studies in other states, a larger percentage of trustees had participated in educational programs (39% in this survey vs. 29% and 20% previously). Finally, as in those earlier studies, trustees are unrepresentative of their populations, being more educated and more female than the citizens for which they govern their libraries

Being in the hidden third: Insights into transdisciplinary ontology

This paper reflects two transdisciplinary (TD) scholars’ attempts to glean deeper insights into Nicolescu’s transdisciplinary ontology (i.e., multiple Levels of Reality and the Hidden Third). Respecting that Nicolescu’s Hidden Third represents the convergence of quantum physics, philosophy, and inner experiences, one TD scholar explored ‘What is it like to be in the Hidden Third?’ by expanding on Nicolescu’s constructs of cyber-space-time and transhumanism, which are grounded in quantum physics. The other TD scholar tendered philosophical insights by offering the idea of ontological emergence and the act of becoming as informed by the transcendentals. The intent was to understand ‘the being of being’ or perhaps ‘the being of becoming.’ The richness of Nicolescu’s ontological thinking offers a range of interpretation and we are grateful for the opportunity to feed off his methodological genius to respectively flourish through questions, clarification and truth seeking

Анализ методов вибродиагностики металлорежущих станков

Цель работы - выработка рекомендаций по применению методов вибродиагностики металлорежущих станков в конкретной задаче. Объект исследования - методы и комплексы вибродиагностики металлорежущих станков. Предмет исследования – систематизация и обобщение методов вибродиагностики металлорежущих станков. Актуальность - отсутствие простой для реализации методики виброиспытаний. В процессе работы были рассмотрены различные методы вибродиагностики металлорежущих станков, сделаны предложения по применению методов вибродиагностики металлорежущих станков в каждой конкретной задаче, создана универсальная методика проведения вибродиагностики металлорежущих станков диагностическим комплексом "Виброрегистратор-М2".The aim of the work is to develop recommendations on the application of vibration diagnostics methods for metal-cutting machine tools in a specific task. The object of research is methods and complexes of vibration diagnostics of metal cutting machines. The subject of the study is the systematization and generalization of methods of vibration diagnostics of metal-cutting machines. Actuality is the absence of a simple vibration testing technique. In the course of the work various methods of vibration diagnostics of metal cutting machines were considered, suggestions were made on the application of vibration diagnostics methods for metal cutting machines in each specific task, a universal technique for performing vibration diagnostics of metal cutting machines with the Vibroregistrator-M2

Residential Move During COVID-19 Pandemic and Psychological Health Among College Students: The Role of Perceived Social Support

Research has widely documented the high stress levels posed to college students by the Coronavirus Disease 2019 (COVID-19). However, the role of social support in mitigating the mental health impacts of stressors like residential instability among college students is less well-researched. Using data from a multi-campus online survey of college students’ experiences during the COVID-19 pandemic (n = 2,486), this study examines the role of social support in the association between residential move during COVID-19 pandemic and college students’ reports of depressive symptoms and anxiety. We tested whether perceived social support was more significantly related to depressive symptoms among students who moved in response to COVID-19. The results show significantly higher levels of depressive symptoms and higher prevalence rates of severe anxiety among college students with COVID-19-related move relative to those who did not move during the pandemic. Irrespective of their residential status, college students who received less support than needed during the pandemic had significantly higher levels of depressive symptoms and higher odds of severe anxiety. The findings add to the existing studies showing how the COVID-19 pandemic compounds the problems of depression and anxiety among college students, particularly those experiencing residential instability and with limited social support

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

A simple and efficient algorithm for genome-wide homozygosity analysis in disease

Here we propose a simple statistical algorithm for rapidly scoring loci associated with disease or traits due to recessive mutations or deletions using genome-wide single nucleotide polymorphism genotyping case–control data in unrelated individuals. This algorithm identifies loci by defining homozygous segments of the genome present at significantly different frequencies between cases and controls. We found that false positive loci could be effectively removed from the output of this procedure by applying different physical size thresholds for the homozygous segments. This procedure is then conducted iteratively using random sub-datasets until the number of selected loci converges. We demonstrate this method in a publicly available data set for Alzheimer′s disease and identify 26 candidate risk loci in the 22 autosomes. In this data set, these loci can explain 75% of the genetic risk variability of the disease