Coherence of an optically illuminated single nuclear spin qubit

We investigate the coherence properties of individual nuclear spin quantum bits in diamond [Dutt et al., Science, 316, 1312 (2007)] when a proximal electronic spin associated with a nitrogen-vacancy (NV) center is being interrogated by optical radiation. The resulting nuclear spin dynamics are governed by time-dependent hyperfine interaction associated with rapid electronic transitions, which can be described by a spin-fluctuator model. We show that due to a process analogous to motional averaging in nuclear magnetic resonance, the nuclear spin coherence can be preserved after a large number of optical excitation cycles. Our theoretical analysis is in good agreement with experimental results. It indicates a novel approach that could potentially isolate the nuclear spin system completely from the electronic environment.Comment: 5 pages, 2 figure

Fostering Significant Learning in Sciences

The new global economy depends on workforce competencies in science, technology, engineering and mathematics more than ever before. To prepare a strong workforce, attracting and educating underrepresented minority students in science is a challenge within our traditional American educational approach. To meet this challenge, fostering significant learning in science that nurtures 21st Century skills in students is crucial. The purpose of this study was to analyze the effectiveness of a set of teaching and learning approaches that foster significant learning in sciences. Using a new introductory environmental science course in urban water quality management, the effect of a set of learner-centered teaching approaches, including hands-on learning, scientific inquiry, frequent feedback, and critical thinking exercises, was analyzed. The results of the pre- and post-course survey questions together with formative and summative assessments showed that our students’ cognitive learning skills and interests in learning science were significantly improved

Fostering Significant Learning in Sciences

The new global economy depends on workforce competencies in science, technology, engineering and mathematics more than ever before. To prepare a strong workforce, attracting and educating underrepresented minority students in science is a challenge within our traditional American educational approach. To meet this challenge, fostering significant learning in science that nurtures 21st Century skills in students is crucial. The purpose of this study was to analyze the effectiveness of a set of teaching and learning approaches that foster significant learning in sciences. Using a new introductory environmental science course in urban water quality management, the effect of a set of learner-centered teaching approaches, including hands-on learning, scientific inquiry, frequent feedback, and critical thinking exercises, was analyzed. The results of the pre- and post-course survey questions together with formative and summative assessments showed that our students’ cognitive learning skills and interests in learning science were significantly improved

Knowledge, Attitudes, and Practices Regarding Smoke-Free Policies in Multi-Unit Housing in Georgia

Background: Nonsmokers living in multi-unit housing (MUH) without a smoke-free (SF) policy are vulnerable to secondhand and thirdhand smoke exposure. This study aimed to investigate the presence and type of SF policies in MUH in Georgia. Another aim was to explore knowledge, beliefs, and attitudes of property managers and owners (PM/Os) regarding SF MUH policies, including e-cigarettes. Methods: Throughout 2015 PM/Os of MUH in Savannah and Atlanta were surveyed regarding SF policies in MUH. A list with contact information of PM/Os was obtained from the ASDE Survey Sampler. The participants were mailed an invitation letter and were called one week later to schedule the interview. To be eligible, the participant must have been an English-speaking adult working as a PM/O in MUH. The survey administered was adapted from a survey designed by CDC’s Office on Smoking and Health. All survey data were entered into SPSS and analyzed using SAS. Results: The greatest number of the 91 PM/Os surveyed were female (70.3%) and/or white (48.4%), with an average age of 41.7 years. Most properties were market-rate (71.3%) or were a mix of market-rate and subsidized units (17.2%). Forty-one PM/Os reported some smoking restriction, while 50 had no policy. Properties mainly prohibited smoking in common outdoor areas (n=18) or inside individual apartments (n=13). Policies included bans of non-cigarette combustible products (n=19), hookah (n=12), e-cigarettes (n=7), and smokeless tobacco (n=5). Most PM/Os reported high compliance and positive resident reactions to the policy. Comparing responses by policy status, no differences in knowledge nor support for tobacco control legislation were found, except for SF outdoor seating in restaurants, which was more frequently supported by PM/Os with smoking restrictions. Personal beliefs on restricting use of cigarettes and e-cigarettes in MUH did not differ significantly by policy status, but those with a SF policy were more supportive of prohibiting smokeless tobacco use in MUH. Conclusions: Implementing smoke-free policies in multi-unit housing is feasible and is generally supported by residents

FM-test: a fuzzy-set-theory-based approach to differential gene expression data analysis

Abstract Background Microarray techniques have revolutionized genomic research by making it possible to monitor the expression of thousands of genes in parallel. As the amount of microarray data being produced is increasing at an exponential rate, there is a great demand for efficient and effective expression data analysis tools. Comparison of gene expression profiles of patients against those of normal counterpart people will enhance our understanding of a disease and identify leads for therapeutic intervention. Results In this paper, we propose an innovative approach, fuzzy membership test (FM-test), based on fuzzy set theory to identify disease associated genes from microarray gene expression profiles. A new concept of FM d-value is defined to quantify the divergence of two sets of values. We further analyze the asymptotic property of FM-test, and then establish the relationship between FM d-value and p-value. We applied FM-test to a diabetes expression dataset and a lung cancer expression dataset, respectively. Within the 10 significant genes identified in diabetes dataset, six of them have been confirmed to be associated with diabetes in the literature and one has been suggested by other researchers. Within the 10 significantly overexpressed genes identified in lung cancer data, most (eight) of them have been confirmed by the literatures which are related to the lung cancer. Conclusion Our experiments on synthetic datasets show that FM-test is effective and robust. The results in diabetes and lung cancer datasets validated the effectiveness of FM-test. FM-test is implemented as a Web-based application and is available for free at http://database.cs.wayne.edu/bioinformatics

The Powerful Role of Mothers in Adolescent Purpose Development

Adolescence is a critical time for the cultivation of life purpose, also known as a meaningful long-term aim focused on contribution to others. Youth with purpose, especially marginalized youth, report a number of positive outcomes. Relationships with caring adults appear to be particularly helpful in guiding young people on their path to purpose, but little work has focused specifically on the role of mothers. This qualitative study, approved by a Institutional Review Board, examines how twenty adolescents from marginalized communities describe their sense of purpose and its relationship to their caregivers. The sample size was determined based on saturation, a process in qualitative research when the researchers begin to observe redundancy in the data. Through content analysis, a major theme emerged: the role of mothers and their impact on purpose development on their children. Results showed that mothers helped their adolescents develop their sense of purpose through serving as a sense of inspiration, providing the adolescents with support, sparking a desire for the adolescents to make their mothers proud, and through the mothers and adolescents in engaging in conversations about one’s future

MCM-test: a fuzzy-set-theory-based approach to differential analysis of gene pathways

Abstract Background Gene pathway can be defined as a group of genes that interact with each other to perform some biological processes. Along with the efforts to identify the individual genes that play vital roles in a particular disease, there is a growing interest in identifying the roles of gene pathways in such diseases. Results This paper proposes an innovative fuzzy-set-theory-based approach, Multi-dimensional Cluster Misclassification test (MCM-test), to measure the significance of gene pathways in a particular disease. Experiments have been conducted on both synthetic data and real world data. Results on published diabetes gene expression dataset and a list of predefined pathways from KEGG identified OXPHOS pathway involved in oxidative phosphorylation in mitochondria and other mitochondrial related pathways to be deregulated in diabetes patients. Our results support the previously supported notion that mitochondrial dysfunction is an important event in insulin resistance and type-2 diabetes. Conclusion Our experiments results suggest that MCM-test can be successfully used in pathway level differential analysis of gene expression datasets. This approach also provides a new solution to the general problem of measuring the difference between two groups of data, which is one of the most essential problems in most areas of research

CRL4^(AMBRA1) targets Elongin C for ubiquitination and degradation to modulate CRL5 signaling

Multi‐subunit cullin‐RING ligases (CRLs) are the largest family of ubiquitin E3 ligases in humans. CRL activity is tightly regulated to prevent unintended substrate degradation or autocatalytic degradation of CRL subunits. Using a proteomics strategy, we discovered that CRL4^(AMBRA1) (CRL substrate receptor denoted in superscript) targets Elongin C (ELOC), the essential adapter protein of CRL5 complexes, for polyubiquitination and degradation. We showed that the ubiquitin ligase function of CRL4^(AMBRA1) is required to disrupt the assembly and attenuate the ligase activity of human CRL5^(SOCS3) and HIV‐1 CRL5^(VIF) complexes as AMBRA1 depletion leads to hyperactivation of both CRL5 complexes. Moreover, CRL4^(AMBRA1) modulates interleukin‐6/STAT3 signaling and HIV‐1 infectivity that are regulated by CRL5^(SOCS3) and CRL5^(VIF), respectively. Thus, by discovering a substrate of CRL4^(AMBRA1), ELOC, the shared adapter of CRL5 ubiquitin ligases, we uncovered a novel CRL cross‐regulation pathway