Meeting the Needs of Gen Z Nurses to Improve Nurse Retention

This benchmark project explores the unique learning styles and generational characteristics of Generation Z nurses (those born between 1995 - 2012). The need exists for a change in traditional orientation and onboarding processes to meet the needs of Gen Z nurses. Gen Y and Gen Z nurses are expected to make up 50% of the workforce by 2024. Retention of these nurses is critical to a hospital organization as it is an effective strategy in dealing with the nursing shortage. Specific strategies for engaging the gen Z nurses include incorporating more digital platforms in the orientation and onboarding process, face to face orientation consisting of interactive small group sessions, and assigning a mentor to each new nurse. This new process will lead to improved retention of a stable nursing team, cost savings for the organization, and improved patient satisfaction

An iterative strategy combining biophysical criteria and duration hidden Markov) models for structural predictions of Chlamydia trachomatis s66 promoters

Background: Promoter identification is a first step in the quest to explain gene regulation in bacteria. It has been demonstrated that the initiation of bacterial transcription depends upon the stability and topology of DNA in the promoter region as well as the binding affinity between the RNA polymerase σ-factor and promoter. However, promoter prediction algorithms to date have not explicitly used an ensemble of these factors as predictors. In addition, most promoter models have been trained on data from Escherichia coli. Although it has been shown that transcriptional mechanisms are similar among various bacteria, it is quite possible that the differences between Escherichia coli and Chlamydia trachomatis are large enough to recommend an organism-specific modeling effort. Results: Here we present an iterative stochastic model building procedure that combines such biophysical metrics as DNA stability, curvature, twist and stress-induced DNA duplex destabilization along with duration hidden Markov model parameters to model Chlamydia trachomatis σ66 promoters from 29 experimentally verified sequences. Initially, iterative duration hidden Markov modeling of the training set sequences provides a scoring algorithm for Chlamydia trachomatis RNA polymerase σ66/DNA binding. Subsequently, an iterative application of Stepwise Binary Logistic Regression selects multiple promoter predictors and deletes/replaces training set sequences to determine an optimal training set. The resulting model predicts the final training set with a high degree of accuracy and provides insights into the structure of the promoter region. Model based genome-wide predictions are provided so that optimal promoter candidates can be experimentally evaluated, and refined models developed. Co-predictions with three other algorithms are also supplied to enhance reliability. Conclusion: This strategy and resulting model support the conjecture that DNA biophysical properties, along with RNA polymerase σ-factor/DNA binding collaboratively, contribute to a sequence\u27s ability to promote transcription. This work provides a baseline model that can evolve as new Chlamydia trachomatis σ66 promoters are identified with assistance from the provided genome-wide predictions. The proposed methodology is ideal for organisms with few identified promoters and relatively small genomes

An iterative strategy combining biophysical criteria and duration hidden Markov) models for structural predictions of Chlamydia trachomatis s66 promoters

Background: Promoter identification is a first step in the quest to explain gene regulation in bacteria. It has been demonstrated that the initiation of bacterial transcription depends upon the stability and topology of DNA in the promoter region as well as the binding affinity between the RNA polymerase σ-factor and promoter. However, promoter prediction algorithms to date have not explicitly used an ensemble of these factors as predictors. In addition, most promoter models have been trained on data from Escherichia coli. Although it has been shown that transcriptional mechanisms are similar among various bacteria, it is quite possible that the differences between Escherichia coli and Chlamydia trachomatis are large enough to recommend an organism-specific modeling effort. Results: Here we present an iterative stochastic model building procedure that combines such biophysical metrics as DNA stability, curvature, twist and stress-induced DNA duplex destabilization along with duration hidden Markov model parameters to model Chlamydia trachomatis σ66 promoters from 29 experimentally verified sequences. Initially, iterative duration hidden Markov modeling of the training set sequences provides a scoring algorithm for Chlamydia trachomatis RNA polymerase σ66/DNA binding. Subsequently, an iterative application of Stepwise Binary Logistic Regression selects multiple promoter predictors and deletes/replaces training set sequences to determine an optimal training set. The resulting model predicts the final training set with a high degree of accuracy and provides insights into the structure of the promoter region. Model based genome-wide predictions are provided so that optimal promoter candidates can be experimentally evaluated, and refined models developed. Co-predictions with three other algorithms are also supplied to enhance reliability. Conclusion: This strategy and resulting model support the conjecture that DNA biophysical properties, along with RNA polymerase σ-factor/DNA binding collaboratively, contribute to a sequence\u27s ability to promote transcription. This work provides a baseline model that can evolve as new Chlamydia trachomatis σ66 promoters are identified with assistance from the provided genome-wide predictions. The proposed methodology is ideal for organisms with few identified promoters and relatively small genomes

All'illustrissimo, ed eccellentissimo signor conte Ottavio Trento nel giorno, che assume la pubblica rappresentanza in Crema / Antonio Ronna °1788!

1 foglio volante (stampato su seta) ; 52 cm Titolo dell'intit Nome dell'A. in calce Luogo e data di stampa presunti: Crema, 1788 Omaggio della citta di Crema al suo nuovo amministratore Var. B: stampato su carta

UNCOVERING LEARNERS’ EXPERIENCES TO NEW NORMAL EDUCATION: IMPLICATIONS OF ASYNCHRONOUS INSTRUCTION IN GE 5: SCIENCE, TECHNOLOGY, AND SOCIETY COURSE TEACHING

The new normal education policy in response to the pandemic crisis pushed institutions to shift from traditional face-to-face to asynchronous instruction that posed challenges particularly to science courses in higher education. The purpose of this study was to understand the learning experiences of the students and the implications of asynchronous teaching instruction in the Science, Technology, and Society course. This study utilized a convergent parallel mixed method of research employing descriptive-comparative and descriptive phenomenological research designs. There were 100 respondents for the quantitative part and 12 participants for the qualitative part. Based on the quantitative findings, the overall implementation of asynchronous instruction in the course was "excellent." Specifically, the level of implementation was "very satisfactory" in terms of Content and Course Evaluation, while "excellent" in terms of Instructional Design, Student Assessment, and Technology. There was no significant difference in the level of implementation of the course asynchronous instruction when analyzed by specialization. Moreover, based on the qualitative analysis, the learning experiences of students in asynchronous instruction were both positive and negative that implied two-way learning experiences. The general recommendation gleaned from the students was science, technology, and society asynchronous delivery improvement that covered teacher improvement, SIM improvement, and assessment tool improvement. The general recommendations of this study were improving asynchronous instruction delivery through teachers training proposals, modification of self-instructional materials, increasing the awareness and effective use of the varied assessment tools in sustaining the needs and interest of students in studying the course, creating a safe learning environment for the students, and conducting future researches to reveal significant factors which affect the learning experiences of students and the other points that the current researchers have not yet explored.  Article visualizations

Neuropsychological functioning in college students who misuse prescription stimulants

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/137497/1/ajad12551.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/137497/2/ajad12551_am.pd

CHALLENGES, TEACHING METHODS AND METHODS OF ASSESSMENT IN ONLINE MODALITY: A CAUSAL-COMPARATIVE AND CORRELATIONAL STUDY

This study aims to determine the cause of the differences on the challenges, teaching methods, and methods of assessment of teachers in online modality, and to establish the relationship among these three variables. It made use of the causal-comparative and correlational research designs. It included as respondents fifty college teachers of Notre Dame of Midsayap College who were variably apportioned among its seven colleges. The respondents were 22-70 years old, composite of males and females; mostly married; and predominantly teaching major courses. All of them were using laptops; mostly were using smartphones, majority were using router/pocket Wi-Fi and camera, several were using desktops; a few of them were using iPad/tablet; and a minority of them were using noise-canceling headsets. The top challenges they experienced in online modality were instruction, assessment and economic related. The primary teaching methods they employed were lecture, demonstration, and discussion. The main methods of assessment they used was the subjective type, and mainly addressed the cognitive domain of learning. There is no significant difference on the challenges, teaching methods, and methods of assessment of respondents when they are grouped according to sex. There is a weak direct relationship between challenges and teaching methods and a very weak positive relationship between challenges and methods of assessment. In both cases, however, the relationships were not significant. There is a moderately strong positive relationship between teaching methods and methods of assessment, and that relationship is highly significant.  Article visualizations

Lhx3, a LIM domain transcription factor, is regulated by Pou4f3 in the auditory but not in the vestibular system

A dominant mutation of the gene encoding the POU4F3 transcription factor underlies human non-syndromic progressive hearing loss DFNA15. Using oligonucleotide microarrays to generate expression profiles of inner ears of Pou4f3 ddl/ ddl mutant and wild-type mice, we have identified and validated Lhx3, a LIM domain transcription factor, as an in vivo target gene regulated by Pou4f3. Lhx3 is a hair cell-specific gene expressed in all hair cells of the auditory and vestibular system as early as embryonic day 16. The level of Lhx3 mRNA is greatly reduced in the inner ears of embryonic Pou4f3 mutant mice. Our data also show that the expression of Lhx3 is regulated differently in auditory and vestibular hair cells. This is the first example of a hair cell-specific gene expressed both in auditory and in vestibular hair cells, with differential regulation of expression in these two closely related systems.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72019/1/j.1460-9568.2007.05332.x.pd

Preliminary examination of polymorphisms of GSTM1, GSTT1, and GSTZ1 in relation to semen quality

Environmental, lifestyle, and occupational exposures on semen quality have been investigated in epidemiological studies with inconsistent results. Genetic factors involved in toxicant activation and detoxification have been examined in relation to the risk of outcomes such as cancer, cardiovascular, and neurologic disorders. However, the effect of common genetic variants in the metabolism of toxicants on semen quality parameters has rarely been evaluated. In this analysis, we evaluated functional SNPs of three genes of the glutathione-S-transferase (GSTM1, GSTT1, GSTZ1) enzyme family

The Healthy Men Study: An Evaluation of Exposure to Disinfection By-Products in Tap Water and Sperm Quality

BackgroundChlorination of drinking water generates disinfection by-products (DBPs), which have been shown to disrupt spermatogenesis in rodents at high doses, suggesting that DBPs could pose a reproductive risk to men. In this study we assessed DBP exposure and testicular toxicity, as evidenced by altered semen quality.MethodsWe conducted a cohort study to evaluate semen quality in men with well-characterized exposures to DBPs. Participants were 228 presumed fertile men with different DBP profiles. They completed a telephone interview about demographics, health history, water consumption, and other exposures and provided a semen sample. Semen outcomes included sperm concentration and morphology, as well as DNA integrity and chromatin maturity. Exposures to DBPs were evaluated by incorporating data on water consumption and bathing and showering with concentrations measured in tap water. We used multivariable linear regression to assess the relationship between exposure to DBPs and adverse sperm outcomes.ResultsThe mean (median) sperm concentration and sperm count were 114.2 (90.5) million/mL and 362 (265) million, respectively. The mean (median) of the four trihalomethane species (THM4) exposure was 45.7 (65.3) μg/L, and the mean (median) of the nine haloacetic acid species (HAA9) exposure was 30.7 (44.2) μg/L. These sperm parameters were not associated with exposure to these classes of DBPs. For other sperm outcomes, we found no consistent pattern of increased abnormal semen quality with elevated exposure to trihalomethanes (THMs) or haloacetic acids (HAAs). The use of alternate methods for assessing exposure to DBPs and site-specific analyses did not change these results.ConclusionsThe results of this study do not support an association between exposure to levels of DBPs near or below regulatory limits and adverse sperm outcomes in humans