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Research on successful reinstatement of employees terminated for cause has identified a series of variables as predictive of the future success of reinstated employees. In some eighteen studies reviewed for this research project, the focus of these studies was on the characteristics of the reinstated employee or the intentions of the adjudicator in directing that the employee be reinstated and the subsequent employment relationship. Bamberger and Donahue (1999) in their research stated that these study findings are often inconsistent and conclusions are often hard to draw due to sampling and study design problems (Bamberger and Donahue, 1999). It appears that no research has been conducted assessing the impact of the manager's leadership behaviors on post-reinstatement employees. The Reformed view of the Christian faith is strongly in favor of redemption as it is expressed through restoration (Plantinga, 2002). In the Reformed viewpoint, God isn't content to just save souls. God wants to save and restore individual activities, social systems, and economic structures (Plantinga, 2002). This includes the restoration of the management-labor relationship as well (Plantinga, 2002). With this core belief of the Reformed faith as the impetus, the researcher sought to identify where this practice of redemption leading to restoration might exist in the management literature. In this pursuit, consideration was given to those occasions where employees who had previously failed in their work performance in their first effort were given \"second chances\" through some remedy of reinstatement. The goal of this research project was to identify those redemptive managerial behaviors which were most often observed in incidents of successful reinstatement and improved performance by previously discharged employees. These common behaviors are being called \"redemptive behaviors\" because they have been consistently present in the success of both the employee and the organization. Some measures of the success of the reinstatement were defined as employees who returned and remained with the firm for a period of at least six months and demonstrated the same or an improved level of performance, as observed by the manager, such as higher work attendance rate, reduced or non-repeating absenteeism, lower turnover rates, and positive productivity.

Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides, located within the intergenic stretches or overlapping antisense transcripts of protein coding genes. LncRNAs are involved in numerous biological roles including imprinting, epigenetic regulation, apoptosis, and cell cycle. To determine whether lncRNAs are associated with clinical features and recurrent mutations in older patients (aged ≥60 y) with cytogenetically normal (CN) acute myeloid leukemia (AML), we evaluated lncRNA expression in 148 untreated older CN-AML cases using a custom microarray platform. An independent set of 71 untreated older patients with CN-AML was used to validate the outcome scores using RNA sequencing. Distinctive lncRNA profiles were found associated with selected mutations, such as internal tandem duplications in the FLT3 gene ( FLT3 -ITD) and mutations in the NPM1 , CEBPA , IDH2 , ASXL1 , and RUNX1 genes. Using the lncRNAs most associated with event-free survival in a training cohort of 148 older patients with CN-AML, we derived a lncRNA score composed of 48 lncRNAs. Patients with an unfavorable compared with favorable lncRNA score had a lower complete response (CR) rate [ P < 0.001, odds ratio = 0.14, 54% vs. 89%], shorter disease-free survival (DFS) [ P < 0.001, hazard ratio (HR) = 2.88] and overall survival (OS) ( P < 0.001, HR = 2.95). The validation set analyses confirmed these results (CR, P = 0.03; DFS, P = 0.009; OS, P = 0.009). Multivariable analyses for CR, DFS, and OS identified the lncRNA score as an independent marker for outcome. In conclusion, lncRNA expression in AML is closely associated with recurrent mutations. A small subset of lncRNAs is correlated strongly with treatment response and survival. Significance Long noncoding RNAs (lncRNAs) are involved in numerous biological roles including epigenetic regulation, apoptosis, and cell cycle. Whereas lncRNAs contribute to epigenetic gene regulation, metastasis, and prognosis in solid tumors, their role in acute myeloid leukemia (AML) has not been hitherto reported. Here, we show that lncRNA expression profiles are associated with recurrent mutations, clinical features, and outcome in AML. A fraction of these lncRNAs may have a functional role in leukemogenesis. Furthermore, lncRNAs could be used as biomarkers for outcome in AML. The identification of patients likely to achieve complete remission with standard therapy alone, based on lncRNA expression, is a significant advance potentially sparing such patients from other toxicities and focusing investigational approaches on postremission studies.

Radiation therapy (RT) continues to be one of the most popular treatment options for localized prostate cancer (CaP). Local CaP recurrence after RT is a pattern of treatment failure attributable to radioresistance of cancer cells. One major obstacle to RT is that there is a limit to the amount of radiation that can be safely delivered to the target organ. Recent results indicate that phosphoinositide 3-kinase (PI3K)/Akt/phosphatase and tensin homolog (PTEN)/mammalian target of rapamycin (mTOR) signaling pathway, autophagy, epithelial–mesenchymal transition (EMT) and cancer stem cells (CSCs) are involved in CaP metastasis and radioresistance. Emerging evidence also suggests that combining a radiosensitizer with RT increases the efficacy of CaP treatment. Understanding the mechanisms of radioresistance will help to overcome recurrence after RT in CaP patients and prevent metastasis. In this review, we discuss the novel findings of PI3K/Akt/PTEN/mTOR signaling pathway, autophagy, EMT and CSCs in the regulation of CaP metastasis and radioresistance, and focus on combination of radiosensitizers with RT in the treatment of CaP in preclinical studies to explore novel approaches for future clinical trials.

Current standard biomarkers in clinic are not specific enough for prostate cancer (PCa) diagnosis. Extracellular vesicles (EVs) are nano-scale vesicles released by most mammalian cells. EVs are promising biomarker source for PCa liquid biopsy due to its minimal invasive approach, rich information and improved accuracy compared to the clinical standard prostate-specific antigen (PSA). However, current EV separation methods cannot separate pure EVs and the quality characteristics from these methods remain largely unknown. In this study, we evaluated the quality characteristics of human plasma-derived EVs by comparing three clinical suitable separation kits. We combined EV separation by commercial kits with magnetic beads capture and flow cytometry analysis, and compared three kits including ExoQuick Ultra based on precipitation and qEV35 and qEV70 based on size exclusion chromatography (SEC). Our results indicated that two SEC kits provided higher EV purity and lower protein contamination compared to ExoQuick Ultra precipitation and that qEV35 demonstrated a higher EV yield but lower EV purity compared to qEV70. Particle number correlated very well particularly with CD9/81/63 positive EVs for all three kits, which confirms that particle number can be used as the estimate for EV amount. At last, we found that several EV metrics including total EVs and PSA-specific EVs could not differentiate PCa patients from health controls. We provided a systematic workflow for the comparison of three separation kits as well as a general analysis process in clinical laboratories for EV-based cancer diagnosis. Better EV-associated cancer biomarkers need to be explored in the future study with a larger cohort.

This study examined seasonal differences in microbial community structure in the sediment of three streams in North Carolina's Neuse River Basin. Microbes that reside in sediment are at the base of the food chain and have a profound influence on the health of freshwater stream environments. Terminal-Restriction Fragment Length Polymorphism (T-RFLP), molecular fingerprint analysis of 16S rRNA genes was used to examine the diversity of bacterial species in stream sediment. Sediment was sampled in both wet and dry seasons from an agricultural (Bear), mixed urban (Crabtree) and forested (Marks) Creek, and the microbiota examined. Gamma, Alpha and Beta proteobacteria were prevalent species of microbial taxa represented among all sites. Actinobacteria was the next most prevalent species observed, with greater occurrence in dry compared to the wet season. Discernable clustering was observed of Marks and Bear Creek samples collected during the wetter period (September-April), which corresponded with a period of higher precipitation and cooler surface water temperatures. Although not statistically significant, microbial community structure appeared different between season (ANOSIM, R = 0.60; p < 0.10). Principal components analysis confirmed this pattern and showed that the bacterial groups were separated by wet and dry seasonal periods. These results suggest seasonal differences among the microbial community structure in sediment of freshwater streams and that these communities may respond to changes in precipitation during wetter periods.

Abstract Since 2005, NOAA has conducted the annual Intensity Forecasting Experiment (IFEX), led by scientists from the Hurricane Research Division at NOAA’s Atlantic Oceanographic and Meteorological Laboratory. They partner with NOAA’s Aircraft Operations Center, who maintain and operate the WP-3D and Gulfstream IV-SP (G-IV) Hurricane Hunter aircraft, and NCEP’s National Hurricane Center and Environmental Modeling Center, who task airborne missions to gather data used by forecasters for analysis and forecasting and for ingest into operational numerical weather prediction models. The goal of IFEX is to improve tropical cyclone (TC) forecasts using an integrated approach of analyzing observations from aircraft, initializing and evaluating forecast models with those observations, and developing new airborne instrumentation and observing strategies targeted at filling observing gaps and maximizing the data’s impact in model forecasts. This summary article not only highlights recent IFEX contributions toward improved TC understanding and prediction, but also reflects more broadly on the accomplishments of the program during the 16 years of its existence. It describes how IFEX addresses high-priority forecast challenges, summarizes recent collaborations, describes advancements in observing systems monitoring structure and intensity, as well as in assimilation of aircraft data into operational models, and emphasizes key advances in understanding of TC processes, particularly those that lead to rapid intensification. The article concludes by laying the foundation for the next generation of IFEX as it broadens its scope to all TC hazards, particularly rainfall, storm-surge inundation, and tornadoes, that have gained notoriety during the last few years after several devastating landfalling TCs.

The acute stage of feline immunodeficiency virus (FIV) infection is characterized by a CD8+ anti-FIV response that parallels the appearance of a CD8+ subpopulation with reduced expression of the β chain (CD8α+βlo). The relationship between the CD8α+βlo phenotype and CD8+ anti-FIV activity was examined. Flow cytometric analysis of peripheral blood mononuclear cells with anti-CD8 β chain monoclonal antibody 117 revealed that the CD8α+βlo phenotype expanded throughout the asymptomatic infection, constituting 80%–90% of the CD8β+ cells in long-term-infected cats. Purified CD8α+βhi and CD8α+βlo subpopulations were analyzed for anti-FIV activity in an acute infection assay. Anti-FIV activity resided principally in the CD8α+βlo population and was demonstrated in acute FIV infections, as well as in long-term asymptomatic infections. These data suggest that a unique CD8α+βlo anti-FIV phenotype arises early in infection and may play a major role in eliminating virus and maintaining the asymptomatic infection.

Intravaginal inoculation of cats with feline immunodeficiency virus (FIV) results in acute systemic infection accompanied by a strong CD8+ immune response that inhibits viral replication. CD8+ anti-FIV activity, revealed by increased FIV replication in peripheral blood mononuclear cells (PBMC) depleted of CD8+ lymphocytes, was detected by 6 weeks after inoculation and correlated with reduced PBMC-associated virus at 12, 16, and 32 weeks after inoculation. Some cats with strong CD8+ anti-FIV activity during acute infection did not seroconvert and yielded no evidence of FIV infection at later times. These data suggest that CD8+ immunity may play a major role in eliminating virus during primary transmucosal FIV infection and may down-regulate viral replication during asymptomatic infection.

Long noncoding RNAs (IncRNAs) are transcripts longer than 200 nucleotides, located within the intergenic stretches or overlapping antisense transcripts of protein coding genes. LncRNAs are involved in numerous biological roles including imprinting, epigenetic regulation, apoptosis, and cell cycle. To determine whether IncRNAs are associated with clinical features and recurrent mutations in older patients (aged ≥ 60 y) with cytogenética I ly normal (CN) acute myeloid leukemia (AML), we evaluated IncRNA expression in 148 untreated older CN-AML cases using a custom microarray platform. An independent set of 71 untreated older patients with CN-AML was used to validate the outcome scores using RNA sequencing. Distinctive IncRNA profiles were found associated with selected mutations, such as internal tandem duplications in the FLT3 gene (FLT3-ITD) and mutations in the NPM1, CEBPA. IDH2. ASXL1. and RUNX1 genes. Using the IncRNAs most associated with event-free survival in a training cohort of 148 older patients with CN-AML, we derived a IncRNA score composed of 48 IncRNAs. Patients with an unfavorable compared with favorable IncRNA score had a lower complete response (CR) rate [P < 0.001, odds ratio = 0.14, 54% vs. 89%], shorter disease-free survival (DFS) [P < 0.001, hazard ratio (HR) = 2.88] and overall survival (OS) (P < 0.001, HR = 2.95). The validation set analyses confirmed these results (CR, P = 0.03; DFS, P = 0.009; OS, P = 0.009). Multivariable analyses for CR, DFS, and OS identified the IncRNA score as an independent marker for outcome. In conclusion, IncRNA expression in AML is closely associated with recurrent mutations. A small subset of IncRNAs is correlated strongly with treatment response and survival.