Nonscanning climate sensor study

The Nonscanning Climate Sensor represents a new instrument for climate research and global monitoring of the earth radiation budget. It contains a mosaic of array of detectors which measures the outgoing radiation of the earth in all directions without the need for mechanical scanning. The goal is to eliminate all moving parts and obtain highly calibrated measurements for up to one solar cycle (11 years) without being susceptible to mechanical failure. Over set intervals of time, the angular measurements are integrated up to produce total reflected and emitted flux values from each target area on the Earth. To achieve the require sensitivity while maintaining a flat spectral response, an improved dual cavity detector with digital control loop was developed. The detector is self calibrating to maintain high precision over the life of the instrument. Prototype detectors and a complete set of electronics with a microprocessor controller were fabricated and tested. Measurements show that the new detectors are more than an order of magnitude more sensitive than previous versions

Improved Success of Phenotype Prediction of the Human Immunodeficiency Virus Type 1 from Envelope Variable Loop 3 Sequence Using Neural Networks

We have assembled two sets of HIV-1 V3 sequences with defined epidemiologic relationships associated with experimentally determined coreceptor usage or MT-2 cell tropism. These data sets were used for three purposes. First, they were employed to test existing methods for predicting coreceptor usage and MT-2 cell tropism. Of these methods, the presence of one basic amino acid at position 11 or 25 proved to be most reliable for both phenotypic classifications, although its predictive power for the X4 phenotype was less than 50%. Second, we used the sequence sets to train neural networks to infer coreceptor usage from V3 genotype with better success than the best available motif-based method, and with a predictive power equal to that of the best motif-based method for MT-2 cell tropism. Third, we used the sequence sets to reexamine patterns of variability associated with the different phenotypes, and we showed that the phenotype-associated sequence patterns could be reproduced from large sets of V3 sequences using phenotypes predicted by the trained neural network

Studies of the Site and Distribution of CD34+ Cells in Idiopathic Myelofibrosis

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Longitudinal Monitoring of SARS-CoV-2 IgM and IgG Seropositivity to Detect COVID-19.

BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a novel beta-coronavirus that has recently emerged as the cause of the 2019 coronavirus pandemic (COVID-19). Polymerase chain reaction (PCR) based tests are optimal and recommended for the diagnosis of an acute SARS-CoV-2 infection. Serology tests for viral antibodies provide an important tool to diagnose previous exposure to the virus. Here we evaluate the analytical performance parameters of the Diazyme SARS-CoV-2 IgM/IgG serology assays and describe the kinetics of IgM and IgG seroconversion observed in patients with PCR-confirmed COVID-19 who were admitted to our hospital.MethodsWe validated the performance of the Diazyme assay in 235 presumed SARS-CoV-2 negative subjects to determine specificity. Subsequently, we evaluated the SARS-CoV-2 IgM and IgG seroconversion of 54 PCR-confirmed COVID-19 patients and determined sensitivity of the assay at three different timeframes.ResultSensitivity and specificity for detecting seropositivity at ≥15 days following a positive SARS-CoV-2 PCR result, was 100.0% and 98.7% when assaying for the panel of IgM and IgG. The median time to seropositivity observed for a reactive IgM and IgG result from the date of a positive PCR was 5 days (IQR: 2.75-9 days) and 4 days (IQR: 2.75-6.75 days), respectively.ConclusionsOur data demonstrate that the Diazyme IgM/IgG assays are suited for the purpose of detecting SARS-CoV-2 IgG and IgM in patients with suspected SARS-CoV-2 infections. For the first time, we report longitudinal data showing the evolution of seroconversion for both IgG and IgM in a cohort of acutely ill patients in the United States. We also demonstrate a low false positive rate in patients who were presumed to be disease free

Frequency of heterozygous TET2 deletions in myeloproliferative neoplasms

The Philadelphia chromosome (Ph)-negative myeloproliferative neoplasms (MPNs), including polycythemia vera, essential thrombocythemia, and primary myelofibrosis, are a group of clonal hematopoietic stem cell disorders with overlapping clinical and cytogenetic features and a variable tendency to evolve into acute leukemia. These diseases not only share overlapping chromosomal abnormalities but also a number of acquired somatic mutations. Recently, mutations in a putative tumor suppressor gene, ten-eleven translocation 2 (TET2) on chromosome 4q24 have been identified in 12% of patients with MPN. Additionally 4q24 chromosomal rearrangements in MPN, including TET2 deletions, have also been observed using conventional cytogenetics. The goal of this study was to investigate the frequency of genomic TET2 rearrangements in MPN using fluorescence in situ hybridization as a more sensitive method for screening and identifying genomic deletions. Among 146 MPN patients, we identified two patients (1.4%) who showed a common 4q24 deletion, including TET2. Our observations also indicated that the frequency of TET2 deletion is increased in patients with an abnormal karyotype (5%)

Investigation of the relationship of the excited state geometry change and the solvent dependent fluorescence of 9-methyl anthroate

Due to a geometry difference, the polarity of the first excited singlet state of 9-methyl anthroate is shown to be greater than that of the ground state. This polarity difference results in solvent dependent fluorescence properties for this molecule. From the Stokes shift variations of 9-methyl anthroate fluorescence in polar aprotic solvents, the excited state dipole moment is 4.5 D larger than the ground state value. In protic solvents, the Stokes shifts are larger than in polar aprotic solvents indicating a large hydrogen bond contribution to excited state solvation in the former solvents. In non-polar and some polar aprotic solvents, the fluorescence quantum yield (Øf) of 9-methyl anthroate is greater than that of anthracene. It is suggested that the first excited singlet lies at an intermediate position between the first and second triplet states. Thus, the intersystem crossing process to either triplet states. Thus, the intersystem crossing process to either triplet is inhibited and the Øf increases. The Øf of 9-methyl anthroate decreases with increasing solvent polarity. This quenching effect is greatest in the protic solvents. Fluorescence lifetime and Øf data indicate that the quenching in protic solvents is the result of increased rates of radiationless decay. A strong hydrogen bond interaction between the solvent and the excited state inducing an increase in the rate of internal conversion is the likely mode for non-radiative decay in protic solvents

Development of the interRAI Brief Mental Health Screener to Enhance the Ability of Police Officers to Identify Persons with Serious Mental Disorder

Background: Police officers are often the first to respond when persons experience a mental health crisis in the community. They must de-escalate volatile situations involving persons with serious mental disorder (PSMD) and bring the person to the attention of either the criminal justice or mental health care system. It is argued that issues such as repeated police contact, excessive emergency department (ED) wait times, and the criminalization of the mentally ill are evidence that the current system lacks the ability to meet the needs of PSMD. Critics have argued the source of the problem is inadequate police training, and insufficient and poorly organized community mental health services. Others claim that the underlying issue is that the current system for responding to PSMD is dysfunctional. The model is based on the concept that the best way to meet the needs of PSMD is through the integration of systems and services which to date, has remained an impossible goal. Given the current system will not be replaced anytime soon, efforts should be directed toward developing innovative ways to make it easier for the systems to work more effectively together. Objectives: The major objective of this dissertation was to develop and pilot a new mental health screening form, the interRAI Brief Mental Health Screener (BMHS)* to enhance the ability of police officers to identify PSMD, and to support their decision-making. A second objective was to develop a model that best predicts which persons are most likely to be taken to hospital by police officers and which persons most likely to be admitted. A final objective was to analyze the impact that interacting with PSMD has on police resources in terms of the amount of time police officers spend on mental health related calls for service. Methodology: Logistic regression analysis was used to identify 14 predictors of serious mental health disorders from 41,019 cases obtained from the main Resident Assessment Instrument for Mental Health (RAI-MH) database. The RAI-MH is a comprehensive mental health assessment system that is currently used for all persons admitted into a psychiatric hospital in Ontario. Additional clinical, demographic and contextual items were added after consultation with an advisory committee composed of representatives from hospitals and police services resulting in a pilot version of the interRAI BMHS. The County of Wellington and the city of Guelph were selected as the setting for the pilot that included 4 general hospitals, 1 psychiatric facility and the participation of the Ontario Provincial Police (OPP) and the Guelph Police Service. After training police officers to use the new form, the interRAI BMHS was pilot tested over a seven month period commencing May 2011. Hospital records were also accessed to determine patient disposition. Logistic regression was used to develop an algorithm to identify the persons with the highest probability of being taken to hospital by police officers, and those persons who were most likely to be admitted. Results: Police officers from the two jurisdictions in Ontario completed a total of 235 interRAI BMHS forms. Chi square analysis revealed the most common reasons why police officers take persons to hospital included the person considering performing a self-injurious act in the past 30 days, and family, and others were concerned the person was at risk for self-injury. Intoxication by drugs or alcohol and having symptoms of psychosis were not significant reasons for police officers to take a person to hospital. The variables most associated with being admitted after being taken to hospital, included indicators of disordered, such as lack of insight into their mental health problems, abnormal thought process, delusions and hallucinations. Overall, although the terminology differed, the same patterns emerged in the pilot study that previous research reported. Police officers tend to focus on dangerousness and public safety, while clinicians are concerned with indicators of disordered thought. Logistic regression analysis revealed that the 14 variable algorithm used to construct the interRAI BMHS was a good predictor of who was most likely to be taken to hospital by police officers, and who was most likely to be admitted. Another important finding was that the reasons why police officers take persons to hospital were not the same as the reasons why persons are subsequently admitted. This suggests the criminal justice, health and mental health systems are not synchronized. The research also revealed that police officers spend a mean time of over three hours overall devoted to calls for service involving PSMD, and a mean time of just over three hours waiting in the ED. Conclusion: The interRAI BMHS provides useful information for both police officers and ED staff regarding the variables significantly associated with serious mental disorder. It will help support police officer and ED decision-making, and it will contribute to enhancing the training provided to police officers and mental health service providers. Additional research and larger sample sizes will help to further refine the instrument. The interRAI BMHS is based on health system data and written in the language of the health system. As such, it has the potential to both enhance the ability of police officers and other mental health service providers to identify indicators of serious mental disorder, and to help synchronize the criminal justice and mental health care systems. *interRAI stands for the international resident assessment instrument, in international collaborative to improve the quality of life of vulverable persons through a seamless comprehensive assessment system

The Effects of Fast ForWord Language on the Phonemic Awareness and Reading Skills of School-Age Children With Language Impairments and Poor Reading Skills

Purpose—To examine the efficacy of Fast For-Word Language (FFW-L) and 2 other interventions for improving the phonemic awareness and reading skills of children with specific language impairment with concurrent poor reading skills. Method—A total of 103 children (age 6;0 to 8;11 [years;months]) with language impairment and poor reading skills participated. The children received either FFW-L computerized intervention, a computer-assisted language intervention (CALI), an individualized language intervention (ILI), or an attention control (AC) computer program. Results—The children in the FFW-L, CALI, and ILI conditions made significantly greater gains in blending sounds in words compared with the AC group at immediate posttest. Long-term gains 6 months after treatment were not significant but yielded a medium effect size for blending sounds in words. None of the interventions led to significant changes in reading skills. Conclusion—The improvement in phonemic awareness, but not reading, in the FFW-L, CALI, and ILI interventions limits their use with children who have language impairment and poor reading skills. Similar results across treatment conditions suggest that acoustically modified speech was not a necessary component for improving phonemic awareness

Space Station Freedom automation and robotics: An assessment of the potential for increased productivity

This report presents the results of a study performed in support of the Space Station Freedom Advanced Development Program, under the sponsorship of the Space Station Engineering (Code MT), Office of Space Flight. The study consisted of the collection, compilation, and analysis of lessons learned, crew time requirements, and other factors influencing the application of advanced automation and robotics, with emphasis on potential improvements in productivity. The lessons learned data collected were based primarily on Skylab, Spacelab, and other Space Shuttle experiences, consisting principally of interviews with current and former crew members and other NASA personnel with relevant experience. The objectives of this report are to present a summary of this data and its analysis, and to present conclusions regarding promising areas for the application of advanced automation and robotics technology to the Space Station Freedom and the potential benefits in terms of increased productivity. In this study, primary emphasis was placed on advanced automation technology because of its fairly extensive utilization within private industry including the aerospace sector. In contrast, other than the Remote Manipulator System (RMS), there has been relatively limited experience with advanced robotics technology applicable to the Space Station. This report should be used as a guide and is not intended to be used as a substitute for official Astronaut Office crew positions on specific issues