Psychological and spiritual factors affecting well-being among military personnel engaged in remote combat.

INTRODUCTION: Remotely piloted aircraft (RPA) require multiple crewmembers to successfully operate the aircraft. RPAs shape modern warfare and pose challenges for the spiritual-emotional health of RPA personnel. This study explored whether (a) RPA crewmembers could be separated into groups based on their experiences, (b) the groups differed in psychological health outcomes, and (c) they differed in aspects of spiritual well-being. METHOD: Participants included 354 United States Air Force personnel involved in RPA duty. Participants provided demographic information and completed the Work Role Strain Scale as a predictor. Outcome measures included job satisfaction, the Maslach Burnout Inventory, Outcome Questionnaire-45.2, Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5), and medical complaints and psychosocial services indices. The Spiritual Well-Being Scale and Unit Cohesion Scale were assessed as moderating factors. RESULTS: Cluster analysis identified two groups of crewmembers. Psychologically healthy participants included 73.4% of crewmembers (n = 260); the remaining 26.6% (n = 94) were distressed. The distressed group included more imagery analysts, weapon-strike pilots, and females, and fewer sensor operators and males compared with the healthy group. Symptoms among the distressed group included more psychological difficulties and PTSD symptoms, more medical complaints, and greater use of psychosocial services. The distressed group reported greater work-role conflict, role ambiguity, work overload, relationship stress, emotional exhaustion, and cynicism as well as lower job satisfaction, unit cohesion, professional efficacy, and existential well-being. DISCUSSION: The strongest predictors of distress were lack of meaning and feeling overextended at work. Emotional exhaustion and low existential well-being identified distressed crewmembers. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Effects of restricting energy during the gilt development period on growth and reproduction of lines differing in lean growth rate: responses in reproductive performance and longevity.

Longevity and reproductive performance are economically important traits in the swine industry that are largely influenced by nutrition and other environmental factors. Reproductive performance and longevity through 4 parities was assessed in gilts of 2 genetic lines developed on ad libitum access to feed or restricted to 75% of ad libitum intake. A total of 661 gilts were used in a 2 × 2 factorial with half of the gilts allocated to an ad libitum diet (AL; n = 330), while the other half were energy restricted by 25% (R; n = 331) from 123 to 235 d of age. All gilts were sired by an industry maternal line. Dams of the gilts were from either a Large White (W) by Landrace (L) industry maternal line or Nebraska Selection Line 45X, producing gilts designated as W × L (n = 355) and L45X (n = 306), respectively. Daily estrus detection began at 140 d of age to obtain age at puberty (AP). Gilts (n = 510) were mated on their second or later estrus, beginning at 240 d of age. Sow weight and backfat were recorded at 110 d of gestation and weaning of each parity. Number of live-born, stillborn, and mummified pigs per litter and piglet birth and weaning weights were recorded through 4 parities. More L45X than W × L and more AL than R gilts reached puberty by 230 d of age (P < 0.01). Dietary treatment did not affect probability to produce parities 1 to 4 or any litter trait analyzed. The L45X females tended to be more likely to produce parities 1 (P < 0.08) and 3 (P < 0.06), while W × L had heavier litters at birth (P < 0.01) and weaning (P = 0.01). Treatment by parity interactions (P < 0.01) existed for weight and backfat prior to farrowing and backfat at weaning, and weight at weaning exhibited a line by treatment by parity interaction (P = 0.04) as R sows had lower weights and backfats in earlier parities, but caught up to AL sows in later parities. A treatment by parity interaction (P < 0.01) was also present for backfat loss from farrowing to weaning as R gilts lost less backfat than AL in parities 1 and 2, but more in parities 3 and 4. No significant differences were detected between lines or treatments for lifetime production traits. The populations of pigs and data presented here provide a framework for a diverse array of further studies. Alternative approaches to restrict energy have been assessed in addition to methods of marker-assisted and genomic selection for improvement of litter size and sow longevity.

Genome-wide association analysis for porcine reproductive and respiratory syndrome virus susceptibility traits in two genetic populations of pigs1.

Porcine reproductive and respiratory syndrome virus (PRRSV) is an economically important pathogen that continues to threaten swine industry sustainability. The complexity and high genetic diversity of PRRSV has prevented vaccines from conferring adequate protection against disease outbreaks. Genome-wide association analyses of PRRSV experimentally infected pigs representing two genetic lines (n = 174 to 176) revealed two major genomic regions accounting for ~1.2% of the genetic variation in PRRSV-specific antibody level in serum or lung. The major region for serum antibody was mapped to SSC7 near the SLAII complex, which has also been implicated in susceptibility to other swine viral pathogens. Haplotype substitution analysis uncovered potential DQB1 haplotypes associated with divergent effects. A novel major region for lung antibody was mapped to the proximal end of SSC17 with the top SNP overlapping two genes, PRAG1 and LONRF1. Sequencing LONRF1 uncovered polymorphisms within the coding region that may play a role in regulating PRRSV-specific antibody production in lung tissue following PRRSV infection. These data implicate novel host genomic regions (SSC17) that influence PRRSV-specific immune response as well as a common region (SSC7) potentially involved in susceptibility to multiple viral pathogens.

Comparison of stack measurement data from R&D facilities to regulatory criteria: a case study from PNNL.

Chemical emissions from research and development (R&D) activities are difficult to estimate because of the large number of chemicals used and the potential for continual changes in processes. In this case study, stack measurements taken from R&D facilities at Pacific Northwest National Laboratory (PNNL) were examined, including extreme worst-case emissions estimates and alternate analyses using a Monte Carlo method that takes into account the full distribution of sampling results. The objective of this study was to develop techniques to estimate emissions from stack measurement data that take into account a high degree of variability in the actual emissions. The results from these analyses were then compared to emissions estimated from chemical inventories. Results showed that downwind ambient air concentrations calculated from the stack measurement data were below acceptable source impact levels (ASILs) for almost all compounds, even under extreme worst-case analyses. However for compounds with averaging periods of a year, the unrealistic but simplifying extreme worst-case analysis often resulted in calculated emissions that were above the lower level regulatory criteria used to determine modeling requirements or to define trivial releases. Compounds with 24-hr averaging periods were nearly all several orders of magnitude below all, including the trivial release, criteria. The alternate analysis supplied a more realistic basis of comparison and an ability to explore effects under different operational modes.

Estimating air chemical emissions from research activities using stack measurement data.

UNLABELLED: Current methods of estimating air emissions from research and development (R&D) activities use a wide range of release fractions or emission factors with bases ranging from empirical to semi-empirical. Although considered conservative, the uncertainties and confidence levels of the existing methods have not been reported. Chemical emissions were estimated from sampling data taken from four research facilities over 10 years. The approach was to use a Monte Carlo technique to create distributions of annual emission estimates for target compounds detected in source test samples. Distributions were created for each year and building sampled for compounds with sufficient detection frequency to qualify for the analysis. The results using the Monte Carlo technique without applying a filter to remove negative emission values showed almost all distributions spanning zero, and 40% of the distributions having a negative mean. This indicates that emissions are so low as to be indistinguishable from building background. Application of a filter to allow only positive values in the distribution provided a more realistic value for emissions and increased the distribution mean by an average of 16%. Release fractions were calculated by dividing the emission estimates by a building chemical inventory quantity. Two variations were used for this quantity: chemical usage, and chemical usage plus one-half standing inventory. Filters were applied so that only release fraction values from zero to one were included in the resulting distributions. Release fractions had a wide range among chemicals and among data sets for different buildings and/or years for a given chemical. Regressions of release fractions to molecular weight and vapor pressure showed weak correlations. Similarly, regressions of mean emissions to chemical usage, chemical inventory, molecular weight, and vapor pressure also gave weak correlations. These results highlight the difficulties in estimating emissions from R&D facilities using chemical inventory data. IMPLICATIONS: Air emissions from research operations are difficult to estimate because of the changing nature of research processes and the small quantity and wide variety of chemicals used. Analysis of stack measurements taken over multiple facilities and a 10-year period using a Monte Carlo technique provided a method to quantify the low emissions and to estimate release fractions based on chemical inventories. The variation in release fractions did not correlate well with factors investigated, confirming the complexities in estimating R&D emissions.

Effect of salbutamol on lung function and chest wall volumes at rest and during exercise in COPD.

BACKGROUND: Inhaled bronchodilators can increase exercise capacity in chronic obstructive pulmonary disease (COPD) by reducing dynamic hyperinflation, but treatment is not always effective. This may reflect the degree to which the abdomen allows dynamic hyperinflation to occur. METHOD: A double blind, randomised, crossover trial of the effect of 5 mg nebulised salbutamol or saline on endurance exercise time was conducted in 18 patients with COPD of mean (SD) age 67.1 (6.3) years and mean (SD) forced expiratory volume in 1 second (FEV1) of 40.6 (15.0)% predicted. Breathing pattern, metabolic variables, dyspnoea intensity, and total and regional chest wall volumes were measured non-invasively by optoelectronic plethysmography (OEP) at rest and during exercise. RESULTS: Salbutamol increased FEV1, forced vital capacity (FVC) and inspiratory capacity and reduced functional residual capacity (FRC) and residual volume significantly. OEP showed the change in resting FRC to be mainly in the abdominal compartment. Although the mean (SE) end expiratory chest wall volume was 541 (118) ml lower (p<0.001) at the end of exercise, the endurance time was unchanged by the bronchodilator. Changes in resting lung volumes were smaller when exercise duration did not improve, but FEV1 still rose significantly after active drug. After the bronchodilator these patients tried to reduce the end expiratory lung volume when exercising, while those exercising longer continued to allow end expiratory abdominal wall volume to rise. The change to a more euvolumic breathing pattern was associated with a lower oxygen pulse and a significant fall in endurance time with higher isotime levels of dyspnoea. CONCLUSIONS: Nebulised salbutamol improved forced expiratory flow in most patients with COPD, but less hyper-nflated patients tried to reduce the abdominal compartmental volume after active treatment and this reduced their exercise capacity. Identifying these patients has important therapeutic implications, as does an understanding of the mechanisms that control chest wall muscle recruitment.

Microarray profiling for differential gene expression in ovaries and ovarian follicles of pigs selected for increased ovulation rate.

A unique index line of pigs created by long-term selection ovulates on average 6.7 more ova than its randomly selected control line. Expression profiling experiments were conducted to identify differentially expressed genes in ovarian tissues of the index and control lines during days 2-6 of the follicular phase of the estrous cycle. Fluorescently labeled cDNAs derived from ovary and follicle RNA were cohybridized on microarray slides (n = 90) containing 4608 follicle-derived probes printed in duplicate. Statistical analysis of the resulting approximately 1.6 million data points with a mixed-model approach identified 88 and 74 unique probes, representing 71 and 59 unique genes, which are differentially expressed between lines in the ovary and ovarian follicles of different size classes, respectively. These findings indicate that long-term selection for components of litter size has caused significant changes in physiological control of the dynamics of follicular maturation. Genes involved with steroid synthesis, tissue remodeling, and apoptosis, in addition to several genes not previously associated with ovarian physiology or with unknown function, were found to be differentially expressed between lines. This study reveals many potential avenues of investigation for seeking new insights into ovarian physiology and the quantitative genetic control of reproduction.

Generation and sequence characterization of a normalized cDNA library from swine ovarian follicles.

Ovulation rate is a major factor determining litter size in swine and is, therefore, a trait of economic importance to the pork industry. The dynamics of follicle development, which in turn are dictated by a balance between follicle recruitment, maturation, selection, and atresia, are a major determining factor of ovulation rate. The role of several genes expressed in the ovaries during these processes has been described, but studies utilizing large-scale genomic approaches have yet to be conducted to examine gene expression in this tissue more globally. We have developed a normalized cDNA library from swine ovarian follicles in various stages of development, ranging from 2.0 to 10.0 mm in diameter, collected from gilts from divergent genetic lines selected for high and low ovulation rates, during the 7 initial days of the follicular phase of the estrous cycle. EST sequences were obtained from 5231 distinct clones derived from this library. In total, 3479 unique sequence clusters were obtained, of which 2661 singletons (76.5%) were observed. BLASTN searches with the primary sequences from the clusters obtained resulted in 1037 sequences not matching (E <1.0(-06) any of the sequences in the nt database (29.8% novelty rate). This resource will facilitate the use of cDNA microarrays in functional genomics studies aiming at unraveling the genetic and physiological mechanisms underlying follicle maturation and ovulation rate in swine.

Relationship between chloroquine toxicity and iron acquisition in Saccharomyces cerevisiae.

Chloroquine is one of the most effective antimalarials, but resistance to it is becoming widespread. However, we do not fully understand either the drug's mode of action or the mechanism of resistance. In an effort to expand our understanding of the mechanism of action and resistance associated with chloroquine, we used Saccharomyces cerevisiae as a model eukaryotic system. To aid in the discovery of potential drug targets we applied the transcriptional profiling method to identify genes transcriptionally responsive to chloroquine treatment in S. cerevisiae. Among the genes that were differentially expressed with chloroquine treatment were a number of metal transporters involved in iron acquisition (SIT1, ARN2, ARN4, and SMF2). These genes exhibit similar expression patterns, and several are known to be regulated by AFT1, a DNA binding protein, which responds to iron levels in the cell. We investigated the role of chloroquine in iron metabolism by using a variety of approaches, including pharmacological, genetic, and biochemical techniques. For these experiments, we utilized yeast lacking the major iron uptake pathways (FET3 and FET4) and yeast deficient in SIT1, encoding the major up-regulated iron siderophore transporter. Our experiments show that yeast genetically or environmentally limited in iron availability has increased sensitivity to chloroquine in pharmacological assays and that the addition of iron rescues these cells from chloroquine killing. 55FeCl3 accumulation was inhibited in the presence of chloroquine, and kinetic analysis demonstrated that inhibition was competitive. These results are consistent with deprivation of iron as a mechanism of chloroquine killing in yeast.

Venlafaxine in management of hot flashes in survivors of breast cancer: a randomised controlled trial.

BACKGROUND: Hot flashes can be troublesome, especially when hormonal therapy is contraindicated. Preliminary data have suggested that newer antidepressants, such as venlafaxine, can diminish hot flashes. We undertook a double-blind, placebo-controlled, randomised trial to assess the efficacy of venlafaxine in women with a history of breast cancer or reluctance to take hormonal treatment because of fear of breast cancer. METHODS: Participants were assigned placebo (n=56) or venlafaxine 37.5 mg daily (n=56), 75 mg daily (n=55), or 150 mg daily (n=54). After a baseline assessment week, patients took the study medication for 4 weeks. All venlafaxine treatment started at 37.5 mg daily and gradually increased in the 75 mg and 150 mg groups. Patients completed daily hot-flash questionnaire diaries. The primary endpoint was average daily hot-flash activity (number of flashes and a score combining number and severity). Analyses were based on the women who provided data throughout the baseline and study weeks. FINDINGS: 191 patients had evaluable data for the whole study period (50 placebo, 49 venlafaxine 37.5 mg, 43 venlafaxine 75 mg, 49 venlafaxine 150 mg). After week 4 of treatment, median hot flash scores were reduced from baseline by 27% (95% CI 11-34), 37% (26-54), 61% (50-68), and 61% (48-75) in the four groups. Frequencies of some side-effects (mouth dryness, decreased appetite, nausea, and constipation) were significantly higher in the venlafaxine 75 mg and 150 mg groups than in the placebo group. INTERPRETATION: Venlafaxine is an effective non-hormonal treatment for hot flashes, though the efficacy must be balanced against the drug's side-effects. Confirmation of the results of this 4-week study awaits the completion of three ongoing randomised studies to assess the effects of other related antidepressants for the treatment of hot flashes.

SRY and karyotypic status of one abnormal and two intersexual marsupials.

An intersexual agile wallaby (Macropus agilis) with a penis, a pouch and four teats had a sex-chromosome constitution of XXY in lymphocytes and cultured fibroblasts; the sex-determining region Y (SRY) gene was present, consistent with the presence of a testis. An intersexual eastern grey kangaroo (Macropus giganteus) with a small empty scrotum and no penis, and an abnormal red kangaroo (Macropus rufus) with no penis, pouch or teats, both had XX sex-chromosome complements; the SRY gene was not present, consistent with testis absence. The agile wallaby and grey kangaroo described here provide further evidence that scrotal development in marsupials is independent of the Y chromosome. The cause of the abnormalities in the XX individuals cannot be determined until candidate genes are identified. These animals provide a basis for further genetic studies into marsupial intersexuality and sex differentiation.