Sharing the sacrifice, minimizing the pain: Optimal wage reductions.
Ontology highlight
ABSTRACT:
SUBMITTER: Miller K
PROVIDER: S-EPMC7445489 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Publications
Sharing the sacrifice, minimizing the pain: Optimal wage reductions.
Economics letters 20200825
Faced with temporary revenue shocks, employers may implement wage reductions - a common response to COVID-19 for U.S. universities. I provide a framework for optimal reductions when labor is inelastic wherein a planner balances "minimizing the pain" and "sharing the sacrifice." I show that for a broad class of utility functions the optimal schedule includes (1) a cutoff wage below which the reduction is zero and (2) weakly progressive reduction rates above the cutoff wage. I illustrate the resul ...[more]
Similar Datasets
Project description:We present a framework for allocating a global carbon reduction target among nations, in which the concept of "common but differentiated responsibilities" refers to the emissions of individuals instead of nations. We use the income distribution of a country to estimate how its fossil fuel CO(2) emissions are distributed among its citizens, from which we build up a global CO(2) distribution. We then propose a simple rule to derive a universal cap on global individual emissions and find corresponding limits on national aggregate emissions from this cap. All of the world's high CO(2)-emitting individuals are treated the same, regardless of where they live. Any future global emission goal (target and time frame) can be converted into national reduction targets, which are determined by "Business as Usual" projections of national carbon emissions and in-country income distributions. For example, reducing projected global emissions in 2030 by 13 GtCO(2) would require the engagement of 1.13 billion high emitters, roughly equally distributed in 4 regions: the U.S., the OECD minus the U.S., China, and the non-OECD minus China. We also modify our methodology to place a floor on emissions of the world's lowest CO(2) emitters and demonstrate that climate mitigation and alleviation of extreme poverty are largely decoupled.
| S-EPMC2706272 | biostudies-literature
Project description:Without vaccines and treatments, societies must rely on non-pharmaceutical intervention strategies to control the spread of emerging diseases such as COVID-19. Though complete lockdown is epidemiologically effective, because it eliminates infectious contacts, it comes with significant costs. Several recent studies have suggested that a plausible compromise strategy for minimizing epidemic risk is periodic closure, in which populations oscillate between wide-spread social restrictions and relaxation. However, no underlying theory has been proposed to predict and explain optimal closure periods as a function of epidemiological and social parameters. In this work we develop such an analytical theory for SEIR-like model diseases, showing how characteristic closure periods emerge that minimize the total outbreak, and increase predictably with the reproductive number and incubation periods of a disease- as long as both are within predictable limits. Using our approach we demonstrate a sweet-spot effect in which optimal periodic closure is maximally effective for diseases with similar incubation and recovery periods. Our results compare well to numerical simulations, including in COVID-19 models where infectivity and recovery show significant variation.
| S-EPMC7787468 | biostudies-literature
Project description:A recent analytical solution of the three-dimensional Stokes flow through a bumpy tube predicts that for a given bump area, there exists an optimal circumferential wavenumber which minimizes flow resistance. This study uses measurements of microvessel endothelial cell morphology to test whether this prediction holds in the microvasculature. Endothelial cell (EC) morphology was measured in blood perfused in situ microvessels in anesthetized mice using confocal intravital microscopy. EC borders were identified by immunofluorescently labeling the EC surface molecule ICAM-1 which is expressed on the surface but not in the EC border regions. Comparison of this theory with extensive in situ measurements of microvascular EC geometry in mouse cremaster muscle using intravital microscopy reveals that the spacing of EC nuclei in venules ranging from 27 to 106 microm in diameter indeed lies quite close to this predicted optimal configuration. Interestingly, arteriolar ECs are configured to minimize flow resistance not in the resting state, but at the dilated vessel diameter. These results raise the question of whether less organized circulatory systems, such as that found in newly formed solid tumors or in the developing embryo, may deviate from the optimal bump spacing predicted to minimize flow resistance.
| S-EPMC2668589 | biostudies-other
Project description:In 2019, we implemented a pill-based, opioid-minimizing pain protocol and protocolized moderate sedation for dressing changes in order to decrease opioid exposure in burn patients. We hypothesized that these interventions would reduce inpatient opioid exposure without increasing acute pain scores. Two groups of consecutive patients admitted to the burn service were compared: Pre-group (from January 1, 2018 to July 31, 2019) and Post-group (from January 1, 2020 to June 30, 2020) from before and after the implementation of the protocols (from August 1, 2019 to December 31, 2019). We abstracted patient demographics and burn injury characteristics from the burn registry. We obtained opioid exposure and pain scale scores from the electronic medical record. The primary outcome was total morphine milligram equivalents (MMEs). Secondary outcomes included MMEs/day, pain domain-specific MMEs, and pain scores. Pain was estimated by creating a normalized pain score (range 0-1), which incorporated three different pain scales (Numeric Rating Scale, Behavioral Pain Scale, and Behavioral Pain Assessment Scale). Groups were compared using Wilcoxon rank-sum and chi-square tests. Treatment effects were estimated using Bayesian generalized linear models. There were no differences in demographics or burn characteristics between the Pre-group (n = 495) and Post-group (n = 174). The Post-group had significantly lower total MMEs (Post-group 110 MMEs [32, 325] vs Pre-group 230 [60, 840], P < .001), MMEs/day (Post-group 33 MMEs/day [15, 54] vs Pre-group 52 [27, 80], P < .001), and domain-specific total MMEs. No difference in average normalized pain scores was seen. Implementation of opioid-minimizing protocols for acute burn pain was associated with a significant reduction in inpatient opioid exposure without an increase in pain scores.
| S-EPMC8921736 | biostudies-literature
Project description:Jointly minimizing multiple threats over extended time horizons enhances survival. Consequently, many tests of approach-avoidance conflicts incorporate multiple threats for probing corollaries of animal and human anxiety. To facilitate computations necessary for threat minimization, the human brain may concurrently harness multiple decision policies and associated neural controllers, but it is unclear which. We combine a task that mimics foraging under predation with behavioural modelling and functional neuroimaging. Human choices rely on immediate predator probability-a myopic heuristic policy-and on the optimal policy, which integrates all relevant variables. Predator probability relates positively and the associated choice uncertainty relates negatively to activations in the anterior hippocampus, amygdala and dorsolateral prefrontal cortex. The optimal policy is positively associated with dorsomedial prefrontal cortex activity. We thus provide a decision-theoretic outlook on the role of the human hippocampus, amygdala and prefrontal cortex in resolving approach-avoidance conflicts relevant for anxiety and integral for survival.
| S-EPMC6629544 | biostudies-literature
Project description:ContextParticipants in a randomized trial of traditional Chinese medicine (TCM) for temporomandibular joint dysfunction (TMD) had a linear decline in pain over 16 TCM visits.ObjectiveTo investigate whether reductions in pain among participants receiving TCM can be explained by increased use of pain medications, or whether use of pain medications also declined in this group.DesignOne hundred sixty-eight participants with TMD were treated with TCM or enhanced self-care according to a stepped-care design. Those for whom self-care failed were sequentially randomized to further self-care or TCM. This report includes 111 participants during their first 16 TCM visits. The initial 8 visits occurred more than once a week; participants and practitioners determined the frequency of subsequent visits.Outcome measuresAverage pain (visual analog scale, range 0-10) and morphine and aspirin dose equivalents.ResultsThe sample was 87% women and the average age was 44 ± 13 years. Average pain of narcotics users (n = 21) improved by 2.73 units over 16 visits (p < 0.001). Overall narcotics use trended downward until visit 11 (-3.27 doses/week, p = 0.156), and then trended upward until week 16 (+4.29 doses/week, p = 0.264). Among those using narcotics, use of nonsteroidal anti-inflammatory drugs (NSAIDs) declined linearly over visits 1-16 (-1.94 doses/week, p = 0.002).Among the top quartile of NSAID-only users (n = 22), average pain decreased linearly over 16 visits (-1.52 units, p = 0.036). Overall NSAID doses/week declined between visits 1 and 7 (-9.95 doses/week, p < 0.001) and then remained stable through 16 visits. NSAID use also declined among the third quartile (n = 23) and remained low and stable among the lower half (sorted by total intake) of NSAID users.ConclusionsAmong the heaviest NSAID users, we observed a short-term reduction in NSAID use that was sustained as TCM visits became less frequent. There was no indication that pain reduction during TCM treatment was influenced by drug use.
| S-EPMC3442756 | biostudies-literature
Project description:Background/aimsBody mass index (BMI) is positively associated with bone mineral density and type 2 diabetes. We investigated an optimal BMI range for osteoporosis and type 2 diabetes.MethodsThis cross-sectional study used data from the Korea National Health and Nutrition Examination Survey (KNHANES), 2008 to 2011. We included 3,774 men aged > 50 years and 4,982 postmenopausal women. Logistic regression models were applied to elucidate each BMI category's osteoporosis and diabetes risks.ResultsThe prevalence of osteoporosis was 9.0% for men and 40.8% for women. The prevalence of type 2 diabetes in men was 19.7% and in women was 15.5%. In men with BMI > 25 kg/m2, the osteoporosis risk did not further increase as BMI increased. In women, BMI was linearly associated with osteoporosis risk without a plateau. In both men and women, higher BMI was associated with a higher type 2 diabetes risk. Men with a BMI of 23.0 to 24.9 kg/m2 harbored about a 30% lower osteoporosis risk than and a similar diabetes risk to those with a BMI of 21.0 to 22.9 kg/m2. In women with a BMI of 23.0 to 24.9 kg/m2, the adjusted odds ratio for osteoporosis was 0.72 (95% confidence interval, 0.59 to 0.87); the diabetes risk was not higher than in those with a BMI of 21.0 to 22.9 kg/m2.ConclusionFor Korean men aged > 50 years and postmenopausal women, a BMI of 23.0 to 24.9 kg/m2 was the optimal range for minimizing osteoporosis and type 2 diabetes risks simultaneously.
| S-EPMC7652649 | biostudies-literature
Project description:The detailed knowledge of C. elegans connectome for 3 decades has not contributed dramatically to our understanding of worm's behavior. One of main reasons for this situation has been the lack of data on the type of synaptic signaling between particular neurons in the worm's connectome. The aim of this study was to determine synaptic polarities for each connection in a small pre-motor circuit controlling locomotion. Even in this compact network of just 7 neurons the space of all possible patterns of connection types (excitation vs. inhibition) is huge. To deal effectively with this combinatorial problem we devised a novel and relatively fast technique based on genetic algorithms and large-scale parallel computations, which we combined with detailed neurophysiological modeling of interneuron dynamics and compared the theory to the available behavioral data. As a result of these massive computations, we found that the optimal connectivity pattern that matches the best locomotory data is the one in which all interneuron connections are inhibitory, even those terminating on motor neurons. This finding is consistent with recent experimental data on cholinergic signaling in C. elegans, and it suggests that the system controlling locomotion is designed to save metabolic energy. Moreover, this result provides a solid basis for a more realistic modeling of neural control in these worms, and our novel powerful computational technique can in principle be applied (possibly with some modifications) to other small-scale functional circuits in C. elegans.
| S-EPMC5714387 | biostudies-literature
Project description:The COVID-19 pandemic has disrupted current models of healthcare and adaptations will likely continue. With the gradual easing of lockdown measures worldwide, cancer centres must be prepared to implement novel means to prevent repeated waves of infection. There are two limitations unique to oncology - a higher susceptibility of patients to COVID-19 and the multidisciplinary approach required of cancer management. We describe the measures implemented in the largest cancer centre in Singapore to continue optimal cancer care in spite of the ongoing pandemic, with no nosocomial infections reported in our centre to date. We adopted a multipronged approach, with an overall committee supervising the entire COVID-19 management effort. A screening clinic was setup to triage patients prior to entry to the centre. Each Oncology Division within the cancer centre designed solutions tailored to the specific needs of their discipline. We explore in detail the screening criteria and workflow of the screening clinic, as well as modifications by individual divisions to reduce infection risk to patients and healthcare professionals. This approach can be modelled by other cancer centres during this prolonged COVID-19 pandemic.
| S-EPMC7346798 | biostudies-literature
Project description:Pairwise-based methods such as the free energy perturbation (FEP) method have been widely deployed to compute the binding free energy differences between two similar host-guest complexes. The calculated pairwise free energy difference is either directly adopted or transformed to absolute binding free energy for molecule rank ordering. We investigated, through both analytic derivations and simulations, how the selection of pairs in the experiment could impact the overall prediction precision. Our studies showed that (1) the estimated absolute binding free energy ( ?G^ ) derived from calculated pairwise differences (??G) through weighted least squares fitting is more precise in prediction than the pairwise difference values when the number of pairs is more than the number of ligands and (2) prediction precision is influenced by both the total number of pairs and the specifically selected pairs, the latter being critically important when the number of calculated pairs is limited. Furthermore, we applied optimal experimental design in pair selection and found that the optimally selected pairs can outperform randomly selected pairs in prediction precision. In an illustrative example, we showed that, upon weighing ligand structure similarity into design optimization, the weighted optimal designs are more efficient than the literature reported designs. This work provides a new approach to assess retrospective pairwise-based prediction results, and a method to design new prospective pairwise-based experiments for molecular lead optimization. © 2019 Wiley Periodicals, Inc.
| S-EPMC6917845 | biostudies-literature