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1

Liu, Xingye, Xiaohong Chen, Min Bai, and Yangkang Chen. "Time-lapse image registration by high-resolution time-shift scan." GEOPHYSICS 86, no. 3 (2021): M49—M58. http://dx.doi.org/10.1190/geo2020-0459.1.

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Seismic image registration is crucial for the joint interpretation of multivintage seismic images in time-lapse reservoir monitoring. Time-shift analysis is a commonly used method to estimate the warping function by creating a time-shift map, where the energy of each time-shift point in the 3D map indicates the probability of a correct registration. We have adopted a new method to obtain a high-resolution time-shift analysis spectrum, which can help with manual and automatic picking. The time-shift scan map is obtained by trying different local shifts and calculating the local similarity attributes between the shifted and reference images. We adopt a high-resolution calculation of the time-shift scan map by applying the nonstationary model constraint in solving the local similarity attributes. The nonstationary model constraint ensures the time-shift scan map to be smooth in all physical dimensions, for example, time, local shift, and space. In addition, it permits variable smoothing strength across the whole volume, which enables the high resolution of the calculated time-shift scan map. We use an automatic-picking algorithm to demonstrate the accuracy of the high-resolution time-shift scan map and its positive influence on the time-lapse image registration. Synthetic (2D) and real (3D) time-lapse seismic images are used for demonstrating the better registration performance of the proposed method.
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Zabihi Naeini, Ehsan, Henning Hoeber, Gordon Poole, and Hamid R. Siahkoohi. "Simultaneous multivintage time-shift estimation." GEOPHYSICS 74, no. 5 (2009): V109—V121. http://dx.doi.org/10.1190/1.3177002.

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Time-shift estimation is a key step in seismic time-lapse processing as well as in many other signal-processing applications. We consider the time-shift problem in the setting of multiple repeat surveys that must be aligned consistently. We introduce an optimized least-squares method based on the Taylor expansion for estimating two-vintage time shifts and compare it to crosscorrelation. The superiority of the proposed algorithm is demonstrated with synthetic data and residual time-lapse matching on a U. K. continental shelf data set. We then discuss the shortcomings of cascaded time alignment in multiple repeat monitor surveys and propose an approach to estimate simultaneous multivintage time shifts that uses a constrained least-squares technique combined with elements of network theory. The resulting time shifts are consistent across all vintages in a least-squares sense, improving overall alignment when compared to the classical flow of alignment in a cascaded manner. The method surpasses the cascaded approach, as noted with sample synthetic and three-vintage U. K. continental shelf time-lapse data sets.
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GD, Salmun. "Shift Work and Clinical Applications of Time-Restricted Eating." Food Science & Nutrition Technology 5, no. 2 (2022): 1–6. http://dx.doi.org/10.23880/fsnt-16000214.

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Circadian rhythms refer to the oscillations of biological systems in synchrony with the 24-hour light/dark (LD) cycles of the earth. Mammalian circadian rhythms are coordinated by an array of endogenous “clocks” entrained by environmental inputs (zeitgebers), such as sunlight, locomotion, and food intake. Physiological states including energy balance, sleep-wake cycles, body temperature, and hormonal homeostasis, are all tightly regulated by endogenous circadian clocks. The primary controller of circadian rhythms is located centrally in the Suprachiasmatic Nuclei (SCN) of the hypothalamus, which is directly entrained by UV light signals coming from the sun. Peripheral circadian rhythms are directly modulated by behaviors such as locomotion and feeding behavior. A lack of coordination between the LD cycles of earth and behavioral activity results in systemic perturbations, ultimately resulting in metabolic dysfunction. This lack of coordination is likely responsible for the elevated prevalence of metabolic syndrome observed in night-shift workers, due to the misalignment of their activity patterns with the LD cycles of earth. The common trend of night-shift workers adopting a schedule of 3 days on, 4 days off followed by 4 days on, 3 days off may be the biggest driver of their increased risk of developing metabolic dysfunction. By constantly rotating between a nocturnal and diurnal sleeping pattern, their central and peripheral clocks fall into a state of perpetual arrhythmicity. While this type of schedule is provided to maintain social normalcy for the individual, it is detrimental to the functional rhythmicity of their circadian clocks. For this reason, night-shift workers may enact a time-restricted eating protocol in which food intake is restricted to a limited window of time every day. While disruption of the central circadian clock in the SCN is inevitable due to nighttime blue light exposure in these workers, maintaining a highly consistent feeding pattern may attenuate in part the negative consequences of such exposure by restoring rhythmicity in peripheral clocks. This type of feeding strategy may also be exploited by non-night shift workers, as the ubiquity of technology inevitably results in chronic blue light exposure during the intended dark phase of many humans in modern society. In doing so, circadian rhythmicity of key metabolic factors may be restored, thereby optimizing metabolic health and limiting the risk of developing chronic disease.
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4

Humm, Christopher. "A shift in time." Nursing Standard 10, no. 38 (1996): 23–24. http://dx.doi.org/10.7748/ns.10.38.22.s42.

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5

Cullen, Kathleen E., Marko Huterer, Danielle A. Braidwood, and Pierre A. Sylvestre. "Time Course of Vestibuloocular Reflex Suppression During Gaze Shifts." Journal of Neurophysiology 92, no. 6 (2004): 3408–22. http://dx.doi.org/10.1152/jn.01156.2003.

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Although numerous investigations have probed the status of the vestibuloocular (VOR) during gaze shifts, its exact status remains strangely elusive. The goal of the present study was to precisely evaluate the dynamics of VOR suppression immediately before, throughout, and just after gaze shifts. A torque motor was used to apply rapid (100°/s), short-duration (20–30 ms) horizontal head perturbations in three Rhesus monkeys. The status of the VOR elicited by this transient head perturbation was first compared during 15, 40, and 60° gaze shifts. The level of VOR suppression just after gaze-shift onset (40 ms) increased with gaze-shift amplitude in two monkeys, approaching values of 80 and 35%. In contrast, in the third monkey, the VOR was not significantly attenuated for all gaze-shift amplitudes. The time course of VOR attenuation was then studied in greater detail for all three monkeys by imposing the same short-duration head perturbations 40, 100, and 150 ms after the onset of 60° gaze shifts. Overall we found a consistent trend, in which VOR suppression was maximal early in the gaze shift and progressively recovered to reach normal values near gaze-shift end. However, the high variability across subjects prevented establishing a unifying description of the absolute level and time course of VOR suppression during gaze shifts. We propose that differences in behavioral strategies may account, at least in part, for these differences between subjects.
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6

Kawada, Tomoyuki, Takako Shimizu, Atsunaru Fujii, et al. "Activity and sleeping time monitored by an accelerometer in rotating shift workers." WORK: A Journal of Prevention, Assessment & Rehabilitation 30, no. 2 (2008): 157–60. https://doi.org/10.3233/wor-2008-00682.

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Background: The relationship between total sleep time and activity levels during work before or after sleep in two rotating work shifts was compared. Method: Monitoring of activity levels using an activity-detecting device in the wrist was conducted in 17 rotating shift workers, who ranged in age from 34 to 55 years. The work shifts, consisting of a morning shift (6:30 to 15:15 hours) and an evening shift (15:15 to 24:00 hours), were rotated on a weekly basis. Partial correlation coefficient was calculated after controlling for age. Results: The total sleep time after the morning shift was significantly related to the activity count before sleep (r=−0.42) or after sleep (r=−0.36). There was also a significant relationship between total sleep time after the evening shift and the activity count before sleep (r=−0.39) or after sleep (r=−0.32). The mean total sleep time of the subjects for the morning shift was 349 minutes, which was significantly lower than that after the evening shift (382 minutes). In addition, the activity count during the morning shift was significantly higher than that during the evening shift. Conclusions: The negative relationship between sleep time and activity before or after sleep became clear in shift workers.
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7

Werner, Mirco, Vincent Schüßler, and Carsten Dachsbacher. "ReSTIR Subsurface Scattering for Real-Time Path Tracing." Proceedings of the ACM on Computer Graphics and Interactive Techniques 7, no. 3 (2024): 1–19. http://dx.doi.org/10.1145/3675372.

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Subsurface scattering is an important visual cue and in real-time rendering it is often approximated using screen-space algorithms. Path tracing with the diffusion approximation can easily overcome the limitations of these algorithms, but increases image noise. We improve its efficiency by applying reservoir-based spatiotemporal importance resampling (ReSTIR) to subsurface light transport paths. For this, we adopt BSSRDF importance sampling for generating candidates. Further, spatiotemporal reuse requires shifting paths between domains. We observe that different image regions benefit most from either reconnecting through the translucent object (reconnection shift), or one vertex later (delayed reconnection shift). We first introduce a local subsurface scattering specific criterion for a hybrid shift that deterministically selects one of the two shifts for a path. Due to the locality, it cannot always choose the most efficient shift, e.g. near shadow boundaries. Therefore, we additionally propose a novel sequential shift to combine multiple shift mappings: We execute subsequent resampling passes, each one using a different shift, which does not require to deterministically choose a shift for a path. Instead, resampling can pick the most successful shift implicitly. Our method achieves realtime performance and significantly reduces noise and denoising artifacts in regions with visible subsurface scattering compared to standard path tracing with equal render time.
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8

Zuraida, Rida. "Tingkat Kelelahan Pengemudi Bus Rapid Transport (BRT) Jakarta Berdasarkan Swedish Occupational Fatigue Index (SOFI)." ComTech: Computer, Mathematics and Engineering Applications 6, no. 2 (2015): 229. http://dx.doi.org/10.21512/comtech.v6i2.2267.

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Fatigue is a common situation experienced by everyone, but until now a simple measuring tools universally accepted is not exist. Fatigue measurement instrument most widely used is an instrument-based questionnaire. This study used the Swedish Occupational Fatigue Index (SOFI) as one of the instrument to measure BRT driver’s fatigue. The aim is to evaluate physical mental, and shift work fatigue and provide an overview of fatigue levels experienced by the driver BRT on two different shifts. Hopefully it can be used for driver fatigue management by a company. The study was conducted for two different shifts (morning and afternoon), with a total participants are 30 drivers. Results showed that motivation level of shift 2-driver is lower after they finish their work compared to shift1-driver. In shift 1, generally available time to rest,socializing and hanging out with family is longer than available time for shift 2-driver. Perception of loss of energy after work is also higher in shift 2 compared to shift 1, especially the perception of feeling exhausted. Similar results were obtained in the physical aspect and the physical exertion and physical discomfort. Therefore we can conclude the work shift has affected fatigue level experienced by the driver's BRT, and shift rotation is suggested to help the driver to recuperate.
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9

Dabia, Said, Stefan Ropke, and Tom van Woensel. "Cover Inequalities for a Vehicle Routing Problem with Time Windows and Shifts." Transportation Science 53, no. 5 (2019): 1354–71. http://dx.doi.org/10.1287/trsc.2018.0885.

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This paper introduces the vehicle routing problem with time windows and shifts (VRPTWS). At the depot, several shifts with nonoverlapping operating periods are available to load the planned trucks. Each shift has a limited loading capacity. We solve the VRPTWS exactly by a branch-and-cut-and-price algorithm. The master problem is a set partitioning with an additional constraint for every shift. Each constraint requires the total quantity loaded in a shift to be less than its loading capacity. For every shift, a pricing subproblem is solved by a label-setting algorithm. Shift capacity constraints define knapsack inequalities; hence we use valid inequalities inspired from knapsack inequalities to strengthen the linear programming relaxation of the master problem when solved by column generation. In particular, we use a family of tailored robust cover inequalities and a family of new nonrobust cover inequalities. Numerical results show that nonrobust cover inequalities significantly improve the algorithm.
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JOHNSTON, Karen. "New Public Service Bargain: Time for Paradigm Shift in Turbulent Times?" Transylvanian Review of Administrative Sciences, SI (December 20, 2023): 85–100. http://dx.doi.org/10.24193/tras.si2023.5.

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Europe and North America are facing demographic changes with an aging population and declining birth rates. This has implications for the labor market and the workforce of the future. An existential crisis for public institutions is that the public sector is no longer the employer of choice. The public sector is already facing challenges in recruitment, filling vacancies with competent and talented personnel, and retaining public servants. The paradigm shifts in the state from public administration to new public management and new public governance in part underlies this declining interest in public service with the introduction of neo-liberal public sector reforms over the decades, downsizing of the state, relatively lower pay, and various austerity measures. The article revisits these paradigm shifts of the state, providing a review and discussing the impact of these shifts. Furthermore, the article argues for a new paradigm shift. A New Public Service Bargain, which recognizes and values public service because it is the human resource capacity of the state that is key to addressing crises, wicked policy problems and turbulent times.
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Rupani, Hitasha. "Time for a Paradigm Shift." Chest 159, no. 2 (2021): 459–61. http://dx.doi.org/10.1016/j.chest.2020.10.062.

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Srinivasan, Shrikanth. "A Shift in Time Saves ……" Indian Journal of Critical Care Medicine 23, no. 3 (2019): 109–10. http://dx.doi.org/10.5005/jp-journals-10071-23129.

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13

Farinotti, Sébastien. "Real-time phase shift schlieren." Optical Engineering 44, no. 8 (2005): 083603. http://dx.doi.org/10.1117/1.2032307.

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14

Frassinetti, Francesca, Barbara Magnani, and Massimiliano Oliveri. "Prismatic Lenses Shift Time Perception." Psychological Science 20, no. 8 (2009): 949–54. http://dx.doi.org/10.1111/j.1467-9280.2009.02390.x.

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Previous studies have demonstrated the involvement of spatial codes in the representation of time and numbers. We took advantage of a well-known spatial modulation (prismatic adaptation) to test the hypothesis that the representation of time is spatially oriented from left to right, with smaller time intervals being represented to the left of larger time intervals. Healthy subjects performed a time-reproduction task and a time-bisection task, before and after leftward and rightward prismatic adaptation. Results showed that prismatic adaptation inducing a rightward orientation of spatial attention produced an overestimation of time intervals, whereas prismatic adaptation inducing a leftward shift of spatial attention produced an underestimation of time intervals. These findings not only confirm that temporal intervals are represented as horizontally arranged in space, but also reveal that spatial modulation of time processing most likely occurs via cuing of spatial attention, and that spatial attention can influence the spatial coding of quantity in different dimensions.
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15

Leus, G., W. Zhao, G. B. Giannakis, and H. Delic. "Space–Time Frequency-Shift Keying." IEEE Transactions on Communications 52, no. 3 (2004): 346–49. http://dx.doi.org/10.1109/tcomm.2004.823647.

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16

Brassard, Gilles. "Time for another paradigm shift." ACM Computing Surveys 27, no. 1 (1995): 19–21. http://dx.doi.org/10.1145/214037.214044.

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17

de Cheveigné, Alain. "Time-shift denoising source separation." Journal of Neuroscience Methods 189, no. 1 (2010): 113–20. http://dx.doi.org/10.1016/j.jneumeth.2010.03.002.

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18

Minarik, Pamela. "NIGHT SHIFT AS NAP TIME." AJN, American Journal of Nursing 108, no. 7 (2008): 13. http://dx.doi.org/10.1097/01.naj.0000325793.84111.0e.

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Anueyiagu, Chika Onyekaonwu. "NIGHT SHIFT AS NAP TIME." AJN, American Journal of Nursing 108, no. 7 (2008): 13–14. http://dx.doi.org/10.1097/01.naj.0000325794.91734.a9.

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20

Collett, Howard M. "It's Time To Shift Gears." Hospital Aviation 6, no. 12 (1987): 3. http://dx.doi.org/10.1016/s0740-8315(87)80083-9.

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21

Thorisson, Hermann. "Shift-coupling in continuous time." Probability Theory and Related Fields 99, no. 4 (1994): 477–83. http://dx.doi.org/10.1007/bf01206228.

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22

Peacock, Brian. "Time for Bed: Shift Work." Ergonomics in Design: The Quarterly of Human Factors Applications 17, no. 3 (2009): 6–26. http://dx.doi.org/10.1518/106480409x12487282100454.

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23

Zigmont, Jason J. "One Shift at a Time." JEMS: Journal of Emergency Medical Services 34, no. 1 (2009): 26. https://doi.org/10.1016/s0197-2510(09)70011-7.

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Han, Hyun-Woo, Jung-Su Han, Woo-Jin Chung, Ji-Tae Kim, and Young-Jun Park. "Prediction of Synchronization Time for Tractor Power-Shift Transmission Using Multi-Body Dynamic Simulation." Transactions of the ASABE 64, no. 5 (2021): 1483–98. http://dx.doi.org/10.13031/trans.14233.

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HighlightsPrediction of synchronization time was performed for a power-shift transmission.We derived an analytical equation for synchronization time and developed a multi-body dynamics model.Model results were compared with results of a power-shift test on a synchronizer.Reduced computation and design time was achieved for automatic transmission design.Abstract. Synchronization time determines the capacity of a shift actuator for an automatic transmission system. Existing approaches for measuring this time only consider one rotational inertia and therefore cannot be applied to the power-shift transmission (PST) of a tractor with wet multi-plate clutches on both sides of the synchronizer. This study aims to predict the PST synchronization time by considering time-varying axial forces as first-order functions and the equivalent rotational inertias of the hub and the gear. First, we derive an analytical equation for the synchronization time. We then develop a multi-body dynamics (MBD) model that includes the drag torque of the wet multi-plate clutches. The MBD model is composed of a synchronizer, a linkage, and an output shaft of a shift actuator as a rigid-body system. A power-shift test was performed on the synchronizer at two shift stages requiring the maximum shift force of the system. The torque of the shift actuator (the input of the shift system) and the angular displacement of the output shaft of the shift actuator (the output of the shift system) were measured. The results of the simulation model were then compared with those of the shift test. Compared with the test results, the simulation results were validated within 7.63% accuracy, based on the maximum value for the torque of the shift actuator. The proposed equation was validated within a maximum error range of 8.25%. The proposed equation did not consider drag torque of the wet multi-plate clutches because that torque is much smaller than the cone torque of the synchronizer in the target shift system. The proposed equation can reduce computation time and will enable more precise sizing of the synchronizer and shift actuator in the early design stages of automatic transmissions. Keywords: Multi-body dynamics, Power-shift transmission, Synchronization time, Synchronizer, Tractor transmission.
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Prasetya, Fikki, Amalya Febriyani Siji, and Al Asyary Al Asyary. "Fatigue Through Sleep Time On Night Service Nurses At Kendari City Hospital." Al-Sihah: The Public Health Science Journal 13, no. 1 (2021): 61. http://dx.doi.org/10.24252/al-sihah.v13i1.21538.

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Sleep time is the sleep time needed by nurses as a fulfillment before doing the night shift and sleeping time during the night shift to optimize work productivity to minimize work fatigue. This study aims to determine the relationship between nurses' slept time before and during shifts, slept debt, and shift rotation with fatigue on night shift nurses in the Critical Room of the Kendari City General Hospital in 2020. An analytical survey was conducted with a cross-sectional study. The results showed that there was no relationship between sleep time before the night shift and work fatigue on the night watch nurse (p-value = 0.309), in contrast to sleep time during the night shift, it was found that there was a relationship with work fatigue on the night watch nurse (p-value = 0.003 ). It is recommended that hospital management make standard operating procedures that aim to regulate nurses' sleep time during the night shift to meet their needs and reduce fatigue levels.
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Muhammad, Djuneydi, Setio Prabowo Yudi, and Oka Mahendra M. "Selection of Alternative Working Methods using the Crashing and Microsoft Project Methods." International Journal of Engineering and Advanced Technology (IJEAT) 12, no. 5 (2023): 127–39. https://doi.org/10.35940/ijeat.E4130.0612523.

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<strong>Abstract: </strong>In carrying out the PPLP Banten Building construction project, it experienced delays. The causes of delays are the addition of time, changes in shop drawings and material delays. Then the solution in theMicrosoft project is an alternative crashing method of 4 hours of overtime and work shifts. The research results obtained 18 jobs that are on the critical path of 43 jobs. The normal total duration is 942 days and the normal fee is Rp. 569.100.000 using AHSP. The results obtained are the total duration of the alternative crashing 4 hours of overtime work is 678 days, while the work shift is 530 days, the AHSP Project produces an alternative total cost of 4 hours overtime of Rp. 3.066.675.000 and work shifts with accident costs of Rp. 1.223.565.000. The alternative cost of 4 hours of overtime using the AHSP project is Rp. 193.067.245,23 and work shifts using the AHSP project of Rp. 33.638.199,58 then the work shift alternative is more economical and was chosen to be applied to the project. The results of the comparison of direct and indirect costs for the 4-hour overtime alternative are direct costs Rp. 9.672.161.032,2 indirect costs Rp. 1.322.728.805,77 and direct costs for work shift alternatives Rp.9.512.731.986,58 costs Rp. 1.273.456.116,78 then the work shift alternative is more economical and is chosen to be applied to the project.
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Saikkonen, Pentti, and Helmut Lütkepohl. "TESTING FOR A UNIT ROOT IN A TIME SERIES WITH A LEVEL SHIFT AT UNKNOWN TIME." Econometric Theory 18, no. 2 (2002): 313–48. http://dx.doi.org/10.1017/s0266466602182053.

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Unit root tests for time series with level shifts of general form are considered when the timing of the shift is unknown. It is proposed to estimate the nuisance parameters of the data generation process including the shift date in a first step and apply standard unit root tests to the residuals. The estimation of the nuisance parameters is done in such a way that the unit root tests on the residuals have the same limiting distributions as for the case of a known break date. Simulations are performed to investigate the small sample properties of the tests, and empirical examples are discussed to illustrate the procedure.
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Patterson, Paul D., Sarah E. Martin, Sean A. MacAllister, Matthew D. Weaver, and Charity G. Patterson. "Variations in Sleep, Fatigue, and Difficulty with Concentration Among Emergency Medical Services Clinicians During Shifts of Different Durations." International Journal of Environmental Research and Public Health 22, no. 4 (2025): 573. https://doi.org/10.3390/ijerph22040573.

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We sought to characterize momentary changes in fatigue, sleepiness, and difficulty with concentration during short and long duration shifts worked by emergency medical services (EMS) and fire personnel across the United States. In addition, we tested for differences in pre-shift and on-shift sleep stratified by shift duration. We examined real-time mobile-phone text message queries during scheduled shifts from the EMS Sleep Health Study, a nationwide, cluster-randomized trial (ClinicalTrials.gov Identifier: NCT04218279). Linear mixed effects models were used and Bonferroni p-values reported for multiple comparisons. In total, 388 EMS clinicians from 35 EMS/fire agencies documented 4573 shifts and responded to 64.6% of 161,888 text message queries. Most shifts (85.5%) were 12 or 24 h in duration. Mean sleep hours pre-shift was 6.2 (SD1.9) and mean sleep hours on shift was 3.4 (SD2.9) and varied by shift duration (p &lt; 0.0001). The highest level of fatigue, sleepiness, and difficulty with concentration during any shift occurred during 24 h shifts and corresponded to the early morning hours at 03:00 or 04:00 a.m. The real-time assessments of sleep hours and fatigue in this study revealed deficits in sleep health for EMS and fire personnel and critical time points for intervention during shifts when the risk to safety is high.
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Rodionov, Sergei, and James E. Overland. "Application of a sequential regime shift detection method to the Bering Sea ecosystem." ICES Journal of Marine Science 62, no. 3 (2005): 328–32. http://dx.doi.org/10.1016/j.icesjms.2005.01.013.

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Abstract A common problem of existing methods for regime shift detection is their poor performance at the ends of time-series. Consequently, shifts in environmental and biological indices are usually detected long after their actual appearance. A recently introduced method based on sequential t-test analysis of regime shifts (STARS) treats all incoming data in real time, signals the possibility of a regime shift as soon as possible, then monitors how perception of the magnitude of the shift changes over time. Results of a STARS application to the eastern Bering Sea ecosystem show how the 1989 and 1998 regime shifts manifest themselves in biotic and abiotic indices in comparison with the 1977 shift.
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HELMAN, Joanna, and Paweł STEFANIAK. "SHIFT MINING FOREMAN’S WORKING TIME ANALYSIS." Scientific Journal of the Military University of Land Forces 165, no. 3 (2012): 347–57. http://dx.doi.org/10.5604/01.3001.0002.3513.

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This paper presents an analysis of a shift foreman’s working processes at the mining division. Based on four days of observations, the working process was divided into five groups of activities (work preparation, transportation to/from work, administration, communication, work in the area of extraction), and then various processes were analysed. In addition, a simplified flow-diagram of working activities was created. The summary of working time was prepared, including different shifts and time frameworks (preparation for work, transportation to a workplace, administrative work at an underground mining office, work in the area of operation, another administrative work at an underground mining office, transportation from a workplace to the surface, administrative work at a mining office). The analysis of four groups of activities (communication was credited to administrative activities) shows that 51% of the time foreman spends on administrative tasks (mainly completing and analysing documents). To the work in the area of operation a foreman devotes 27% of time, to transportation to/from work 17%, and 4% to the preparation for work. Based on the research, Pareto analysis was developed. The Pareto diagram shows that the most important step that brings tangible benefits in terms of mining occupies 30%, but is affected by 70% of the activities performed. An additional document analysis shows that a foreman fills in 11 different documents, where some information is repeated. The list of all the documents filled in by a foreman was made. Also, the frequency of filling in/analysing documents was determined.
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Yurkovich, Eleanor, and Tish Smyer. "Shift Report: A Time for Learning." Journal of Nursing Education 37, no. 9 (1998): 401–3. http://dx.doi.org/10.3928/0148-4834-19981201-07.

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Davis, Nick. "Double time for the night shift." Nursing Standard 14, no. 25 (2000): 28. http://dx.doi.org/10.7748/ns.14.25.28.s42.

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Papiris, Spyros A., Panagiotis Tsirigotis, Likurgos Kolilekas, et al. "Pulmonary alveolar proteinosis: time to shift?" Expert Review of Respiratory Medicine 9, no. 3 (2015): 337–49. http://dx.doi.org/10.1586/17476348.2015.1035259.

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WHARTON, CAROL S. "FINDING TIME FOR THE “SECOND SHIFT”:." Gender & Society 8, no. 2 (1994): 189–205. http://dx.doi.org/10.1177/089124394008002004.

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Elfadil, Husam, Mehdi Maleki, Nader Behdad, and Hamid Reza Bahrami. "Trellis-Coded Space–Time Shift Keying." IEEE Transactions on Communications 66, no. 12 (2018): 5888–901. http://dx.doi.org/10.1109/tcomm.2018.2865925.

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Wang, Da-Wei, Zheng-Hong Li, Li-Gang Wang, Shi-Yao Zhu, and M. Suhail Zubairy. "Time evolution of the Lamb shift." Optics Letters 35, no. 17 (2010): 2861. http://dx.doi.org/10.1364/ol.35.002861.

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De Cheveigne, Alain. "Time‐Shift Sensor Noise Suppression Algorithm." Journal of the Acoustical Society of America 123, no. 5 (2008): 3232. http://dx.doi.org/10.1121/1.2933463.

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Cubitt, S. "Time Shift: Reflections on Video Viewing." Screen 29, no. 2 (1988): 74–81. http://dx.doi.org/10.1093/screen/29.2.74.

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Durrheim, D. N., and J. L. Goodson. "Time for an immunisation paradigm shift." Transactions of The Royal Society of Tropical Medicine and Hygiene 111, no. 2 (2017): 41–42. http://dx.doi.org/10.1093/trstmh/trx018.

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Ren, Tian, Yong Guan, Erry Gunawan, and Er Zhang. "Shift-orthogonal space-time block codes." IEEE Transactions on Communications 58, no. 6 (2010): 1605–9. http://dx.doi.org/10.1109/tcomm.2010.06.090054.

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Levan, N., and C. S. Kubrusly. "A wavelet “time-shift-detail” decomposition." Mathematics and Computers in Simulation 63, no. 2 (2003): 73–78. http://dx.doi.org/10.1016/s0378-4754(03)00037-5.

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Giesecke, Marianne, Sergey V. Dvinskikh, and István Furó. "Constant-time chemical-shift selective imaging." Journal of Magnetic Resonance 226 (January 2013): 19–21. http://dx.doi.org/10.1016/j.jmr.2012.10.014.

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Salomon, Bonnie, and Joseph F. Waeckerle. "Time for a “Change of Shift”." Annals of Emergency Medicine 22, no. 1 (1993): 136–37. http://dx.doi.org/10.1016/s0196-0644(05)80269-0.

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de Cheveigné, Alain, and Jonathan Z. Simon. "Denoising based on time-shift PCA." Journal of Neuroscience Methods 165, no. 2 (2007): 297–305. http://dx.doi.org/10.1016/j.jneumeth.2007.06.003.

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Xu, Chao, Tong Bai, Jiankang Zhang, et al. "Constant-Envelope Space-Time Shift Keying." IEEE Journal of Selected Topics in Signal Processing 13, no. 6 (2019): 1387–402. http://dx.doi.org/10.1109/jstsp.2019.2922587.

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Dieppe, Paul. "Osteoarthritis: time to shift the paradigm." BMJ 318, no. 7194 (1999): 1299–300. http://dx.doi.org/10.1136/bmj.318.7194.1299.

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Safrani, Avner, and Ibrahim Abdulhalim. "Real-time phase shift interference microscopy." Optics Letters 39, no. 17 (2014): 5220. http://dx.doi.org/10.1364/ol.39.005220.

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Smith, R. "Authorship: time for a paradigm shift?" BMJ 314, no. 7086 (1997): 992. http://dx.doi.org/10.1136/bmj.314.7086.992.

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Olkkonen, J. T., and H. Olkkonen. "Fractional Time-Shift B-Spline Filter." IEEE Signal Processing Letters 14, no. 10 (2007): 688–91. http://dx.doi.org/10.1109/lsp.2007.896402.

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Ahmed, Sofia B., and Lorian Hardcastle. "Menopause: Time for a Paradigm Shift." Mayo Clinic Proceedings 98, no. 6 (2023): 818–20. http://dx.doi.org/10.1016/j.mayocp.2023.04.014.

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