This study provides and meta-analytically examines an organizing framework and theoretical model of work-family conflict. Results, based on 1080 correlations from 178 samples, indicate that work role ...Stressors (job Stressors, role conflict, role ambiguity, role overload, time demands), work role involvement (job involvement, work interest/centrality), work social support (organizational support, supervisor support, coworker support), work characteristics (task variety, job autonomy, family friendly organization), and personality (internal locus of control, negative affect/neuroticism) are antecedents of work-to-family conflict (WFC); while family role Stressors (family Stressors, role conflict, role ambiguity, role overload, time demands, parental demands, number of children/dependents), family social support (family support, spousal support), family characteristics (family climate), and personality (internal locus of control, negative affect/neuroticism) are antecedents of family-to-work conflict (FWC). In addition to hypothesized results, a revised model based on study findings indicates that work role Stressors (job Stressors, role conflict, role ambiguity, role overload) and work social support (organizational support, supervisor support, coworker support) are predictors of FWC; while family role Stressors (family Stressors, role conflict, role ambiguity, role overload), family involvement (family interest/centrality), family social support (family support, spousal support), and family characteristics (family climate) are predictors of WFC.
Ten state wildlife management agencies in the United States, including six within the Southeast, have delayed their spring wild turkey (Meleagris gallopavo) hunting seasons since 2017 by five or more ...days to address concerns related to the potential effects of hunting on wild turkey seasonal productivity. One hypothesis posits that if the spring hunting season is too early, there may be insufficient time for males to breed hens before being harvested, thus leading to reduced seasonal productivity. We conducted an experiment to determine whether delaying the wild turkey hunting season by 2 weeks in south‐middle Tennessee would affect various reproductive rates. In 2021 and 2022, the Tennessee Fish and Wildlife Commission experimentally delayed the spring hunting season to open 14 days later than the traditional date (the Saturday closest to 1 April) in Giles, Lawrence, and Wayne counties. We monitored reproductive rates from 2017 to 2022 in these three counties as well as two adjacent counties, Bedford and Maury, that were not delayed. We used a Before‐After‐Control‐Impact design to analyze the proportion of hens nesting, clutch size, hatchability, nest success, poult survival and hen survival with linear mixed‐effect models and AIC model selection to detect relationships between the 14‐day delay and reproductive parameters. We detected no relationship (p > .05) between the 14‐day delay and any individual reproductive parameter. In addition, recruitment (hen poults per hen that survived until the next breeding season) was very low (<0.5) and did not increase because of the 14‐day delay. The traditional Tennessee start date had been in place since 1986 while the turkey harvest increased markedly until about 2006 and more recently stabilized. Our data indicate that moving the start of the hunting season from a period just prior to peak nest initiation to 2 weeks later, to coincide with a period just prior to peak nest incubation initiation, resulted in no change to productivity or populations in wild turkey flocks in south‐middle Tennessee.
We assessed how a later spring wild turkey hunting season impacts wild turkey productivity to inform management agency regulation changes. To summarize, wild turkey productivity did not change if you allow the hunting season to open just prior to nest initiation (earlier in the year) or during the onset of nest incubation initiation (later in the year) in Tennessee.
The calibration units of KM3NeT Le Breton, R.; Billault, M.; Boutonnet, C. ...
Journal of instrumentation,
09/2021, Letnik:
16, Številka:
9
Journal Article
Recenzirano
Odprti dostop
KM3NeT is a deep-sea infrastructure composed of two neutrino telescopes being deployed in the Mediterranean Sea: ARCA, near Sicily in Italy, designed for neutrino astronomy, and ORCA, near Toulon in ...France, designed for neutrino oscillation physics. To achieve the best performance, the exact location of the optical modules, affected by sea current, must be known at any time and the timing resolution between optical modules must reach the nanosecond. Moreover, the properties of the environment in which the telescopes are deployed must be continuously monitored because they affect the timing and positioning calibration. KM3NeT is going to deploy several dedicated Calibration Units to meet these calibration goals. Because of the difference in size between ARCA and ORCA, the design of the Calibration Unit is not the same for the two sites. This proceeding describes all the devices, features and purposes of the Calibration Units with a focus on the ORCA Calibration Unit.
The KM3NeT research infrastructure is currently under construction at two locations in the Mediterranean Sea. The KM3NeT/ORCA water-Cherenkov neutrino detector off the French coast will instrument ...several megatons of seawater with photosensors. Its main objective is the determination of the neutrino mass ordering. This work aims at demonstrating the general applicability of deep convolutional neural networks to neutrino telescopes, using simulated datasets for the KM3NeT/ORCA detector as an example. To this end, the networks are employed to achieve reconstruction and classification tasks that constitute an alternative to the analysis pipeline presented for KM3NeT/ORCA in the KM3NeT Letter of Intent. They are used to infer event reconstruction estimates for the energy, the direction, and the interaction point of incident neutrinos. The spatial distribution of Cherenkov light generated by charged particles induced in neutrino interactions is classified as shower- or track-like, and the main background processes associated with the detection of atmospheric neutrinos are recognized. Performance comparisons to machine-learning classification and maximum-likelihood reconstruction algorithms previously developed for KM3NeT/ORCA are provided. It is shown that this application of deep convolutional neural networks to simulated datasets for a large-volume neutrino telescope yields competitive reconstruction results and performance improvements with respect to classical approaches.
KM3NeT is a research infrastructure being installed in the deep Mediterranean Sea. It will house a neutrino telescope comprising hundreds of networked moorings—detection units or strings—equipped ...with optical instrumentation to detect the Cherenkov radiation generated by charged particles from neutrino-induced collisions in its vicinity. In comparison to moorings typically used for oceanography, several key features of the KM3NeT string are different: the instrumentation is contained in transparent and thus unprotected glass spheres; two thin Dyneema\textsuperscript{\textregistered} ropes are used as strength members; and a thin delicate backbone tube with fibre-optics and copper wires for data and power transmission, respectively, runs along the full length of the mooring. Also, compared to other neutrino telescopes such as ANTARES in the Mediterranean Sea and GVD in Lake Baikal, the KM3NeT strings are more slender to minimise the amount of material used for support of the optical sensors. Moreover, the rate of deploying a large number of strings in a period of a few years is unprecedented. For all these reasons, for the installation of the KM3NeT strings, a custom-made, fast deployment method was designed. Despite the length of several hundreds of metres, the slim design of the string allows it to be compacted into a small, re-usable spherical launching vehicle instead of deploying the mooring weight down from a surface vessel. After being lowered to the seafloor, the string unfurls to its full length with the buoyant launching vehicle rolling along the two ropes. The design of the vehicle, the loading with a string, and its underwater self-unrolling are detailed in this paper.
Highlights • We assessed a care transition model for kidney transplant recipients with diabetes. • Results document improved therapeutic goal attainment and quality indicators. • Health care resource ...utilization was reduced. • This care transition model is feasible and associated with improved patient outcome.
KM3NeT is a network of deep-sea neutrino telescopes to be deployed in the Mediterranean Sea that will perform neutrino astronomy and oscillation studies. It consists of three-dimensional arrays of ...thousands of optical modules that detect the Cherenkov light induced by charged particles resulting from the interaction of a neutrino with the surrounding medium. The performance of the neutrino telescope relies on the precise timing and positioning calibration of the detector elements. Other environmental conditions which may affect light and sound transmission, such as water temperature and salinity, must also be continuously monitored. This contribution describes the technical design of the first Calibration Unit, to be deployed on the French site as part of KM3NeT Phase 1.
For use in a broad spectrum of cell culture applications, we have devised a novel method, termed High‐Throughput Metabolic Screening (HTMS), with which to more rapidly screen the overall activity of ...major metabolic pathways of mammalian cells. This current protocol uses adaptations of theoretical and experimental techniques from metabolic and cell culture engineering. First, HTMS makes use of a simplified metabolic network for metabolic flux analysis. Despite its simplicity, the network is capable of generating flux distributions and ATP production rates that are comparable to a more detailed network. Second, HTMS makes use of microtiter well‐plate technology and adaptations of well‐known enzymatic assays to increase precision and throughput for cell culture experiments. Multireplicate, multiparallel cultures in the sub‐milliliter scale yield very precise metabolic rates using common laboratory equipment and at a fraction of the cost and time of traditional experiments with T‐flasks, spinner flasks, or bioreactor systems. The simplicity of the network and the well‐plate assays synergistically comprise a new, extremely useful, broadly applicable, and relatively inexpensive way to probe cell cultures for metabolic effects, screen drugs and toxins, optimize media, and support the development of bioprocesses. The simplified network and cell culture and analytical assays are also useful for undergraduate, graduate, and professional training.
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