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Advancements in data analysis for the work-sampling method
Borut Buchmeister, Nataša Vujica-Herzog, 2024, izvirni znanstveni članek

Opis: The work-sampling method makes it possible to gain valuable insights into what is happening in production systems. Work sampling is a process used to estimate the proportion of shift time that workers (or machines) spend on different activities (within productive work or losses). It is estimated based on enough random observations of activities over a selected period. When workplace operations do not have short cycle times or high repetition rates, the use of such a statistical technique is necessary because the labor sampling data can provide information that can be used to set standards. The work-sampling procedure is well standardized, but additional contributions are possible when evaluating the observations. In this paper, we present our contribution to improving the decision-making process based on work-sampling data. We introduce a correlation comparison of the measured hourly shares of all activities in pairs to check whether there are mutual connections or to uncover hidden connections between activities. The results allow for easier decision-making (conclusions) regarding the influence of the selected activities on the triggering of the others. With the additional calculation method, we can uncover behavioral patterns that would have been overlooked with the basic method. This leads to improved efficiency and productivity of the production system.
Ključne besede: work sampling, observations, analysis, proportions, correlations, interdependence between activities
Objavljeno v DKUM: 09.05.2024; Ogledov: 63; Prenosov: 5
.pdf Celotno besedilo (2,19 MB)
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Role of human papillomavirus self-sampling in cervical cancer screening
Teodora Bokan, Iztok Takač, Alenka Repše-Fokter, Urška Ivanuš, Tine Jerman, Darja Arko, 2020, pregledni znanstveni članek

Ključne besede: self-sampling, Pap smear, screening
Objavljeno v DKUM: 23.01.2023; Ogledov: 461; Prenosov: 35
.pdf Celotno besedilo (101,64 KB)
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Mitigating the conflict between pitfall-trap sampling and conservation of terrestrial subterranean communities in caves
Peter Kozel, Tanja Pipan, Nina Šajna, Slavko Polak, Tone Novak, 2017, izvirni znanstveni članek

Opis: Subterranean habitats are known for their rich endemic fauna and high vulnerability to disturbance. Many methods and techniques are used to sample the biodiversity of terrestrial invertebrate fauna in caves, among which pitfall trapping remains one of the most frequently used and effective ones. However, this method has turned out to be harmful to subterranean communities if applied inappropriately. Traditionally, pitfall traps have been placed in caves solely on the ground. Here we present an optimized technique of pitfall trapping to achieve a balance between sampling completeness and minimal disturbance of the fauna in the cave. Monthly we placed traps for two days in two parallel sets, a ground trap and an upper one−just below the ceiling−along the cave. In the upper set, about 10% additional species were recorded compared to the ground set. Greater species diversity in the cave was the consequence of both the increased sampling effort and the amplified heterogeneity of sampled microhabitats. In caves sampled by traditional pitfall trapping, overlooked species may be a consequence of methodological biases, leading to lower biodiversity estimates. In our research, incidence-based estimations mostly surpassed abundance-based ones and predicted 95% coverage of the species richness within about two years of sampling. The sampling used contributes at the same time to both the more effective and less invasive inventory of the subterranean fauna. Thus, it may serve as an optional sampling to achieve optimal balance between required data for biodiversity and ecological studies, and nature conservation goals.
Ključne besede: biodiversity estimators, microhabitats, sampling effort, sampling techniques, biological inventories
Objavljeno v DKUM: 30.10.2017; Ogledov: 1269; Prenosov: 385
.pdf Celotno besedilo (2,53 MB)
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