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2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saira Hanif Soroya ◽  
Tehmina Sarwar ◽  
Muhammad Shahid Soroya

PurposeJob performance (JP) of employees is a key indicator of success for any organization; however, job performance is dependent on many factors including personal and organizational. The current study aims to investigate this phenomenon concerning the quality of work-life (QoWL).Design/methodology/approachThe study design was quantitative, and a questionnaire was filled by 130 professional librarians based on a convenient sampling technique. The research population was academic information professionals (IPs) serving the university libraries of Lahore, Pakistan. Data were analyzed using SPSS (20.0).FindingsJob career satisfaction is proved a key indicator of JP along with job control and general well-being (GWB). Counterproductive work behavior (CWB), which is a negative behavior, is significantly affected by poor job satisfaction (JS), stress, feelings of unhappiness and low workplace autonomy.Practical implicationsThe study suggests that if poor JS, stress, feelings of unhappiness and low workplace autonomy could be manipulated positively, CWB may be reduced and there are chances to improve the JP of IPs.Originality/valueThis is one of the first attempts that focuses on QoWL and its impact on JP of IPs. The study findings may help leaders and library administration to take employees' friendly decisions to provide a conducive work environment.


NeoBiota ◽  
2022 ◽  
Vol 71 ◽  
pp. 51-69
Author(s):  
Andrew P. Robinson ◽  
Mark R. McNeill

Between-country tourism is established as a facilitator of the spread of invasive alien species; however, little attention has been paid to the question of whether tourism contributes to the arrival and subsequent dispersal of exotic organisms within national borders. To assess the strength of evidence that tourism is a driver for the accidental introducing and dispersal of exotic organisms, we sourced three national databases covering the years 2011 to 2017, namely international and domestic hotel guest nights and national population counts, along with records of exotic organism detections collected by the Ministry for Primary Industries, New Zealand’s government agency that oversees biosecurity. We fitted statistical models to assess the strength of the relationship between monthly exotic organism interception rate, guest nights and population, the latter as a baseline. The analysis showed that levels of incursion detection were significantly related to tourism records reflecting the travel of both international and domestic tourists, even when population was taken into account. There was also a significant positive statistical correlation between the levels of detection of exotic organisms and human population. The core take-home message is that a key indicator of within-country human population movement, namely the number of nights duration spent in specific accommodation, is statistically significantly correlated to the contemporaneous detection of exotic pests. We were unable to distinguish between the effects of international as opposed to domestic tourists. We conclude that this study provides evidence of impact of within-country movement upon the internal spread of exotic species, although important caveats need to be considered.


2022 ◽  
Vol 12 ◽  
Author(s):  
Mengjing Cui ◽  
Qianqian Xia ◽  
Xing Zhang ◽  
Wenjing Yan ◽  
Dan Meng ◽  
...  

Ovarian cancer (OC), one of the most common malignancies of the female reproductive system, is characterized by high incidence and poor prognosis. Tumor mutation burden (TMB), as an important biomarker that can represent the degree of tumor mutation, is emerging as a key indicator for predicting the efficacy of tumor immunotherapy. In our study, the gene expression profiles of OC were downloaded from TCGA and GEO databases. Subsequently, we analyzed the prognostic value of TMB in OC and found that a higher TMB score was significantly associated with a better prognosis (p = 0.004). According to the median score of TMB, 9 key TMB related immune prognostic genes were selected by LASSO regression for constructing a TMB associated immune risk score (TMB-IRS) signature, which can effectively predict the prognosis of OC patients (HR = 2.32, 95% CI = 1.68–3.32; AUC = 0.754). Interestingly, TMB-IRS is also closely related to the level of immune cell infiltration and immune checkpoint molecules (PD1, PD-L1, CTLA4, PD-L2) in OC. Furthermore, the nomogram combined with TMB-IRS and a variety of clinicopathological features can more comprehensively evaluate the prognosis of patients. In conclusion, we explored the relationship between TMB and prognosis and validated the TMB-IRS signature based on TMB score in an independent database (HR = 1.60, 95% CI = 1.13–2.27; AUC = 0.639), which may serve as a novel biomarker for predicting OC prognosis as well as possible therapeutic targets.


2022 ◽  
Vol 14 (2) ◽  
pp. 738
Author(s):  
Branislava Stoiljković

Relations among neighbors are a key indicator of the strength of a local social community, contribute to social cohesion and are an important factor in achieving a higher level of social sustainability. On the other hand, the environment in which people live plays an important role in encouraging social contacts and developing relationships between people. In order to establish social interactions between neighbors within a multifamily apartment building (MFAB), it is necessary to provide adequate spaces for communication between residents. This was especially emphasized during the mobility restrictions caused by COVID-19, although this necessity is permanent. This paper analyzes the influence of the physical characteristics of common spaces in MFABs on the quality and intensity of contacts among residents of MFABs in the City of Niš, Serbia. In order to determine the current quality of these spaces as a physical framework for interactions among residents and to identify the wishes of users regarding interactions with neighbors in these spaces before and during COVID-19 pandemic restrictions, a survey was conducted. The analysis of the survey results and numerous examples of housing design led to (1) the formation of guidelines for future designs of MFABs and (2) recommendations for redefining the standards regulating the field of housing construction in the region, both applicable during the period of the pandemic and after it.


Author(s):  
Simon Taugourdeau ◽  
Antoine Diedhiou ◽  
Marina Bossoukpe ◽  
Cofélas Fassinou ◽  
Ousmane Diatta ◽  
...  

1.Herbaceous aboveground biomass (HAB) is a key indicator of grassland vegetation and indirect estimation tools, such as remote sensing imagery, increase the potential for covering larger areas in a timely and cost-efficient way. Structure from motion (SfM) is an image analysis process that can create a 3D model from a set of images. 2: Computed from UAV and ground camera measurements, the SfM potential to estimate the herbaceous aboveground biomass in Sahelian rangelands was tested in this study. Both UAV and ground camera recordings were used at three different scales: temporal, landscape and national (across Senegal). All images were processed using PIX4D software and were used to extract vegetation indices and heights. 3: A random forest algorithm was used to estimate the HAB and the average estimation errors were around 150 g.m-² for fresh mass (20% relative error) and 60 g.m-² for dry mass (around 25% error). A comparison between different datasets revealed that the estimates based on camera data were slightly more accurate than those from UAV data. 4:It was also found that combining datasets across scales for the same type of tool (UAV or camera) could be a useful option for monitoring HAB in Sahelian rangelands or in other grassy ecosystem.


2021 ◽  
Author(s):  
Christina Bohk-Ewald ◽  
Enrique Acosta ◽  
Tim Riffe ◽  
Christian Dudel ◽  
Mikko Myrskyla

How deadly is an infection with SARS-CoV-2 worldwide over time? This information is critical for developing and assessing public health responses on the country and global levels. However, imperfect data have been the most limiting factor for estimating the COVID-19 infection fatality burden during the first year of the pandemic. Here we leverage recently emerged compelling data sources and broadly applicable modeling strategies to estimate the crude infection fatality rate (cIFR) in 77 countries from 28 March 2020 to 31 March 2021, using 2.4 million reported deaths and estimated 435 million infections by age, sex, country, and date. The global average of all cIFR estimates is 1.2% (10th to 90th percentile: 0.2% to 2.4%). The cIFR varies strongly across countries, but little within countries over time, and it is often lower for women than men. Cross-country differences in cIFR are largely driven by the age structures of both the general and the truly infected population. While the broad trends and patterns of the cIFR estimates are more robust, we show that their levels are uncertain and sensitive to input data and modeling choices. In consequence, increased efforts at collecting high-quality data are essential for accurately estimating the cIFR, which is a key indicator for better understanding the health and mortality consequences of this pandemic.


Author(s):  
Luis Rosero-Bixby ◽  
Tim Miller

The reproduction number R is a key indicator used to monitor the dynamics of Covid-19 and to assess the effects of infection control strategies that frequently have high social and economic costs. Despite having an analog in demography’s “net reproduction rate” that has been routinely computed for a century, demographers may not be familiar with the concept and measurement of R in the context of Covid-19. This article is intended to be a primer for understanding and estimating R in demography. We show that R can be estimated as a ratio between the numbers of new cases today divided by the weighted average of cases in previous days. We present two alternative derivations for these weights based on how risks have changed over time: constant vs. exponential decay. We then provide estimates of these weights, and demonstrate their use in calculating R to trace the course of the first pandemic year in 53 countries.


First Monday ◽  
2021 ◽  
Author(s):  
Thomas Mueller ◽  
Gregory Perreault

This study explores motivators for mobile app purchase among “Gen Z” consumers. Adjectives that describe the mobile purchase experience were collected from focus group respondents. Factor analysis of the adjectives produced clusters named “Affective,” “Functional” and “Anxiety.” “Anxiety” was the most powerful factor. However, when tested in linear regression “Affective” and “Functional” were unique significant predictors of mobile app purchase intention. Online food delivery brands providing apps, and those that save ordering info, are most highly correlated in the purchase process. Ease of use is associated with a positive online perception. Those ordering personal pan size pizzas were significantly different than those who order small, medium or large pizzas. Diffusion of innovation (DOI) theory suggests complexity is a key indicator in the innovation process. In this study, the diffusion of ordering was heightened by compatibility, those who share common experiences and values in a virtual community. These findings suggest anxiety involved with Internet purchases may be part of the appeal of the application.


2021 ◽  
Vol 118 (50) ◽  
pp. e2105112118
Author(s):  
Luis Alvarez ◽  
Miguel Colom ◽  
Jean-David Morel ◽  
Jean-Michel Morel

The COVID-19 pandemic has undergone frequent and rapid changes in its local and global infection rates, driven by governmental measures or the emergence of new viral variants. The reproduction number Rt indicates the average number of cases generated by an infected person at time t and is a key indicator of the spread of an epidemic. A timely estimation of Rt is a crucial tool to enable governmental organizations to adapt quickly to these changes and assess the consequences of their policies. The EpiEstim method is the most widely accepted method for estimating Rt. But it estimates Rt with a significant temporal delay. Here, we propose a method, EpiInvert, that shows good agreement with EpiEstim, but that provides estimates of Rt several days in advance. We show that Rt can be estimated by inverting the renewal equation linking Rt with the observed incidence curve of new cases, it. Our signal-processing approach to this problem yields both Rt and a restored it corrected for the “weekend effect” by applying a deconvolution and denoising procedure. The implementations of the EpiInvert and EpiEstim methods are fully open source and can be run in real time on every country in the world and every US state.


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