29 research outputs found
Teleworking and information professional
Práce pojednává o pracovnĂ metodÄ› nazĂ˝vanĂ© teleworking a jejĂmu moĹľnĂ©mu uplatnÄ›nĂ v informaÄŤnĂ a knihovnickĂ© oblasti. V prvnĂ kapitole se autor zabĂ˝vá vymezenĂm pojmu teleworking, jeho charakteristikou a definicĂ. Ve druhĂ© kapitole je pojednáno o vzniku, vĂ˝voji a historickĂ©m pozadĂ teleworkingu. Ve tĹ™etĂ kapitole uvedeno, pro kterĂ© knihovnickĂ© pracovnĂ pozice je teleworking vhodnĂ˝ a ÄŤtvrtá kapitola je vÄ›nována moĹľnostem vyuĹľĂvánĂ teleworkingu v informaÄŤnĂm sektoru. Pátá a šestá kapitola pĹ™edstavuje prĹŻzkum vyuĹľitĂ distanÄŤnĂ metody práce v ÄŤeskĂ˝ch, respektive zahraniÄŤnĂch knihovnách, sedmá kapitola prezentuje vĂ˝sledky prĹŻzkumu "VyuĹľĂvánĂ informaÄŤnĂch a komunikaÄŤnĂch technologiĂ v domácnostech a mezi jednotlivci v roce 2006", konkrĂ©tnÄ› kapitoly tĂ˝kajĂcĂ se nasycenĂ ÄŤeskĂ© spoleÄŤnosti vĂ˝poÄŤetnĂ technikou, pĹ™ipojenĂm k internetu a znalostmi práce s nimi. V dalšĂch kapitolách jsou Ĺ™ešeny aspekty teleworkingu tĂ˝kajĂcĂ se zamÄ›stnavatelĹŻ a takĂ© legislativnĂ podchycenĂ tĂ©to metody v ZákonĂku práce. VelkĂ˝ prostor je pak vÄ›nován aspektĹŻm distanÄŤnĂ metody práce ve vztahu k zamÄ›stnancĹŻm - jaká ĂşskalĂ je ÄŤekajĂ pĹ™i práci doma, jak se s nimi vypořádat a naopak jakĂ© benefity práce mimo budovu zamÄ›stnavatele pĹ™inášĂ. PoslednĂ kapitola je vÄ›nována potĹ™ebnĂ©mu technickĂ©mu zázemĂ teleworkingu.Ăšstav informaÄŤnĂch studiĂ a knihovnictvĂInstitute of Information Studies and LibrarianshipFaculty of ArtsFilozofická fakult
Cross-correlations between pre-whitened series and the rodent density.
*<p><i>p</i><0.05,</p>**<p><i>p</i><0.01.</p
Summary of model performance and the estimated coefficients.
<p>Abbreviations: ARIMA = Autoregressive Integrated Moving Average; S = Seasonal; X = with explanatory variables; LST = Land Surface Temperature; AP = Accumulative Precipitation; NDVI = Normalized Difference Vegetation Index; TVDI = Temperature Vegetation Dryness Index; MRPE = Mean Relative Prediction Error; AIC = Akaike’s Information Criterion; AR = Autoregressive coefficients; MA = Moving Average Coefficients; Est = Estimated values through conditional least square method.</p
Observed versus predicted rodent density in Changsha.
<p><b>(a) Temporal dynamics and (b) scatterplot.</b></p
Additional file 5: of Serum microRNA signatures and metabolomics have high diagnostic value in gastric cancer
Table S4. Significantly different metabolites between the gastric cancer patients and the healthy controls. Abbreviations: VIP, variable importance in the projection; MZ, mass-to-charge ratio; RT, retention time. (DOCX 15Ă‚Â kb
Environmental variables in Changsha.
<p><b>(a) monthly average of temperature, (b) monthly accumulated rainfall and (c) monthly NVDI and TVDI for rice paddies.</b></p
Additional file 3: of Serum microRNA signatures and metabolomics have high diagnostic value in gastric cancer
Figure S1. Deeks’ funnel plot for the assessment of publication bias. (DOCX 186 kb
Annual HFRS cases and annual moisture condition, 1991–2010.
<p>(<i>A</i>) Temporal dynamics of annual precipitation and HFRS cases. (<i>B</i>) Scatterplot of annual precipitation and HFRS cases. (<i>C</i>) Temporal dynamics of annual mean AH and HFRS cases. (<i>D</i>) Scatterplot of annual mean AH and HFRS cases. The thick solid straight lines are linear regressions of annual HFRS cases and moisture condition.</p