Computer software for business and specific purposes in wood industry

V 211 slovenskih mikro in majhnih lesnih podjetjih, katerih osnovna dejavnost (po SKD) zajema proizvodnjo pohištva za poslovne prostore, proizvodnjo kuhinjskega pohištva in proizvodnjo drugega pohištva, smo preučili razširjenost ter uporabo poslovnih in namenskih računalniških programov. Raziskava je temeljila na primerjalni analizi in oceni stanja programske opreme. Oceno stanja smo izvedli s pomočjo ankete, ki smo jo distribuirali prek različnih medijev. Odziv na anketo je bil v povprečju 23,7 %. Ocenimo lahko, da so računalniški programi v mikro in majhnih lesnih podjetjih na nekaterih področjih intenzivneje uporabljani kot na drugih. Ugotovili smo, da podjetja v večini uporabljajo pri poslovanju pisarniške programe, predvsem tiste podjetja Microsoft. Uporaba specializirane programske opreme je še precej omejena, saj jo pri poslovanju uporablja le 40 % preučevanih podjetij. Nekoliko bolj uporabljajo programsko opremo namenjeno konstruiranju (60 %).The range and usage of computer software for business and specific purposes were researched in 211 micro and minor wood firms, encompasing the production of office furniture, kitchen furniture and some other furniture as the basic activity, according to Statistical Classification Activities (SCA). The research was based on comparative analysis and software condition evaluation. Evaluation of the current situation was carried out by means of a questionnaire, distributed with the help of media. The response was as high as 23.7 %. It can be estimated that the computer software in these micro and minor wood firms is used more often in some areas than in others. It was found out that the firms use mainly office software- especially Microsoft ones. The usage of specialized software equipment is still quite limited in these firms. Only 40 % of the tested firms use is software for their business, meanwhile the equipment designed for construction is more frequently used (60 %)

Box Plots of Cysteine Levels in Bronchoalveolar Lavage between non-HIV and HIV-infected Subjects.

<p>Box Plots of Cysteine Levels in Bronchoalveolar Lavage between non-HIV and HIV-infected Subjects.</p

Box Plots of Glutathione Levels in Bronchoalveolar Lavage HIV-infected Subjects on and off Anti-retroviral Therapy.

<p>Box Plots of Glutathione Levels in Bronchoalveolar Lavage HIV-infected Subjects on and off Anti-retroviral Therapy.</p

Demographic characteristics of HIV-infected Subjects Enrolled in the Study.

<p>BMI =  Body Mass Index.</p><p>SMAST =  Short Michigan Alcohol Screening Test.</p><p>AUDIT =  Alcohol Use Disorders Identification Test.</p><p>ART =  Anti-retroviral medications.</p

Multiple Linear Regression Model for BAL Cysteine.

<p>P = 0.76.</p><p>Adjusted R² = −0.05.</p

Box Plots of Glutathione Levels in Bronchoalveolar Lavage between non-HIV and HIV-infected Subjects.

<p>Box Plots of Glutathione Levels in Bronchoalveolar Lavage between non-HIV and HIV-infected Subjects.</p

Association of Poor Sleep With Depressive and Anxiety Symptoms by HIV Disease Status: Women's Interagency HIV Study

Background: Sleep disturbances are prevalent in women living with HIV (WLWH) and can affect mental health and overall quality of life. We examined the prevalence and predictors of poor sleep quality in a US cohort of WLWH and HIV-uninfected controls and the relationship between sleep quality and mental health symptom burden stratified by HIV disease status (viremic WLWH, aviremic WLWH, and HIV-uninfected women). Methods: Sleep quality was assessed using the Pittsburgh Sleep Quality Index in 1583 (400 viremic WLWH, 723 aviremic WLWH, and 460 HIV-uninfected women) Women's Interagency HIV Study participants. Depressive and anxiety symptoms were concurrently assessed using the Center for Epidemiological Studies-Depression (CES-D) scale and General Anxiety Disorder (GAD-7) scale. Associations between poor sleep quality (global Pittsburgh Sleep Quality Index >5) and both high depressive (CES-D >= 16) and anxiety (GAD-7 >= 10) symptoms were each assessed by HIV disease status using multivariable logistic regression models. Results: Prevalence of poor sleep quality in the overall sample was 52%, differed by HIV disease status (P = 0.045), and was significantly associated with high depressive and anxiety symptoms in (1) viremic WLWH, (2) aviremic WLWH, and (3) HIV-uninfected women [CES-D: (1) adjusted odds ratio (aOR) = 7.50, 95% confidence interval (CI): 4.10 to 13.7; (2) aOR = 4.54, 95% CI: 3.07 to 6.73; and (3) aOR = 6.03, 95% CI: 3.50 to 10.4; GAD-7: (1) aOR = 5.20; 95% CI: 2.60 to 10.4, (2) aOR = 6.03; 95% CI: 3.67 to 9.91, and (3) aOR = 6.24; 95% CI: 3.11 to 12.6]. Conclusions: Poor sleep quality is highly prevalent, as is mental health symptom burden, among WLWH and HIV-uninfected controls. Future longitudinal studies are necessary to clarify the directionality of the relationship