scholarly journals Factor Intensity, Product Switching, and Productivity: Evidence from Chinese Exporters

2011 ◽  
Author(s):  
Yue Ma ◽  
Heiwai Tang ◽  
Yifan Zhang
Keyword(s):  
Factor Intensity ◽  
Product Switching

Exports, Productivity and Factor Intensity: Evidence for Brazilian Firms

2019 ◽  
Author(s):  
Dieison Lenon Casagrande ◽  
Álvaro Barrantes Hidalgo ◽  
Paulo Ricardo Feistel
Keyword(s):  
Factor Intensity

scholarly journals A 7-month inhalation toxicology study in C57BL/6 mice demonstrates reduced pulmonary inflammation and emphysematous changes following smoking cessation or switching to e-vapor products

2021 ◽  
Vol 5 ◽  
pp. 239784732199587
Author(s):  
Ashutosh Kumar ◽  
Ulrike Kogel ◽  
Marja Talikka ◽  
Celine Merg ◽  
Emmanuel Guedj ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cigarette Smoke ◽  
Pulmonary Inflammation ◽  
Clinical Signs ◽  
Inhalation Study ◽  
Toxicology Study ◽  
Nasal Tissue ◽  
Product Switching ◽  
The Impact

Cigarette smoking causes serious diseases, including lung cancer, atherosclerotic coronary artery disease, peripheral vascular disease, chronic bronchitis, and emphysema. While cessation remains the most effective approach to minimize smoking-related disease, alternative non-combustible tobacco-derived nicotine-containing products may reduce disease risks among those unable or unwilling to quit. E-vapor aerosols typically contain significantly lower levels of smoke-related harmful and potentially harmful constituents; however, health risks of long-term inhalation exposures are unknown. We designed a 7-month inhalation study in C57BL/6 mice to evaluate long-term respiratory toxicity of e-vapor aerosols compared to cigarette smoke and to assess the impact of smoking cessation (Cessation group) or switching to an e-vapor product (Switching group) after 3 months of exposure to 3R4F cigarette smoke (CS). There were no significant changes in in-life observations (body weights, clinical signs) in e-vapor groups compared to the Sham Control. The 3R4F CS group showed reduced respiratory function during exposure and had lower body weight and showed transient signs of distress post-exposure. Following 7 months of exposure, e-vapor aerosols resulted in no or minimal increase in pulmonary inflammation, while exposure to 3R4F CS led to impairment of lung function and caused marked lung inflammation and emphysematous changes. Biological changes observed in the Switching group were similar to the Cessation group. 3R4F CS exposure dysregulated the lung and nasal tissue transcriptome, while these molecular effects were substantially lower in the e-vapor group. Results from this study demonstrate that in comparison with 3R4F CS, e-vapor aerosols induce substantially lower biological responses including pulmonary inflammation and emphysematous changes, and that complete switching from CS to e-vapor products significantly reduces biological changes associated with CS in C57BL/6 mice.

TIME ALLOCATION, TIME VALUE AND FACTOR INTENSITY

1978 ◽  
Vol 17 (30) ◽  
pp. 124-131
Author(s):  
ALLAN C. DeSEPRA ◽  
HILLARD G. HUNTINGTON
Keyword(s):  
Time Allocation ◽  
Factor Intensity ◽  
Time Value

scholarly journals Proteome Integral Stability Alteration assay dramatically increases throughput and sensitivity in profiling factor-induced proteome changes

2018 ◽  
Author(s):  
Massimiliano Gaetani ◽  
Pierre Sabatier ◽  
Amir Ata Saei ◽  
Christian Beusch ◽  
Zhe Yang ◽  
...  
Keyword(s):  
Chemical Biology ◽  
Living Cells ◽  
Parameter Variation ◽  
The Novel ◽  
Factor Intensity ◽  
Unusual Behavior ◽  
Analysis Scheme ◽  
The Stability ◽  
Proteome Changes ◽  
Integral Stability

Various factors, including drugs as well as non-molecular influences, induce alterations in the stability of proteins in cell lysates, living cells and organisms. These alterations can be probed by applying a stability-modifying agent, such as elevated temperature, to a varying degree. As a second dimension of variation, drug concentration or factor intensity can be used. However, the corresponding analysis scheme has a low throughput and high cost. Additionally, since traditional data analysis employs curve fitting, proteins with unusual behavior are frequently ignored. The novel Proteome Integral Stability Alteration (PISA) assay avoids these issues altogether, increasing the analysis throughput by one to two orders of magnitude for unlimited number of parameter variation points. The consumption of the compound and biological material decreases by the same factor. We envision widespread use of the PISA approach in chemical biology and drug development.

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