Prevention Better Than Treatment? Implementing Evidence-based Strategies

Keyword(s):  
2015 ◽  
Vol 1090 ◽  
pp. 18-21
Author(s):  
Yuan Tao ◽  
Wei Dong Yu

As high polymer materials, textile materials are easily to be carbonized and then disappear, so it is almost impossible to study the origin of it from physical evidence. Based on the objective historical facts, through analysis and inference, the paper believed that textile materials, as soft materials, are better than stone tools in the aspects of obtaining, making, functions and uses. Two hypotheses about the origin of textile materials are proposed. The first is that textile materials originate from tools, and the origin time of it is not later than stone tools. The second is that signs and clothing application of textile materials both evolve from its usage as tools, so the origin sequence of textile materials is tools, signs, and clothing.


2010 ◽  
Vol 18 (2) ◽  
pp. 352-359 ◽  
Author(s):  
James J. Clark ◽  
Ginny Sprang ◽  
Benjamin Freer ◽  
Adrienne Whitt-Woosley
Keyword(s):  

2014 ◽  
Vol 1 (1) ◽  
pp. 122-128 ◽  
Author(s):  
Timothy R. Levine

Actively detecting deception requires (a) gathering information for fact-checking the communication content, (b) strategically prompting deception cues, and (c) encouraging honest admissions and discouraging continued deceit. Most deception-detection research, active or otherwise, finds that people are only slightly better than chance at correctly distinguishing truth from lies. Poor accuracy stems from a lack of reliable deception cues that hold across people and situations. Consequently, basing lie detection on deception cues is prone to error. However, some approaches to active deception detection yield higher accuracy than passive observation. Not all active approaches are advantageous. Mere interaction and mere question-asking produce outcomes similar to passive observation. Evidence-based and confession-solicitation approaches can be highly effective: for example, strategic use of evidence (SUE) and the content in context approach.


2023 ◽  
Vol 83 ◽  
Author(s):  
G. Mustafa ◽  
A. Iqbal ◽  
A. Javid ◽  
A. Hussain ◽  
S. M. Bukhari ◽  
...  

Abstract The medicinal attributes of honey appears to overshadow its importance as a functional food. Consequently, several literatures are rife with ancient uses of honey as complementary and alternative medicine, with relevance to modern day health care, supported by evidence-based clinical data, with little attention given to honey’s nutritional functions. The moisture contents of honey extracted from University of Veterinary and Animal Sciences, Lahore honey bee farm was 12.19% while that of natural source was 9.03 ± 1.63%. Similarly, ash and protein contents of farmed honey recorded were 0.37% and 5.22%, respectively. Whereas ash and protein contents of natural honey were 1.70 ± 1.98% and 6.10 ± 0.79%. Likewise fat, dietary fiber and carbohydrates contents of farmed source documented were 0.14%, 1.99% and 62.26% respectively. Although fat, dietary fiber and carbohydrates contents of honey taken from natural resource were 0.54 ± 0.28%, 2.76 ± 1.07% and 55.32 ± 2.91% respectively. Glucose and fructose contents of honey taken out from honeybee farm were 27% and 34% but natural source were 22.50 ± 2.12% and 28.50 ± 3.54%. Glucose and fructose contents of honey taken out from honeybee farm were 27% and 34% but natural source were 22.50 ± 2.12% and 28.50 ± 3.54%. Similarly, sucrose and maltose contents of farmed honey were 2.5% and 12% while in natural honey were 1.35 ± 0.49% and 8.00 ± 1.41% respectively. The present study indicates that such as moisture, carbohydrates, sucrose and maltose contents were higher farmed honey as compared to the natural honey. In our recommendation natural honey is better than farmed honey.


Nephrology ◽  
2020 ◽  
Vol 25 (10) ◽  
pp. 737-743
Author(s):  
Jizzo R. Bosdriesz ◽  
Vianda S. Stel ◽  
Merel van Diepen ◽  
Yvette Meuleman ◽  
Friedo W. Dekker ◽  
...  

2006 ◽  
Vol 16 (2) ◽  
pp. 159-175 ◽  
Author(s):  
Vicki Bitsika ◽  
Christopher F. Sharpley

AbstractThere have been some challenges to the reliance upon data from randomised controlled clinical trials when identifying ‘evidence-based’ psychotherapy treatments. Similarly, data show that use of treatment manuals does not result in uniform and beneficial outcomes, that some evidence-based treatments are little better than non-specific counselling and that the search for those therapies or components that are effective has been largely fruitless. In an attempt to extend the debate about evidence-based treatments and drawing upon those aspects of cognitive and behavioural therapies that have been shown to be effective in most settings, this article describes valued outcomes analysis and therapy as a means of assisting clients to understand their own behaviour as (sometimes unwanted) adaptations to environmental demands and then to learn alternative ways of achieving the goals they pursue. A case illustration is provided.


2018 ◽  
Vol 10 (5(J)) ◽  
pp. 100-115
Author(s):  
Xueying Zhang ◽  
Shansheng Gao ◽  
Jian Jiao

This study examines corporate bond guarantees by developing a theoretical model that decomposes the overall impact of a guarantee into signalling and incentive effects and presenting empirical evidence based on data from China’s corporate bond market. Our empirical research yields considerable evidence for the effects we posit in the model and provides some important insights into the problems of adverse selection and moral hazard in China’s bond market. The empirical evidence shows that the bond issuer with lower credit rating are more willing to purchase a bond guarantee and guaranteed bonds have a higher issue spread yield than those non-guaranteed bonds, even though both have the same bond credit rating. Our findings suggest that moral hazard would be better than adverse selection to explain the self- selection of bond guarantees. Prior to bond issuance credit rating signal provides a mechanism to mitigate information inequality, while bond guarantees relieve information asymmetry afterwards. 


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