We wish all of you a very Happy Christmas and
a smooth start to the New Year. Wishing you and your family a wonderful holiday
season!
We wish all of you a very Happy Christmas and
a smooth start to the New Year. Wishing you and your family a wonderful holiday
season!
Western Literature on Stupidity Reviewed by James F Welles in Open Access Biostatistics & Bioinformatics
https://crimsonpublishers.com/oabb/abstract/OABB.000544.php
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Stupidity and the Sexes by James F Welles in Open Access Biostatistics & Bioinformatics
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Review on Economics of Teff in Ethiopia by Fikadu, Asmiro Abeje in Open Access Biostatistics & Bioinformatics
Teff is widely cultivated throughout Ethiopia as a staple cereal crop, which appears in everyone’s dishes of everyday life. With a gluten free and high nutrition values; teff could be the next super-grain and Injera could be the next super-food in the globe. Teff productions in terms of cultivated area and number of producers are incredibly increases over the last 14 years. Teff is the second most important cash crop and generating about 500 million USA dollar incomes per year for local farmers. Apart from this, teff producing farmers are highly depending on the behavior of the other teff producing farmers who spatially closed. Moreover, Teff straw is produced in the largest quantities estimating about 6.93% of the total quantity of cereal crop’s straw produced in the country; this helps to address the insufficient animal feed supply for animal production and productivity improvement through enhancing its palatability. The exports of teff in terms of injera in 2015 were estimated at around 10 million US dollar, and the main injera global market outlets were North America, Middle East, and Europe. Among several teff production constraints, technical inefficiency has a leading one. Due to the technical inefficiency of teff production; about 0.4ton/ha grain yield gap between the expected maximum potential and the actual teff grain yield. Teff grain yield gap is estimated about1.1 million ton in 2013 at countrywide due to technical inefficiency. Thus, this review as sought to ascertain of the economics of teff and put highlight policy implication for further assuring food security through teff.https://crimsonpublishers.com/oabb/fulltext/OABB.000542.php
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Mental Energy in the Context of the General Theory of Information by Mark Burgin in Open access Biostatistics & Bioinformatics
Many researchers wrote about mental energy, psychic energy and spiritual energy. However, still there is neither clear understanding nor welldefined characterization of these phenomena. Here we study these concepts based on the general theory of information, the structuration of the world in the form of the Existential Triad of the world and the existing psychological and philosophical knowledge about the brain, psyche and mentality on the individual level. The goal is to explain the structure of mentality and elaborate a consistent system of concepts related to mental energy.
https://crimsonpublishers.com/oabb/pdf/OABB.000540.pdf
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A Survey on Trigonometric Measures of Fuzzy Information and Discrimination by DS Hooda in Open Access Biostatistics & Bioinformatics
In the literature of fuzzy information measures, there exist many well-known parametric and non-parametric measures with their own merits and limitations. But our main emphasis is on applications of these information measures to a variety of disciplines. It has been observed that trigonometric measure of fuzzy information measures have their own importance for application point of view particularly to geometry. In present communication the concept of fuzzy information measure is introduced with its generalizations. Some new trigonometric measures of fuzzy information due to various authors are defined and characterized. One generalized measure of fuzzy discrimination by Hooda [1] is proposed and its application in decision making is also studied.For more Open access journals in Crimson Publishers please click on
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Breast Cancer Prediction Using Bayesian Logistic Regression by Ashok K Singh in Open Access Biostatistics & Bioinformatics
Prediction of breast cancer based upon several features computed for each subject is a binary classification problem. Several discriminant methods exist for this problem, some of the commonly used methods are: Decision Trees, Random Forest, Neural Network, Support Vector Machine (SVM), and Logistic Regression (LR). Except for Logistic Regression, the other listed methods are predictive in nature; LR yields an explanatory model that can also be used for prediction, and for this reason it is commonly used in many disciplines including clinical research. In this article, we demonstrate the method of Bayesian LR to predict breast cancer using the Wisconsin Diagnosis Breast Cancer (WDBC) data set available at the UCI Machine Learning Repository.For more Open access journals in Crimson Publishers please click on
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Introduction of Improved Maize Variety and Applying its Integrated Stem Borer Management Techniques in Ethiopian Somali Region by Fano Dargo in Open Access Bio statistics & bioinformatics
The stem borer is one of the most destructive pests of maize crop. Research experimentations were carried out on maize to control stem borer. The experiment was 2x3 factorial experiments using randomized complete block design with ten replications. A total of two maize varieties (Melkassa hybrid 130 and local varieties) and three different stem borer management packages (Control, inter-cropping with cowpea and inter-cropping with Cowpea and Sudan Grass) were used. Data was collected on Days to maturity, Plant height, Ear length, Grain yield, Biomass yield, Harvest index, Biomass production rate and Grain yield per day. The results of analysis revealed that the interaction effect of Control mechanisms of stem borer and Maize varieties was significantly (P≤0.05) affected in all agronomic traits recorded except DTM, PH, EL and HI which is not significant. While, they were significantly (P≤0.05) affected by the maize variety. Treatment combination Improved Maize Variety (MH-130) mono-cropping gave the highest grain yield (4.70 t∙ha-1) of all the test treatment combination. While, the minimum grain yield (2.15 t∙ha-1) were observed in treatment combination Local Maize variety Mono-cropping. Grain yield had strong significant positive correlations with plant height (r=0.66**), Ear length (r=0.0.58**), Biomass yield (r=0.76**), harvest index (r=0.0.74**), biological yield rate (r=0.0.73**) and grain yield per day (r=0.96**). Based on objectively measured traits, farmers’ preferred Treatment 4 Improved Maize Variety (MH-130) mono-cropping was ranked the first (1.1), followed by Treatment 5 Improved Maize Variety (MH-130) inter-cropping with Cowpea (2.3) and Treatment 6 Improved Maize Variety (MH-130) inter-cropping with Cowpea and Sudan Grass (2.8). Therefore, it can be concluded that the use of treatment combination 4 Improved Maize Variety (MH-130) mono-cropping could be recommend for optimum yield and yield related traits of maize even though further testing is required to put the recommendation on a strong basis.
https://crimsonpublishers.com/oabb/abstract/OABB.000535.php
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Review on Parametric and Nonparametric Methods of Efficiency Analysis by Erkie Asmare in Open access Bio statistics & Bioinformatics
https://crimsonpublishers.com/oabb/fulltext/OABB.000534.php
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Bioinformaticsplease click on the link
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