scholarly journals Comparative Study of Mud Treating Agents

2018 ◽  
Vol 3 (1) ◽  
pp. 203-213
Author(s):  
Oloro John
Keyword(s):  
Comparative Study ◽  
Fresh Water ◽  
Ph Control ◽  
Plastic Viscosity ◽  
Experimental Results ◽  
Drilling Fluids ◽  
Drilling Operations ◽  
The Right ◽  
Better Than

The right Agents for treating Mud to achieve suitable mud properties was a problem in drilling operations, hence this study was embarked on by using different agents on fresh water drilling fluids while drilling. In this paper, mud treating agents (foreign additives and local additives) on a mud was considered and compared. Two additives (foreign and local additives) were formulated at different concentrations. From the experimental results, for the weighting agent, Barite performed better than Stibnite on mud weight. Also for the pH control additives, NaOH performed better than Burnt Plantain/Banana Peels. While for the viscosifier, CMC performed, while Tapioca causes a rapid increase in plastic viscosity which is undesirable. For Thinners, Trona and Lignosulphate gave same reducing effects, but Trona gave a better maintenance of pH.

scholarly journals A Comparative Study of Machine Learning Methods for Automatic Classification of Academic and Vocational Guidance Questions

2020 ◽  
Vol 14 (08) ◽  
pp. 43 ◽  
Author(s):  
Omar Zahour ◽  
El Habib Benlahmar ◽  
Ahmed Eddaouim ◽  
Oumaima Hourrane
Keyword(s):  
Machine Learning ◽  
Comparative Study ◽  
Automatic Classification ◽  
Vocational Guidance ◽  
Machine Learning Algorithms ◽  
Holland's Theory ◽  
Machine Learning Methods ◽  
The Right ◽  
Better Than

Academic and vocational guidance is a particularly important issue today, as it strongly determines the chances of successful integration into the labor market, which has become increasingly difficult. Families have understood this because they are interested, often with concern, in the orientation of their child. In this context, it is very important to consider the interests, trades, skills, and personality of each student to make the right decision and build a strong career path. This paper deals with the problematic of educational and vocational guidance by providing a comparative study of the results of four machine-learning algorithms. The algorithms we used are for the automatic classification of school orientation questions and four categories based on John L. Holland's Theory of RIASEC typology. The results of this study show that neural networks work better than the other three algorithms in terms of the automatic classification of these questions. In this sense, our model allows us to automatically generate questions in this domain. This model can serve practitioners and researchers in E-Orientation for further research because the algorithms give us good results.

scholarly journals Differential Evolution for Neural Networks Optimization

Mathematics ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 69 ◽  
Author(s):  
Marco Baioletti ◽  
Gabriele Di Bari ◽  
Alfredo Milani ◽  
Valentina Poggioni
Keyword(s):  
Neural Networks ◽  
Comparative Study ◽  
Differential Evolution ◽  
Adaptive Methods ◽  
Experimental Results ◽  
Classification Problems ◽  
Adaptive Differential Evolution ◽  
Neural Networks Optimization ◽  
Better Than ◽  
Self Adaptive

In this paper, a Neural Networks optimizer based on Self-adaptive Differential Evolution is presented. This optimizer applies mutation and crossover operators in a new way, taking into account the structure of the network according to a per layer strategy. Moreover, a new crossover called interm is proposed, and a new self-adaptive version of DE called MAB-ShaDE is suggested to reduce the number of parameters. The framework has been tested on some well-known classification problems and a comparative study on the various combinations of self-adaptive methods, mutation, and crossover operators available in literature is performed. Experimental results show that DENN reaches good performances in terms of accuracy, better than or at least comparable with those obtained by backpropagation.

Finding the Right Problems: Some HREM Applications to Interfaces

1984 ◽  
Vol 42 ◽  
pp. 376-379
Author(s):  
D. Cherns
Keyword(s):  
Grain Boundaries ◽  
High Resolution Electron Microscopy ◽  
Boundary Structure ◽  
Atomic Structures ◽  
Grain Boundary Structure ◽  
Resolution Electron ◽  
Point To Point ◽  
The Right ◽  
New Generation ◽  
Better Than

The use of high resolution electron microscopy (HREM) to determine the atomic structure of grain boundaries and interfaces is a topic of great current interest. Grain boundary structure has been considered for many years as central to an understanding of the mechanical and transport properties of materials. Some more recent attention has focussed on the atomic structures of metalsemiconductor interfaces which are believed to control electrical properties of contacts. The atomic structures of interfaces in semiconductor or metal multilayers is an area of growing interest for understanding the unusual electrical or mechanical properties which these new materials possess. However, although the point-to-point resolutions of currently available HREMs, ∼2-3Å, appear sufficient to solve many of these problems, few atomic models of grain boundaries and interfaces have been derived. Moreover, with a new generation of 300-400kV instruments promising resolutions in the 1.6-2.0 Å range, and resolutions better than 1.5Å expected from specialist instruments, it is an appropriate time to consider the usefulness of HREM for interface studies.

Comparative Study Between Clean Intermittent Self-Catheterization (Cisc) and Continuous Indwelling Catheterization (Cidc) in Relieving Acute Refractory Retention of Urine Due to Benign Enlargement of Prostate (Bep)

2020 ◽  
Vol 21 (2) ◽  
pp. 105-110
Author(s):  
Md Shawkat Alam ◽  
Sudip Das Gupta ◽  
Hadi Zia Uddin Ahmed ◽  
Md Saruar Alam ◽  
Sharif Muhammod Wasimuddin
Keyword(s):  
Comparative Study ◽  
Acute Urinary Retention ◽  
Bladder Capacity ◽  
Inclusion Criteria ◽  
College Hospital ◽  
Medical College ◽  
High Incidence ◽  
Group A ◽  
Group B ◽  
Better Than

Objective: To compare the clean intermittent self-catheterization (CISC) with continuous indwelling catheterization (CIDC) in relieving acute urinary retention (AUR) due to benign enlargement of prostate (BEP). Materials and Methods :A total 60 patients attending in urology department of Dhaka Medical college hospital were included according to inclusion criteria ,Patients were randomized by lottery into two groups namely group –A and group –B for CISC and IDC drainage respectively . Thus total 60 patients 30 in each group completed study. Results : Most men can safely be managed as out-patients after AUR due to BPH. The degree of mucosal congestion and inflammation within the bladder was found to be lower in those using CISC and the bladder capacity in these patients was also found higher.Patients with an IDC had a high incidence of UTIs then that of patients with CISC. During the period of catheterization the incidence of UTI was 43.3% in group B in comparison to 40% in group A; before TURP 36% in group B in comparison to 10% incidence in group A.According to patient’s opinion CISC is better than IDC in the management of AUR. Experiencing bladder spasm, reporting blood in urine, management difficulties, incidence and severity of pain were less in CISC group, and the method of CISC was well accepted by patients as well as their family members. Conclusion: From the current study it may be suggested that CISC is better technique for management of AUR patient due to BPH than IDC. It can also be very helpful when surgery must be delayed or avoided due to any reasons in this group of patients. Bangladesh Journal of Urology, Vol. 21, No. 2, July 2018 p.105-110

THE SOURCES OF AUXIN HORMONE TO GROWTH OF SHOOT PINEAPPLE STEM CUTTING (Ananascomosus.L. Merr.)

2016 ◽  
Vol 1 (1) ◽  
pp. 45-52
Author(s):  
Palupi Puspitorini
Keyword(s):  
Water Concentration ◽  
Urine Concentration ◽  
Experimental Results ◽  
Stem Cuttings ◽  
Randomized Design ◽  
Natural Hormone ◽  
Cow Urine ◽  
Urine Concentrations ◽  
Completely Randomized Design ◽  
Better Than

The aim of this study was to select the best sources of auxin of which it can stimulate the growth of shoots Pineapple plant cuttings. This research is compiled in a completely randomized design (CRD) with 4 treatments and 6 replications. The Data were statistically Analyzed by the DMRT. Level of treatment given proves that no treatment 0%, cow urine concentration of 25%, young coconut water concentration of 25% and Rootone F 100 mg / cuttings. The results showed that cow urine concentrations of 25% and Rootone F 100 mg give the best results in stimulating the growth of shoots pineapple stem cuttings. Experimental results concluded that the effect of this natural hormone were better than the shoots without given hormone.           

Comparative Study Between Geant4, MCNP6 and Experimental Results Against Gamma Radiation Comes from a Cobalt-60 Source

2020 ◽  
Vol 75 (5) ◽  
pp. 507-511
Author(s):  
Y. El-Ouardi ◽  
A. Dadouch ◽  
A. Aknouch ◽  
M. Mouhib ◽  
A. Maghnouj ◽  
...  
Keyword(s):  
Comparative Study ◽  
Gamma Radiation ◽  
Experimental Results

Biomechanical characteristics of allogeneic cortical bone pins designed for fracture fixation

2008 ◽  
Vol 21 (02) ◽  
pp. 140-146
Author(s):  
M. R. Edwards ◽  
S. P. James ◽  
W. S. Dernell ◽  
R. J. Scott ◽  
A. M. Bachand ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Cortical Bone ◽  
Fracture Fixation ◽  
Impact Testing ◽  
Left Tibia ◽  
Four Point Bending ◽  
And Gender ◽  
The Right ◽  
Biomechanical Comparison ◽  
Better Than

SummaryThe biomechanical characteristics of 1.2 mm diameter allogeneic cortical bone pins harvested from the canine tibia were evaluated and compared to 1.1 mm diameter stainless steel pins and 1.3 mm diameter polydioxanone (PDS) pins using impact testing and four-point bending. The biomechanical performance of allogeneic cortical bone pins using impact testing was uniform with no significant differences between sites, side, and gender. In four-point bending, cortical bone pins harvested from the left tibia (204.8 ± 77.4 N/mm) were significantly stiffer than the right tibia (123.7 ± 54.4 N/mm, P=0.0001). The site of bone pin harvest also had a significant effect on stiffness, but this was dependent on interactions with gender and side. Site C in male dogs had the highest mean stiffness in the left tibia (224.4 ± 40.4 N/mm), but lowest stiffness in the right tibia (84.9 ± 24.2 N/mm). Site A in female dogs had the highest mean stiffness in the left tibia (344.9 ± 117.4 N/mm), but lowest stiffness in the right tibia (60.8 ± 3.7 N/mm). The raw and adjusted bending properties of 1.2 mm cortical bone pins were significantly better than 1.3 mm PDS pins, but significantly worse than 1.1 mm stainless steel pins (P<0.0001). In conclusion, cortical bone pins may be suitable as an implant for fracture fixation based on initial biomechanical comparison to stainless steel and PDS pins used in clinical practice.

A Computational Method for the Identification of Endolysins and Autolysins

2020 ◽  
Vol 27 (4) ◽  
pp. 329-336 ◽  
Author(s):  
Lei Xu ◽  
Guangmin Liang ◽  
Baowen Chen ◽  
Xu Tan ◽  
Huaikun Xiang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Cell Wall ◽  
Experimental Results ◽  
Computational Method ◽  
Lytic Enzyme ◽  
Support Vector ◽  
Lytic Enzymes ◽  
Data Set ◽  
Optimal Feature ◽  
Better Than

Background: Cell lytic enzyme is a kind of highly evolved protein, which can destroy the cell structure and kill the bacteria. Compared with antibiotics, cell lytic enzyme will not cause serious problem of drug resistance of pathogenic bacteria. Thus, the study of cell wall lytic enzymes aims at finding an efficient way for curing bacteria infectious. Compared with using antibiotics, the problem of drug resistance becomes more serious. Therefore, it is a good choice for curing bacterial infections by using cell lytic enzymes. Cell lytic enzyme includes endolysin and autolysin and the difference between them is the purpose of the break of cell wall. The identification of the type of cell lytic enzymes is meaningful for the study of cell wall enzymes. Objective: In this article, our motivation is to predict the type of cell lytic enzyme. Cell lytic enzyme is helpful for killing bacteria, so it is meaningful for study the type of cell lytic enzyme. However, it is time consuming to detect the type of cell lytic enzyme by experimental methods. Thus, an efficient computational method for the type of cell lytic enzyme prediction is proposed in our work. Method: We propose a computational method for the prediction of endolysin and autolysin. First, a data set containing 27 endolysins and 41 autolysins is built. Then the protein is represented by tripeptides composition. The features are selected with larger confidence degree. At last, the classifier is trained by the labeled vectors based on support vector machine. The learned classifier is used to predict the type of cell lytic enzyme. Results: Following the proposed method, the experimental results show that the overall accuracy can attain 97.06%, when 44 features are selected. Compared with Ding's method, our method improves the overall accuracy by nearly 4.5% ((97.06-92.9)/92.9%). The performance of our proposed method is stable, when the selected feature number is from 40 to 70. The overall accuracy of tripeptides optimal feature set is 94.12%, and the overall accuracy of Chou's amphiphilic PseAAC method is 76.2%. The experimental results also demonstrate that the overall accuracy is improved by nearly 18% when using the tripeptides optimal feature set. Conclusion: The paper proposed an efficient method for identifying endolysin and autolysin. In this paper, support vector machine is used to predict the type of cell lytic enzyme. The experimental results show that the overall accuracy of the proposed method is 94.12%, which is better than some existing methods. In conclusion, the selected 44 features can improve the overall accuracy for identification of the type of cell lytic enzyme. Support vector machine performs better than other classifiers when using the selected feature set on the benchmark data set.

scholarly journals Skill and strategic control

Synthese ◽  
2021 ◽  
Author(s):  
Ellen Fridland
Keyword(s):  
Decision Making ◽  
Empirical Evidence ◽  
Mental Imagery ◽  
Sports Psychology ◽  
Mental Practice ◽  
Strategic Control ◽  
Cognitive Representations ◽  
Personal Level ◽  
The Right ◽  
Better Than

AbstractThis paper provides an account of the strategic control involved in skilled action. When I discuss strategic control, I have in mind the practical goals, plans, and strategies that skilled agents use in order to specify, structure, and organize their skilled actions, which they have learned through practice. The idea is that skilled agents are better than novices not only at implementing the intentions that they have but also at forming the right intentions. More specifically, skilled agents are able formulate and modify, adjust and adapt their practical intentions in ways that are appropriate, effective, and flexible given their overall goals. Further, to specify the kind of action plans that are involved in strategic control, I’ll rely on empirical evidence concerning mental practice and mental imagery from sports psychology as well as evidence highlighting the systematic differences in the cognitive representations of skills between experts and non-experts. I’ll claim that, together, this evidence suggests that the intentions that structure skilled actions are practical and not theoretical, that is, that they are perceptual and motor and not abstract, amodal, or linguistic. Importantly, despite their grounded nature, these plans are still personal-level, deliberate, rational states. That is, the practical intentions used to specify and structure skilled actions are best conceived of as higher-order, motor-modal structures, which can be manipulated and used by the agent for the purpose of reasoning, deliberation, decision-making and, of course, the actual online structuring and organizing of action.

Sign in / Sign up

Export Citation Format

Share Document