This article presents a new approach to compensation for manufacturing errors in real time. This approach is based on the insertion of the mathematical models into a G-code form in NC programming. Compensated errors in this work are errors due to cutting tool wear, errors due to tool path, and errors due to positioning. We used the lagrange method to model errors due to the trajectory and wear of the cutting tool and the small displacement method for positioning.

The purpose of this study was to examine the effects of warm-up intensity on total oxygen uptake and VO2 kinetics (time constants) during sub¬¬¬maximal exercise in the Iranian national female futsall player’s. The participants of this study were ten Players of Iranian futsal national team (mean± SD: age,22.5±3.2yrs;weight,56.04±6.17kg;height,163±3.68cm;bodyfat%,23.5±3.8;BMI, 21.07± 2.22kg/m2; VO2max, 46.05± 4.61 ml.kg-1.min-1 ). After measuring of VO2max and LT in first session, the subjects performed two protocols of warm up (moderate and heavy intensity) and one protocol with¬out warm up before sub¬maximal exercise (80%LT) in three separated sessions. Respiratory gas exchange measured by Gas Analyzer during the exercise. Repeated measures ANOVA and LSD test were applied for statistical analysis. Total oxygen uptakes were not significant difference after three conditions. After moderate and heavy warm up, third time constants significantly reduced in compare to with¬out warm-up (p<0/05). also oxygen uptake/time ratio in third time constants significantly increased after moderate and heavy warm up respect to with¬out warm-up (p<0/05). The results suggest that warm up causes reducing the time of reaching to steady state of O2 uptake in sub maximal exercise and this effect is independent to warm up intensity.

Fuzzy set theory plays a vital role in many fields. There are varieties of models involving fuzzy matrices to deal with different complicated aspects of medical diagnosis. Today is a world of uncertainty with its associated problems, which can be well handled by soft set theory. In this paper, a new technique named fuzzy max-min average composition method is proposed to construct the decision method for the analysis of Students Problems that affects their studies using Intuitionistic fuzzy soft matrices and its operations. Sanchez’s approach for decision making is studied and the concept is generalized by the application of Intuitionistic fuzzy soft set theory.

Boron is an important micronutrient that enhances the reproductive growth of crops such as groundnut. Light also plays an important role for pegging of groundnut. There has been little information on the application of boron and light in groundnut in Bangladesh. A field experiment was conducted to study the effects of boron and light on the reproductive development of two groundnut cultivars. Treatments considered as two groundnut cultivars, viz., ‘Dhaka-1 (C1)’ and ‘BARI Chinabadam-8 (C2)’, three levels of boron (B), viz., 0-kg B ha-1 (B0), 1-kg B ha-1 (B1) and 2-kg B ha-1 (B2), and two levels of light, viz., normal daylight (≈12-h light) and normal daylight + 6-h extended red light at night (≈18-h light). Result revealed that the reproductive development, yield and shelling percentage of groundnut were markedly increased with the application of B. Due to the imposition of light all of the reproductive units increased but decreased the number of pods and pod yield. The highest reproductive unit and yield were observed from ‘BARI Chinabadam-8’. Therefore, reproductive development could be improved by application of boron in improved cultivars (BARI Chinabadam-8) but not for under extended light.

Abstract: The objective of this study is to determine the prevalence of non-syndromic hypodontia and oligodontia and to identify the types of associated dental anomalies in the permanent dentition of children and adolescents in the N-W Romania. The study was conducted between 2008 and 2015 on a group of 566 children aged between 12-18 years. Dental agenesis was diagnosed using clinical and radiological criteria. The numbers and types of teeth missing were noted. Third molars were excluded. Hypodontia had a prevalence of 2.00% in girls and 3.76% in boys (p=0,007), and oligodontia of 0.33% in girls and 0.38% in boys (p=0,367). Unique abnormalities were registered at 1.00% in girls and 1.50% in boys (p=0.026), those with two associations at 0.67% in girls and 1.50% in boys (p=0.015), and those with triple association at 0.67% in girls and 1.13% in boys (0.037%). Hypodontia/oligodontia has been identified in association with other dental abnormalities such as inclusion, microdontia, and enamel hypomineralization. The most frequent was the association of hypodontia with enamel hypomineralization.

In this paper we will present a new method that can change the order of\ndeterminants from