The Minimum Value of a Definite Integral

This research is motivated by the low ability students in finding ideas principal authorshipnarration in class IV SDN 003 Pagaran Tapah Darussalam. Goals to be achieved in thisresearch is to improve the ability of students in the basic idea for narrative writing in class IVSDN 003 Pagaran Tapah Darussalam through DRTA Strategy (directed reading thinkingactivity) carried out for 1 month. This research was conducted in SDN 003 Pagaran TapahDarussalam. Classes are meticulous researchers are class IV by the number of students asmany as 20 people. The study of this class action commenced in early September 2014. Thisform of research is classroom action research. The research instrument consists ofinstruments teacher and student activity sheets and achievement test. Based on the results ofthe study, the research concluded that the ability to search for the key idea fourth gradestudents of SDN 003 Pagaran Tapah Darussalam can be enhanced through DRTA strategy.This is evident from the increase in the student's ability in finding the key idea of the strategyDRTA before being applied to the second cycle of the second meeting. Known frompreliminary data the average value of students is 63. If the views of classical completeness,there are 30% of students (6) who finished obtaining a minimum value of 65 (according to thestandard KKM), the first cycle the first meeting denganrata average increased to 65, 3%circuitry completeness reach 10 or 50%, while in the second meeting mkembali increased to69.5 by the thoroughness of 12 people or 60% and sikluy II first meeting back in an averageincrease of 75% with the thoroughness of 16 or 80% and increased again in meetings second,reaching 80.5% with 100% completeness. The overall ability of students increased from theinitial tests until the fourth meeting of (20%). Thus, this study was successful

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Investigation of the effect of the constructive and mode parametres of a combined rocker on the power of the drive of the working bodies

The Agrarian Scientific Journal ◽

10.28983/asj.y2019i5pp82-85 ◽

2019 ◽

pp. 82-85

Author(s):

Pavel Ivanovich Pavlov ◽

Viktor Vladislavovich Korsak ◽

Aleksandr Olegovich Vezirov ◽

Dmitriy Vadimovich Mukhin

Keyword(s):

Operating Parameters ◽

Regression Equations ◽

Drive Power ◽

Minimum Value ◽

Working Bodies

The regression equations and graphical dependencies are obtained, which describe the influence of design and operating parameters on the drive power of the working bodies. The value of the design and operating parameters in which the power required to drive the working bodies, will have a minimum value are experimentally determined.

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Physico-Chemical Characteristics of Sapota (Chikoo) Powder based Value Added Pasta Product using Semolina (Suji) and Maida

Journal of AgriSearch ◽

10.21921/jas.v7i04.19394 ◽

2020 ◽

Vol 7 (04) ◽

Author(s):

SATYA NARAYAN SINGH ◽

RAJESH G BURBADE ◽

HITESH SANCHAVAT ◽

P S PANDIT

Keyword(s):

Bulk Density ◽

Crude Protein ◽

Water Solubility ◽

Value Added ◽

Absorption Capacity ◽

Oil Absorption ◽

Minimum Value ◽

Maximum Value ◽

Physico Chemical ◽

Specific Length

The cereals of today are more nutritious and healthful than ever before. Cereals processing is one of the oldest and the most essential part of all food technologies. Pasta products and noodles have been staple foods since ancient times in many countries all over the world. In this study pasta formulation was substituted with blending sapota powder in different proportions (4 levels i.e. 0%, 10%, 20%, 30%) into semolina and maida flour separately. Pasta products were prepared using eight different formulations and adding water (approximately 31% of total weight) in DOLLY pasta extruder machine. All the samples were evaluated for physical properties: specific length (mm/g), bulk density (kg/m3), specific density (kg/m3) and porosity (%); functional properties: water absorption index (%), water solubility index (%) and oil absorption capacity (ml/g) and nutritional compositions: moisture (%), crude protein (%), fat (%) and carbohydrate (%). Highest specific length 36.20 mm/g was observed for T5 treatment, low bulk density 368.10 kg/m3 was observed for T5 and highest porosity 9.24% was found for T1 treatment. The maximum WAI, WSI values 325.83%, 17.33% respectively was observed for T1 treatment and minimum value of oil absorption capacity 1.06 ml/g for T8 treatment. The moisture content of dried pasta products was found in the range of 6 to 7%. The maximum value of crude protein 13.07% was found for T5 and minimum value 8.81% for T4 treatments. The fat contents were varied from 1.02% to 1.28 %. The maximum value of carbohydrate was 76.20% for T1 and minimum value 65.41% for T8.

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A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream

ACM Transactions on Knowledge Discovery from Data ◽

10.1145/3465238 ◽

2021 ◽

Vol 16 (2) ◽

pp. 1-30

Author(s):

Guangtao Wang ◽

Gao Cong ◽

Ying Zhang ◽

Zhen Hai ◽

Jieping Ye

Keyword(s):

Frequency Estimation ◽

Frequent Itemsets ◽

Frequent Itemset ◽

Experimental Results ◽

Closure Property ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Minimum Value ◽

Downward Closure ◽

Bounded Size

The streams where multiple transactions are associated with the same key are prevalent in practice, e.g., a customer has multiple shopping records arriving at different time. Itemset frequency estimation on such streams is very challenging since sampling based methods, such as the popularly used reservoir sampling, cannot be used. In this article, we propose a novel k -Minimum Value (KMV) synopsis based method to estimate the frequency of itemsets over multi-transaction streams. First, we extract the KMV synopses for each item from the stream. Then, we propose a novel estimator to estimate the frequency of an itemset over the KMV synopses. Comparing to the existing estimator, our method is not only more accurate and efficient to calculate but also follows the downward-closure property. These properties enable the incorporation of our new estimator with existing frequent itemset mining (FIM) algorithm (e.g., FP-Growth) to mine frequent itemsets over multi-transaction streams. To demonstrate this, we implement a KMV synopsis based FIM algorithm by integrating our estimator into existing FIM algorithms, and we prove it is capable of guaranteeing the accuracy of FIM with a bounded size of KMV synopsis. Experimental results on massive streams show our estimator can significantly improve on the accuracy for both estimating itemset frequency and FIM compared to the existing estimators.

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Nitrogen isotope fractionation during the reduction of NO3− to NH4+ by Desulfovibrio sp.

Canadian Journal of Microbiology ◽

10.1139/m83-038 ◽

1983 ◽

Vol 29 (2) ◽

pp. 231-234 ◽

Cited By ~ 24

Author(s):

R. G. L. McCready ◽

W. D. Gould ◽

R. W. Barendregt

Keyword(s):

Isotope Fractionation ◽

Nitrogen Isotope ◽

Initial Sample ◽

Minimum Value ◽

Nitrogen Isotope Fractionation ◽

Reductive Process

Desulfovibrio reduce NO3−to NH4+ via a dissimilatory pathway. In 21 days, four strains of Desulfovibrio reduced 36–48% of the available NO3− to ammonium. During this reductive process extensive nitrogen isotope fractionation occurred: the product NH4+ was enriched in 15N in the initial sample, then became enriched in 14N to a minimum value at approximately 20–25% reaction, and then became isotopically heavier as the reaction proceeded.

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