Control of Elongation in Highly Stretched Cotton Tire Cord

1946 ◽  
Vol 19 (1) ◽  
pp. 253-266
Author(s):  
Howard J. Philipp ◽  
Carl M. Conrad
Keyword(s):  
Room Temperature ◽  
Breaking Strength ◽  
Reciprocal Relationship ◽  
Second Phase ◽  
Tire Cord ◽  
Proper Selection ◽  
Two Phases ◽  
Heat And Moisture ◽  
Selection Of ◽  
Product Control

Abstract 1. Cotton tire cords, differing with regard to gauge, construction, and variety of cotton, were subjected to stretching treatments involving various combinations of tension, heat, and moisture. It was found that all these treatments increased the strength of the cords but reduced their gauge and elongation at 10 pounds. The greatest increase in strength was obtained when tire cord was stretched in a swollen condition and in the presence of heat. Increases in count-strength product from 48 to 83 per cent were observed. 2. Experiments showed a reciprocal relationship between the strength and the elongation at 10 pounds obtainable by single-stretching treatments of tire cord, which makes impossible the control of elongation, independently of strength. Bone-dry elongations of about 6 per cent at 10 pounds could be obtained only with negligible increase in strength. 3. The original elongation was restored by treating highly stretched tire cord with water at room temperature for 30 minutes or with boiling water for 3 minutes, while most of the increase in strength resulting from stretching was retained. A hot-wet-stretched tire cord after treating with water had equal elongation but greater strength as compared with the untreated cord. 4. A dual-stretching method was devised which makes possible the control of elongation at 10 pounds independently of strength. The treatment consists of two phases : the first imparts to the cord the maximum potential breaking strength and the second serves to adjust the elongation at 10 pounds to a predetermined controlled value while maintaining over 90 per cent of the maximum count-strength product. Control of the elongation is achieved by proper selection of tension and degree of swelling during the second phase of the dual-stretching treatment.

scholarly journals Self-Adaptive K-Means Based on a Covering Algorithm

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Yiwen Zhang ◽  
Yuanyuan Zhou ◽  
Xing Guo ◽  
Jintao Wu ◽  
Qiang He ◽  
...  
Keyword(s):  
Large Scale ◽  
Clustering Algorithm ◽  
Real Data ◽  
Second Phase ◽  
Data Sets ◽  
Number Of Clusters ◽  
Large Scale Data ◽  
Long Time ◽  
Two Phases ◽  
Selection Of

The K-means algorithm is one of the ten classic algorithms in the area of data mining and has been studied by researchers in numerous fields for a long time. However, the value of the clustering number k in the K-means algorithm is not always easy to be determined, and the selection of the initial centers is vulnerable to outliers. This paper proposes an improved K-means clustering algorithm called the covering K-means algorithm (C-K-means). The C-K-means algorithm can not only acquire efficient and accurate clustering results but also self-adaptively provide a reasonable numbers of clusters based on the data features. It includes two phases: the initialization of the covering algorithm (CA) and the Lloyd iteration of the K-means. The first phase executes the CA. CA self-organizes and recognizes the number of clusters k based on the similarities in the data, and it requires neither the number of clusters to be prespecified nor the initial centers to be manually selected. Therefore, it has a “blind” feature, that is, k is not preselected. The second phase performs the Lloyd iteration based on the results of the first phase. The C-K-means algorithm combines the advantages of CA and K-means. Experiments are carried out on the Spark platform, and the results verify the good scalability of the C-K-means algorithm. This algorithm can effectively solve the problem of large-scale data clustering. Extensive experiments on real data sets show that the accuracy and efficiency of the C-K-means algorithm outperforms the existing algorithms under both sequential and parallel conditions.

scholarly journals Estudio de la enseñanza de ecosistemas amazónicos a través de la metodología de aprendizaje basada en la resolución de problemas (ABRP)

2018 ◽  
Vol 22 ◽  
pp. 9
Author(s):  
Carlos Henrique Nascimento ◽  
Ires Paula de Andrade Miranda
Keyword(s):  
Problem Solving ◽  
Data Collection ◽  
Primary School ◽  
School Environment ◽  
Problem Based Learning ◽  
Problem Formulation ◽  
Teaching Methodology ◽  
Second Phase ◽  
Two Phases ◽  
Selection Of

The purpose was to analyze the Problem-based learning (PBL) as a methodological alternative for primary school that favor learning about Amazonian ecosystems. This research is descriptive with a qualitative-quantitative approach. The study was carried out with students from the 9th year of primary school. The teaching methodology based on the PBL was applied in two phases: In the first phase, a test of previous conceptions was carried out in order to know the perception of the students on topics related to some units of landscapes of the Amazonian ecosystems. The second phase consisted of the implementation of the learning methodology in the school environment. Four different phases were established in the application: i) selection of topics; ii) problem formulation; iii) problem solving; iv) synthesis and evaluation. The data collection instruments used were: preconceptions test and skills chart. The results showed that after the application of the ABRP methodology, the cognitive recognition of the Amazonian ecosystems can be perceived in the students, reaching additional goals that the PCN establish.

FACTORS INFLUENCING THE AMOUNT OF INSULIN EXTRACTABLE FROM BEEF PANCREAS: I. EFFECTS OF AGING FRESH PANCREAS AT ROOM TEMPERATURE

1957 ◽  
Vol 35 (7) ◽  
pp. 527-535 ◽  
Author(s):  
Gerald A. Wrenshall ◽  
Charles H. Best ◽  
W. Stanley Hartroft
Keyword(s):  
Experimental Evidence ◽  
Beta Cells ◽  
Room Temperature ◽  
Second Phase ◽  
Structural Components ◽  
Factors Influencing ◽  
Two Phases ◽  
Early Rise ◽  
Effects Of Aging ◽  
New Formation

Effects on the concentration of extractable insulin of aging fresh beef pancreas at temperatures in the 22–26 °C. range have been described. Two phases of change with time of aging have been observed, describable as a transient increase superimposed on a progressive fall toward zero in the concentration of insulin extractable from the pancreas. In two of the eight experiments reported only the second phase was detected.Various hypotheses concerning the cause of the first phase are considered. The available experimental evidence is considered to support the hypothesis that the early rise in extractable insulin resulted from the continuing new formation of insulin from structural components already present in the cytoplasm of the beta cells at time of exsanguination, or diffusing into it thereafter. The progressive fall in the extractable insulin during the second phase must have resulted from destruction or inactivation of insulin within the pancreas.The bearing of these recent findings on the usage of the term "The insulin content of the pancreas" has been discussed.

scholarly journals MoDeSuS: A Machine Learning Tool for Selection of Molecular Descriptors in QSAR Studies Applied to Molecular Informatics

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
María Jimena Martínez ◽  
Marina Razuc ◽  
Ignacio Ponzoni
Keyword(s):  
Molecular Descriptors ◽  
External Validation ◽  
Software Tool ◽  
Quantitative Structure Activity Relationship ◽  
Second Phase ◽  
Qsar Studies ◽  
Qsar Modelling ◽  
Evolutionary Technique ◽  
Two Phases ◽  
Selection Of

The selection of the most relevant molecular descriptors to describe a target variable in the context of QSAR (Quantitative Structure-Activity Relationship) modelling is a challenging combinatorial optimization problem. In this paper, a novel software tool for addressing this task in the context of regression and classification modelling is presented. The methodology that implements the tool is organized into two phases. The first phase uses a multiobjective evolutionary technique to perform the selection of subsets of descriptors. The second phase performs an external validation of the chosen descriptors subsets in order to improve reliability. The tool functionalities have been illustrated through a case study for the estimation of the ready biodegradation property as an example of classification QSAR modelling. The results obtained show the usefulness and potential of this novel software tool that aims to reduce the time and costs of development in the drug discovery process.

A Subcircuit SPICE Model for SiC Charge-Balance Schottky Diodes

2020 ◽  
Vol 1004 ◽  
pp. 945-952
Author(s):  
Collin W. Hitchcock ◽  
Xiang Zhou ◽  
Gyanesh Pandey ◽  
Reza Ghandi ◽  
Alexander Bolotnikov ◽  
...  
Keyword(s):  
Room Temperature ◽  
Schottky Diodes ◽  
Electrical Characteristics ◽  
Electrical Behavior ◽  
Charge Balance ◽  
Temperature Dependent ◽  
Proper Selection ◽  
Spice Model ◽  
Proposed Model ◽  
Selection Of

The electrical behavior of silicon carbide charge-balance (CB) Schottky/JBS diodes is examined. Based on the observed electrical characteristics, a subcircuit SPICE model for the experimental devices is proposed and validated against the data. The proposed model consists of a standard SPICE diode with custom parameters along with a network of discrete resistive and reactive subcircuit elements required to replicate the complex static and dynamic behavior of the experimental devices. With proper selection of component values, static, dynamic, and temperature-dependent device behavior are well modelled from room temperature to 150°C.

scholarly journals Solving a Real-Life Distributor’s Pallet Loading Problem

2021 ◽  
Vol 26 (3) ◽  
pp. 53
Author(s):  
Mauro Dell’Amico ◽  
Matteo Magnani
Keyword(s):  
Bin Packing ◽  
Real Life ◽  
Second Phase ◽  
Pallet Loading ◽  
Minimum Number ◽  
Loading Problem ◽  
The Difference ◽  
Two Phases ◽  
The Stability ◽  
Selection Of

We consider the distributor’s pallet loading problem where a set of different boxes are packed on the smallest number of pallets by satisfying a given set of constraints. In particular, we refer to a real-life environment where each pallet is loaded with a set of layers made of boxes, and both a stability constraint and a compression constraint must be respected. The stability requirement imposes the following: (a) to load at level k+1 a layer with total area (i.e., the sum of the bottom faces’ area of the boxes present in the layer) not exceeding α times the area of the layer of level k (where α≥1), and (b) to limit with a given threshold the difference between the highest and the lowest box of a layer. The compression constraint defines the maximum weight that each layer k can sustain; hence, the total weight of the layers loaded over k must not exceed that value. Some stability and compression constraints are considered in other works, but to our knowledge, none are defined as faced in a real-life problem. We present a matheuristic approach which works in two phases. In the first, a number of layers are defined using classical 2D bin packing algorithms, applied to a smart selection of boxes. In the second phase, the layers are packed on the minimum number of pallets by means of a specialized MILP model solved with Gurobi. Computational experiments on real-life instances are used to assess the effectiveness of the algorithm.

FACTORS INFLUENCING THE AMOUNT OF INSULIN EXTRACTABLE FROM BEEF PANCREAS: I. EFFECTS OF AGING FRESH PANCREAS AT ROOM TEMPERATURE

1957 ◽  
Vol 35 (1) ◽  
pp. 527-535 ◽  
Author(s):  
Gerald A. Wrenshall ◽  
Charles H. Best ◽  
W. Stanley Hartroft
Keyword(s):  
Experimental Evidence ◽  
Beta Cells ◽  
Room Temperature ◽  
Second Phase ◽  
Structural Components ◽  
Factors Influencing ◽  
Two Phases ◽  
Early Rise ◽  
Effects Of Aging ◽  
New Formation

Effects on the concentration of extractable insulin of aging fresh beef pancreas at temperatures in the 22–26 °C. range have been described. Two phases of change with time of aging have been observed, describable as a transient increase superimposed on a progressive fall toward zero in the concentration of insulin extractable from the pancreas. In two of the eight experiments reported only the second phase was detected.Various hypotheses concerning the cause of the first phase are considered. The available experimental evidence is considered to support the hypothesis that the early rise in extractable insulin resulted from the continuing new formation of insulin from structural components already present in the cytoplasm of the beta cells at time of exsanguination, or diffusing into it thereafter. The progressive fall in the extractable insulin during the second phase must have resulted from destruction or inactivation of insulin within the pancreas.The bearing of these recent findings on the usage of the term "The insulin content of the pancreas" has been discussed.

scholarly journals An Image Fusion Method Based On Framelet Transform

2018 ◽  
Vol 9 (1) ◽  
pp. 60
Author(s):  
Patel Kalpana Dhanji ◽  
Santhosh Kumar Singh
Keyword(s):  
Image Fusion ◽  
Relevant Information ◽  
Second Phase ◽  
Fusion Method ◽  
Single Image ◽  
Transform Method ◽  
Frame Fusion ◽  
Two Phases ◽  
Image Fusion Method ◽  
Selection Of

<p>Image fusion is the process of combining relevant information from two or more images into a single image. The resulting image contains more information as compared to individual images. In this system, we are proposing a new image fusion method by using a technique called framelet transform. This method consists of two phases; First is the frame separation where the pre-processing and Selection of frames for both the images occurs and the second phase is the Frame fusion that is done by inverse framelet transform method is done from which a fused output images will be formed that will be containing both the information of the input images (CT &amp; MRI images).</p>

Meriel Talbot and the Society for the Overseas Settlement of British Women, 1919–1937

2017 ◽  
Vol 10 (1) ◽  
pp. 32-52
Author(s):  
Bonnie White
Keyword(s):  
Domestic Service ◽  
Agricultural Workers ◽  
British Government ◽  
Early Failure ◽  
Proper Selection ◽  
Domestic Servants ◽  
Female Workers ◽  
Female Migrants ◽  
Post War ◽  
Selection Of

In 1917 the British government began making plans for post-war adjustments to the economy, which included the migration of surplus women to the dominions. The Society for the Overseas Settlement of British Women was established in 1920 to facilitate the migration of female workers to the dominions. Earlier studies have argued that overseas emigration efforts purposefully directed women into domestic service as surplus commodities, thus alleviating the female ‘surplus’ and easing economic hardships of the post-war period. This article argues that as Publicity Officer for the SOSBW, Meriel Talbot targeted women she believed would be ideal candidates for emigration, including former members of the Women's Land Army and affiliated groups. With the proper selection of female migrants, Talbot sought to expand work opportunities for women in the dominions beyond domestic service, while reducing the female surplus at home and servicing the connection between state and empire. Dominion authorities, whose demands for migrant labour vacillated between agricultural workers during the war years and domestic servants after 1920, disapproved of Talbot's efforts to migrate women for work in agriculture. Divergent policies led to the early failure of the SOSBW in 1923.

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