Different characteristics in the hygroscopicity of the graded hierarchical bamboo structure

2022 ◽  
Vol 176 ◽  
pp. 114333
Author(s):  
Jing Yuan ◽  
Qi Chen ◽  
Benhua Fei
Keyword(s):  
Bamboo Structure ◽  
Different Characteristics

Antithrombin Activity of Intact Human Platelets

1975 ◽  
Vol 34 (01) ◽  
pp. 115-126 ◽  
Author(s):  
Kiyoake Watanabe ◽  
Francis C Chao ◽  
James L Tullis
Keyword(s):  
Antithrombin Iii ◽  
Human Platelets ◽  
Significant Loss ◽  
Red Cells ◽  
Antithrombin Activity ◽  
Α2 Macroglobulin ◽  
Rapid Reaction ◽  
Pre Treatment ◽  
Different Characteristics

SummaryAntithrombin activity has been identified in intact washed human platelets. An apparent activity was demonstrated at platelet concentrations above 0.31 × 109/ml, when platelet suspensions were incubated with 2.0 NIH units/ml of thrombin. Neither red cells nor white cells revealed antithrombin activity. No significant loss of the platelet antithrombin activity was observed after ten successive washings or after treatment of platelets with antibodies to antithrombin III or α2-macroglobulin. Almost the same amount of antithrombin activity as normal platelets was demonstrated in the platelets from an afibrinogenemic patient. Pre-treatment of platelets with trypsin, papain, and neuroaminidase reduced the activity significantly, whereas lipase was without effect. The platelet antithrombin reacted with thrombin in less than 3 seconds, and this rapid reaction of platelet antithrombin was different from that of plasma antithrombin III or fibrinogen. The thrombin-like clotting activity of ancrod was inhibited by fibrinogen but not platelets. Also, unlike plasma antithrombin III or fibrinogen, brief exposure to heat (56° C or 60° C) reduced considerable amounts of platelet antithrombin activity. These results suggest that platelets possess a specific antithrombin with different characteristics from other known antithrombins.

MONITORING OF OPERATIONAL LOGISTIC PROCESSES IN GENERAL CARGO WAREHOUSES USING PREDICTIVE ANALYSIS

2019 ◽  
Vol 13 (1) ◽  
pp. 27-36
Author(s):  
Andreas Neubert
Keyword(s):  
Data Mining ◽  
Human Error ◽  
Predictive Analysis ◽  
Data Mining Algorithm ◽  
It Infrastructure ◽  
Monitoring Procedure ◽  
Manual Recording ◽  
Mining Tool ◽  
General Cargo ◽  
Different Characteristics

Due to the different characteristics of the piece goods (e.g. size and weight), they are transported in general cargo warehouses by manually-operated industrial trucks such as forklifts and pallet trucks. Since manual activities are susceptible to possible human error, errors occur in logistical processes in general cargo warehouses. This leads to incorrect loading, stacking and damage to storage equipment and general cargo. It would be possible to reduce costs arising from errors in logistical processes if these errors could be remedied in advance. This paper presents a monitoring procedure for logistical processes in manually-operated general cargo warehouses. This is where predictive analysis is applied. Seven steps are introduced with a view to integrating predictive analysis into the IT infrastructure of general cargo warehouses. These steps are described in detail. The CRISP4BigData model, the SVM data mining algorithm, the data mining tool R, the programming language C++ for the scoring in general cargo warehouses represent the results of this paper. After having created the system and installed it in general cargo warehouses, initial results obtained with this method over a certain time span will be compared with results obtained without this method through manual recording over the same period.

GRANOLA BAR YANG DIFORTIFIKASI DENGAN PROTEIN DAGING KERANG SEBAGAI SNACK SEHAT BAGI ANAK BERKEBUTUHAN KHUSUS

EKOLOGIA ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 78-82
Author(s):  
Sata Yoshida Srie Rahayu ◽  
Tri Aminingsih ◽  
Yulianita .
Keyword(s):  
Special Needs ◽  
Analysis Of Variance ◽  
Research Method ◽  
Nutritional Value ◽  
Food Products ◽  
Children With Special Needs ◽  
Organoleptic Test ◽  
Anodonta Woodiana ◽  
Different Characteristics

Flour of Anodonta woodiana meat may be added in the manufacture of food products such as granola bar. The aim of addition is to increase the nutritional value on snacks needed by children with special needs through fortification. This research method was done by making products granola bar in three formulas: without the addition of shells flour, the addition of 2.8 gram, and 5.6 gram. Granola bar were made for consumption by children (7-9 years old) and teenager (10-18 years old). Tests performed included organoleptic test. The results of organoleptic test between three formulas of produced granola bar have different characteristics in flavor parameter. The results of the analysis of parameters of color, aroma, and flavor tested by analysis of variance software showed that the most preferred formula is the second formula with the addition 2.8 gram of mussel meat flour. This granola bar snack is a healthy snack that is safe for consumption by children with special needs, because it is made from ingredients that do not contain flavorings, dyes and artificial preservatives.

Comparison of Meta-heuristic Algorithms on Benchmark Functions

2019 ◽  
Vol 2 (3) ◽  
pp. 508-517
Author(s):  
FerdaNur Arıcı ◽  
Ersin Kaya
Keyword(s):  
Heuristic Algorithms ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Optimization Algorithms ◽  
Gravitational Search Algorithm ◽  
Differential Evolution Algorithm ◽  
Population Based ◽  
Time Interval ◽  
Bee Colony ◽  
Different Characteristics

Optimization is a process to search the most suitable solution for a problem within an acceptable time interval. The algorithms that solve the optimization problems are called as optimization algorithms. In the literature, there are many optimization algorithms with different characteristics. The optimization algorithms can exhibit different behaviors depending on the size, characteristics and complexity of the optimization problem. In this study, six well-known population based optimization algorithms (artificial algae algorithm - AAA, artificial bee colony algorithm - ABC, differential evolution algorithm - DE, genetic algorithm - GA, gravitational search algorithm - GSA and particle swarm optimization - PSO) were used. These six algorithms were performed on the CEC’17 test functions. According to the experimental results, the algorithms were compared and performances of the algorithms were evaluated.

Clinical and sonological features in endometriomas in women of reproductive age

2016 ◽  
pp. 85-89
Author(s):  
О. Shapoval ◽  
Keyword(s):  
Endometrial Hyperplasia ◽  
Benign Tumor ◽  
Pain Syndrome ◽  
Reproductive Age ◽  
Control Group ◽  
Women Of Reproductive Age ◽  
Ovarian Endometriosis ◽  
Gynecological Examination ◽  
Different Characteristics ◽  
Ovarian Endometriomas

The objective: to study the prevalence of ovarian endometriosis in women of reproductive age, the features of clinical and ultrasound picture of endometriosis. Patients and methods. The study involved 22 patients with endometriomas, the control group – 50 women gynecological and somatically healthy. Results. The incidence of ovarian endometriomas in the structure of benign tumor-like formations of ovaries is 0.62%. In 72.73% of ovarian endometriomas occur on a background of concomitant gynecological pathology. Clinically, in 77.27% of cases there is a pain syndrome, in 59.09% – algomenorrhea, in 13.64% – infertility; 18.18% of cases endometriomas remain «dumb» and proceed with the erased clinical picture. Sonologically in patients with endometriomas adenomyosis, endometrial hyperplasia, changes in the contralateral ovary are determined. Conclusion. Without additional methods of diagnostic gynecological examination may identify the 3 cm tumor-like formation of the ovary with different characteristics, which does not allow to differentiate endometrioma from inflammation, functional and ovarian tumors. Ultrasound can diagnose pathological ovarian formation of 1 cm, detailing the nature of the cyst. Key words: endometriosis, reproductive age, retrospective analysis, ultrasound.

Classification of Observations through Combination of the Dimension Reduction and the Cluster Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 30
Author(s):  
Hyeuk Kim
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Unsupervised Learning ◽  
Principal Component ◽  
Component Analysis ◽  
Baseball Players ◽  
Partitioning Around Medoids ◽  
Different Characteristics

Unsupervised learning in machine learning divides data into several groups. The observations in the same group have similar characteristics and the observations in the different groups have the different characteristics. In the paper, we classify data by partitioning around medoids which have some advantages over the k-means clustering. We apply it to baseball players in Korea Baseball League. We also apply the principal component analysis to data and draw the graph using two components for axis. We interpret the meaning of the clustering graphically through the procedure. The combination of the partitioning around medoids and the principal component analysis can be used to any other data and the approach makes us to figure out the characteristics easily.

The Internationalization Of Human Rights And The Importance Of Normative Dialogues Between International And National Courts

2017 ◽  
Vol 17 (2) ◽  
pp. 137
Author(s):  
Mariane Morato Stival ◽  
Marcos André Ribeiro ◽  
Daniel Gonçalves Mendes da Costa
Keyword(s):  
Human Rights ◽  
The Other ◽  
Human Rights Protection ◽  
Rights Protection ◽  
National Courts ◽  
European Court ◽  
Differences Of Opinion ◽  
Rights Discourse ◽  
Different Characteristics ◽  
Human Rights Discourse

This article intends to analyze in the context of the complexity of the process of internationalization of human rights, the definitions and tensions between cultural universalism and relativism, the essence of human rights discourse, its basic norms and an analysis of the normative dialogues in case decisions involving violations of human rights in international tribunals such as the European Court of Human Rights, the Inter-American Court of Human Rights and national courts. The well-established dialogue between courts can bring convergences closer together and remove differences of opinion on human rights protection. A new dynamic can occur through a complementarity of one court with respect to the other, even with the different characteristics between the legal orders.

PENGARUH KEPUASAN KERJA TERHADAP KETERIKATAN KARYAWAN DIMEDIASI OLEH KERJA TIM

2020 ◽  
Vol 22 (1) ◽  
pp. 78-86
Author(s):  
Ayu Yuni Afifah
Keyword(s):  
Job Satisfaction ◽  
Employee Engagement ◽  
Working Environment ◽  
Analysis Tool ◽  
Different Characteristics

Abstract: The phenomenon of millennials massive entry into the working environment in the last decade brought different characteristics with the previous generations. The negative stigma attached to the millennials reinforced the cirmcumstances that millennials’ engagement level at work was low although their job satisfaction was high. This research aimed to examine the implication of teamwork in mediating job satisfaction and employee engagement. This study involved 129 respondents and used SmartPLS 3.2.8 as an analysis tool. This study suggests that job satisfaction significantly affecting employee engagement but partially mediated by teamwork. This research provides insights for companies, how to maintain millennials at work. Keywords: employee engagement, job satisfaction, teamwork, millennials

Impact of Chatbot in Transforming the Face of Retailing- An Empirical Model of Antecedents and Outcomes

2019 ◽  
Vol 12 ◽  
Author(s):  
Kumari Anshu ◽  
Loveleen Gaur ◽  
Arun Solanki
Keyword(s):  
Research Work ◽  
Shopping Behavior ◽  
Model Framework ◽  
Shopping Experience ◽  
The Face ◽  
Strongly Agree ◽  
Different Characteristics ◽  
Work Done ◽  
The Impact ◽  
Self Administered Questionnaire

Chatbot has emerged as a significant resolution to the swiftly growing customer caredemands in recent times. Chatbot has emerged as one of the biggest technological disruption. Simply speaking, it is a software agent facilitating interaction between computers and humans in natural language. So basically, it is a simulated, intellectual dialogue agent functional in a range of consumer engagement circumstances. It is the easiest and simplest means enable interaction between the retailers and the customers. </p><p> • Purpose- Most of the research work done in this field is concerned with their technical aspects. The recent research on chatbot pay little attention to the impact it is creating on users’ experience. Through this work, author is making an effort to know the customer-oriented impact that the chatbot bear on the shoppers. The purpose of this study is to develop and empirically test a framework that identify the customer oriented attributes of chatbot and impact of these attributes on customers. </p><p> • Objectives- The study intends to bridge the gap between concepts and actual attributes and applications on the subject of Chatbot. The following research objectives can address the various aspects of Chatbot affecting the different characteristics of consumers shopping behaviors: a) Identify the various attributes of chatbot that bears an impression on consumer shopping behavior. b) Evaluate the impact of chatbot on consumer shopping behavior that leads to the development of chatbot usage and adoption among the customer. </p><p> • Design/Methodology/Approach – For the purpose of analysis, author has administered Factor analysis and Multiple regression using SPSS version 23 for identification of various attributes of Chatbot and knowing their impact on shoppers. A self-administered questionnaire from the review of literature is developed. Industry experts in the field of retailing and academician evaluate the questionnaire. Primary information from the respondents is gathered using this questionnaire. The questionnaire comprises of Likert scale on a scale of 1 to 5 where 1 stands for strongly disagree and 5 stands for strongly agree. Data is collected from 126 respondents, out of which 111 respondents were finally considered for study and analysis purpose. </p><p> • Findings – The empirical results show that the study identifies various attributes of chatbot like Trust, Usefulness, Satisfaction, Readiness to Use and Accessibility. It is also found that chatbot is really influencing the customers in providing them with shopping experience, which can be very helpful to the businesses for increasing the sales and creating repurchase intention among the customers. </p><p> • Originality/value – The recent research on chatbot pay little attention to the impact it is creating on customers who are actually interacting with it on regular basis. The research paper extends information for understanding and appreciating the customer oriented attributes of artificially intelligent Chatbot. In this regard, the author has developed a model framework and proposed the attributes identified. Through the work, author is also making an effort to test empirically the impact of the identified attributes on the shoppers.

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