LOW TEMPERATURE SPERM SELECTION METHOD TO SUPPORT BOVINE BREEDING INDUSTRY

2016 ◽  
Vol 78 (5-9) ◽  
Author(s):  
Tatag Lindu Bhakti ◽  
Adhi Susanto ◽  
Paulus Insap Santosa ◽  
Diah Tri Widayati
Keyword(s):  
Motion Detection ◽  
Selection Process ◽  
Selection Method ◽  
Detection Sensitivity ◽  
Sperm Selection ◽  
Bovine Sperm ◽  
Intracellular Ice ◽  
Motion Performance ◽  
Detection Software ◽  
Holding Temperature

This research proposed novel bovine sperm selection method based on sperm motility parameter to support bovine breeding industry. Sperm selection method consists of three main processes. First, decrease and holdbovine semen temperature at 4oC to reduce average sperm motility.Second, determine targeted sperm location which has highest motility within objective’s field of view after general motility observed decreasedinto 5% from initial value.Third, track targeted sperm and maintain holding temperature continuously until targeted sperm immotile and ready to be aspirated. Testing result showstemperature controller prototype can decrease bovine semen temperature safely without generate any intracellular ice. Micro actuator prototype can provide high motion performance exceed bovine sperm average velocity so it fully supporting motion detection software to perform real time bovine sperm tracking. Autofocus mechanism was succeedingincrease motion detection sensitivity using 4X, 10X and 40X objectives lens. All prototype devices developed in this research provide safely selection process to achieve high quality bovine sperm.

scholarly journals Comparing the Performance of Algorithm with Relevant Features for Histological Categorization of Lung Cancer

2021 ◽  
Vol 12 (2) ◽  
pp. 357-363
Author(s):  
V. NishaJenipher , Et. al.
Keyword(s):  
Lung Cancer ◽  
Selection Process ◽  
Feature Selection Method ◽  
Wrf Model ◽  
Selection Method ◽  
Classification Algorithm ◽  
Prediction Algorithm ◽  
Long Period ◽  
The World ◽  
Performance Of Algorithm

Due to increasing cancer cases around the world, Lung cancer has become the favorite topic of research for a long period of time. The actual reason is due to the increasing rate of new cases across the globe. Therefore, many researchers used prediction or classification algorithm to identify the factors that contribute to the increase of this deadly disease. Two models were built namely WRF and RF. RF model provides the result of features selected by a predominant feature selection method whereas WRF model provides result of all features without performing any selection process. A comparison is made to inform the importance of selecting the feature for classification or prediction algorithm. The accuracy provided by WRF model is higher than RF model which highlights the importance of selecting the feature for classification algorithm.  

scholarly journals Pola Seleksi Berdasarkan Minat dan Bakat pada Calon Tenant Wirausaha Fakultas Bioindustri Universitas Trilogi

2019 ◽  
Vol 1 (2) ◽  
pp. 45
Author(s):  
Maulidian Maulidian ◽  
Inanpi Hidayati Sumiasih ◽  
Mutiara Dewi Puspitawati ◽  
Indri Indrawan
Keyword(s):  
Selection Process ◽  
Capacity Development ◽  
Selection Method ◽  
Food Science ◽  
Technology Study ◽  
Entrepreneurship Development ◽  
Selection Interview ◽  
Study Programs ◽  
Proposal Selection ◽  
Development Center

Interest-and-Talent-Based Method of Selection in Prospective Entrepreneur at the Faculty of Bioindustry, Trilogi University This program was aimed to determine the selection process based on interests and talents carried out by Bioindustry Entrepreneurship Capacity Development Center (called as PPKWB). This paper can be useful as a reference for conducting the selection process for prospective entrepreneurs in other entrepreneurship development centers. The selection method carried out by PPKWB consisted of 3 stages, namely proposal selection, interview selection, and psychological testing. The result of those activities was 12 selected tenants consisting of groups and individuals as well from 26 tenants registered and participated in the 2019 PPKWB program. The twelve tenants were divided into two, namely individual tenants and group tenants. Group tenants consisted of 2-3 members. The tenants came from several study programs consists of agribusiness, agroecotechnology, and food science and technology study programs. The focus areas of each tenant were food, agriculture, and cosmetics.

LED for hyperspectral imaging – a new selection method

2018 ◽  
Vol 63 (5) ◽  
pp. 529-535 ◽  
Author(s):  
Tobias Heimpold ◽  
Frank Reifegerste ◽  
Stefan Drechsel ◽  
Jens Lienig
Keyword(s):  
Hyperspectral Imaging ◽  
Power Distribution ◽  
Spectral Power ◽  
Selection Process ◽  
Selection Method ◽  
Light Emitting ◽  
Spectral Power Distribution ◽  
Forward Current ◽  
Efficient Selection ◽  
Selection Of

AbstractHyperspectral imaging (HSI) has become a sophisticated technique in modern applications such as food analyses, recycling technology, medicine, pharmacy and forensic science. It allows one to analyse both spatial and spectral information from an object. But hyperspectral cameras are still expensive due to their extended wavelength range. The development of new light-emitting diodes (LED) in the recent past enables another approach to HSI using a monochrome camera in combination with a LED-based illumination. However, such a system has a lower spectral resolution. Additionally, the growing supply of LED on the market complicates the selection of LED. In this paper, we propose a new time efficient selection method for the design process of an illumination. It chooses an optimised LED combination from an existing database to match a predefined spectral power distribution. Therefore, an algorithm is used to evaluate various LED combinations. Furthermore, the method considers the spectral behaviour of each LED in dependence of forward current and temperature of the solder point. Our method has already shown promise during the selection process for even spectral distributions which is demonstrated in the study. Additionally, we will show its potential for HSI illuminations.

Influence of sperm fertilising concentration, sperm selection method and sperm capacitation procedure on the incidence of numerical chromosomal abnormalities in IVF early bovine embryos

2015 ◽  
Vol 27 (2) ◽  
pp. 351 ◽  
Author(s):  
Sebastián Demyda-Peyrás ◽  
Jesús Dorado ◽  
Manuel Hidalgo ◽  
Miguel Moreno-Millán
Keyword(s):  
Chromosomal Abnormalities ◽  
Selection Method ◽  
Sperm Selection ◽  
Bovine Embryos ◽  
Sperm Capacitation ◽  
Related Factors ◽  
Selection Technique ◽  
Key Factor ◽  
Sequential Experiments

The occurrence of numerical chromosomal aberrations, widely described as a major cause of mortality in in vitro-produced (IVP) embryos, has been linked to several factors. In the present study we investigated the effect of sperm fertilising concentration and semen handling (sperm selection and capacitation) before IVF on the rate of numerical chromosomal abnormalities in bovine embryos. In all, 466 IVP cattle embryos were karyotyped throughout three sequential experiments, analysing the effects of sperm fertilising concentration (0.1, 1.0 or 10 × 106 spermatozoa mL–1), selection method (unselected or Percoll-selected spermatozoa) and capacitation medium (bovine serum albumin (BSA), heparin or their combination). The percentage of normal (diploid) and aberrant (haploid, polyploid or aneuploid) embryos was noted in each experiment. The rate of numerical chromosomal abnormalities was mainly affected by sperm fertilising concentration (P < 0.01) and, to a lesser extent, by the sperm capacitation medium (P < 0.05). Polyploidy and haploidy rates were only affected by sperm fertilising concentration (P < 0.05). Interestingly, the sperm selection technique used in the present study did not reduce the incidence of chromosome abnormalities in IVP cattle embryos (P > 0.05). Finally, aneuploidy rates were not affected during the experiments (P > 0.05), which suggests that they are not related to sperm-related factors. On the basis of these results, we conclude that sperm fertilising concentration is the ‘paternal’ key factor that affects the rate of numerical chromosomal abnormalities in IVP bovine embryos. By making small adjustments to fertilising protocols, the rate of cytogenetically aberrant embryos can be markedly reduced.

A Novel Feature Selection Method for Process Fault Diagnosis

2013 ◽  
Vol 427-429 ◽  
pp. 2045-2049
Author(s):  
Chun Mei Yu ◽  
Sheng Bo Yang
Keyword(s):  
Feature Selection ◽  
Fault Diagnosis ◽  
Sparse Representation ◽  
Selection Process ◽  
Feature Selection Method ◽  
Principal Component ◽  
Selection Method ◽  
Fault Classification ◽  
Process Data ◽  
Bhattacharyya Distance

To increase fault classification performance and reduce computational complexity,the feature selection process has been used for fault diagnosis.In this paper, we proposed a sparse representation based feature selection method and gave detailed procedure of the algorithm. Traditional selecting methods based on wavelet package decomposition and Bhattacharyya distance methods,and sparse methods, including sparse representation classifier, sparsity preserving projection and sparse principal component analysis,were compared to the proposed method.Simulations showed the proposed selecting method gave better performance on fault diagnosis with Tennessee Eastman Process data.

Sperm selection method enhances embryo development.

2001 ◽  
Vol 76 (3) ◽  
pp. S74
Author(s):  
J.M. Nani ◽  
J.G. Brasch ◽  
R. Summers ◽  
R. Springer ◽  
R. Jeyendran
Keyword(s):  
Embryo Development ◽  
Selection Method ◽  
Sperm Selection

scholarly journals KINERJA PENILAIAN INDIVIDU MENGGUNAKAN ANALISIS KATEGORI YANG TEPAT DALAM PROSES PEMILIHAN KARYAWAN

2018 ◽  
Vol 2 (1) ◽  
pp. 262-269
Author(s):  
Angga Widi ◽  
Eko Wahyu N ◽  
Ahedi Syukro
Keyword(s):  
Focus Group ◽  
Focus Group Discussion ◽  
Selection Process ◽  
Group Discussion ◽  
Employee Selection ◽  
Selection Method ◽  
Categorical Method ◽  
Important Activity

For employers the process of employee selection is an important activity in the effort to get a workforce or adequate workers in receiving assignments to perform certain types of work. Many methods can be used in the employee selection process, one such method is category analysis. Whatever type of selection method, of course the company expects to achieve an accurate selection results. In writing this article the researcher wants to show one form of application of the method so that the selection result can give a picture of transparent result. This method is numerical using a score approach through a focus group discussion process. This categorical method is no less accurate than other similar methods in the recruitment selection process of employees in the company because it is quite objective.

scholarly journals Transition to a Competitive Consultant Selection Method: A Case Study of a Public Agency in Israel

10.28945/4891 ◽  
2021 ◽  
Vol 16 ◽  
pp. 491-503
Author(s):  
Amichai Mitelman ◽  
Yahel Giat
Keyword(s):  
Data Storage ◽  
Selection Process ◽  
Selection Method ◽  
Competitive Bidding ◽  
Future Research ◽  
Sources Of Information ◽  
Qualitative Comparison ◽  
Competitive Selection ◽  
Selection Of

Aim/Purpose: This paper reports a case study of organizational transition from a non-competitive selection method to a novel bidding method for the selection of consultants in the Architectural and Engineering (A/E) industry. Background: Public procurement agencies are increasingly relying on external consultants for the design of construction projects. Consultant selection can be based on either competitive bidding, or quality-based criteria, or some combination between these two approaches. Methodology: Different sources of information were reviewed: internal documents, and quantitative data from the enterprise software platform (ERP). In addition, informal and unstructured interviews were conducted with relevant officials. Contribution: As there are mixed opinions in the scientific literature regarding the use of competitive bidding for the selection of consultants in the A/E industry, this paper contributes a detailed review of a transition to a competitive selection method and provides a financial and qualitative comparison between the two methods. In addition, the method implemented is novel, as it delegates most of the responsibility of hiring and managing consultants to one main contractor. Findings: While the new selection method was intended to reduce bureaucratic overload, it has unexpectedly also succeeded to reduce costs as well. Recommendations for Practitioners: It may be more efficient and profitable to adopt the selection method described in this study. Recommendation for Researchers: Similar methods can be applied to other industries successfully. Impact on Society: Our method was applied in a public organization and resulted in a better outcome, both financial and managerial. Adopting this approach can benefit public budgets. Future Research: The selection, data storage, and analysis methods are interrelated components. Future analysis of these components can help better shape the consultant selection process.

scholarly journals THE RELATIONSHIPS OF STUDENTS ADMISSION PROCESS AND ACADEMIC ACHIEVEMENT

2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Asty Amalia Nurhadi ◽  
Shelly Salmah ◽  
Muhammad Nasrum Massi ◽  
Firdaus Kasim
Keyword(s):  
Academic Achievement ◽  
International Students ◽  
Selection Process ◽  
Medical Schools ◽  
Selection Method ◽  
Admission Process ◽  
Selection Processes ◽  
Significant Difference ◽  
Post Hoc ◽  
One Way Anova

Background: The selection process in medical schools should be able to identify individuals that mostprobably will successfully complete their education. In Faculty of Medicine Hasanuddin University (FMHU)the selection processes are Seleksi Nasional Masuk Perguruan Tinggi Negeri), SBMPTN (Seleksi BersamaMasuk Perguruan Tinggi Negeri), JNS (Jalur Non Subsidi) and International students. Looking at the variousselection methods in FMHU, this study aimed to see how each selection method related with students’academic achievement.Methods: This study compared academic achievement in two semesters at three academic admission students(2014, 2015 and 2016), for four admission processes. The data consist of 308 students from batch of 2014, 308students from batch of 2015, and 320 students from batch of 2016. The analysis was conducted in descriptiveanalysis, One Way ANOVA, and followed by Post-hoc Bonferroni Test.Results: There was significant difference of students GPA for each type of admission. The highest academicachievement was obtained by students from International and SNMPTN admission while the lowest academicachievement was obtained by students from SBMPTN and JNS.Conclusion: Students from International and SNMPTN admission had the highest academic achievementcompared to SBMPTN and JNS. This study showed that there should be an evaluation of the assessment usedin SBMPTN and to continue the use of SNMPTN as one of the main admission route at FMHU. 

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