1988 ◽  
Vol 20 (1) ◽  
pp. 237-240 ◽  
Author(s):  
A. M. Abouammoh ◽  
A. N. Ahmed

A new concept of ageing distribution, namely new better than used in failure rate (NBUFR), is introduced. Different properties of the NBUFR class and its dual class are presented. Its relations to other classes of life distributions are investigated. Finally, NBUFR survival under shock models is discussed.


1976 ◽  
Vol 27 (5) ◽  
pp. 729
Author(s):  
MA Price

A trial is reported with eight steers in a 2 x 2 factorial design to compare the effects of weight loss in two maturity types of steers, Charolais x Hereford (C x H) and purebred Hereford /H x H), having similar estimated initial carcass fat contents (30% and 32% respectively) but different liveweights (402 kg v. 332 kg). The steers were aged about 61 weeks at the beginning of the trial, when a pair of C x H and of H x H steers (group 1) were slaughtered. The initial body composition was established by sample cut dissection and half-carcass chemical analysis. The remaining two pairs of steers (group 2) here slaughtered and analysed following 234 days of grossly submaintekmce feeding. During the submaintenance period the C x H steers lost considerably more liveweight (134 kg v. 107 kg) than the H x H steers; however, the percentage loss was similar in all four steers. All cattle consumed identical weights of feed. It is estimated that in losing about 30% of their initial liveweight, the four steers lost about 40% of their carcass weight and 20% of their offal weight, regardless of initial liveweight differences. The carcass loss in both breeds consisted of about 70% of the initial fat weight, 40% of the muscle weight, and less than 10% of the bone weight. Breed differences in the distribution of carcass tissues and retail cuts were small and generally not significant. Three classes of body components are defined and listed: class 1, those which lost weight at a relatively greater rate than the carcass; class 2, at a similar rate; class 3, at a slower rate. Estimated 'negative growth coefficients' (k in the allometric equation y = bxk) for carcass, offal, bone, muscle and fat weights, relative to liveweight, were about 1.4, 0.5, < 0.25, 1.3 and > 3.0 respectively.


Optik ◽  
2013 ◽  
Vol 124 (13) ◽  
pp. 1595-1600 ◽  
Author(s):  
G.K. Mishra ◽  
R. Biswal ◽  
Sachin Agrawal ◽  
Om Prakash ◽  
S.K. Dixit

2021 ◽  
Vol 8 (3) ◽  
pp. 595
Author(s):  
Imam Cholissodin ◽  
Felicia Marvela Evanita ◽  
Jeffrey Junior Tedjasulaksana ◽  
Kukuh Wicaksono Wahyuditomo

<p class="Abstrak">COVID-19 atau <em>Coronavirus Disease</em> 2019 merupakan sebuah penyakit yang disebabkan oleh virus yang dapat menular melalui saluran pernapasan pada hewan atau manusia dan menyebabkan ribuan orang meninggal hampir di seluruh dunia, sehingga dinyatakan sebagai sebuah pandemi di banyak negara, termasuk di Indonesia. Kasus COVID-19 pertama kali ditemukan di Indonesia pada tanggal 2 Maret 2020, dalam menangani pandemi COVID-19 pemerintah menerapkan <em>social distancing </em>dengan menjaga jarak antara satu sama lain sejauh lebih dari 1 meter dan menerapkan protokol kesehatan yang telah diatur saat melakukan aktivitas di luar rumah sesuai anjuran <em>World Health Organization</em> (WHO). Rendahnya kesadaran masyarakat Indonesia dalam menerapkan <em>social distancing</em> dan protokol kesehatan menyebabkan bertambahnya kasus positif COVID-19 di Indonesia secara signifikan sehingga banyak korban yang meninggal, oleh karena itu pada penelitian ini kami membuat sistem klasifikasi tingkat laju data COVID-19 untuk mitigasi penyebaran di seluruh provinsi di Indonesia dengan menggunakan metode <em>Modified K-Nearest Neighbor </em>(MKNN) dengan hasil keluaran berupa kelas laju penyebaran yaitu laju penyebaran rendah yang artinya mitigasi penybarannya tinggi, kemudian kelas laju penyebaran sedang yang artinya mitigasi penyebarannya sedang, dan laju penyebaran tinggi yang berarti mitigasi penyebaran rendah dan dijelaskan lebih lanjut pada bagian metodologi penelitian. Hasil keluaran dari sistem bertujuan untuk meningkatkan kesadaran masyarakat Indonesia dalam mencegah COVID-19 dengan melihat kelas laju penyebaran pada masing-masing provinsi di Indonesia. Alasan penggunaan metode <em>Modified K-Nearest Neighbor </em>pada penelitian ini adalah karena metode <em>Modified K-Nearest Neighbor </em>merupakan salah satu metode klasifikasi yang cukup baik, dimana pada metode ini dilakukan pemvalidasian dan pembobotan yang bobot nya ditentukan dengan menghitung fraksi dari tetangga berlabel yang sama dengan total jumlah tetangga.<em> </em>Parameter yang digunakan dalam proses klasifikasi adalah jumlah kasus positif, jumlah orang yang sembuh, dan jumlah orang yang meninggal akibat COVID-19. Data yang digunakan pada penelitian ini berasal dari situs resmi kementerian kesehatan republik Indonesia yang dapat diakses pada link <a href="https://infeksiemerging.kemkes.go.id/">https://infeksiemerging.kemkes.go.id/</a> dengan jumlah data latih sebanyak 374 data pada tanggal 12 Mei 2020 sampai 22 Mei 2020  dan data uji sebanyak 136 data pada tanggal 23 Mei 2020 sampai tanggal 26 Mei 2020 , hasil akurasi yang dihasilkan adalah 97,79% dengan nilai <em>K</em> = 3.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstract"><em>COVID-19 or Coronavirus 2019 is a disease caused by a virus that can be transmitted through the respiratory tract to animals or humans and causes more people to die around the world, making it a pandemic in many countries, including Indonesia. COVID-19 cases were first discovered in Indonesia on March 2, 2020. Under the COVID-19 pandemic agreement, the government imposed a social grouping with a grouping of more than 1 meter apart from one another and the transfer of related health protection when carrying out activities outside the home as directed by the World Health Organization(WHO). Considering the Indonesian people in implementing social preservation and protecting health policies increase the positive acquisition of COVID-19 in Indonesia significantly related to the number of victims who died, therefore in this study, we created a COVID-19 data level assessment system for transfer mitigation in all provinces in Indonesia by using the Modified K-Nearest Neighbor (MKNN) method with the output in the form of a spread rate class, namely a low spread rate which means that the spread mitigation is high, then the medium spread rate class which means the spread mitigation is moderate, and the spread rate is high which means low spread mitigation which is further explained in the section on the research methodology. The purpose of the system output is to increase the awareness of the Indonesian people in preventing COVID-19. The parameters used in the classification process are the number of positives, the number of people recovered, and the number of people died by COVID-19 by looking at the class distribution rate in each province in Indonesia. The reason for using the Modified K-Nearest Neighbor method in this research is because the Modified K-Nearest Neighbor method is a fairly good classification method, where this method is validated and weighted whose weight is determined by calculating the fraction of neighbors labeled the same as the total of  neighbors number. The data used in this study was released from the official website of the Ministry of Health of the Republic of Indonesia which can be accessed at the link <span style="text-decoration: underline;">https://infection.infemerging.kemkes.go.id/</span> with a total of 374 training data from May 12, 2020 to May 22, 2020 and test data As many as 136 data from 23 May 2020 to 26 May 2020, the resulting accuracy was 97.79% with a K = 3.</em></p>


2000 ◽  
Vol 66 (7) ◽  
pp. 2928-2933 ◽  
Author(s):  
Clint M. Arnett ◽  
Juan V. Parales ◽  
John D. Haddock

ABSTRACT Biphenyl dioxygenase from Burkholderia(Pseudomonas) sp. strain LB400 catalyzes the first reaction of a pathway for the degradation of biphenyl and a broad range of chlorinated biphenyls (CBs). The effect of chlorine substituents on catalysis was determined by measuring the specific activity of the enzyme with biphenyl and 18 congeners. The catalytic oxygenase component was purified and incubated with individual CBs in the presence of electron transport proteins and cofactors that were required for enzyme activity. The rate of depletion of biphenyl from the assay mixture and the rate of formation ofcis-biphenyl 2,3-dihydrodiol, the oxidation product, were almost equal, indicating that the assay accurately measured enzyme-specific activity. Four classes of CBs were defined based on their oxidation rates. Class I contained 3-CB and 2,5-CB, which gave rates that were approximately twice that of biphenyl. Class II contained 2,5,3′,4′-CB, 2,3,2′,5′-CB, 2,3,4,5-CB, 2,3,2′,3′-CB, 2,4,5,2′,5′-CB, 2,5,3′-CB, 2,5,4′-CB, 2-CB, and 3,4,5-CB, which gave rates that ranged from 97 to 35% of the biphenyl rate. Class III contained only 2,3,4,2′,5′-CB, which gave a rate that was 4% of the biphenyl rate. Class IV contained 2,4,4′-CB, 2,4,2′,4′-CB, 3,4,5,2′-CB, 3,4,5,3′-CB, 3,5,3′,5′-CB, and 3,4,5,2′,5′-CB, which showed no detectable depletion. Rates were not significantly correlated with the aqueous solubilities of the CBs or the number of chlorine substituents on the rings. Oxidation products were detected for all class I, II, and III congeners and were identified as chlorinatedcis-dihydrodiols for classes I and II. The specificity of biphenyl dioxygenase for the CBs examined in this study was determined by the relative positions of the chlorine substituents on the aromatic rings rather than the number of chlorine substituents on the rings.


1988 ◽  
Vol 20 (01) ◽  
pp. 237-240 ◽  
Author(s):  
A. M. Abouammoh ◽  
A. N. Ahmed

A new concept of ageing distribution, namely new better than used in failure rate (NBUFR), is introduced. Different properties of the NBUFR class and its dual class are presented. Its relations to other classes of life distributions are investigated. Finally, NBUFR survival under shock models is discussed.


Chemosensors ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 115
Author(s):  
Sara Gaggiotti ◽  
Marcello Mascini ◽  
Angelo Cichelli ◽  
Michele Del Carlo ◽  
Dario Compagnone

A hairpin DNA (hpDNA) piezoelectric gas sensors array with heptamer loops as sensing elements was designed, realized, and challenged with pure volatile organic compounds VOCs and real samples (beer). The virtual binding versus five chemical classes (alcohols, aldehydes, esters, hydrocarbons, and ketones) of the entire combinatorial library of heptamer loops (16,384 elements) was studied by molecular modelling. Six heptamer loops, having the largest variance in binding the chemical classes, were selected to build the array. The six gas sensors were realized by immobilizing onto gold nanoparticles (AuNPs) via a thiol spacer the hpDNA constituted by the heptamer loops and the same double helix stem of four base pairs (GAAG at 5′ and CTTC at 3′ end). The HpDNA-AuNP was used to modify the surface of 20 MHz quartz crystal microbalances (QCMs). The realized E-nose was able to clearly discriminate among 15 pure VOCs of different chemical classes, as demonstrated by hierarchical cluster analysis. The analysis of real beer samples during fermentation was also carried out. In such a challenging matrix consisting of 23 different VOCs, the hpDNA E-nose with heptamer loops was able to discriminate among different fermentation times with high success rate. Class assignment using the Bayes theorem gave an excellent 98% correct beer samples classification in cross-validation.


2014 ◽  
Vol 56 (4) ◽  
pp. 999-1013 ◽  
Author(s):  
Paulo E. Oliveira ◽  
Nuria Torrado
Keyword(s):  

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