scholarly journals Discriminant Canonical Analysis as a Validation Tool for Multivariety Native Breed Egg Commercial Quality Classification

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 632
Author(s):  
Antonio González Ariza ◽  
Ander Arando Arbulu ◽  
Francisco Javier Navas González ◽  
Juan Vicente Delgado Bermejo ◽  
María Esperanza Camacho Vallejo
Keyword(s):  
Egg Quality ◽  
Two Dimensions ◽  
Canonical Analysis ◽  
Control Group ◽  
Variance Inflation Factor ◽  
Native Breed ◽  
Quality Classification ◽  
Wilks Lambda ◽  
Inflation Factor ◽  
Quality Categories

This study aimed to develop a tool to validate multivariety breed egg quality classification depending on quality-related internal and external traits using a discriminant canonical analysis approach. A flock of 60 Utrerana hens (Franciscan, White, Black, and Partridge) and a control group of 10 Leghorn hens were placed in individual cages to follow the traceability of the eggs and perform an individual internal and external quality assessment. Egg groups were determined depending on their commercial size (S, M, L, and XL), laying hen breed, and variety. Egg weight, major diameter, minor diameter, shell b*, albumen height, and the presence or absence of visual defects in yolk and/or albumen showed multicollinearity problems (variance inflation factor (VIF) > 5) and were discarded. Albumen weight, eggshell weight, and yolk weight were the most responsible traits for the differences among egg quality categories (Wilks’ lambda: 0.335, 0.539, and 0.566 for albumen weight, eggshell weight, and yolk weight, respectively). The combination of traits in the first two dimensions explained 55.02% and 20.62% variability among groups, respectively. Shared properties between Partridge and Franciscan varieties may stem from their eggs presenting heavier yolks and slightly lower weights, while White Utrerana and Leghorn hens’ similarities may be ascribed to hybridization reminiscences.

scholarly journals Application of Selenium Conjugated to Animal Protein in Laying Hens’ Diet for the Production of Selenium-Enriched Eggs

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1224
Author(s):  
Kai Qiu ◽  
Youbiao Ma ◽  
Uchechukwu Edna Obianwuna ◽  
Jing Wang ◽  
Haijun Zhang ◽  
...  
Keyword(s):  
Laying Hens ◽  
Egg Quality ◽  
Intestinal Morphology ◽  
Feed Additive ◽  
Control Group ◽  
Organic Selenium ◽  
Positive Effects ◽  
Enhanced Production ◽  
Immune Capacity ◽  
Biochemical Indices

The current experiment was conducted to investigate the application effects of selenium conjugated to insect protein (SCIP) in the production of selenium-enriched eggs. A total of 450 laying hens were randomly assigned to five dietary groups, each group consisting of six replicates. Hens in the control group received a diet without selenium supplementation, whereas hens in the other four groups received diets supplemented with either 1, 2, 5, or 10 mg/kg of selenium from SCIP. The productive performance, egg quality, antioxidant and immune capacity, biochemical indices, intestinal morphology, and oviduct health of laying hens were evaluated. The results showed that the supplementation of organic selenium provided by SCIP in the diets of laying hens enhanced performance and egg quality without any toxicity effect, even at the 10 mg/kg inclusion level. A level of 2 mg/kg of selenium provided by SCIP in diets tentatively improved the serum antioxidant and immune capacity, intestinal development, and oviduct health of laying hens in a conspicuous manner. Hence, the biosafety and positive effects of SCIP as a feed additive supplement in laying hens’ diet have been demonstrated with the enhanced production of safe and selenium-enriched eggs.

Author response for "Variable selection in support vector regression using angular search algorithm and variance inflation factor"

2020 ◽  
Author(s):  
Gabriely S. Folli ◽  
Márcia H.C. Nascimento ◽  
Ellisson H. de Paulo ◽  
Pedro H.P. da Cunha ◽  
Wanderson Romão ◽  
...  
Keyword(s):  
Variable Selection ◽  
Support Vector Regression ◽  
Search Algorithm ◽  
Author Response ◽  
Support Vector ◽  
Variance Inflation Factor ◽  
Inflation Factor

Aflatoxin B1 and Clinoptilolite in Feed for Laying Hens: Effects on Egg Quality, Mycotoxin Residues in Livers, and Hepatic Mixed-Function Oxygenase Activities

2003 ◽  
Vol 66 (5) ◽  
pp. 860-865 ◽  
Author(s):  
L. RIZZI ◽  
M. SIMIOLI ◽  
P. RONCADA ◽  
A. ZAGHINI
Keyword(s):  
Cytochrome P450 ◽  
Lipid Metabolism ◽  
Aflatoxin B1 ◽  
Laying Hens ◽  
Egg Quality ◽  
Diet Group ◽  
Control Group ◽  
Complete Diet ◽  
Group 2 ◽  
Mixed Function Oxygenase

Ninety-six laying hens were allocated to four groups administered different diets (group 0-0 received a complete diet, group 0-AF received a diet supplemented with 2.5 ppm of aflatoxin B1 [AFB1], group 2-0 received a diet supplemented with 2% clinoptilolite [CPL], and group 2-AF received a diet supplemented with 2% CPL and 2.5 ppm of AFB1) for 4 weeks to evaluate the effect of AFB1 and/or CPL on egg quality and the ability of CPL to interact with the oral administration of AFB1. The possible effects of AFB1 on cytochrome P450–dependent hepatic mixed-function oxygenase (MFO) activities were also evaluated. Mycotoxin reduced yolk weight, while CPL influenced albumen percentage relative to that of eggs laid by chickens in group 0-AF. Eggs laid by chickens in groups 0-AF and 2-AF had stronger shells and weighed less than the eggs of other groups. The eggs of treated groups were lighter in color than those of the control group (P < 0.01), and the tendency to yellowness in eggs was increased by CPL, probably through the affinity of red pigments for adsorbents and a consequent prevalence of yellow tonality. Color parameters might be connected with AFB1's interference with lipid metabolism and pigment deposition. The livers of hens in groups 0-AF and 2-AF showed very low mycotoxin concentrations that were significantly different (P < 0.01). The highest levels observed were those in the livers of the hens receiving the diet supplemented with the mycotoxin alone. AFB1 did not exert any significant effects on the hepatic MFO activities examined.

scholarly journals Pengaruh meas berbantuan geogebra terhadap kemampuan pemahaman konsep dan disposisi matematika siswa

2021 ◽  
Vol 10 (2) ◽  
pp. 243
Author(s):  
Made Dwi Savitri ◽  
I Gusti Putu Sudiarta ◽  
Sariyasa Sariyasa
Keyword(s):  
Random Sampling ◽  
Control Group ◽  
Control Group Design ◽  
Group Design ◽  
Model Eliciting Activities ◽  
Wilks Lambda ◽  
Post Test ◽  
Cluster Random Sampling

<p class="JRPMAbstrakTitle">Abstrak</p>Penelitian ini bertujuan untuk mengetahui apakah pendekatan Model Eliciting Activities (MEAs) berbantuan Geogebra berpengaruh terhadap kemampuan pemahaman konsep  dan disposisi matematika siswa. Penelitian ini merupakan eksperimen dengan post-test only control group design pada populasi yang terdiri 132 siswa kelas VIII SMP Taman Pendidikan 45 Denpasar yang tersebar dalam 4 kelas. Penarikan sampel menggunakan cluster random sampling  dan ditetapkan kelas VIIIA dan VIIIC sebagai sampel penelitian. Data  penelitian berupa data pemahaman konsep dan disposisi matematika dikumpulkan masing-masing dengan tes uraian dan angket yang selanjutnya dianalisis dengan Uji Manova dengan taraf signifikansi 5%. Hasil analisis data menunjukan bahwa  nilai F dari uji wilks lambda sama dengan 5,656, dengan nilai signifikansi 0,023. Jika nilai signifikansi 0,023 dibandingkan dengan alpha 0,05, maka nilai tersebut jauh lebih kecil, sehingga dapat diputuskan Ho ditolak. Oleh karena itu, hasil eksperimen ini menunjukkan bahwa Pendekatan MEAs berbantuan Geogebra berpengaruh terhadap kemampuan pemahaman konsep dan disposisi matematika siswa.

Model-Dependent Variance Inflation Factor Cutoff Values

2002 ◽  
Vol 14 (3) ◽  
pp. 391-403 ◽  
Author(s):  
Trevor A. Craney ◽  
James G. Surles
Keyword(s):  
Variance Inflation Factor ◽  
Cutoff Values ◽  
Inflation Factor

Uji Statistika Kualitas Pelayanan Bagi Wisatawan Difabel Pada Wisata Bahari (Studi Kasus Daerah Wisata Desa Suli)

2020 ◽  
Vol 18 (1) ◽  
pp. 43
Author(s):  
Agung K Henaulu ◽  
Sony Ardian
Keyword(s):  
P Value ◽  
Variance Inflation Factor ◽  
Kolmogorov Smirnov ◽  
Inflation Factor

Tujuan dari penelitian ini adalah untuk menguji kualitas pelayanan pengelola wisata bahari daerah desa Suli dengan pendekatan uji statistika. Dengan hipotesis apakah variabel independen responsivenes, reliabilit, assurance, emphaty, tangibles berpengaruh positif (signifikan) terhadap kualitas pelayanan, dan apakah seluruh variabel independen tersebut secara simultan bersama-sama berpengaruh positif terhadap kualitas pelayanan. Saat ini kebutuhan berwisata menjadi kebutuhan penting, sebab dengan berwisata diperoleh pengalaman, informasi, dan pengetahuan baru. Semua itu bisa diperoleh, manakala layanan yang diberikan pengelola sangat berkesan, khususnya wisatwan difabel. Hasil penelitian menunjukkan bahwa uji reliabilitas dengan nilai spearman-brown adalah 0,9352 sehingga masuk kategori sangat tinggi. Uji normalitas menggunakan metode Kolmogorov-Smirnov dan Jarque-Bera memiliki nilai p-value masing-masing adalah 0,779 dan 0,809 > 0,05 maka asumsi data terpenuhi. Uji mutikoliniieritas menunjukkan nilai variance inflation factor memiliki nilai < 10 maka tidak terjadi multikolinieritas. Uji homoskedastisitas terpenuhi dengan nilai p-value (sig) seluruh variabel independen > 0,05. Uji non-autocorrelation menggunakan Durbin-Watson dengan range nilai adalah 1 – 3 yakni 2,36. Uji koefisien determinasi dihasilkan bilai koefisien determinasi sebesar 0,8042 sangat mendekati nilai atau jauh dari nilai 0. Dan pada uji F, nilai p-value­ memiliki tingkat signifikansi < 0,05, maka seluruh variabel independen secara bersama-sama mempengaruhi variabel dependen.

Abstract 14101: A Correction Score for Comparison of Aortic Calcification in Post-contrast and Non-contrast Measurements From Computed Tomography Scans

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Steven R Horbal ◽  
Edward Brown ◽  
Brian A Derstine ◽  
Peng Zhang ◽  
Andrea H Rossman ◽  
...  
Keyword(s):  
Pearson Correlation ◽  
Aortic Calcification ◽  
University Of Michigan ◽  
Variance Inflation Factor ◽  
Post Contrast ◽  
Abdominal Aortic ◽  
Pixel Value ◽  
Inflation Factor ◽  
The University ◽  
The Relationship

Introduction: Aortic calcification can be utilized to assess cardiovascular risk. While contrast is useful for vascular enhancement in diagnostic imaging, enhancement creates heterogeneity between post and non-contrast scans and limits their direct comparability. Hypothesis: We hypothesized that post and non-contrast aortic calcification measures will correlate, and a correction score can be developed for statistical comparability. Methods: Retrospective CT-scans were obtained from the University of Michigan. Participants (N=330) received abdominal scans with and without contrast enhancement within 120 calendar days. Analytic Morphomics was used to obtain vertebral-indexed measurements of aortic calcium area, and aortic wall obfuscation percentage. Calcification was specifically identified as regions with a given morphology and pixel value five standard deviations above the defined central lumen zone. Pearson correlation and multiple linear regression were used to explain the relationship between aortic measurements with and without contrast. Regressions include calcification percent (Model 1), and area (Model 2). Independent variables were non-contrast measurements and dependent variables were contrast measurements, age, and sex. Results: Correlations of calcification percent ranged from 0.86 at T11 and 0.94 and L2. Correlations of calcification area ranged from 0.66 at T12 to 0.84 at L3. In Model 1, for every percent increase in post-contrast calcification, non-contrast calcification percent increased by 11% (β=1.11, p <0.001, R2=0.85). In Model 2, for every mm2 increase in post-contrast calcification area, non-contrast calcification area increased by 0.45 mm2 (β=1.45, p <0.001, R2=0.69). Variance inflation factor for Model 1 was 1.08 and 1.07 for Model 2. Conclusion: In conclusion, this research proposes a correction score for comparisons of abdominal aortic calcification measurements in post-contrast and non-contrast scans.

scholarly journals Impacts of a Care Robotics Project on Finnish Home Care Workers’ Attitudes towards Robots

2020 ◽  
Vol 17 (19) ◽  
pp. 7176
Author(s):  
Teemu Rantanen ◽  
Teppo Leppälahti ◽  
Jaakko Porokuokka ◽  
Sari Heikkinen
Keyword(s):  
Home Care ◽  
Elderly Care ◽  
Test Group ◽  
Home Care Services ◽  
Two Dimensions ◽  
Control Group ◽  
Care Services ◽  
Care Robots ◽  
Care Workers ◽  
Home Care Workers

Technological advances in elderly care have been rapid, and the introduction of robots in care will be a topical issue in the near future. There has been little research into the possibility of influencing care workers’ attitudes towards robots by project activities, and how to make the change easier for work communities. This study focuses on a robotics project that took place in elderly and home care services in one municipality in Finland (total of 45 care workers). During the project, four robotics workshops and one extended pilot session were implemented. The study follows quasi-experimental settings, and it included two measurements (before and after project activities) and a control group, but no randomization. The data were collected by questionnaires and were analyzed statistically. The project under study brought about minor positive changes in home care workers’ attitudes towards the usefulness of care robots. In the final measurement, the difference between the test group and the control group was significant in the two dimensions of positive attitudes. The research supports the hypothesis that project activities can be used to influence home care workers’ attitudes towards robots. This can also facilitate the introduction of care robots in home care services. However, the construction of a technology-positive care culture is a long-term process, which requires training and development, technological development and strong strategic management at various levels.

scholarly journals Growth control of herbaceous ground cover and egg quality from an integrated poultry-hazelnut orchard system

2020 ◽  
Author(s):  
Carlo Cosentino ◽  
Pierangelo Freschi ◽  
Simonetta Fascetti ◽  
Rosanna Paolino ◽  
Mauro Musto
Keyword(s):  
Egg Quality ◽  
Cynodon Dactylon ◽  
Growth Control ◽  
Alpha Diversity ◽  
Ground Cover ◽  
Control Group ◽  
Diversity Analysis ◽  
Positive Role ◽  
Vegetation Growth ◽  
The Impact

The present study was designed to assess the impact of hen grazing on plant biodiversity in the ground cover of hazelnut orchards, as well as the quality of eggs from hens grazing in the orchards. Two different sites of hazelnut orchards located in Basilicata region were selected to conduct this study. The results showed that hen grazing affected the composition of herbaceous stratum of the orchards. By using the quadrat method, a total of 99 (46 in site A and 53 in site B) plant species were identified at the beginning of the trial. After hen grazing, the number of identified plants dropped to 72 (30 in site A and 42 in site B). Amongst the most consumed species we found Lolium sp., Trifolium sp., Polygonum sp., Cichorium intybus, Cynodon dactylon. Alpha diversity analysis (species richness, diversity and evenness) as well as beta diversity analysis (Morisita-Horn and Sørensen indices) confirmed that hen grazing played a role in controlling vegetation growth. Concerning egg quality, most of the chemical parameters differed significantly when comparing the eggs from the sites with those from the control group, indicating that egg quality was influenced by the food resources available in each site. Overall, our results confirm that poultry may play a positive role in an orchard system.

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