Composition and nutritive value of grower diets (15–35 days).

Composition and nutritive value of grower diets (15–35 days).

<p>Composition and nutritive value of grower diets (15–35 days).</p>

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Bibliografische gegevens
Hoofdauteur:	Muhammad Rumman Aslam (22683482) (author)
Andere auteurs:	Bartosz Kierończyk (500220) (author), Piotr Szymkowiak (22683485) (author), Liliana Ciesielska (22683488) (author), Mateusz Rawski (500223) (author), Robert Mikuła (6595409) (author), Damian Józefiak (500219) (author)
Gepubliceerd in:	2025
Onderwerpen:	Biochemistry Microbiology Molecular Biology Biotechnology Ecology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified various dietary fats selected animal fats lefse analysis revealed inhibiting opportunistic pathogens broilers responds similarly broiler chicken nutrition hermetia illucens </ eubacterium coprostanoligenes </ clostridia vadin </ eight dietary groups 10 replicate pens 011 ), enterobacteriaceae 003 ), rhodospirillales 001 ), rikenellaceae ), rapeseed oil bsfl significantly reduced bsfl positively affects including ph determination div >< p 025 ), peptococcaceae 35 days ), including bsfl fat 35 days 025 ), shigella </ alistipes </ pl ), 10 birds 048 ), 032 ), 018 ), bsfl treatment bsfl increased bsfl fat pkfd groups upper part uncultured genus study design study aimed sole source significant reduction randomly assigned ngs ). gut ph generation sequencing findings suggest detected among cecal microbiota cecal microbiome cecal environment
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Effects of the inclusion of selected types of dietary fat in broiler chicken diets on the gastrointestinal tract pH.
door: Muhammad Rumman Aslam (22683482)
Gepubliceerd in: (2025)

Composition and nutritive value of starter diets (1–14 days).
door: Muhammad Rumman Aslam (22683482)
Gepubliceerd in: (2025)

Linear discriminant analysis effect size (LEfSe) at various taxonomic levels (kingdom (k), phylum (p), class (c), order (o), family (f), genus (g), and species (s)) for broiler chickens fed diets containing fats of plant, animal, and insect origin.
door: Muhammad Rumman Aslam (22683482)
Gepubliceerd in: (2025)

Linear discriminant analysis effect size (LEfSe) at various taxonomic levels (kingdom (k), phylum (p), class (c), order (o), family (f), genus (g), and species (s)) for broiler chickens fed diets containing fats of plant, animal, and insect origin.
door: Muhammad Rumman Aslam (22683482)
Gepubliceerd in: (2025)

Graphical representation of beta diversity analysis and bacterial abundance in broiler ceca.
door: Muhammad Rumman Aslam (22683482)
Gepubliceerd in: (2025)

(A) Venn diagram of the overlap among three groups (BSFL, plant oils, and animal fats); (B) UpSet plot representing the intersection of OTUs across eight experimental groups in the ceca of broiler chickens. BSFL – basal diet with 100% black soldier fly (<i>Hermetia illucens</i>) larval fat; plant oils (SO – basal diet with 100% soybean oil; RO – basal diet with 100% rapeseed oil; PO – basal diet with 100% palm oil; PKFD – basal diet with 100% palm kernel fat distillate); animal fats (PF – basal diet with 100% poultry fat; PL – basal diet with 100% pig lard; BT – basal diet with 100% beef tallow).
door: Muhammad Rumman Aslam (22683482)
Gepubliceerd in: (2025)

Diversity analysis of microbial communities in broiler ceca.
door: Muhammad Rumman Aslam (22683482)
Gepubliceerd in: (2025)

Table 6_Study on the differences of fat deposition in cattle-yak and yak based on transcriptomics and metabolomics.docx
door: Lin Xiong (623256)
Gepubliceerd in: (2025)

Image 1_Study on the differences of fat deposition in cattle-yak and yak based on transcriptomics and metabolomics.pdf
door: Lin Xiong (623256)
Gepubliceerd in: (2025)

Table 4_Study on the differences of fat deposition in cattle-yak and yak based on transcriptomics and metabolomics.xlsx
door: Lin Xiong (623256)
Gepubliceerd in: (2025)

Table 5_Study on the differences of fat deposition in cattle-yak and yak based on transcriptomics and metabolomics.xls
door: Lin Xiong (623256)
Gepubliceerd in: (2025)

Table 2_Study on the differences of fat deposition in cattle-yak and yak based on transcriptomics and metabolomics.xls
door: Lin Xiong (623256)
Gepubliceerd in: (2025)

Table 3_Study on the differences of fat deposition in cattle-yak and yak based on transcriptomics and metabolomics.xls
door: Lin Xiong (623256)
Gepubliceerd in: (2025)

Table 1_Study on the differences of fat deposition in cattle-yak and yak based on transcriptomics and metabolomics.xls
door: Lin Xiong (623256)
Gepubliceerd in: (2025)

Table 1_VPS35 D620N mutation impairs neurogenesis and promotes ferroptosis in Parkinson’s disease by using molecular docking, molecular dynamic simulation, and cellular model.docx
door: Mei Jiang (192549)
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Study characteristics of the subjects in the present study (n = 97).
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Relative bias of the App-results.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Subject recruitment and Dropouts.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Beverages’.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Fats and oils’.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Meat, sausage, fish and egg’.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Milk and dairy’.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Fruit and fruit juice’.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Vegetables and salad’.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Grain, grain products and potatoes’.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for fat.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for carbohydrates.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for protein.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for calories.
door: Jette Hinrichsen (22683252)
Gepubliceerd in: (2025)

Characteristics of patients infected with norovirus GII.
door: Leera Kittigul (22676501)
Gepubliceerd in: (2025)

Difference in viral loads in stool samples from norovirus GII-infected patients, grouped by genotype.
door: Leera Kittigul (22676501)
Gepubliceerd in: (2025)

Distribution of norovirus genotypes and P-types detected in patients with acute gastroenteritis attending two hospitals in Thailand.
door: Leera Kittigul (22676501)
Gepubliceerd in: (2025)

Comparison of hierarchical classifier performance among four machine learning models for the early-loss, intermediate-loss, and late/no-loss groups.
door: Raiki Yoshimura (22676573)
Gepubliceerd in: (2025)

Comparison of multi-class classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups.
door: Raiki Yoshimura (22676573)
Gepubliceerd in: (2025)

Comparison of binary classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups.
door: Raiki Yoshimura (22676573)
Gepubliceerd in: (2025)

Comparison of performance of four machine learning models for long-term graft loss prediction.
door: Raiki Yoshimura (22676573)
Gepubliceerd in: (2025)

Comparison of prediction performance with previously reported metrics.
door: Raiki Yoshimura (22676573)
Gepubliceerd in: (2025)

Comparison of performance of four machine learning models for early graft loss prediction.
door: Raiki Yoshimura (22676573)
Gepubliceerd in: (2025)

Predicting stratified groups in the validation cohort: (A) Workflows for the multi-class classification and hierarchical classification models are illustrated.
door: Raiki Yoshimura (22676573)
Gepubliceerd in: (2025)

Stratification and characterization of groups showing different graft survival: (A) UMAP visualization of the stratified derivation cohort data based on the distance matrix from the RF clustering.
door: Raiki Yoshimura (22676573)
Gepubliceerd in: (2025)

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