To improve the silage quality and reduce the silage additive cost, the present experiment was designed to evaluate the potential of applying the fermented juice of epiphytic lactic acid bacteria (FJLB) as an additive in alfalfa silage. The effects of FJLB on the fermentation quality, carbohydrate and protein fractions, and aerobic stability of alfalfa silage wilted under five different conditions were investigated and compared with commercial lactic acid bacteria (CLAB) and the control. The FJLB application decreased the pH value, the volatile fatty acids and non-protein nitrogen content, and the loss of sugar by 9.9%, 22.9%, 19.6% and 9.6%, respectively; it increased the lactic acid concentration by 29.5% and the aerobic stability by 17 h in comparison to the control. The FJLB application also decreased the pH value (4.44 vs. 4.66) and volatile fatty acid content (38.32 vs. 44.82) and increased the lactic acid concentration (68.99 vs. 63.29) in comparison to the CLAB-treated silage. However, the FJLB treatment had lower aerobic stability (254 h vs. 274 h) than the CLAB treatment. The FJLB application improved silage quality in comparison to the control; in addition, its effect as a fermentation stimulant may be comparable to or even better than CLAB.
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http://dx.doi.org/10.1111/asj.12599 | DOI Listing |
Sensors (Basel)
January 2025
Faculty of Sports Science, Ningbo University, Ningbo 315211, China.
Barbell squats are commonly used in strength training, but the anterior-posterior displacement of the Center of Mass (COM) may impair joint stability and increase injury risk. This study investigates the key factors influencing COM displacement during different squat modes.; Methods: This study recruited 15 male strength training enthusiasts, who performed 60% of their one-repetition maximum (1RM) in the Front Barbell Squat (FBS), High Bar Back Squat (HBBS), and Low Bar Back Squat (LBBS).
View Article and Find Full Text PDFMicroorganisms
December 2024
College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China.
This investigation aimed to assess the effect of additives on the aerobic stability, fermentation profile, and chemical composition of high-moisture corn grain silage. The corn grain was milled and divided this into four distinct treatment groups: , propionic acid, , and no additive (control). The capacity of the silos was 1 L and density was 1000 kg/m.
View Article and Find Full Text PDFBiomedicines
January 2025
Clinic for Cardiology, Military Medical Academy, 11000 Belgrade, Serbia.
: It is unknown how early exercise therapy combined with acupuncture (AP) affects the speed of recovery in patients suffering from heart failure with reduced ejection fraction (HFrEF) who are hospitalized due to worsening HF. : A prospective, sham-procedure-controlled, double-blind, randomized clinical trial with three patient groups was conducted. The study included patients with HFrEF who were hospitalized for worsening HF.
View Article and Find Full Text PDFFoods
January 2025
College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China.
This study investigates the aroma characterization of unique white tea varieties from the Lüchun county of Yunnan province, Mainland China. These include shaken, unshaken, steam-cooked, and compressed varieties. The aroma profile of white tea varieties was analyzed using two-dimensional gas chromatography-olfactometry-mass spectrometry (GC×GC-O-MS), electronic nose (e-nose), and descriptive sensory evaluation.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
School of Nursing, Dalian University, No. 24 Luxun Road, Zhongshan District, Dalian, China.
Objective: To construct a recurrence prediction model for Elderly Schizophrenia Patients (ESCZP) and validate the model's spatial external applicability.
Methods: The modeling cohort consisted of 365 ESCZP cases from the Seventh People's Hospital of Dalian, admitted between May 2022 and April 2024. Variables were selected using Lasso-Logistic regression to construct the recurrence prediction model, with a nomogram plotted using the "RMS" package in R 4.
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