Background: The Japanese quail is a key species in sustainable poultry production, yet optimal feeding strategies are still being explored. This study investigated the combined effects of different feeding regimens and dietary supplementation with Spirulina platensis on growth performance, blood biochemistry, and intestinal microbial capacity in Japanese quails.

Methods: A total of 240 one-day-old Japanese quails were assigned to a 2×3 factorial design, with factors being feeding regimen (ad libitum vs. quantitative feed restriction) and Spirulina supplementation (0%, 1%, 2%). The trial lasted for 42 days. Data on growth performance, serum biochemistry (glucose, total protein, cholesterol, triglycerides), stress markers (heterophil-to-lymphocyte ratio), and digestive tract microbial counts (Lactobacillus, Bifidobacterium, E. coli) were collected and analyzed using a two-way ANOVA.

Results: Feed restriction was associated with an improved feed conversion ratio (p<0.05) without negatively impacting final body weight, while Spirulina supplementation at the 2% level was associated with enhanced growth performance metrics and beneficially altered blood parameters, including a reduction in cholesterol and an increase in total protein. The heterophil-to-lymphocyte ratio was significantly lower in quails fed with 2% Spirulina, which is associated with reduced stress. Furthermore, dietary Spirulina was associated with a significant increase in beneficial bacteria like Lactobacillus and a decrease in E. coli counts in the ceca. The combination of feed restriction and 2% Spirulina was associated with the most favorable outcomes in terms of feed efficiency and gut health.

Conclusion: The findings suggest that strategic feed restriction can improve feed efficiency in Japanese quails, and dietary supplementation with Spirulina platensis at 2% is a highly effective method for enhancing growth, physiological health, and the microbial balance in the gut. These results provide valuable insights for developing sustainable and efficient feeding protocols in the quail industry.

The study examines how artificial intelligence reshapes entrepreneurial activity and new-product trajectories across discovery, design, launch, and post-launch learning. The contribution lies in consolidating recent evidence on AI’s impact on opportunity formation, decision flows, and governance in risk-sensitive and regulated domains such as mental health, education, and organizations and products across sectors. The review describes performance gains from generative systems in knowledge work, the structuring value of multi-agent orchestration, and the strategic implications for data provenance, evaluation discipline, and go-to-market execution. Special attention is paid to cross-phase integration, where insight artifacts travel intact from qualitative discovery to modeling and telemetry-guided iteration. The goal is to derive an operator’s framework that aligns research signals with venture routines and product leadership choices. Methods include comparative synthesis of peer-reviewed sources, critical appraisal, and concept mapping. The conclusion outlines a reproducible stack for AI-native entrepreneurship that balances speed with auditability and trust, relevant for founders and product leaders.

In the context of the accelerating digital transformation of the financial industry, microfinance organizations (MFOs) are compelled to rethink and restructure their business models in order to maintain competitive advantages and strengthen the social impact of their activities. This study examines how digitalization and automation of key operational circuits serve as a fundamental driver for expanding the product line of MFOs. The purpose of the work is to identify causal links between the implementation of advanced technological tools — including Loan Origination System (LOS) class systems and the use of artificial intelligence (AI) in credit scoring procedures — and the ability of organizations to go beyond classical microcredit, forming a broader product portfolio. Methodologically, the study relies on a systematic review of academic sources, a comparative analysis of the markets of the United States, Europe, and Kyrgyzstan, as well as a detailed case study of comprehensive automation of one MFO in Kyrgyzstan. The results obtained indicate that achieving a threshold level of operational efficiency through automation — expressed in reduced application processing time and lower costs — frees managerial and financial resources necessary for designing and launching more complex products, such as microinsurance, digital savings instruments, and mortgage programs. Thus, the initial hypothesis is confirmed: operational transformation is not an end in itself, but serves as a mandatory precondition for strategic diversification. The conclusions drawn have practical significance for MFO managers, financial market regulators, and researchers in the fields of financial technologies and inclusive growth.