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Introduction: This study used artificial intelligence and strategic management to predict sports industry development in Taiwan. Through public government information, we aimed to determine the dynamics of the sports industry and analyze the current situation of domestic sports industries and sports industry sectors. We also explored national sports policies and development issues to construct a Taiwan Sports Industry Gross Domestic Product Forecasting Model that aligns with the requirements of government agencies and the sports industry. Methods: This study explored time series data for 12 sports industries and 40 sports industry sectors from 2009 to 2018. We used artificial neural networks to predict future gross domestic product (GDP). We also used the moving average method to calculate the trend direction and used strategic management and brand positioning analysis to analyze industry positioning and trend development. Results: Only one sports industry, Sports Venue or Facility Construction, had an optimistic forecast for growth, while the GDP of the remaining 11 sports industries was predicted to decline. The average GDP forecasting accuracy for the sports industry was 94% in 2017 and 97.2% in 2018. Among the 40 sports industry sectors, eight had growth forecasts, while the GDP of the other 32 sectors was predicted to decline. The average GDP forecasting accuracy for sports industry sectors was 99.5% in 2017 and 99.4% in 2018. In the strategic matrix analysis, all 12 sports industries showed a growth trend. All sports industries showed a consistent upward trend in the GDP time series, indicating overall continuous growth in the sports industry. Similarly, among the 40 sports industry sectors, the Star and Cash Cow sectors showed growth trends and trend lines in the strategic positioning matrix and GDP time series. In contrast, the Question Marks and Dogs sectors showed declining trends and trend lines. Conclusion: This study makes six specific recommendations: (1) Seek solutions for the sports industry through prediction and estimation, (2) use strategic management to chart the course for developing the sports industry, (3) explore and propose future trends in the sports industry, (4) explore and propose future trends in the various sports industry sectors, (5) define the scope of the sports industry and address significant data management and its implications, and (6) foster research and development in technology management and its academic applications. These recommendations aim to provide valuable insights and guidance for the advancement and strategic planning of the sports industry, considering future trends and technological advances. [ABSTRACT FROM AUTHOR]

The intestinal tract is one of the important immune organs of the animal body, the intestinal mucosa is the main place of direct contact and communication between the internal environment and the outside world, and is the first line of defense against intestinal antigens. The integrity of the intestinal mucosal barrier is a prerequisite for the maintenance of normal intestinal function and health. Fucoidan is a macromolecular polysaccharide rich in sulfate groups, which has antiinflammatory, antioxidant, and antiviral functions, and can maintain the homeostasis of the intestinal environment by regulating the intestinal epithelial barrier function, bile secretion, intestinal epithelial cell tight junction, intestinal microbiota structure, and immune cell function. This article mainly reviews the effect of fucoidan on the intestinal mucosal barrier of animals and its application in animal production, aiming to provide a reference for the development of new feed additives. [ABSTRACT FROM AUTHOR]

The large magma reservoirs underlying world-class porphyry deposits are one of the key factors in their formation, which thus led to the present study focusing on the unmineralized intrusive rocks underlying the porphyry molybdenum-copper orebody of the post-collisional Jiama porphyry-skarn copper-polymetallic deposit in southern Tibet. The Jiama porphyry intrusion comprises intermediate-silica quartz diorite, monzogranite, and granodiorite porphyries, as well a high-silica granite porphyry. The intrusive rocks suite exhibits similar whole-rock Sr-Nd isotopic compositions [εNd(t) = -3.9 to -0.8], suggesting a common, non-radiogenic magma source. Yet, these rocks have distinct geochemical characteristics. The intermediate-silica rocks are relatively enriched in Ba and Sr with minor Eu anomalies, and show adakite-like geochemical characteristics. In contrast, the high-silica granite porphyry is strongly depleted in Ba, Sr, and Eu, and lacks adakite-like geochemical characteristics. We propose that the high-silica granite porphyry represents highly fractionated melt extracted from a silicic mush reservoir (crystallinity of ∼40%-65%), and that the monzogranite and granodiorite porphyries constitute the complementary residual silicic cumulates. High crystallinity facilitates the formation of connected fluid pathways, allowing the efficient removal of volatiles from the remaining silicic melt and a rapid flux of the ore-forming fluids toward the apical parts of the large magma reservoir. Less-evolved mafic melt is believed to have repeatedly intruded the base of the magma reservoir, thereby releasing volatiles and water into the silicic mush systems. The volatiles migrated upward through the fluid channels and accumulated in the apical part of the magma reservoir, subsequently, as a result of the overpressure in the roof zone, ore-forming fluids and successive batches of magma were expelled together, thereby forming the Jiama porphyry-skarn deposit. [ABSTRACT FROM AUTHOR]

In order to reveal the seasonal variation of serum biochemical indexes and endocrine indexes of Inner Mongolia cashmere goats, a total of 11 two-year-old ewes were allowed to graze freely throughout the year, and the ambient temperature, relative humidity, and precipitation were recorded over the course of the year. Monthly blood samples were collected from the jugular vein to measure serum biochemical indexes and endocrine indexes. The results showed that in winter, serum total protein and albumin concentrations of cashmere goats were higher compared to other seasons ( P<0.05 or P<0.01), and serum globulin concentration was higher in winter than in spring ( P<0.05). In summer, serum cholesterol and high-density lipoprotein concentration of cashmere goats was lower than in other seasons ( P<0.01), and serum triglyceride concentration in autumn and winter was higher than in spring and summer ( P<0.01), while lowdensity lipoprotein concentration was higher in autumn than in spring and summer ( P<0.05 or P<0.01). Blood glucose concentration of cashmere goats in spring was higher than in autumn ( P<0.05), serum insulin concentration in autumn was higher than in summer ( P<0.05), serum triiodothyronine concentration in winter was higher than in summer ( P<0.05), and serum heat shock protein 90 concentration in summer was higher than in other seasons ( P<0.05 or P<0.01). Non-esterified fatty acid concentration of cashmere goats in winter was higher than in other seasons ( P<0.05 or P<0.01). The study indicates that seasonal changes can influence serum biochemical indicators and regulate the secretion of related endocrine hormones in Inner Mongolian cashmere goats. [ABSTRACT FROM AUTHOR]