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The objective of this study was to determine productive performance, milk composition and milk fatty acids (FA) of goats supplemented with sunflower and linseed whole seeds in grass silage-based diets. Nine Alpine goats were grouped in a replicated 3 × 3 Latin square design (n = 3), that included three 21-d periods. Treatments were based on grass silage offered ad libitum and a concentrate mixture supplemented with either 40 g/d of Megalac-R® (control), 80 g/d of sunflower seed (SF), or 80 g/d of linseed (LS). Dry matter intake (1292 ± 14.0 g/d) and digestibility (g/kg) of dry matter (640 ± 32.1), organic matter (668 ± 32.4), neutral detergent fiber (628 ± 41.4) and acid detergent fiber (567 ± 60.9) was not affected by treatments (p > 0.05). Treatment did not affect milk fat yield (39.9 ± 1.24 g/d), protein content (4.5 ± 0.03 %) and protein yield (34.7 ± 1.22 g/d). Compared to control, SF and LS, decreased C16:0 (28.2 vs. 23.1 and 22.4 g/100 g), and increased total C18:1 (24.1 vs. 27.6 and 28.4 g/100 g) respectively. Overall, SF and LS resulted an effective strategy for altering the FA composition of goat´s milk towards a healthier profile for humans without deleterious effects on animal performance.

Yet outdated infrastructure, fragmented data, and supply chain disruptions;make these goals difficult to achieve. Gen AI offers value-clearing opportunities across the entire logistics operations value chain. In a nutshell, gen AI enhances various aspects of the value chain and leverages advanced AI models to create new, content-optimized processes and improve efficiency across logistics operations. For warehouse insights, a virtual SME [subject matter expert] can synthesize findings from multiple systems in response to managers’ questions. [...]for customer experience, a three-way messaging platform can leverage gen AI and standard SMS text messaging to connect drivers, dispatchers, and customers in a single text conversation to improve efficiency and instantly resolve delivery-related issues.

Amid increasing globalization, rising customer expectations, and double-digit shipping growth, supply chain organizations—not just manufacturers and suppliers but also the warehouses and transporters they rely on—are under duress. Digital twins can be used to model the interaction between physical and digital processes all along the supply chain—from product ideation and manufacturing to warehousing and distribution, from in-store or online purchases to shipping and returns. [...]digital twins paint a clear picture of an optimal end-to-end supply chain process. To understand how a self-healing supply chain might work in practice, let’s look at one example: using digital twins, a retailer sets dynamic SKU-level safety stock targets for each fulfillment center that dynamically evolve with localized and seasonal demand patterns. [...]this granular optimization is applied not just to inventory management but also to every part of the end-to-end supply chain—from procurement and product design to manufacturing and demand forecasting. Digital twins optimize today’s SCM software Today’s supply chain management (SCM) software—which includes a range of products, such as advanced planning and scheduling (APS) tools, warehouse management systems (WMS), and transportation management systems (TMS)—has automated large parts of the supply chain in the past decade, dramatically streamlining how suppliers, buyers, and shippers intersect. [...]the OEM reduced costs for freight and damages by 8 percent.

Supply chain leaders can now choose from a wide range of mature, capable, reliable solutions to match their needs, including high-density storage and retrieval systems, goods-to-person robots, and collaborative robots (or “cobots”)—some humanoid—that can work safely alongside their human colleagues. [...]the robotics market is becoming more dynamic, with established warehouse automation players competing alongside a growing number of startups offering specialized solutions or highly flexible general-purpose robotic systems (Exhibit 1). [...]a contingency plan minimizes operational disruptions, while a continuous-improvement mindset incorporates lessons learned throughout the implementation. Educate your board and leadership on the art of the possible.Leading players are developing new business and operating models to support their supply chain automation ambitions. [...]set budget, timeline, and KPI targets to ensure efficient use of resources. ---

First was the accelerating growth of e-commerce, with particular challenges posed by the shift to home delivery. [...]was higher rates, resulting in part from carrier discipline as supply chain disruptions pushed demand into the spot markets. The timing of this demand is uncertain but could come as early as 1Q 2021. Because of these uncertainties, airlines and forwarders are reshaping their rate agreements with short validity rates. [...]shippers that have traditionally relied on air freight (such as semiconductor or medical device companies) need to focus on improving resilience during this time of sustained disruption in air cargo.

First was the accelerating growth of e-commerce, with particular challenges posed by the shift to home delivery. [...]was higher rates, resulting in part from carrier discipline as supply chain disruptions pushed demand into the spot markets. The timing of this demand is uncertain but could come as early as 1Q 2021. Because of these uncertainties, airlines and forwarders are reshaping their rate agreements with short validity rates. [...]shippers that have traditionally relied on air freight (such as semiconductor or medical device companies) need to focus on improving resilience during this time of sustained disruption in air cargo.

Peptides constitute an alternative and interesting option to develop treatments, vaccines, and diagnostic tools as they demonstrate their scope in several health aspects; as proof of this, commercial peptides for humans and animals are available on the market and used daily. This review aimed to know the role of peptides in the field of veterinary diagnosis, and include peptide-based enzyme-linked immunosorbent assay (pELISA), lateral flow devices, and peptide latex agglutination tests that have been developed to detect several pathogens including viruses and bacteria of health and production relevance in domestic animals. Studies in cattle, small ruminants, dogs, cats, poultry, horses, and even aquatic organisms were reviewed. Different studies showed good levels of sensitivity and specificity against their target, moreover, comparisons with commercial kits and official tests were performed which allowed appraising their performance. Chemical synthesis, recombinant DNA technology, and enzymatic synthesis were reviewed as well as their advantages and drawbacks. In addition, we discussed the intrinsic limitations such as the small size or affinity to polystyrene membrane and mention several strategies to overcome these problems. The use of peptides will increase in the coming years and their utility for diagnostic purposes in animals must be evaluated.

Background Ethnically diverse populations can present variations in cardiovascular risk, which can be influenced by differences in lipid profiles and other cardiovascular risk factors. This study aimed to evaluate lipid profiles and traditional cardiovascular risk factors in a Mediterranean population, with a focus on variations by ethnicity and sex. Methods We conducted a population-based cross-sectional study using the “Information System for the Development of Research in Primary Care” (SIDIAP) database, which includes primary care data from Catalonia, Spain, collected between 2015 and 2019. The study included subjects aged 40 to 89 years with no prior history of cardiovascular disease (CVD) or lipid-lowering therapy. Descriptive analyses were performed to compare lipid profiles and traditional risk factors across ethnic groups and sex. Results We included 806,458 participants, 56.8% women, 89.9% from Southern Europe, 5.3% from Latin America and Caribbean origin, 3% from North Africa, 0.8% from Central/South Africa and 1% from Asia. Asian individuals presented the most atherogenic lipid profile, with the lower HDL-C, higher triglyceride levels, and elevated atherogenic indices. Higher LDL-C values were observed in Latin American men and Southern European women. Among the groups studied, Central and South Africans presented the most favorable lipid profiles, with low triglyceride and atherogenic indices, regardless of sex. North Africans and Latin Americans presented higher obesity rates, whilst southern Europeans presented the highest prevalence rates of hypertension and smoking. Conclusions Individuals from Asia have worse lipid and metabolic profile compared with Central and South African individuals, regardless of sex. Current risk assessment tools may underestimate the cardiovascular risk in these specific populations. Graphical abstract