To determine the long-term effects of transition milk (TRANS), 30 female Holstein calves were allocated to two feeding groups (n = 15/group) after colostrum intake, receiving either 12 L of TRANS of their dam or 12 L of milk replacer (MR) per day. After 5 d of differential feeding, all calves received 12 L of MR/d. Until calving, heifers were weighed monthly. After calving, BW was recorded twice daily after milking. Body condition (BCS) and back fat thickness (BFT) were scored biweekly. Milk yield was recorded twice daily until d 200 in milk. Milk composition (protein, fat, and lactose), as well as somatic cell count (SCC) were analysed biweekly. Blood samples were taken 3 weeks before calving, at the day of calving and 3 weeks thereafter. Oxidative status was assessed as ferric reducing ability of plasma (FRAP) for antioxidative capacity, and as reactive oxygen metabolites via the dROM assay. Oxidative damage of lipids was measured via the thiobarbituric acid-reactive substances (TBARS) assay; peroxidized proteins were assessed using the advanced oxidation protein products (AOPP) assay. Performance until first insemination did not differ between the groups, as well as BW development until the first weeks of lactation. From week 7 of lactation onwards, TRANS had less BW than MR heifers but tended to have a higher BCS. Milk yield and composition did not differ between both treatments. Marker for oxidative stress showed typical patterns of increasing antioxidants before calving and increase in prooxidants after calving in both treatment groups. The results indicate that feeding TRANS in the first 5 days of life had no long-term effects on performance in the first lactation, except for lower postpartum BW in heifers fed TRANS than MR, under the current rearing and management conditions.

John Cooper contends that ancient philosophers shared certain fundamental assumptions about the “motivating power” of truth and knowledge that have been abandoned by post-Renaissance philosophers. Consequently, he claims that those seeking philosophy as a guide to the good life can only find it in the works of ancient philosophers. I challenge that conclusion by arguing that philosophy as a way of life has not disappeared but has evolved. A key indicator of this continuity is the enduring presence of “professional” philosophers who, like their ancient counterparts, remain concerned with what used to be called “the state of one’s soul.”

Colostrum (CM) and transition milk (TM) are crucial for neonatal development but knowledge about the changes in their composition in dairy goats is still limited. The aim of this study was to characterise the immunological, lipid and microbial changes from CM to TM in Guanzhong dairy goats, an indigenous, highly productive Chinese breed. Milk samples were collected from eight primiparous goats at day 0 (CM) and day 7 (TM) postpartum. Immunoglobulin concentrations (IgG, IgA, IgM) were measured by ELISA, long-chain saturated fatty acids (FA) were analysed by gas chromatography, and bacterial communities were profiled by 16S rRNA gene amplicon sequencing. Microbial functions were inferred using PICRUSt2 (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) software based on KEGG (Kyoto Encyclopedia of Genes and Genomes) orthologs. Immunoglobulin concentrations declined significantly from CM to TM, reflecting a transition from immunoprotection to food supply. The TM had increased concentrations of long-chain saturated FA, particularly palmitic acid (C16:0) and stearic acid (C18:0) and higher concentrations of branched-chain FA, suggesting an adaptation to the growing energy demands of the newborn. Although overall microbial diversity was stable, taxonomic shifts were observed. CM was enriched in Emticicia, which may be involved in oligosaccharide degradation, while TM had higher abundance of Faecalibacterium, Ruminococcus and Salinicoccus, genera associated with SCFA production and intestinal development. Functional predictions indicated enrichment of cold shock and haem biosynthetic pathways in CM and enhanced carbohydrate degradation pathways in TM. Correlation analyses revealed relationships between specific FA and bacterial genera, suggesting interactions between host, microbes and nutrients that may influence milk functionality. This integrative analysis of milk components during early lactation provides new insights into the compositional and functional dynamics of goat milk.

As social media continues to grow, understanding the impact of storytelling on stakeholder engagement becomes increasingly important for policymakers and organizations who wish to influence policymaking. While prior research has explored narrative strategies in advertising and branding, researchers have paid scant attention to the specific influence of stories on social media stakeholder engagement. This study addresses this gap by employing Narrative Transportation Theory (NTT) and leveraging Natural Language Processing (NLP) to analyze the intricate textual data generated by social media platforms. The analysis of 85,075 Facebook publications from leading Canadian manufacturing companies, using Spearman’s rank correlation coefficient, underscores that individual storytelling components—character, sequence of events, and setting—along with the composite narrative structure significantly enhance stakeholder engagement. This research contributes to a deeper understanding of storytelling dynamics in social media, emphasizing the importance of crafting compelling stories to drive meaningful stakeholder engagement in the digital realm. The results of our research can prove useful for those who wish to influence policymakers or for policymakers who want to promote new policies.

Negative entities such as holes, cavities, and shadows are metaphysically puzzling. Despite evidence supporting their existence, their nature as absences of positive entities raises questions about their ontological status. How can negative beings exist while differing fundamentally from positive entities? To address this issue, Kris McDaniel’s ontological pluralism offers a solution by granting negative entities “being by courtesy.” This article reviews McDaniel’s proposal, presents a challenge to it, and offers an alternative solution within the framework of ontological pluralism. The conclusion addresses an objection and provides a response, contributing to the ongoing debate about the metaphysical reality of negative entities.

The “EU Vaccines Strategy” launched by the European Commission in June 2020 aimed to ensure vaccine safety, equitable access, affordability, swift distribution, and global solidarity for COVID-19 vaccines. This study critiques the Commission’s centralized procurement approach, focusing on Advance Purchase Agreements (APAs) through a literature review, policy analysis, and a case study of the EU-AstraZeneca’s APA. It identifies critical challenges, including transparency deficits, accountability gaps, and anticompetitive practices by vaccine producers that undermine equitable access. Drawing on these insights, the study proposes the FACER Framework — Fairness, Accountability, Competition Law, Ethics of Innovation, and Resilience — a novel model integrating the Treaty on the European Union (TEU) and the Treaty on the Functioning of the European Union (TFEU) oversight with ethical principles. By embedding legal and moral accountability, FACER offers EU policymakers a robust tool to enhance vaccine strategy and equity in future health crises.

Branched broomrape [Phelipanche ramosa (L.) Pomel], a parasitic weed with a broad host range, is a quarantine pest in California. Phelipanche ramosa plants can produce thousands of tiny seeds that are easily spread by farm equipment. Best management practices for reducing dispersal risk include physical cleaning and disinfestation of farm equipment, but data on the efficacy of sanitizers on weed seeds are limited. A three-phase study was undertaken during 2022 to 2023 to evaluate quaternary ammonium compound (QAC) sanitizer efficacy on P. ramosa seed germinability. First, several QAC ingredients were evaluated at various concentrations (0 to 2.5 g per 100 ml) and exposure durations (1, 3, and 5 min) to develop initial germination curves. Second, the experiments were conducted with three commercial QAC sanitizers (MG4-Quat [Mg4], Flo-Quat, and Cleaner QT-185) at the recommended dose (1% v/v) and a field-relevant exposure duration (1 min). The final experiments evaluated commercial QAC sanitizer efficacy in the presence of various debris types. The initial experiments showed that alkyl dimethyl benzyl ammonium chloride (ADAC), didecyl dimethyl ammonium bromide (DDAB), and didecyl dimethyl ammonium chloride (DDAC) effectively prevented P. ramosa germination, but the effective dose for a 50% reduction in P. ramosa seed germination ranged from 0.001% (g per 100 ml) at 10 min with DDAC to 0.35% (g per 100 ml) at 1 min with ADAC. While all three QAC sanitizers reduced seed germination 75% to 100% after a 1-min exposure to the recommended dose (1% v/v), this treatment did not affect seed germination in the presence of soil (100 mg ml−1) or fruit/plant tissue (40 mg ml−1). At higher concentrations of Mg4 (8% v/v), P. ramosa seed germination was reduced by 90% to 100%, even in the presence of soil and plant debris. This study demonstrates that while QAC sanitizers can reduce P. ramosa seed germinability, their efficacy is compromised in the presence of debris. Therefore, physical cleaning to reduce debris loads before QAC application is essential for reducing the risk of P. ramosa seed movement among fields on equipment.

Increasing penetration of variable and intermittent renewable energy resources on the energy grid poses a challenge for reliable and efficient grid operation, necessitating the development of algorithms that are robust to this uncertainty. However, standard algorithms incorporating uncertainty for generation dispatch are computationally intractable when costs are nonconvex, and machine learning-based approaches lack worst-case guarantees on their performance. In this work, we propose a learning-augmented algorithm, RobustML, that exploits the good average-case performance of a machine-learned algorithm for minimizing dispatch and ramping costs of dispatchable generation resources while providing provable worst-case guarantees on cost. We evaluate the algorithm on a realistic model of a combined cycle cogeneration plant, where it exhibits robustness to distribution shift while enabling improved efficiency as renewables penetration increases.

With the advancement in the embryo culture media, which supports nutrient requirements of embryos up to 5 to 6 days, there’s a chance to select more viable embryos, which are more likely to result in pregnancy, compared to earlier stages. Also, there is a controversy regarding the frozen embryo transfer compared to the fresh type. To compare the chemical pregnancy rates between fresh embryo transfer (ET), and frozen embryo transfer (FET), on day 3 (cleavage), and day 4 (morula) of development. In this retrospective study, data of 242 fresh and 758 frozen embryo transfer cycles were obtained in one infertility center in Isfahan, Iran. The study’s groups were assigned based on the day of fresh or frozen embryo transfer (day 3, or day 4 embryos) and the embryo grading. Chemical pregnancy was the main outcome measurement (implantation rates). The chemical pregnancy rate was higher in the good quality frozen embryo day 3 and transfer on day 4 group (40.1%). This rate was near the results of transferring the good quality frozen embryo on day 4 (39.2 %). There was no significant difference in the chemical pregnancy rate related to the number of transferred embryos (p = 0.55). The higher PRs, when the embryos were transferred on day 4, provided further support for the morula stage embryo transfer, possibly because of better synchrony with the endometrium. It is concluded that morula/compact embryos are good candidates for embryo transfer, which simultaneously reduces the number of transferred embryos.

Recently, the World Health Organization recommendation for abstinence time for semen analysis has been challenged in some studies and many of them have supported the advantages of a second short abstinence ejaculation. More evidence is needed to approve this for clinical use. This study aimed to compare the average routine abstinence time (2–7 days) with the short time (1–2 h) on sperm quality based on functional parameters in a population of oligo-astheno-teratozoospermia (OAT) men. The semen samples were retrieved from 50 men with OAT two times: one standard 2–7 days (long ejaculation) and short duration trimming (1–2 hours later the first ejaculation). All semen parameters as well as sperm DNA integrity were compared between groups. Results showed that mean sperm concentration (10.40 vs. 8.76), total sperm count (28.53 vs. 12.24) and mean semen volume (2.69 vs. 1.40) were higher in the first ejaculation (2–7 days of abstinence), while progressive motility (20.52 vs. 13.32), non-progressive motility (53.46 vs. 48.86), morphology (2.46 vs. 1.46) and viability (83.90 vs. 77.96) were significantly higher in the second ejaculation (P < 0.05). The second sample also showed lower immotile (26.82 vs. 38.02) and DNA fragmentation (19.5 vs. 26.96) (P < 0.05). Taking all data into account, an additional short abstinence period (AP) may be a simple and helpful strategy to obtain better sperm quality in couples with male infertility causes, especially in OAT patients. The recommended current guidelines regarding the AP may need to be revisited in severe male factors.

To what extent can the harms of misinformation be mitigated by relying on nudges? Prior research has demonstrated that non-intrusive ‘accuracy nudges’ can reduce the sharing of misinformation. We investigate an alternative approach. Rather than subtly reminding people about accuracy, our intervention, indebted to research on the bystander effect, explicitly appeals to individuals' capacity to help solve the misinformation challenge. Our results are mixed. On the one hand, our intervention reduces the willingness to share and believe in misinformation fact-checked as false. On the other hand, it also reduces participants' willingness to share information that has been fact-checked as true and innocuous, as well as non-fact-checked information. Experiment 1 offers proof of concept; Experiment 2 tests our intervention with a more realistic mix of true and false social media posts; Experiment 3 tests our interventions alongside an accuracy nudge. The effectiveness of our intervention at reducing willingness to share misinformation remains consistent across experiments; meta-analysis reveals that our treatment reduced willingness to share false content across experiments by 20% of a scale point on a six-point scale. We do not observe the accuracy nudge reducing willingness to share false content. Taken together, these results highlight the advantages and disadvantages of accuracy nudges and our more confrontational approach.

Early supplementation with oregano essential oil (EO) in milk replacer (MR) may improve growth, immune responses, the microbiota and the metabolome in dairy calves during pre-weaning and in adulthood. Sixteen female dairy calves (3 days of age) were divided in two groups (n = 8/group): the control group (no EO) and the EO group (0.23 ml of EO in MR during 45 days). After weaning, calves were kept in a feedlot and fed ad libitum. The animals were weighed, and blood and faecal samples were collected on days 3 (T0), 45 (T1) and 370 (T2) to measure the biochemical profile and characterise peripheral blood mononuclear cells (PBMCs; CD4+, CD8+, CD14+, CD21+ and WC1+), the metabolome and microbiota composition. The EO group only had greater average daily weight gain during the suckling (EO supplementation) period (P = 0.030). The EO group showed higher average CD14+ population (monocytes) values, a lower abundance of Ruminococcaceae UCG-014, Faecalibacterium, Blautia and Alloprevotella and increased abundances of Allistipes and Akkermansia. The modification of some metabolites in plasma, such as butyric acid, 3-indole-propionic acid and succinic acid, particularly at T1, are consistent with intestinal microbiota changes. The data suggest that early EO supplementation increases feed efficiency only during the suckling period with notable changes in the microbiota and plasma metabolome; however, not all of these changes can be considered desirable from a gut health point of view. Additional research studies is required to demonstrate that EOs are a viable natural alternative to antibiotics for improving calf growth performance and health.

Flow physics vary in different regimes across the full Mach number range, with our knowledge being particularly poor about the hypersonic regime. An Eulerian realization of the particles on demand method, a kinetic model formulated in the comoving reference frame, is proposed to simulate hypersonic compressible flows. The present model allows for flux evaluation in different reference frames, in this case rescaled and shifted by local macroscopic quantities, i.e. fluid speed and temperature. The resulting system of coupled hyperbolic equations is discretized in physical space with a finite volume scheme ensuring exact conservation properties. Regularization via Grad expansion is introduced to implement distribution function and flux transformation between different reference frames. It is shown that the proposed method possesses Galilean invariance at a Mach number up to $100$. Different benchmarks including both inviscid and viscous flows are reproduced with the Mach number up to $198$ and pressure ratio up to $10^5$. Finally, the new model is demonstrated to be capable of simulating hypersonic reactive flows, including one-dimensional and two-dimensional detonations. The developed methodology opens up possibilities for the simulation of the full range of compressible flows, without or with chemical reactions, from the subsonic to hypersonic regimes, leading to enhanced understanding of flow behaviours across the full Mach number range.

This study examines the relationship between online communication by the Proud Boys and their offline activities. We use a supervised machine learning model to analyze a novel dataset of Proud Boys Telegram messages, merged with US Crisis Monitor data of violent and nonviolent events in which group members participated over a 31-month period. Our analysis finds that intensifying expressions of grievances online predict participation in offline violence, whereas motivational appeals to group pride, morale, or solidarity share a reciprocal relationship with participation in offline events. This suggests a potential online messaging–offline action cycle, in which (a) nonviolent offline protests predict an increasing proportion of motivational messaging and (b) increases in the frequency and proportion of motivational appeals online, in turn, predict subsequent violent offline activities. Our findings offer useful theoretical insights for understanding the relationship between online speech and offline behavior.