K−K^--Nucleus Scattering at Low and Intermediate Energies

We calculate $K^-$-nucleus elastic differential, reaction and total cross sections for different nuclei ($^{12}$C,$^{40}$Ca and $^{208}$Pb) at several laboratory antikaon momenta, ranging from 127 MeV to 800 MeV. We use different antikaon-nucleus optical potentials, some of them fitted to kaonic atom data, and study the sensitivity of the cross sections to the considered antikaon-nucleus dynamics.Comment: Only 4 pages, Latex, 3 Figures. This version is much shorter than the previous one. Some details and references have been omitte

Measurement of the CP-Violating Asymmetry Amplitude sin2β\beta

We present results on time-dependent CP-violating asymmetries in neutral B decays to several CP eigenstates. The measurements use a data sample of about 88 million Y(4S) --> B Bbar decays collected between 1999 and 2002 with the BABAR detector at the PEP-II asymmetric-energy B Factory at SLAC. We study events in which one neutral B meson is fully reconstructed in a final state containing a charmonium meson and the other B meson is determined to be either a B0 or B0bar from its decay products. The amplitude of the CP-violating asymmetry, which in the Standard Model is proportional to sin2beta, is derived from the decay-time distributions in such events. We measure sin2beta = 0.741 +/- 0.067 (stat) +/- 0.033 (syst) and |lambda| = 0.948 +/- 0.051 (stat) +/- 0.017 (syst). The magnitude of lambda is consistent with unity, in agreement with the Standard Model expectation of no direct CP violation in these modes

Co-designing technical innovations in the context of agroecological living landscapes. A cross-country analysis of the codesign process, results, and learnings over the 2023-2024 period

This report documents the processes, results, and key learnings from implementing co-design approaches for agroecological innovations across eight countries (Burkina Faso, India, Kenya, Laos, Peru, Senegal, Tunisia, and Zimbabwe) during 2023-2024, as part of Work Package 1 of the CGIAR Agroecology Initiative. The participating countries demonstrated significant diversity in their co-design approaches, reflecting different contexts, farming systems, and priorities. Several countries like Kenya and Zimbabwe implemented structured, multi-cycle processes with systematic stakeholder engagement, while others like Peru focused on specific value chains such as organic cacao production. The co-design process typically progressed through several key phases: preparatory work to establish foundations and relationships, stakeholder engagement and visioning to develop shared understanding and goals, collaborative technology identification and design, systematic trial establishment, robust monitoring and evaluation, knowledge exchange through field days and farmer-to-farmer learning, capacity building, and iterative refinement based on results and feedback. Stakeholder participation varied across countries but consistently involved farmers, international researchers, and extension services. Some countries achieved strong integration with national research organizations and private sector actors, though this remained a challenge in several locations. The process helped strengthen institutional collaboration and knowledge sharing between stakeholders while empowering farmers as active participants in innovation development. In Kenya, for example, the establishment of partnerships with farmer training centers as "host centers" created effective platforms for ongoing engagement and scaling. Across the initiative, countries tested approximately 30+ distinct technologies spanning various domains. These included innovations in soil health management, such as Zimbabwe's conservation agriculture practices and Tunisia's biochar applications; integrated pest management approaches like Kenya's plant-based biopesticides and Peru's organic disease management for cacao; water management technologies including India's solar irrigation systems; and crop-livestock integration methods demonstrated by Burkina Faso's dairy production innovations. The scale of implementation was significant, reaching 300-350 farmers (data from six countries only), though the intensity of engagement varied. Most countries implemented 1 or 2 experimental cycles during this period, with some achieving three cycles based on local growing seasons. Technology performance and adoption patterns showed strong context-dependency. Several technologies demonstrated significant potential for scaling, particularly where they aligned well with existing farming systems and provided clear economic benefits. Tunisia's forage intercropping systems showed marked improvements in soil health and animal nutrition, while Kenya's basic agroecological practices achieved widespread adoption through existing farmer networks. Burkina Faso's dairy management innovations demonstrated how integrated approaches could improve both productivity and resource efficiency. Several critical success factors for technology adoption were identified, including secure land tenure, access to adequate labor and resources, and strong institutional support systems. Common challenges included high initial investment costs, intensive labor requirements, and the need for technical knowledge and training. Gender dynamics played a significant role, with some technologies showing different adoption patterns between men and women farmers. Looking forward, the co-design experience generated valuable insights for future implementation. There is a clear need for standardized yet flexible methodological guidelines that maintain scientific rigor while allowing local adaptation. Future processes should better integrate activities across plot, farm, and landscape scales, while addressing multiple types of innovations including organizational and institutional ones. Enhanced mechanisms for inclusive participation, particularly of women farmers and diverse stakeholder groups, will be crucial for success. These results provide a strong foundation for refining and scaling these approaches through the upcoming Multifunctional Landscapes program. The experiences demonstrate that well-structured co-design approaches can generate both immediate benefits and longer-term transformative change in agricultural systems, particularly when supported by robust knowledge sharing platforms and communication systems. Success will require continued attention to both technical and social dimensions while maintaining flexibility to accommodate local contexts and emerging opportunities

A-dependence of phi-meson production in p+A collisions

A systematic analysis of the A-dependence of phi-meson production in proton-nucleus collisions is presented. We apply different formalisms for the evaluation of the phi-meson distortion in nuclei and discuss the theoretical uncertainties of the data analysis. The corresponding results are compared to theoretical predictions. We also discuss the interpretation of the extracted results with respect to different observables and provide relations between frequently used definitions. The perspectives of future experiments are evaluated and estimates based on our systematical study are given.Comment: 14 pages, 8 figure

EuFe2_2As2_2 under high pressure: an antiferromagnetic bulk superconductor

We report the ac magnetic susceptibility $\chi_{ac}$ and resistivity $\rho$ measurements of EuFe$_2$As$_2$ under high pressure $P$. By observing nearly 100% superconducting shielding and zero resistivity at $P$ = 28 kbar, we establish that $P$-induced superconductivity occurs at $T_c \sim$~30 K in EuFe$_2$As$_2$. $\rho$ shows an anomalous nearly linear temperature dependence from room temperature down to $T_c$ at the same $P$. $\chi_{ac}$ indicates that an antiferromagnetic order of Eu$^{2+}$ moments with $T_N \sim$~20 K persists in the superconducting phase. The temperature dependence of the upper critical field is also determined.Comment: To appear in J. Phys. Soc. Jpn., Vol. 78 No.

Dalitz plot analysis of the decay B±→K±K±K∓

We analyze the three-body charmless decay B-+/-->(KKK -/+)-K-+/--K-+/- using a sample of 226.0 +/- 2.5 million B (B) over bar pairs collected by the BABAR detector. We measure the total branching fraction and CP asymmetry to be B=(35.2 +/- 0.9 +/- 1.6)x10(-6) and A(CP)=(-1.7 +/- 2.6 +/- 1.5)%. We fit the Dalitz plot distribution using an isobar model and measure the magnitudes and phases of the decay coefficients. We find no evidence of CP violation for the individual components of the isobar model. The decay dynamics is dominated by the K+K- S-wave, for which we perform a partial-wave analysis in the region m(K+K-)< 2 GeV/c(2). Significant production of the f(0)(980) resonance, and of a spin zero state near 1.55 GeV/c(2) are required in the isobar model description of the data. The partial-wave analysis supports this observation.This work is supported by DOE and NSF (USA), NSERC (Canada), IHEP (China), CEA and CNRS-IN2P3 (France), BMBF and DFG (Germany), INFN (Italy), FOM (The Netherlands), NFR (Norway), MIST (Russia), and PPARC (United Kingdom). Individuals have received support from CONACyT (Mexico), Marie Curie EIF (European Union), the A. P. Sloan Foundation, the Research Corporation, and the Alexander von Humboldt Foundation

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease