As the global population continues to grow, climate change intensifies, and agricultural resources become increasingly scarce, traditional agricultural production models are facing unprecedented challenges. It is predicted that by 2050, global food production will need to increase by 70% to meet demand. Against this backdrop, “Agriculture 4.0” has gradually emerged, with embedded technologies such as the Internet of Things (IoT), artificial intelligence (AI), unmanned aerial vehicles (UAVs), and robotics widely applied in precision agriculture to improve production efficiency and sustainability.

In the field of modern agricultural machinery, pneumatic conveying seed-discharge systems have been widely adopted due to their compact size, high seed-discharge efficiency, and strong adaptability, which are particularly aligned with the current development trend of high-speed mechanized operations.

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes in record time.

Meet ncRNA2MetS v2.0, the largest experimentally verified repository linking 1,505 ncRNAs to metabolic syndrome and its five core disorders, offered through an intuitive eight-module web portal.

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting state-of-the-art local solvers for k-quasi-clique and k-plex without altering their search routines.

Mergers and acquisitions can transform a company’s future. For family businesses, those decisions hinge on more than financial calculations—they reflect how families balance control, identity and risks.

Juniper Gardens Children’s Project, part of the Life Span Institute at the University of Kansas, is focus of a special issue of the peer-reviewed journal Education and Treatment of Children. The project is hailed as “perhaps the longest-running community-engaged research center in the United States."

Milan, 13^th January 2025  - The Politecnico di Milano has created the first integrated and fully tunable device based on spin waves, opening up new possibilities for the telecommunications of the future, far beyond current 5G and 6G standards. The study, published in the journal Advanced Materials, was conducted by a research group led by Riccardo Bertacco of the Department of Physics of the Politecnico di Milano, in collaboration with Philipp Pirro of Rheinland-Pfälzische Technische Universität and Silvia Tacchi of Istituto Officina dei Materiali - CNR-IOM.

A research team from the Beijing Institute of Technology (BIT) and Yinhe Hangtian has achieved a major advance in orbit mechanics by developing an analytical method capable of directly predicting spacecraft trajectories under third-body gravitational perturbations. This work, recently published in the Chinese Journal of Aeronautics, resolves a long-standing challenge in celestial dynamics and provides a new theoretical tool for deep-space exploration and autonomous spacecraft control.

Mitochondrial respiratory complexes (Complexes I–V) and their assembly into respiratory supercomplexes (SCs) are fundamental to liver bioenergetics, redox homeostasis, and metabolic adaptability. Disruption of these systems contributes to major liver diseases, including non-alcoholic fatty liver disease, alcoholic liver disease, drug-induced liver injury, viral hepatitis, and hepatocellular carcinoma, by impairing adenosine triphosphate synthesis, increasing oxidative stress, and altering metabolic pathways. Recent advances have clarified the structural-functional interdependence of individual complexes within SCs, revealing their dynamic remodeling in response to physiological stress and pathological injury. These insights open opportunities for clinical translation, such as targeting SC stability with pharmacological agents, nutritional strategies, or gene therapy, and employing mitochondrial transplantation in cases of severe mitochondrial failure. Precision medicine approaches, incorporating multi-omics profiling and patient-derived models, may enable individualized interventions and early detection using SC integrity as a biomarker. By linking molecular mechanisms to therapeutic strategies, this review underscores the potential of mitochondrial-targeted interventions to improve outcomes in patients with liver disease.