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The dielectric laser accelerator (DLA) is an innovative on-chip particle accelerator that employs a periodic dielectric structure to modulate a laser beam, generating a longitudinal accelerating field to propel particles. Leveraging the high laser-induced damage threshold of dielectric materials, DLAs can achieve significantly higher acceleration gradients compared to traditional accelerators. Current inverse design approaches for DLAs, based on the adjoint variable method (AVM), overlook the impact of changes in electron velocity, which can result in dephasing between electrons and the accelerating field over long distances. To address this limitation, we propose an improved inverse design method that incorporates electron velocity variations into the objective function, specifically tailored for long-distance acceleration structures. Using an incident electric field amplitude of 1.2 GV/m, we designed a 20 µm DLA capable of accelerating 26.6 keV electrons with an average acceleration gradient of 347 MeV/m. Our method ensures sustained electron acceleration across the entire structure, surpassing the energy gain limits imposed by the original approach. Furthermore, the optimal initial electron energy in this design closely aligns with the target value (26.6 keV), demonstrating that the dephasing issue has been effectively resolved. This advancement paves the way for more efficient and robust on-chip particle acceleration.
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http://dx.doi.org/10.1364/OE.558058 | DOI Listing |
BMC Pediatr
September 2025
Department of Neonatology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China.
Background: Red blood cell (RBC) transfusion is a common intervention for anemia in preterm infants; however, its association with bronchopulmonary dysplasia (BPD) remains debated. While biological mechanisms suggest potential harm, the clinical impact of transfusion frequency on BPD incidence and severity remains unclear.
Objective: To investigate whether RBC transfusion frequency is independently associated with the risk and severity of BPD in preterm infants born before 32 weeks of gestation.
Nat Biomed Eng
September 2025
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Phenotype-driven approaches identify disease-counteracting compounds by analysing the phenotypic signatures that distinguish diseased from healthy states. Here we introduce PDGrapher, a causally inspired graph neural network model that predicts combinatorial perturbagens (sets of therapeutic targets) capable of reversing disease phenotypes. Unlike methods that learn how perturbations alter phenotypes, PDGrapher solves the inverse problem and predicts the perturbagens needed to achieve a desired response by embedding disease cell states into networks, learning a latent representation of these states, and identifying optimal combinatorial perturbations.
View Article and Find Full Text PDFNanoscale
September 2025
School of Materials Science and Engineering, Beihang University, Beijing 100191, China.
The challenge of photocatalytic hydrogen production has motivated a targeted search for MXenes as a promising class of materials for this transformation because of their high mobility and high light absorption. High-throughput screening has been widely used to discover new materials, but the relatively high cost limits the chemical space for searching MXenes. We developed a deep-learning-enabled high-throughput screening approach that identified 14 stable candidates with suitable band alignment for water splitting from 23 857 MXenes.
View Article and Find Full Text PDFJ Manipulative Physiol Ther
September 2025
Clinical & Health Services Research, Southern California University of Health Sciences, Whittier, California.
Objective: The purpose of this study was to evaluate the risk of selected adverse outcomes for older adults with a new episode of neck pain (NP) receiving chiropractic care compared to those receiving primary medical care with Prescription Drug Therapy (PDT) or primary care without medication.
Methods: Through analysis of Medicare claims data, we designed a retrospective cohort study including 291 604 patients with a new office visit for NP in 2019. We developed 3 mutually exclusive exposure groups: the Chiropractic Manipulative Therapy (CMT) group received spinal manipulative therapy from a chiropractor with no primary care visits; the PDT group visited primary care and filled an analgesic prescription within 7 days without chiropractic care, and the Primary Care Only (PCO) group visited primary care without chiropractic care or analgesic prescriptions.
BMJ Public Health
September 2025
Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Introduction: Community belonging is a dimension of subjective well-being that is of growing public health interest for mitigating chronic disease. However, there is limited longitudinal evidence that such a relationship exists. We assessed the effect of community belonging on the subsequent 5-year risk of diabetes.
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