Laser powder additive manufacturing (PBF-LB) is an additive manufacturing method capable of producing high-precision and fully dense parts. However, nondestructively quality assurance of no internal defects remains challenging. Mitigating internal defects requires elucidating their formation mechanism and improving the PBF-LB process conditions. Therefore, we developed an in-situ monitoring system that combines surface morphology measurement by fringe projection and thermal field measurement with a high-speed camera. On heterogeneous surfaces in a practical multi-track PBF-LB process, a roughness index of the built part surface altered cyclically, consistent with the change in the angle between laser scanning and atmospheric gas flow. The high-speed camera monitoring showed that the melt pool was asymmetrical and spindle-shaped and that spatter was emitted mainly from the built part side of the melt pool. Furthermore, it was found that the built-part surface morphology under the powder layer affected the stability of the melt pool. As a result, a graphical representation of the melt pool and spattering for heterogeneous surfaces was proposed. Although it is still difficult to theoretically estimate the process window in which no spattering and no internal defects, in-situ monitoring equipment will provide knowledge to elucidate spattering and internal defects formation.
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http://dx.doi.org/10.1038/s41598-022-24828-9 | DOI Listing |
World Neurosurg
January 2025
Department of Neurosurgery, SMS Medical College and Hospital, Jaipur, Rajasthan, India.
Objective: This study evaluates the extent of perfusion abnormalities in pediatric traumatic head injury patients by using computed tomography perfusion (CTP) and compares the efficacy of voxel based and whole brain perfusion data clinically with functional outcome scales GOSE-P and MRS.
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J Biol Chem
January 2025
Department of Neurology, Henry Ford Health, Detroit, MI 48202, USA. Electronic address:
Multiple sclerosis (MS) is a prevalent inflammatory neurodegenerative disease in young people, causing neurological abnormalities and impairment. To investigate a novel therapeutic agent for MS, we observed the impact of maresin 1 (MaR1) on disease progression in a well-known, relapsing-remitting experimental autoimmune encephalomyelitis (RR-EAE) mouse model. Treatment with MaR1 accelerated inflammation resolution, reduced neurological impairment, and delayed disease development by reducing immune cell infiltration (CD4+IL-17+ and CD4+IFNγ+) into the central nervous system (CNS).
View Article and Find Full Text PDFKidney Int
January 2025
Laboratório de Fisiopatologia Renal (LIM 16), Nephrology Department, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Universidade de São Paulo, São Paulo, Brazil. Electronic address:
In 2017, Kidney Disease: Improving Global Outcomes (KDIGO) published a Clinical Practice Guideline Update for the Diagnosis, Evaluation, Prevention, and Treatment of Chronic Kidney Disease-Mineral and Bone Disorder (CKD-MBD). Since then, new lines of evidence have been published related to evaluating disordered mineral metabolism and bone quality and turnover, identifying and inhibiting vascular calcification, targeting vitamin D levels, and regulating parathyroid hormone. For an in-depth consideration of the new insights, in October 2023, KDIGO held a Controversies Conference on CKD-MBD: Progress and Knowledge Gaps Toward Personalizing Care.
View Article and Find Full Text PDFJ Infect Dev Ctries
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Intensive Care Unit, Columbia Asia Hospital, Semarang, Indonesia.
Introduction: Hemoperfusion (HP), a blood filtration method targeting the removal of toxins and inflammatory elements, was investigated in this study. The objective was to present the observations in four individuals with confirmed COVID-19 who underwent several rounds of HP utilizing the HA330 cartridge at a hospital in Indonesia.
Case Studies: We report four cases of COVID-19 patients who underwent HP.
Sci Data
January 2025
School of Medicine, Anhui University of Science and Technology, Huainan, 232001, China.
Ultrasound is a primary diagnostic tool commonly used to evaluate internal body structures, including organs, blood vessels, the musculoskeletal system, and fetal development. Due to challenges such as operator dependence, noise, limited field of view, difficulty in imaging through bone and air, and variability across different systems, diagnosing abnormalities in ultrasound images is particularly challenging for less experienced clinicians. The development of artificial intelligence (AI) technology could assist in the diagnosis of ultrasound images.
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