Reliability risks for two different types of through-silicon-vias (TSVs) are discussed in this paper. The first is a partially-filled copper TSV, if which the copper layer covers the side walls and bottom. A polymer is used to fill the rest of the cavity. Stresses in risk sites are studied and ranked for this TSV structure by FEA modeling. Parametric studies for material properties (modulus and thermal expansion) of TSV polymer are performed. The second type is a high aspect ratio TSV filled by polycrystalline silicon (poly Si). Potential risks of the voids in the poly Si due to filling defects are studied. Fracture mechanics methods are utilized to evaluate the risk for two different assembly conditions: package assembled to printed circuit board (PCB) and package assembled to flexible substrate. The effect of board/substrate/die thickness and the size and location of the void are discussed.
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http://dx.doi.org/10.3390/s17020322 | DOI Listing |
R Soc Open Sci
March 2025
School of Psychology, UNSW, Sydney, New South Wales 2052, Australia.
The goal of the Paris Agreement is to keep global temperature rise well below 2°C. In this agreement-and its antecedents negotiated in Copenhagen and Cancun-the fear of crossing a dangerous climate threshold is supposed to serve as the catalyst for cooperation among countries. However, there are deep uncertainties about the location of the threshold for dangerous climate change, and recent evidence indicates this threshold uncertainty is a major impediment to collective action.
View Article and Find Full Text PDFChin J Cancer Res
January 2025
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, China.
Objective: The neglect of occult lymph nodes metastasis (OLNM) is one of the pivotal causes of early non-small cell lung cancer (NSCLC) recurrence after local treatments such as stereotactic body radiotherapy (SBRT) or surgery. This study aimed to develop and validate a computed tomography (CT)-based radiomics and deep learning (DL) fusion model for predicting non-invasive OLNM.
Methods: Patients with radiologically node-negative lung adenocarcinoma from two centers were retrospectively analyzed.
Front Pharmacol
February 2025
Department of Drug Discovery and Development, GenFleet Therapeutics (Shanghai) Inc., Shanghai, China.
Introduction: The cytochrome P450 enzyme 3A4 (CYP3A4) mediates numerous drug-drug interactions (DDIs) by inducing the metabolism of co-administered drugs, which can result in reduced therapeutic efficacy or increased toxicity. This study developed and validated a Physiologically Based Pharmacokinetic (PBPK) model to predict CYP3A4 induction-mediated DDIs, focusing on the early stages of clinical drug development.
Methods: The PBPK model for rifampicin, a potent CYP3A4 inducer, was developed and validated using human pharmacokinetic data.
Cureus
February 2025
Department of Biochemistry, Government Medical College, Warangal, IND.
Background: Cardiovascular diseases (CVDs) are a major global health concern, with their prevalence rising significantly in developing regions like South India. This increase is driven by unique dietary patterns, lifestyle habits, and genetic predispositions contributing to the region's distinct cardiovascular risk profile. However, gaps remain in understanding the biochemical risk factors specific to this population.
View Article and Find Full Text PDFCureus
February 2025
Otolaryngology - Head and Neck Surgery, Hospital da Senhora da Oliveira, Guimarães, PRT.
Introduction: Obstructive sleep apnea syndrome (OSAS) is the most prevalent sleep-related breathing disorder associated with an increased risk of cardiovascular and cerebrovascular complications. Identifying the anatomical sites of airway obstruction is crucial for optimizing treatment, particularly in patients requiring surgical intervention. In recent years, drug-induced sleep endoscopy (DISE) has emerged as a valuable diagnostic tool for evaluating upper airway obstruction in OSAS patients.
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