Mechanical Behavior of Topology-Optimized Lattice Structures Fabricated by Additive Manufacturing.

Lattice-based metamaterials have attracted much attention due to their excellent mechanical properties. Nevertheless, designing lattice materials with desired properties is still challenging, as their mesoscopic topology is extremely complex. Herein, the bidirectional evolutionary structural optimization (BESO) method is adopted to design lattice structures with maximum bulk modulus and elastic isotropy.

Oxygen vacancy-rich defective CoO-RuO heterostructure catalysts for efficient acidic oxygen evolution reaction.

This study develops a CoO-RuO heterojunction catalyst for the acidic oxygen evolution reaction (OER). The presence of oxygen vacancies at the heterointerface, along with the electronic coupling synergistically enhances OER activity. This results in a low overpotential of 218 mV at 10 mA cm, demonstrating its potential for efficient hydrogen production through proton exchange membrane water electrolysis.

Grandparenting and Coresidence Preferences in Shanghai, China: The Influence of Grandparenting Beliefs, Experiences, and Intensity.

Objectives: This study aims to examine the living arrangement preferences of older adults in Shanghai, China, with a focus on grandparenting as a shaping factor.

Methods: This study utilizes data from the 2022 LEAP-SH (Lifelong Education for Aging Productively in Shanghai) survey, which included 1,707 older adults aged 55 to 85. Since this study focuses on grandparenting, respondents without grandchildren were excluded, resulting in an analytical sample of 1,250 individuals.

Predicting Postoperative Blood Transfusion in Elderly Patients Undergoing Total Hip and Knee Arthroplasty Using Machine Learning Models.

Purpose: With the aging population, the demand for total hip arthroplasty (THA) and total knee arthroplasty (TKA) has risen significantly. Elderly patients, especially those over 70 years, face a higher risk of perioperative bleeding and transfusion, increasing morbidity and mortality. Accurate transfusion risk prediction is vital for optimizing perioperative blood management.

Efficacy of Percutaneous Spinal Endoscopic YESS Technique in Adjacent Segmental Disease Without Severe Instability After Lumbar Fusion Surgery: A Case Series.

Background: The adjacent segment disease (ASD) after lumbar fusion is inherently stressed abnormally, and the destruction of bony structures in surgery can further exacerbate that abnormality. The Yeung Endoscopic Spine Surgery (YESS) technique does not destroy facet joints, and therefore it may be a good indication for ASD. However, the efficacy of the YESS technique in ASD patients have not been reported.

3D-AttenNet model can predict clinically significant prostate cancer in PI-RADS category 3 patients: a retrospective multicenter study.

Purposes: The presence of clinically significant prostate cancer (csPCa) is equivocal for patients with prostate imaging reporting and data system (PI-RADS) category 3. We aim to develop deep learning models for re-stratify risks in PI-RADS category 3 patients.

Methods: This retrospective study included a bi-parametric MRI of 1567 consecutive male patients from six centers (Centers 1-6) between Jan 2015 and Dec 2020.

DIFLF: A domain-invariant features learning framework for single-source domain generalization in mammogram classification.

Background And Objective: Single-source domain generalization (SSDG) aims to generalize a deep learning (DL) model trained on one source dataset to multiple unseen datasets. This is important for the clinical applications of DL-based models to breast cancer screening, wherein a DL-based model is commonly developed in an institute and then tested in other institutes. One challenge of SSDG is to alleviate the domain shifts using only one domain dataset.

Radiomics for differential diagnosis of Bosniak II-IV renal masses via CT imaging.

Rationale And Objectives: The management of complex renal cysts is guided by the Bosniak classification system, which may be inadequate for risk stratification of patients to determine the appropriate intervention. Radiomics models based on CT imaging may provide additional useful information.

Materials And Methods: A total of 322 patients with Bosniak II-IV cysts were included in the study from January 2010 to December 2019.

Artificial intelligence-based personalized clinical decision-making for patients with localized prostate cancer: surgery versus radiotherapy.

Background: Surgery and radiotherapy are primary nonconservative treatments for prostate cancer (PCa). However, personalizing treatment options between these treatment modalities is challenging due to unclear criteria. We developed an artificial intelligence (AI)-based model that can identify patients with localized PCa who would benefit more from either radiotherapy or surgery, thereby providing personalized clinical decision-making.

Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics.

Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying patients who may benefit from AS relies on unpleasant prostate biopsies, which entail the risk of bleeding and infection. In the current study, we aimed to develop a radiomics model based on prostate magnetic resonance images to identify AS candidates non-invasively.

China's aging population: A review of living arrangement, intergenerational support, and wellbeing.

China's rapid population aging and remarkable family-level changes have raised concerns about the weakening of its family-based elderly care. The last decade indeed has seen a clear departure from multigenerational living to alternative living arrangements such as living with spouse only and solo living. However, ample evidence suggests that Chinese families have demonstrated considerable resilience amidst profound sociodemographic changes.

The transition of eldercare responsibility and traditional filial piety concepts and its urban-rural differences in China: an age-period-cohort analysis from 2006 to 2017.

Background: With rapid urbanization, massive migration, and non-family-based eldercare involvement, Chinese concepts of eldercare responsibility and filial piety are shifting. We performed age-period-cohort (APC) analyses to assess the transition of old-age pension coverage, eldercare responsibility, and filial piety concepts and its urban-rural differences among Chinese adults using data from the China General Social Survey (2006-2017).

Methods: Old-age pension coverage (yes/no) and primary eldercare responsibility (government/offspring/self/sharing) were investigated in 2010, 2012, 2013, 2015, and 2017.

Bibliometric study and visualization of cellular senescence associated with osteoarthritis from 2009 to 2023.

Background: Osteoarthritis is a common degenerative joint disease that is highly prevalent in the elderly population. Along with the occurrence of sports injuries, osteoarthritis is gradually showing a younger trend. Osteoarthritis has many causative factors, and its pathogenesis is currently unknown.

Construction of MnOMnO heterostructures to facilitate high-performance aqueous magnesium ion energy storage.

MnO-MnO heterostructure materials are applied in aqueous magnesium ion energy storage for the first time. The heterostructure yields an exceptionally high pseudocapacitance contribution, resulting in a specific capacitance of 313.5 F g at 1 A g, which contrasts with that of MnO (108.

Utility of contrast-enhanced MRI radiomics features combined with clinical indicators for predicting induction chemotherapy response in primary central nervous system lymphoma.

Purpose: To assess the utility of combining contrast-enhanced magnetic resonance imaging (CE-MRI) radiomics features with clinical variables in predicting the response to induction chemotherapy (IC) for primary central nervous system lymphoma (PCNSL).

Methods: A total of 131 patients with PCNSL (101 in the training set and 30 in the testing set) who had undergone contrast-enhanced MRI scans were retrospectively analyzed. Pyradiomics was utilized to extract radiomics features, and the clinical variables of the patients were gathered.

The Application of CT Radiomics in the Diagnosis of Vein Wall Invasion in Patients With Renal Cell Carcinoma Combined With Tumor Thrombus.

Objective: The objective of this study was to explore the application of radiomics combined with machine learning to establish different models to assist in the diagnosis of venous wall invasion in patients with renal cell carcinoma and venous tumor thrombus and to evaluate the diagnostic efficacy.

Materials And Methods: We retrospectively reviewed the data of 169 patients in Peking University Third Hospital from March 2015 to January 21, who was diagnosed as renal mass with venous invasion. According to the intraoperative findings, 111 patients were classified to the venous wall invasion group and 58 cases in the non-invasion group.

N-Doped Porous Carbon-Nanofiber-Supported FeC/FeO Nanoparticles as Anode for High-Performance Supercapacitors.

Exploring anode materials with an excellent electrochemical performance is of great significance for supercapacitor applications. In this work, a N-doped-carbon-nanofiber (NCNF)-supported FeC/FeO nanoparticle (NCFCO) composite was synthesized via the facile carbonizing and subsequent annealing of electrospinning nanofibers containing an Fe source. In the hybrid structure, the porous carbon nanofibers used as a substrate could provide fast electron and ion transport for the Faradic reactions of FeC/FeO during charge-discharge cycling.

What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments?

The present study aimed to explore the potential of artificial intelligence (AI) methodology based on magnetic resonance (MR) images to aid in the management of prostate cancer (PCa). To this end, we reviewed and summarized the studies comparing the diagnostic and predictive performance for PCa between AI and common clinical assessment methods based on MR images and/or clinical characteristics, thereby investigating whether AI methods are generally superior to common clinical assessment methods for the diagnosis and prediction fields of PCa. First, we found that, in the included studies of the present study, AI methods were generally equal to or better than the clinical assessment methods for the risk assessment of PCa, such as risk stratification of prostate lesions and the prediction of therapeutic outcomes or PCa progression.

Improved antioxidant activity of rutin via lipase-mediated esterification with oleic acid.

Background: Oxidation is a major problem for oils and fats, which can be mitigated by antioxidants. Rutin has excellent antioxidant activity, but its poor lipid solubility greatly limits its practical application. In this study, an efficient enzymatic synthesis route of lipophilic rutin ester was established using oleic acid as an acyl donor, and the antioxidant potential of rutin oleate was evaluated for the first time by proton ( H) nuclear magnetic resonance (NMR) spectroscopy.

Ultrafast Electron Transfer Dynamics of Organic Polymer Nanoparticles with Graphene Oxide.

We prepared organic polymer poly-3-hexylthiophene (p3ht) nanoparticles (NPs) and graphene oxide (GO)/reduced graphene oxide (RGO) composites p3ht NPs-GO/RGO by using the reprecipitation method. We demonstrated that GO/RGO could improve the ordering and planarity of p3ht chains as well as the formation of p3ht NPs, and confirmed the effects of GO/RGO on the fluorescence and carrier transport dynamics of p3ht NPs by using femtosecond fluorescence upconversion and transient absorption (TA) techniques. Ultrafast electron transfer (∼1 ps) between GO/RGO and p3ht NPs quenched the fluorescence of p3ht NPs, indicating excellent properties of p3ht NPs-GO/RGO as the charge transfer complexes.

Ultrafast charge transfer dynamics of Rhodamine B with graphene oxide.

Graphene and its derivatives, due to their two-dimensional carbon nanostructures, have provided new opportunities to fortify organic dye-based photovoltaic and photocatalytic assemblies. In this article, we employed organic dyes Rhodamine B (RdB) and graphene oxide (GO) [or reduced graphene oxide (RGO)] to assemble the composite materials RdB-GO and RdB-RGO. It was found that both GO and RGO could strongly quench the fluorescence (FL) intensity of RdB.

Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.

Purpose: This study aimed to develop deep learning (DL) models based on multicentre biparametric magnetic resonance imaging (bpMRI) for the diagnosis of clinically significant prostate cancer (csPCa) and compare the performance of these models with that of the Prostate Imaging and Reporting and Data System (PI-RADS) assessment by expert radiologists based on multiparametric MRI (mpMRI).

Methods: We included 1861 consecutive male patients who underwent radical prostatectomy or biopsy at seven hospitals with mpMRI. These patients were divided into the training (1216 patients in three hospitals) and external validation cohorts (645 patients in four hospitals).

A review of healthy aging in China, 2000-2019.

In 2021, China became an aged society when the share of its elderly population (age 65 years and above) exceeded 14%. In China, as in other upper-middle-income and high-income countries, life expectancy gains are increasingly concentrated at older ages with below-average health and economic activity. Governments worldwide are hence actively pursuing healthy and productive aging.

Tunable ultrafast electron transfer in WSe-graphene heterostructures enabled by atomic stacking order.

Efficient interfacial light-electric interconversion in van der Waals (vdW) heterostructures is crucial for their optoelectronic applications. However, an in-depth understanding of the necessary process for device operation, namely interfacial charge transfer (CT), has thus far remained elusive. In this study, by using photon energy-dependent transient THz spectroscopy, we complementarily investigate the interfacial CT process in heterostructures comprising monolayers of WSe and graphene with varying stacking orders on a sapphire substrate.