Search Results (1,785)

Background: Care partners play a critical role in supporting physical activity among older adults. This study assesses how care partners’ attitudes to and engagement in physical activity relate to their perceived benefits of physical activity for older adults. Methods: For this cross-sectional study, 305 care partners completed validated surveys on the perceived benefits of physical activities among older adults (outcome), attitudes towards, and practices of physical activities (predictors). For all three surveys, higher scores indicate greater perceived benefit, more positive attitudes, and greater engagement in physical activities. We assessed the relationship between the predictor and outcome variables using multivariable quantile regression models adjusted for sociodemographic, caregiving, and health-related covariates. We reported the adjusted median difference (aMD) and 95% confidence intervals (CI). Results: The population was predominantly young adults (18–34 years, 58%), female (53%), who had been providing caregiving services for three or more years (43%). The median perceived physical activity benefit for older adults, personal attitude toward physical activity, and physical activity practice scale scores were 60.0 (52.0–66.0), 29.0 (25.0–33.0), and 33.0 (28.0–39.0), respectively. After adjusting for covariates, a unit increase in both attitude towards physical activity (aMD: 1.14; 95% CI: 0.96–1.33) and physical activity practice (aMD: 0.60; 95% CI: 0.45–0.75) was associated with increased median score of perceived benefit of physical activity among older adults. Conclusions: Care partners with positive attitudes and greater engagement in their personal physical activity perceive physical activities as beneficial for older adults. Full article

Acidic mine drainage (AMD) poses a severe global environmental threat due to its high acidity and elevated levels of toxic hexavalent chromium (Cr(VI)), for which biogenic iron sulfide (FeS) nanoparticles have emerged as a promising remediation agent; however, their practical application is hindered by aggregation and oxidative deactivation. This research synthesized biogenic FeS nanoparticles via sulfate-reducing bacteria (SRB) and employed humic acid (HA) as a stabilizing agent to enhance Cr(VI) removal performance in simulated AMD conditions. Single-factor experiments combined with response surface methodology identified the optimal biosynthetic conditions for FeS: yeast extract powder dosage of 2.2 g/L, Fe/S molar ratio of 0.8, and NH₄Cl dosage of 3.1 g/L. Under these conditions, the material achieved 84.25% Cr(VI) removal, with the Fe/S molar ratio identified as the most influential parameter governing synthesis and performance. Introducing HA at an optimal dosage of 2 mg/L drove marked improvements in both nanoparticle yield and reactivity: FeS yield increased to 1096.26 mg/L, Cr(VI) removal efficiency reached 99.62%, and residual Cr(VI) dropped from 15.75 mg/L to just 0.38 mg/L. Kinetic and isotherm analyses, paired with SEM/TEM imaging and zeta potential measurements, revealed that HA stabilization improved particle dispersion and reduced lamellar stacking, resulting in a surface-controlled Cr(VI) removal process. FTIR and 2D-COS analyses demonstrated that HA-derived oxygen-containing functional groups, including O–H/N–H, C=O, and C–O moieties, played a central role in interfacial interactions during Cr(VI) sequestration. XRD results confirmed that Cr(VI) was reduced to Cr(III) and primarily immobilized as low-solubility CrOOH and Cr₂S₃, while the formation of Fe–Cr spinel-like phases remains tentative without X-ray Photoelectron Spectroscopy (XPS) validation. Further investigation via surface-sensitive spectroscopy and dynamic leaching tests is needed to fully assess the long-term stability of the reaction products. Full article

Oxidative stress-induced RPE cell death is a major cause of AMD pathogenesis. However, the exact modes of oxidative stress-driven retinal death remain elusive. To address this knowledge gap, we investigated the role of DJ-1, an antioxidant protein we previously characterized in the retina, in cell death regulation. Specifically, we analyzed cell death pathways in the retinas of DJ-1 knockout (KO) mice, with or without sodium iodate (NaIO₃) injection. We quantified MAPK signaling protein activation by Western blot. The distribution of the cell death executioners, activated caspase 3, and pMLKL, was investigated. The effects of caspase and necroptosis inhibitors in mice previously injected with NaIO₃ were determined. Significant increases in JNK1/2 activation and FOXO1 levels were detected in RPE lysates when DJ-1 KO mice were injected with 10 mg/kg NaIO₃. The immunoreactivity of active caspase-3 and pMLKL was stronger in the retinas of DJ-1 KO compared with C57BL mice. These immunoreactivities further increased in the degenerating outer retina post NaIO₃ injection and were stronger in the retina of DJ-1 KO compared with C57BL mice at both doses of NaIO₃. ZVAD treatment rescued retinal degeneration to varying degrees in DJ-1 KO mice. However, necrostatin (Nec-1) alleviated retinal degeneration in both DJ-1 KO and C57BL mice, suggesting that apoptosis is a major cell death modality in the absence of DJ-1. Overall, oxidative stress-induced RPE and retinal cell death involve activation of both apoptosis and necroptosis in the absence of DJ-1. Full article

Waste milk (WM) on dairies is commonly fed to pre-weaned calves, raising concerns about antimicrobial drug (AMD) residues and their potential role in selecting for antimicrobial-resistant bacteria in their gut microbiota. The current observational study assessed AMD residue prevalence in WM and examined associations with AMR patterns in its bacterial isolates. Over a 10-month period, 40 WM samples were collected from eight dairies across Northern California, Northern San Joaquin Valley, and Greater Southern California. ELISA was used to detect six AMD residues, and bacterial isolates (n = 348), including coliforms, Streptococcus spp., Staphylococcus spp., and Staphylococcus aureus, were tested for AMR. Antimicrobial resistance was evaluated using the broth microdilution test, and associations with the presence of residues were analyzed via interval-censored accelerated failure time models. Ceftiofur was the most frequently detected residue (30%), followed by penicillin (5%), florfenicol (5%), and sulfadimethoxine (5%). Resistance varied by bacterial species, with significant associations observed between florfenicol residues and resistance in coliforms (MIC ratio = 2.12; p < 0.01), and between ceftiofur residues and resistance in Streptococcus spp. (MIC ratio = 10.51; p = 0.03). These findings suggest that WM may contain low-level AMD residues linked to elevated AMR, highlighting the need for targeted antimicrobial stewardship practices to mitigate AMR dissemination in dairy calves. Full article

Data in multi-tenant cloud environments is increasingly shared across organizations, making strong in-memory isolation a critical requirement. Existing confidential computing mechanisms such as AMD SEV provide hardware-enforced protection, but they require specialized processors and incur non-trivial performance overhead, which limits their deployment in heterogeneous clouds. This paper presents DASPRI, a software-based approach that constructs an isolated execution environment for trusted virtual machines by combining dual address spaces with privilege restriction. DASPRI partitions physical memory into a normal region and an isolated region on NUMA systems, and steers all memory allocations of trusted VMs into the isolated region by monitoring page faults and kernel allocation paths. It further hardens the isolated region by mediating direct and dynamic kernel mappings and by maintaining separate page caches for trusted and normal VMs. Remote attestation is integrated to protect the integrity of metadata used to identify trusted VMs. We implement DASPRI on a HUAWEI Kunpeng AArch64 server running OpenEuler and evaluate it using microbenchmarks and UnixBench. Experimental results show that DASPRI enforces strong memory isolation with less than 5% overhead on basic system operations and only 1.3% degradation in overall host performance. Full article

Background: Higher intake of omega-3 fatty acids from food sources is associated with a reduced risk of age-related macular degeneration (AMD), but there are no recommended parameters for omega-3 fatty acid supplementation. The purpose of our study was to investigate whether fish oil supplementation protects against development of AMD in the US Veteran Affairs (VA) Corporate Data Warehouse. Methods: Patients ≥ 55 years without an AMD diagnosis at the initial eye examination who also had a 5-year follow up eye examination were included in this retrospective cohort study. Patients receiving fish oil supplementation from the VA pharmacy were categorized into the fish oil exposure group and matched 1:1 to a non-exposure control group. All patients were assessed for AMD development at the 5-year follow up eye examination. Results: AMD developed in 772 of 16,172 patients (4.8%) with fish oil exposure and 635 of 16,093 (3.9%) without fish oil exposure (relative risk (RR) = 1.21, 95% confidence interval (CI) = 1.09–1.34, p = 0.0003). Compared to controls, AMD risk was similar in low-dose (RR = 0.91; 95% CI = 0.65–1.27) and moderate-dose (RR = 0.93; 95% CI = 0.79–1.10) fish oil supplementation but higher in high-dose fish oil supplementation (RR = 1.32; 95% CI = 1.19–1.47). Conclusions: Fish oil supplementation did not protect against AMD in a US veteran population. Full article

Objectives: The objective of this study was to investigate choroidal structural alterations and evaluate the outcomes of switching to faricimab in patients with neovascular age-related macular degeneration (nAMD) previously treated with other anti-vascular endothelial growth factor (anti-VEGF) therapies after 12 months of follow-up. Methods: We performed a retrospective study of 30 eyes from 30 patients with nAMD who were switched to faricimab. The choroidal vascularity index (CVI), best-corrected visual acuity (BCVA), central macular thickness (CMT), subfoveal choroidal thickness (CST), and the presence of subretinal fluid, intraretinal fluid, and wet macula were assessed at baseline and after 6 and 12 months. Results: CVI remained stable during follow-up (p > 0.05). BCVA improved significantly after 6 months (p = 0.041), but not at 12 months (p = 0.075). A significant reduction in CMT was observed (p < 0.05). Additionally, wet macula improved after 12 months (p < 0.05). Moreover, treatment intervals increased from 7.53 ± 2.39 to 12.47 ± 4.51 weeks. Conclusions: Switching to faricimab in patients with nAMD previously treated with other anti-VEGF therapies was associated with anatomical improvement, extended treatment intervals, and short-term visual gains, while choroidal vascular structure was maintained. Nonetheless, additional studies are warranted to more comprehensively evaluate the effectiveness of switching to faricimab, as well as the associated changes in choroidal vascular structure. Full article

Sine and cosine wave synthesis is utilized for generating sinusoidal-like values in the digital domain. While this task is commonly handled through software, dedicated hardware like Direct Digital Synthesis (DDS) is also available. However, both methods rely on memory resources, such as look-up tables and Read-Only Memories (ROMs), which face latency limitations related to additional memory access times on top of additional $Si$ area. With the advent of real-time arithmetic for sine wave approximation, this paper presents a digital module that employs iterative multiply-accumulate (MAC) operations for sine and cosine synthesis. To support the integration of this module into Systems-on-Chip (SoCs), Field-Programmable Gate Arrays (FPGAs), and standalone Application-Specific Integrated Circuits (ASICs), a comprehensive figure of merit (FoM) comparison against various ROM-less methods is provided. When implemented on a Xilinx (AMD) XC7A100T-3CSG324 FPGA, the proposed architecture compared to other ROM-less solutions like the Taylor approximation, achieves 80.80% lower resource utilization, 80.89% reduced propagation delay, and 36.66% higher accuracy in sine and cosine wave approximation, both operating as 32-bit systems with one sample per clock cycle. Furthermore, the proposed sine accelerator, accompanying control and communication IPs, and custom firmware were deployed on an FPGA-based function generator platform and experimentally validated. Full article

Soybean is a critical oil and protein crop for both food and forage production; however, its growth and development are severely impacted by drought stress. Nevertheless, the molecular regulatory mechanisms underlying drought tolerance in soybean remain poorly understood. In this study, two soybean varieties, Jindou 21 (JD21, drought-tolerant) and Suinong 26 (SN26, drought-sensitive), were used as experimental materials and subjected to 15% PEG6000 to simulate drought stress. Roots and leaves were sampled at 0 h, 6 h, and 12 h after treatment to determine physiological indicators and conduct RNA-seq analysis. The results showed that JD21 exhibited a lower malondialdehyde (MDA) content but higher soluble sugar and proline contents than SN26. A total of 2603 and 3128 osmotic-stress-responsive genes were identified in the roots and leaves of SN26 and JD21, respectively. Additionally, 256 genes in the roots and 215 genes in the leaves showed consistent differential expression between the two varieties across the three treatment time points. KEGG enrichment analysis revealed that the differentially expressed genes were significantly enriched in pathways related to glutathione metabolism, arginine and proline metabolism, glycolysis/gluconeogenesis, and starch and sucrose metabolism. Within these pathways, the functions of GmGST, GmAMD1, GmADH1, GmENO, GmsacA, and GmSUS3 were validated through transgenic hairy root assays, demonstrating that these genes play positive regulatory roles in osmotic stress response. This study provides valuable data for elucidating plant PEG-induced osmotic-stress-response mechanisms and offers theoretical support for drought-resistant soybean breeding. Full article

Low-saturated hydraulic conductivity covers (LSHCC) or hydraulic barriers are one of the reclamation techniques used to control the acid mine drainage generation (AMD). These covers are intended to limit the infiltration of water into reactive tailings. Compacted clays are among the materials used as LSHCC. The performance of clay-based hydraulic barriers can be affected by their geotechnical and hydrogeological properties. Freeze–thaw cycles can increase their saturated hydraulic conductivity (k_sat). However, these effects can be minimized by adding amendments. To evaluate the performance of these clay-based covers, four field experimental cells were built. The first one simulates a cover composed entirely of clay, the second a clay–silt mixture, the third a clay–sand mixture and the last two layers of clay with an intermediate layer of silt. Each cell has been equipped with a monitoring station with continuous measurements of volumetric water content, suction and temperature. In situ permeability tests were also conducted to assess field hydraulic conductivity. Numerical simulations were also conducted to evaluate the water balance for each cover scenario. The laboratory results showed low-saturated hydraulic conductivity values meeting waterproofing criteria, whereas field measurements and calibrated model values were consistently higher and exceeded the waterproofing criteria. Infiltration monitoring indicated that 15 to 40% of precipitation infiltrated the covers, with possible overestimation due to preferential flow. Discrepancies between laboratory and field-saturated hydraulic conductivity values were mainly attributed to inadequate compaction, unfavorable weather conditions, and excessive water content during cover installation. Variations in saturated hydraulic conductivity over time were generally within statistical variability, although differences among cells and responses to wetting–drying cycles highlight the influence of construction conditions on field performance. Full article

Background: Age-related Macular Degeneration (AMD) is a leading cause of irreversible vision loss, particularly in the elderly. Optical Coherence Tomography (OCT), a noninvasive imaging modality, is widely used for retinal disease detection. However, the limited availability of labeled OCT datasets poses a significant challenge, making semi-supervised learning a promising approach. This study introduces a novel Iterative Teacher-Student (ITS) framework, which refines pseudo-labeling strategies to improve AMD detection accuracy, particularly in low-data scenarios. Methods: Initially, an optimal supervised model based on EfficientNet was developed to classify AMD using a dataset from Noor Eye Hospital, consisting of 16,822 OCT images. The dataset size was then progressively reduced to 70%, 50%, 20%, and 5% to evaluate model performance under data scarcity. Unlike conventional semi-supervised learning approaches, our ITS framework iteratively refines pseudo-labels, ensuring more reliable knowledge transfer from teacher to student models. Results: The optimized supervised model achieved 87.14% accuracy in AMD classification. As dataset size decreased to 20% and 5%, accuracy declined to 77.05% and 54.78%, respectively. Implementing the ITS framework improved accuracy to 88.56% at 20% and 64.15% at 5%, outperforming traditional semi-supervised methods. Conclusions: This study highlights the potential of semi-supervised learning, particularly our iterative teacher-student approach, to enhance AMD detection when labeled OCT data are scarce. The proposed framework introduces a novel iterative refinement strategy, which can serve as a foundation for future research in retinal disease diagnosis with limited labeled datasets. Full article

Background: Age-related macular degeneration (AMD) is a leading cause of vision loss and is strongly associated with mitochondrial dysfunction in retinal pigment epithelial cells. Mitochondrial-derived peptides, including Humanin and its analogs, have demonstrated cytoprotective effects in AMD-related cellular models. However, the effects of shorter Humanin-derived fragments in disease-specific mitochondrial models remain incompletely characterized. Methods: Transmitochondrial retinal pigment epithelial cybrid cell lines containing mitochondria from AMD patients or age-matched normal donors were treated with HNF₁₄, a 14-amino acid Humanin fragment peptide. Cellular metabolic activity, cytotoxicity, oxidative stress, apoptotic signaling, inflammatory markers, angiogenic factor expression, and amyloid-β_1–42-induced apoptosis were evaluated using biochemical assays, protein analyses, and live-cell imaging approaches. Results: HNF₁₄ treatment was associated with improved metabolic activity and reduced cytotoxicity in AMD cybrids, with minimal effects in normal cybrids. HNF₁₄ significantly reduced intracellular and mitochondrial oxidative stress, suppressed apoptotic and inflammatory markers, and decreased VEGF-A protein expression in AMD cybrids. In addition, HNF₁₄ attenuated amyloid-β_1–42-induced apoptotic signaling in AMD cybrids. These effects were selective for cybrids containing AMD-derived mitochondria. Conclusions: This study demonstrates that HNF₁₄ mitigates mitochondrial and cellular stress responses in AMD transmitochondrial cybrid cells. The findings indicate that a short Humanin-derived fragment retains cytoprotective activity in a disease-specific mitochondrial context and support further investigation of mitochondrial-derived peptides as modulators of mitochondrial dysfunction relevant to AMD pathophysiology. Full article

Background/Objectives: Age-related macular degeneration (AMD) is a leading cause of irreversible central vision loss in older adults. Detection of referable AMD—typically intermediate or advanced disease requiring specialist evaluation—is critical for timely intervention. Deep learning (DL) applied to color fundus photographs has emerged as a potential tool to support large-scale AMD screening. This systematic review and meta-analysis evaluated the diagnostic accuracy of DL algorithms for detecting referable AMD and compared their performance with human graders. Methods: We systematically searched PubMed, Embase, Web of Science, and IEEE Xplore through 18 December 2025. Diagnostic accuracy studies assessing DL algorithms on color fundus photographs for referable AMD in adults were included. Two reviewers independently screened studies, extracted data, and assessed risk of bias using an AI-adapted PROBAST framework. Pooled sensitivity and specificity were estimated using a bivariate random-effects model. Clinical utility was evaluated using likelihood ratios, and paired head-to-head comparisons were synthesized using a contrast-based meta-analysis. Results: Fourteen studies were included. DL algorithms achieved a pooled sensitivity of 0.91 (95% CI: 0.86–0.94) and specificity of 0.93 (95% CI: 0.86–0.96), with substantial heterogeneity. The pooled positive and negative likelihood ratios were 12.22 and 0.10, respectively, indicating strong diagnostic utility. In direct comparisons, DL systems showed slightly lower sensitivity but higher specificity than human graders. Conclusions: Deep learning demonstrates high diagnostic accuracy for detecting referable AMD from fundus photographs and may support screening and referral workflows. Further prospective validation and standardized evaluation are needed before widespread clinical implementation. Full article

Gold mining in South Africa’s Witwatersrand Basin represents a critical case study of mining-induced environmental degradation affecting interconnected ecological and human systems. While the cascading effects of acid mine drainage (AMD), originating from a legacy of approximately 270 tailings dams containing 6 billion tons of FeS₂ waste and 600,000 tons of residual uranium, are widely documented, this evidence often remains fragmented. This study applies a systematic, framework-based analytical approach that integrates multidisciplinary evidence from geochemical, ecological, agricultural, and public health research within a One Health/EcoHealth perspective. Qualitative field observations are used to contextualize and validate the analytical synthesis along the water–soil–food–human continuum. A four-pathway conceptual model, including environmental dispersion, biotic uptake, trophic transfer, and direct human exposure, is developed to structure and interpret the integrated findings. The results demonstrate that mining-derived contaminants propagate through interconnected pathways, leading to persistent contamination of water resources, agricultural systems, and human communities, particularly within the Wonderfonteinspruit watershed. Evidence synthesized across pathways reveals extreme bioaccumulation and exposure levels and elevated uranium levels in the hair of local children. The study concludes that the impacts of acid mine drainage constitute a systemic socio-ecological failure driven by cumulative and interacting exposure pathways that cannot be effectively addressed through sectoral or single-medium interventions. The principal contribution of this research is the development of an operational, transferable framework that enables integrated risk assessment and supports evidence-based management and remediation strategies in post-mining landscapes. Full article

Age-related macular degeneration (AΜD) remains a leading cause of irreversible vision loss. Ιn neovascular AΜD (nAΜD), frequent intravitreal anti-VΕGF injections create substantial treatment burden, while approved therapies for geographic atrophy (GA) provide modest slowing of progression. Ocular gene therapy aims to achieve sustained intraocular expression of therapeutic proteins after a single administration. Τhis review summarises the biological rationale, vector platforms, and delivery routes relevant to AΜD, with emphasis on adeno-associated virus (AAV) systems, capsid engineering, and compartment-specific administration (intravitreal, subretinal, and suprachoroidal). We synthesise the clinical landscape for sustained anti-VΕGF expression approaches in nAΜD and complement-modulating strategies for GA, and highlight how trials increasingly prioritise injection-burden reduction, anatomical endpoints, and biomarkers of target engagement. Κey challenges include intraocular inflammation and neutralising antibodies (particularly with intravitreal dosing), variability and durability of transgene expression, surgical risks associated with subretinal delivery, and practical constraints related to manufacturing scale, cost, and long-term safety surveillance for non-removable therapies. Overall, gene therapy offers a plausible route towards durable, mechanism-targeted AΜD management, but its clinical role will depend on robust controlled trials and multi-year follow-up. Full article