Search Results (6,505)

Background: Non-motor symptoms in Parkinson’s disease (PD) consist of a wide spectrum of gastrointestinal impairment, urinary dysfunction, sleep disturbances, fatigue and psychiatric disorders. Mood disorders like anxiety and depression are linked to general well-being and overall quality of life, therefore influencing the amount and quality of restful sleep that the patients can achieve. Objectives: The aim of this study is to determine the prevalence and characteristics of anxiety and depression in PD and to identify the factors that correlate with sleep disturbances. Methods: We conducted a case–control study which included 131 PD patients and 131 controls. Descriptive data was collected, and validated scales and questionnaires regarding sleep, motor symptoms and symptoms related to anxiety and depression were administered. Patients were divided into groups by the presence or absence of sleep disorders (“bad sleepers” and “good sleepers”) and by the presence or absence of anxiety and depression. Comparative analysis was performed. Results: PD patients reported more clinically significant depression than controls and those with concomitant sleep impairment scored higher on depression- and anxiety-specific scales than their better-sleeping counterparts. Age, motor status and sleep impairment were found to be factors associated with depression in PD patients. The presence of sleep disorders was also associated with anxiety. Conclusions: Depression and anxiety are frequent in PD and are associated with comorbid sleep disturbances. Full article

Population ageing has led to a rapid increase in the number of individuals aged 80 and above, yet empirical evidence on the determinants of quality of life among the oldest-old remains limited. This study investigates the socioeconomic, lifestyle, and care-related factors associated with functional independence at very advanced ages using harmonized cross-national data from the Survey of Health, Ageing and Retirement in Europe (SHARE). Focusing on individuals aged 80 and above, we estimate logistic regression models to examine the probability of experiencing limitations in activities of daily living (ADL). The results reveal a persistent socioeconomic gradient in functional health: educational attainment is significantly associated with lower odds of ADL limitations, even after controlling for age, gender, physical functioning, living arrangements, and country fixed effects. Preserved physical functioning, proxied by the absence of walking difficulties, emerges as a strong protective factor against functional dependency. By contrast, institutional residence does not exhibit an independent association with ADL limitations once individual characteristics are taken into account. These findings demonstrate that functional independence among the oldest-old reflects long-term life-course resources and lifestyle-related capacities rather than late-life care settings alone. Policies aimed at promoting successful ageing should therefore adopt a life-course perspective, emphasizing education, health literacy, and the maintenance of physical functioning to enhance quality of life at very advanced ages. Full article

Background/Objectives: Poly(lactic-co-glycolic acid) (PLGA) microspheres offer sustained drug delivery but often suffer from broad particle size distribution (PSD), leading to inconsistent release profiles. This study investigates wet sieving as a post-processing strategy to precisely control PSD, quantified by the Span value, and evaluates its impact on the performance of triamcinolone acetonide (TA)-loaded PLGA microspheres. Methods: Triamcinolone acetonide-loaded PLGA microspheres were prepared via emulsification-solvent evaporation. Wet sieving was employed as a post-processing strategy to obtain distinct particle size fractions and groups with defined polydispersity (Span values). The microspheres were characterized for particle size distribution, drug loading, surface morphology, and in vitro release kinetics. To establish the in vivo relevance of polydispersity control, the pharmacokinetic profiles of different Span groups were first determined using LC-MS/MS following intra-articular injection in rats. Subsequently, their therapeutic efficacy was evaluated in a rat model of knee osteoarthritis, with outcomes assessed by joint swelling measurement and histopathological analysis. Results: Microspheres were prepared, fractionated into distinct size groups (0–20, 20–28, 28–40, 40–50, >50 μm) and polydispersity groups (Span = 1.4, 0.8, 0.5). We identified Span as a dominant factor independent of mean particle size. Reducing the Span from 1.4 to 0.5 significantly decreased burst release (24.15% to 14.51%), prolonged mean residence time (MRT 88.52 to 123.53 h), and enhanced anti-inflammatory and cartilage-protective effects in a rat model of knee osteoarthritis. Conclusions: This work establishes Span ≤ 0.5 as a critical quality attribute and presents wet sieving as a simple, effective method to ensure batch-to-batch consistency and predictable in vivo performance for PLGA microsphere products. Full article

The contamination of groundwater in karst coal mining areas presents a unique environmental challenge due to the interplay between fragile hydrogeology and intensive anthropogenic activity. This study investigated the concentrations, sources, and health risks of characteristic contaminants in groundwater from a karst coal mining area, aiming to provide a scientific basis for groundwater pollution control. Thirty-two groundwater samples were analyzed for nine target contaminants. Principal component analysis (PCA) and a health risk assessment model were integrated to identify pollution sources and evaluate health risks. Results showed that the concentrations of Fe, Mn, Fluoride, Pb, and Sulfate exceeded the Class III limits of the “Standard for Groundwater Quality” (GB/T 14848-2017), with maximum exceedance multiples of 3.60, 1.51, 1.08, and 1.22 times the standard limits, respectively. The maximum concentrations of Mn, Fluoride, and Pb exceeded the WHO guidelines by factors of 4.75, 0.67, and 1.00, respectively. Furthermore, the Pb concentration also surpassed the USEPA standard by a factor of 0.33. PCA identified three principal components, which together explained 71.065% of the total variance and were attributed to mining activities (PC1), mixed natural and anthropogenic sources (PC2), and natural geological processes (PC3), respectively. The health risk assessment reveals significant risks: arsenic poses a carcinogenic risk (CR > 10⁻⁴), while both arsenic and Fluoride contribute to non-carcinogenic risks (HI > 1). The cumulative exposure from these contaminants demands immediate attention. Full article

Objective: To evaluate the effectiveness of a pharmacist-led educational intervention in reducing premenstrual syndrome (PMS) symptoms and improving self-care practices. Methods: A mixed-design study was conducted in community pharmacies in Spain between January and June 2025. First, a cross-sectional analysis determined PMS prevalence. Second, a longitudinal pre-post study was performed with women suffering from PMS. The intervention involved personalized guidance and an evidence-based educational infographic. Primary outcomes included symptom severity (measured by a numeric rating scale) and quality of life. Results: 350 women participated in the study. The mean age of participants was 23.7 ± 6.3 years (range: 17–51 years). At the six-month follow-up, the PMS group showed a significant reduction in mean pain intensity (from 6.86 to 3.26; p < 0.001) and a smaller reduction in the control group (from 4.82 to 2.88; p < 0.001), alongside improvements in irritability, insomnia, and fatigue. The proportion of women reporting a negative impact on quality of life decreased from 97.0% to 60.8% (p < 0.001). Oral contraceptive use was identified as a protective factor (OR: 0.33; 95% CI: 0.17–0.65). Conclusions: Educational interventions led by community pharmacists are effective in significantly alleviating PMS symptoms and enhancing women’s quality of life. Practice Implications: Community pharmacists are strategically positioned to identify women with PMS and provide evidence-based education. Implementing structured protocols and visual tools in pharmacies can optimize symptom management and promote self-care. Full article

Dicing is an important process in the packaging segment of the semiconductor manufacturing process, and due to the high hardness and brittleness of 4H-SiC wafers, they are prone to crack propagation and severe chipping during the dicing process. To reduce chipping defects, this study investigates the effects of key process parameters on the chipping behavior of 4H-SiC wafers, as well as the associated chipping formation and material removal mechanisms during dicing. Firstly, a spindle current measurement scheme was designed to indirectly reflect changes in grinding force during the cutting process, and the change in the cutting process in a single pass was analyzed. Secondly, experiments controlling single-factor variables were designed to explore the influence of laws of process parameters, including depth of cut, spindle speed, feed speed, and the dicing blade parameter, abrasive grain size, on the quality of chipping, and the optimal process parameters were obtained. Thirdly, the morphology of the 4H-SiC cutting contact arc area, front–back chipping, and sidewalls was analyzed in order to investigate the chipping formation and material removal mechanism. This study contributes to a fundamental understanding of material removal mechanisms during the cutting of 4H-SiC wafers and other advanced semiconductor materials and provides guidance for optimizing cutting process parameters. Full article

Introduction: Myasthenia gravis (MG) is a chronic autoimmune disorder in which fatigue represents one of the most burdensome symptoms. This multidimensional manifestation extends beyond neuromuscular fatigability and has a substantial impact on daily functioning, mental health, and quality of life. The present study aimed to evaluate the perception of fatigue in patients with MG, with particular emphasis on its interference with everyday activities and the extent to which it is understood by others. Methods: The study included 67 MG patients (61.2% women, mean age 53 years) treated at the Neurology Outpatient Department of the University Clinical Center in Gdańsk. Data were collected using an author-developed survey and standardized instruments: Chalder Fatigue Scale (CFQ), MG-ADL, MG-QoL15, HADS-M, Mini-COPE, and ACDS. Results: More than 70% of patients reported constant or frequent fatigue. Higher fatigue severity was positively associated with functional impairment (MG-ADL) and lower quality of life (MG-QoL15). More than 70% of patients reported constant or frequent fatigue. Higher fatigue severity was moderately associated with greater functional impairment and poorer quality of life. The extent to which fatigue interfered with daily life was associated with higher levels of depressive symptoms, poorer self-rated health, and less favorable disease-related perceptions (acceptance and influence). In contrast, perceiving fatigue as being better understood by others was associated with lower anxiety and depression and more favorable disease-related perceptions (acceptance, control, understanding), while it was not significantly related to fatigue severity, functional status, or quality of life. Conclusions: Fatigue in myasthenia gravis is a prevalent symptom, closely related to functional impairment and reduced quality of life. Different aspects of fatigue perception show distinct psychosocial correlates, highlighting the importance of considering subjective and social dimensions of fatigue alongside its severity. These findings support the relevance of psychosocial factors in the comprehensive care of patients with MG. Full article

The Atacama Desert in northern Chile is characterized by its naturally high metal concentrations; however, human activities have significantly increased their availability and concentration in aquatic environments. In the Loa River basin, copper mining is the main economic activity, and the extremely arid conditions contribute to high levels of evaporation and salinity. This study evaluated the concentrations of As, Cd, and Cu in the 63 µm sediment fraction from three areas, Lequena, La Finca, and Quillagua, during the years 2014, 2015, 2017, and 2023. Contamination levels were assessed using multiple approaches, including the Geoaccumulation Index (Igeo), the Enrichment Factor (EF), the Pollution Load Index (PLI), and the mean Probable Effect Concentration Ratio (m-PEC-Q). The results showed that Lequena (upper river zone) had no evidence of anthropogenic contamination over time; however, the ecological risk assessment highlighted the significant natural contribution of arsenic, representing a potential risk to the ecosystem. In contrast, La Finca (mid-river zone) and Quillagua (river mouth) showed significantly high levels of contamination. The Geoaccumulation Index consistently classified these sites as “moderately” to “heavily” contaminated or “heavily contaminated” for arsenic, while the Enrichment Factor indicated “very high enrichment” for arsenic, reflecting a strong anthropogenic influence. Ecological risk assessments indicated a persistent 76% probability of toxicity at La Finca throughout all sampling years, a level also observed at Quillagua in 2017 and 2023, with concentrations frequently exceeding international sediment quality guidelines. These patterns are attributed to the proximity of mining activities in the middle zone and the downstream transport of contaminated sediments to the river’s mouth, resulting in persistently high ecological risks over time. This study provides important baseline information for pollution control and ecological safety in the Loa River basin. Full article

Global warming leads to premature dormancy release and untimely flowering in southern highbush blueberry during winter, resulting in chilling injury and yield losses. However, effective strategies to delay flowering by modulating dormancy progression without compromising fruit quality remain lacking. This study demonstrated through field trials that spraying 1 mg/mL ethephon (ETH) during the early endodormancy stage effectively delayed dormancy release and reduced the bud break rate of spring shoots by approximately 33.92% relative to the control, with no adverse effects on fruit quality. The treatment also reduces sucrose content in floral buds, a change potentially associated with dormancy maintenance. To explore the molecular basis of this process, we examined two ethylene-responsive transcription factors, VcERF112 and VcERF115, previously identified in our laboratory. Their expression was rapidly upregulated following ETH treatment. Heterologous expression of either gene in Arabidopsis delayed both seed germination and flowering, suggesting a conserved growth-suppressive function. Dual-luciferase reporter assays confirmed that VcERF112 and VcERF115 bind to the T2 region (−2310 to −1595 bp) of the VcBRC1 (VcBRANCHED1) promoter and enhance its expression. In contrast, sucrose treatment suppressed VcBRC1 expression. Collectively, these results propose that ethylene may sustain bud dormancy through a coordinated mechanism that operates independently of the classic abscisic acid (ABA)/gibberellins (GA) balance, a relationship not addressed in this study. This mechanism involves the induction of VcERF112/115 to activate VcBRC1, coupled with the reduction in sucrose levels to alleviate its repressive effect on VcBRC1. These findings provide new molecular insights into the ethylene-mediated regulatory network underlying bud dormancy in blueberry. Full article

For mine ventilation-on-demand (VOD) scenarios, conventional joint optimisation of airflow augmentation and energy saving in mine ventilation systems is often constrained in practical engineering applications by shrinkage of the feasible region, limited adjustable resistance margins, and strongly multi-modal objective functions. These factors tend to result in low solution efficiency, pronounced sensitivity to initial values and insufficient solution robustness. In response to these challenges, a two-layer intelligent evolutionary optimisation framework, termed ES–Hybrid JADE with Competitive Niching, is developed in this study. In the outer layer, four classes of evolutionary algorithms—CMAES, DE, ES, and GA—are comparatively assessed over 50 repeated test runs, with a combined ranking based on convergence speed and solution quality adopted as the evaluation metric. ES, with a rank_mean of 2.0, is ultimately selected as the global hyper-parameter self-adaptive regulator. In the inner layer, four algorithms—COBYLA, JADE, PSO and TPE—are compared. The results indicate that JADE achieves the best overall performance in terms of terminal objective value, multi-dimensional performance trade-offs and robustness across random seeds. Furthermore, all four inner-layer algorithms attain feasible solutions with a success rate of 1.0 under the prescribed constraints, thereby ensuring that the entire optimisation process remains within the feasible domain. The proposed framework is applied to an exhaust-type dual-fan ventilation system in a coal mine in Shaanxi Province as an engineering case study. By integrating GA-based automatic ventilation network drawing (longest-path/connected-path) with roadway sensitivity analysis and maximum resistance increment assessment, two solution schemes—direct optimisation and composite optimisation—are constructed and compared. The results show that, within the airflow augmentation interval [0.40, 0.55], the two schemes are essentially equivalent in terms of the optimal augmentation effect, whereas the computation time of the composite optimisation scheme is reduced significantly from approximately 29 min to about 13 s, and a set of multi-modal elite solutions can be provided to support dispatch and decision-making. Under global constraints, a maximum achievable airflow increment of approximately 0.66 m³·s⁻¹ is obtained for branch 10, and optimal dual-branch and triple-branch cooperative augmentation combinations, together with the corresponding power projections, are further derived. To the best of our knowledge, prior VOD airflow-augmentation studies have not combined feasibility-region contraction (via sensitivity- and resistance-margin gating) with a two-layer ES-tuned JADE optimiser equipped with Competitive Niching to output multiple feasible optima. This work provides new insight that the constrained airflow-augmentation problem is intrinsically multimodal, and that retaining multiple basins of attraction yields dispatch-ready elite solutions while achieving orders-of-magnitude runtime reduction through prediction-based constraints. The study demonstrates that the proposed two-layer intelligent evolutionary framework combines fast convergence with high solution stability under strict feasibility constraints, and can be employed as an engineering algorithmic core for energy-efficiency co-ordination in mine VOD control. Full article

Parkinson’s disease (PD) is characterized by progressive degeneration of the nigrostriatal dopaminergic system and α-synuclein (α-syn) pathology, with disease progression driven by convergent mechanisms including neuroinflammation, mitochondrial injury, oxidative stress, and regulated cell-death programs such as ferroptosis. Fibroblast growth factors (FGFs) and fibroblast growth factor receptors (FGFRs) constitute a key signaling system in the central nervous system, influencing not only neuronal survival and glial states but also intersecting with networks governing redox homeostasis and iron metabolism. Accumulating evidence indicates that, beyond classical neurotrophic actions, FGF–FGFR signaling can modulate mitochondrial quality control, glial inflammatory activation, and lipid peroxidation-related processes, thereby reshaping cellular susceptibility to ferroptotic injury. This review summarizes current advances in understanding FGF signaling networks in Parkinson’s disease, synthesizes their potential mechanistic links to the interplay among neuroinflammation, mitochondrial dysfunction, and redox imbalance as well as to ferroptosis regulation, and discusses the experimental basis and translational challenges of targeting the FGF pathway as a disease-modifying therapeutic strategy. Full article

The quality of cow’s milk is critical for human nutrition; thus, it is important to develop rapid, sensitive, and cost-effective methods to monitor milk quality. Volatile Organic Compounds (VOCs) from milk are odorant molecules that can be used as key indicators of milk quality, since their presence is influenced by important factors such as animal metabolism, animal diet, and farming practices. In this work, we used the porcine odorant-binding protein (pOBP) and the bovine odorant-binding protein (bOBP) as molecular recognition elements (MREs) of an innovative fluorescence biosensor to detect the presence of odorant molecules in (a) milk produced by intensive livestock farming and (b) milk produced by extensive livestock farming. For biosensors, it is important to use proteins that are stable under operative conditions; therefore, we used fluorescence spectroscopy for a biophysical characterization of the pOBP and of the bOBP at different temperatures. The proposed biosensor employs a system to capture the odorant molecules from milk, which are then transferred to a liquid phase for quantitative and qualitative analyses. The binding of the odorant molecules to the OBPs triggers a Förster Resonance Energy Transfer (FRET) signal, allowing for real-time VOC quantification. The performance of the assays was evaluated by Headspace Solid-Phase Microextraction coupled with Gas Chromatography–Mass Spectrometry (HS-SPME/GC-MS) experiments. The experimental approach used for the development of the biosensor demonstrated high sensitivity and specificity, enabling the differentiation of milk from intensive and extensive farming systems. The results indicate the potential of this method for the real-time monitoring of VOCs in milk samples for food traceability and quality control. Full article

Surface roughness is a critical quality attribute in laser cutting, directly influencing edge integrity, dimensional accuracy, and post-processing requirements. While most studies address surface roughness through forward modeling and optimization, practical manufacturing tasks often require solving inverse parameter selection problems, where process parameters must be chosen to satisfy prescribed surface quality requirements. In this study, surface roughness control in laser cutting is formulated within an inverse target-tracking framework based on response surface methodology (RSM). A quadratic response surface model is established using a Box–Behnken experimental design, with cutting speed, laser power, and assist-gas pressure as input factors. The fitted response surface provides an explicit forward mapping within a bounded operating window and serves as a local surrogate for methodological demonstration of target-oriented parameter estimation. Based on this surrogate model, a model-predicted feasible roughness range within the investigated design space is identified as R_a = 1.952–4.212 μm. For prescribed roughness targets within this interval, an inverse least-squares target-tracking formulation is employed to compute model-based parameter estimates. The inverse results are presented as continuous set-point maps and tabulated operating conditions, accompanied by a target-versus-predicted consistency check performed at the model level. Owing to the statistically significant lack-of-fit of the forward response surface, the inverse results presented in this study should be interpreted as theoretical, model-based estimates intended to illustrate the proposed framework rather than as experimentally validated process set-points. The proposed approach highlights both the potential and the limitations of inverse target-tracking strategies based on response surface models and underscores the need for statistically adequate models and independent experimental validation for industrial application. Full article

Falls are a leading cause of morbidity and loss of independence among community-dwelling older adults. Mobile health (mHealth) application (app)-based interventions have emerged as a scalable approach to fall prevention. However, evidence from individual trials remains fragmented, underscoring the need for a comprehensive quantitative synthesis. This systematic review and meta-analysis examined whether mHealth app-based interventions reduce fall incidence and improve fall-related risk factors. A systematic search of PubMed, EMBASE, CENTRAL, and Web of Science identified randomized controlled trials meeting predefined eligibility criteria. Nine trials comprising 3437 participants were included, with dual-independent data extraction, quality appraisal, and assessment of evidence certainty. Compared with usual care or control conditions, mHealth app-based interventions reduced fall risk by 11% over 12 months (risk ratio 0.89, 95% CI 0.81–0.98), corresponding to an absolute risk reduction of 6.6%. The pooled reduction in fall rate, however, did not reach statistical significance. Secondary analyses showed moderate improvements in balance, strength, and mobility, a significant decrease in fear of falling, and no serious adverse events. Overall, mHealth app-based interventions provide modest but meaningful benefits and may complement comprehensive fall-prevention strategies for older adults. Full article

High temperature is a major environmental stress factor that affects lettuce (Lactuca sativa L.) growth, development, and productivity. As global temperatures continue to rise, understanding the impact of heat stress on lettuce production is crucial for maintaining crop yields and quality. In fields and in controlled environment agriculture, these elevated temperatures lead to poor seed germination due to thermoinhibition, earlier bolting due to faster crop development, and reduced marketable yields and an increased likelihood of heat-related disorders such as tipburn. Achieving heat tolerance in controlled environment agriculture is paramount as this industry struggles with higher production costs from the excessive use of cooling systems to acclimate greenhouses to temperatures ideal for lettuce production whereas field-grown lettuce must withstand highly variable and extreme thermal conditions, making heat stress a major constraint in both systems. This review comprehensively summarizes the current literature on the impact of heat stress on lettuce and highlights the influence of heat stress at the physiological, biochemical, and molecular level. In addition, we highlight management practices on lettuce production and sustainability as well as the breeding potential for heat tolerance. We synthesized these findings into a proposed conceptual framework for selecting and identifying genomic targets to advance the improvement of heat resilience in lettuce. Full article