Search Results (5,186)

Speech is one of the earliest-affected modalities in Parkinson’s disease (PD). For more reliable PD evaluation, speech-based telediagnosis studies often use multiple samples from the same subject to capture variability in speech recordings. However, many existing studies split samples—rather than subjects—between training and testing, creating a biased experimental setup that allows data (samples) from the same subject to appear in both sets. This raises concerns for reliable PD evaluation due to data leakage, which results in over-optimistic performance (often close to 100%). In addition, detecting subtle vocal impairments from speech recordings using multiple feature extraction techniques often increases data dimensionality, although only some features are discriminative while others are redundant or non-informative. To address this and build a reliable speech-based PD telediagnosis system, the key contributions of this work are two-fold: (1) a uniform (fair) experimental setup employing subject-wise symmetric (stratified) splitting in 5-fold cross-validation to ensure better generalization in PD prediction, and (2) a novel hybrid data complexity-aware (HDC) feature selection method that improves class separability. This work further contributes to the research community by releasing a publicly accessible five-fold benchmark version of the Parkinson’s speech dataset for consistent and reproducible evaluation. The proposed HDC method analyzes multiple aspects of class separability to select discriminative features, resulting in reduced data complexity in the feature space. In particular, it uses data complexity measures (F4, F1, F3) to assess minimal feature overlap and ReliefF to evaluate the separation of borderline points. Experimental results show that the top-50 discriminative features selected by the proposed HDC outperform existing feature selection algorithms on five out of six classifiers, achieving the highest performance with 0.86 accuracy, 0.70 G-mean, 0.91 F1-score, and 0.58 MCC using an SVM (RBF) classifier. Full article

The 5083 aluminum alloy is widely used in marine engineering due to its excellent corrosion resistance and weldability. To address microstructural defects that may arise during hot rolling, homogenization annealing is employed as a critical post-processing step to enhance mechanical and processing properties. This study systematically investigates the effects of different homogenization annealing temperatures (held for 1 h) on the microstructure, corrosion behavior, and mechanical properties of hot-rolled 5083 aluminum alloy. The microstructural characteristics, phase composition, and corrosion morphology were characterized using scanning electron microscopy (SEM) with energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), polarized light microscopy (POM), electron backscatter diffraction (EBSD), and electrochemical tests. Microhardness was measured using a Vickers hardness tester. The results indicate that the annealing temperature markedly influences the type, morphology, and distribution of precipitated secondary phases and significantly affects grain refinement. The alloy treated at 350 °C (5083–350 °C) exhibited optimal corrosion resistance, as evidenced by electrochemical impedance spectroscopy showing the highest charge transfer resistance and surface morphology analysis revealing minimal and shallow corrosion pits. Simultaneously, this treatment achieved significant stress relief and secondary phase precipitation strengthening, resulting in a peak microhardness of 78.8 HV. The study demonstrates that 350 °C homogenization annealing synergistically improves both the corrosion resistance and mechanical properties of hot-rolled 5083 aluminum alloy, providing valuable insights for optimizing its heat treatment process. Full article

This scoping review aimed to summarize the current literature on the etiological and pathophysiological mechanisms associated with the development of retrograde cricopharyngeus dysfunction (R-CPD) through a PRISMA literature search. According to the current literature, a family history of R-CPD was reported in 28.0% of patients across studies, with childhood onset in 55.5% of cases. Gastroesophageal reflux disease and laryngopharyngeal reflux disease prevalence in R-CPD patients ranged from 16.3 to 51.9%, with improvement of heartburn symptoms after treatment. High-resolution manometry revealed dysmotility disorders in 43.5–80.0% of patients, with absent peristalsis in 11–25%. Carbonated drink provocative testing provided diagnostic usefulness in patients with unclear diagnoses by demonstrating failure of cricopharyngeal sphincter relaxation for retrograde gas. Notably, 75.5–79.9% of patients maintained symptom relief beyond the expected pharmacologic duration of botulinum toxin (approximately 6 months), suggesting potential neuroplastic adaptation or learned compensatory mechanisms in overcoming retrograde cricopharyngeal sphincter dysfunction. The pathophysiology of R-CPD remains incompletely understood, with a lack of epidemiological and pediatric studies. The genetic and environmental factors may play a key role, but future studies are needed to clarify their roles in the development of R-CPD. Full article

Background: Thalassotherapy, which combines seawater, marine mud, and maritime climate, has been traditionally used to support musculoskeletal recovery. Its thermal, biochemical, and mechanical properties may enhance tissue healing and modulate inflammation. This study aimed to evaluate the short-term clinical effects of a standardized two-week thalassotherapy program compared with conventional rehabilitation in post-traumatic patients. Methods: A matched controlled cohort study was conducted at the Corpore Sano Sanatorium, Techirghiol, Romania. Post-traumatic patients followed identical physiotherapy and hydrokinetic exercise routines; additionally, the thalassotherapy group received daily seawater baths, sapropelic mud applications, and exposure to marine aerosols. Pain levels, joint mobility, inflammatory status, and quality of life were assessed before and after the intervention. Adverse events and treatment tolerance were monitored throughout the study. Results: Patients undergoing thalassotherapy experienced more pronounced improvements in musculoskeletal function, pain relief, inflammatory balance, and quality-of-life outcomes compared with those receiving standard rehabilitation alone. Both interventions contributed to clinical progress, but the magnitude of change was consistently greater among patients treated with marine-based therapies. No adverse events or intolerance reactions were recorded, and all participants completed the program. Conclusions: Thalassotherapy may provide complementary short-term benefits in post-traumatic rehabilitation, enhancing functional recovery, symptom relief, and perceived well-being. However, due to the non-randomized design and short follow-up period, these findings should be interpreted cautiously. Further randomized studies with long-term outcomes are required to confirm the therapeutic role of thalassotherapy in modern rehabilitation practice. Full article

Deep brain stimulation (DBS) is an established therapy for motor symptom management in Parkinson’s disease (PD), yet emerging evidence suggests that its effects may extend beyond functional circuit modulation to include cellular and molecular mechanisms with potential neuroprotective significance. This review synthesizes current evidence on the neuroprotective mechanisms of DBS, with an emphasis on preclinical and clinical studies that highlight its effects on neuronal survival, trophic support, oxidative stress, inflammation, synaptic plasticity, and network homeostasis. Preclinical data indicate that DBS reduces dopaminergic neuron degeneration, enhances brain-derived neurotrophic factor (BDNF) signaling, preserves mitochondrial function, attenuates neuroinflammation, and fosters synaptic remodeling. Clinical studies provide convergent, though less definitive, evidence from imaging, fluid biomarkers, and long-term outcomes supporting potential disease-modifying effects. These findings underscore a shift in the conceptualization of DBS from purely symptomatic relief toward modulation of underlying pathogenic processes. DBS holds promise as a neuroprotective therapy for PD, but critical gaps remain in validating these mechanisms in patients. Future directions include the development of biomarker-driven longitudinal studies, refinement of adaptive stimulation strategies, integration with adjunctive disease-modifying strategies, and exploration of personalized approaches based on molecular and network signatures. By bridging mechanistic understanding with translational innovation, DBS may evolve into a precision therapy capable of altering the progression trajectory of PD. Full article

Background: Midaortic Syndrome (MAS) is a rare vascular condition characterized by segmental narrowing of the thoracic and abdominal aorta, often involving ostial narrowing of the renal or visceral arteries. While open surgical repair has been the standard treatment, it carries significant morbidity, especially in high-risk patients. Endovascular techniques, including the Chimney approach, provide a minimally invasive alternative to preserve and reestablish both aortic and branch vessel perfusion. This study evaluates the feasibility, safety, and early and midterm outcomes of the Chimney technique used in a cohort of patients with MAS. Methods: Between 2019 and 2025, 9 patients with MAS and branch vessel involvement underwent endovascular repair using the Chimney technique at Brüderklinikum Julia Lanz Hospital in the Mannheim Teaching Hospital of Heidelberg University. Pre-procedural planning was based on computed tomography angiography. Technical success, peri-procedural complications, changes in blood pressure, renal function, and target-vessel stent patency were monitored. Patients were followed over a median of 3 years (range, 0.08–6 years). Results: Nine patients (mean age 77.2 ± 8.7 years; 66.6% female) underwent endovascular repair for midaortic syndrome. All patients were unfit for open surgery. Comorbidities included hypertension (100%), coronary artery disease (100%), and chronic kidney disease (77.7%). Technical success and target-vessel patency were 100%, with no intraoperative deaths, impairment of renal function, or 30-day mortality. One patient (11.1%) developed an access-site hematoma, which was managed conservatively. Median hospital stay was 6 days. During a median 3-year follow-up (range 1 month–6 years), all chimney stents remained patent, patients experienced durable symptom relief, blood pressure improvement, and freedom from reintervention. Conclusions: The Chimney technique offers a safe and effective endovascular option for high-risk patients with Midaortic Syndrome, achieving high technical success, preserved branch-vessel patency, and improvement of symptoms. Larger studies with longer follow-up are warranted to confirm durability and optimize patient selection for this technique. Full article

Alzheimer’s disease (AD), the leading cause of dementia worldwide, is characterized by progressive neuronal loss, amyloid-β (Aβ) aggregation, tau hyperphosphorylation, oxidative stress, neuroinflammation, cholinergic dysfunction, and gut–brain axis dysregulation. Despite advances in anti-amyloid therapeutics, current interventions provide only modest symptomatic relief and face limitations in accessibility, cost, and long-term efficacy. Plant-derived bioactive compounds, rooted in traditional medicine systems such as Ayurveda and Traditional Chinese Medicine, have gained increasing attention as multi-target therapeutic agents due to their pleiotropic actions, relative safety, and ability to cross the blood–brain barrier. This review synthesizes mechanistic and translational evidence on major phytochemicals, including withanolides (Withania somnifera), curcumin (Curcuma longa), ginkgolides and bilobalide (Ginkgo biloba), bacosides (Bacopa monnieri), ginsenosides (Panax ginseng), crocin/safranal (Crocus sativus), epigallocatechin-3-gallate (Camellia sinensis), rosmarinic acid (Salvia officinalis, Melissa officinalis), and asiaticosides (Centella asiatica). These compounds exert neuroprotective effects by inhibiting Aβ aggregation, reducing tau phosphorylation, scavenging reactive oxygen species, attenuating NF-κB-mediated inflammation, modulating cholinergic signaling, enhancing synaptic plasticity via brain-derived neurotrophic factor/cAMP response element-binding protein (BDNF/CREB) activation, and regulating gut microbiota. Multi-target approach analyses underscore their synergistic potential in targeting interconnected AD pathways. However, translation remains hindered by poor oral bioavailability, rapid metabolism, and variability in clinical outcomes. Advances in delivery platforms, including liposomes, bilosomes, solid lipid nanoparticles, and nanostructured lipid carriers, are improving stability, blood–brain penetration, and therapeutic efficacy in preclinical models. Collectively, plant-derived phytochemicals serve as promising, affordable, and multi-modal candidates for reshaping AD management, bridging traditional knowledge with modern therapeutic innovation. Full article

Oral candidiasis, mainly from Candida albicans, affects immunocompromised individuals, the elderly, and denture wearers. Probiotics offer immunomodulatory and microbiota-balancing benefits as potential antifungal alternatives. However, the comparative impact of different probiotic delivery methods remains inadequately explored. This systematic review evaluated the effectiveness of various probiotic delivery methods in reducing Candida colonization and clinical symptoms in oral candidiasis. Following PRISMA 2020 guidelines, a systematic review search across multiple databases included human clinical studies based (Medline, Web of Science, ScienceDirect, and ProQuest) on PICO criteria across all age groups. Outcomes assessed included Candida load, oral microbiota changes, symptom improvement, and disease recurrence. Of 297 articles screened, 10 met inclusion criteria. Delivery methods investigated included lozenges, capsules, yogurt, and cheese. Most studies reported reductions in Candida colony-forming units (CFUs) or prevalence, mainly for C. albicans and for non-albicans species, with probiotics such as Lactobacillus reuteri, L. rhamnosus, L. acidophilus, and Bifidobacterium strains. Some studies reported improved immunological markers, while symptom relief, especially when probiotics were combined with antifungals. Probiotics reduce Candida colonization and symptoms, with potential prolonged effects. They show promise as adjunctive therapies, but standardized, large-scale trials are needed for optimization. Full article

Background: In high-dimensional, small-sample omics studies such as metabolomics, feature selection not only determines the discriminative performance of classification models but also directly affects the reproducibility and translational value of candidate biomarkers. However, most existing methods primarily optimize classification accuracy and treat stability as a post hoc diagnostic, leading to considerable fluctuations in selected feature sets under different data splits or mild perturbations. Methods: To address this issue, this study proposes FRL-TSFS, a feature selection framework synergistically driven by filter-based Robust Rank Aggregation and L1-sparse modeling. Five complementary filter methods—variance thresholding, chi-square test, mutual information, ANOVA F test, and ReliefF—are first applied in parallel to score features, and Robust Rank Aggregation (RRA) is then used to obtain a consensus feature ranking that is less sensitive to the bias of any single scoring criterion. An L1-regularized logistic regression model is subsequently constructed on the candidate feature subset defined by the RRA ranking to achieve task-coupled sparse selection, thereby linking feature selection stability, feature compression, and classification performance. Results: FRL-TSFS was evaluated on six representative metabolomics and gene expression datasets under a mildly perturbed scenario induced by 10-fold cross-validation, and its performance was compared with multiple baselines using the Extended Kuncheva Index (EKI), Accuracy, and F1-score. The results show that RRA substantially improves ranking stability compared with conventional aggregation strategies without degrading classification performance, while the full FRL-TSFS framework consistently attains higher EKI values than the other feature selection schemes, markedly reduces the number of selected features to several tens of metabolites or genes, and maintains competitive classification performance. Conclusions: These findings indicate that FRL-TSFS can generate compact, reproducible, and interpretable biomarker panels, providing a practical analysis framework for stability-oriented feature selection and biomarker discovery in untargeted metabolomics. Full article

Background: Despite advances in myoelectric control of hand prostheses, their dropout rate remains high. Methods: We analyzed 37 features extracted from surface electromyography (sEMG) recordings from 15 participants, distributed into three groups: non-impaired individuals, impaired individuals with limb loss due to trauma, and impaired individuals with limb loss due to electrical burn. Feature relationships were examined with correlation heatmaps and two feature-selection methods (ReliefF and Minimal Redundancy Maximum Relevance), and classification performance was evaluated using machine-learning models to characterize sEMG behavior across groups. Results: Individuals with electrical-burn injury exhibited increased forearm co-contraction on the affected side across normalized isometric contractions, indicating altered motor coordination and likely higher energetic cost for prosthetic control. Feature selection and model results revealed etiology-dependent differences in the most informative sEMG features, underscoring the need for personalized, etiology-aware myoelectric control strategies. Conclusions: These findings inform the design of adaptive prosthetic controllers and targeted rehabilitation protocols that account for injury-specific motor control adaptations. Full article

Background: Drug-induced cardiotoxicity is a primary concern in clinical practice, especially in the context of oxidative stress induced by anti-cancer, antiviral, and antidiabetic drugs. Several strategies are devised to limit cardiotoxicity, which are supportive and provide symptomatic relief. This highlights the need to develop cardioprotective agents that circumvent the oxidative stress. Bassia indica is a cardiotonic plant with antioxidant properties traditionally used in Africa, South Asia, and China. We investigated its cardioprotective effects against doxorubicin-induced cardiotoxicity (DIC). Methods: B. indica extract (BiE) was analyzed by GC-MS and HPLC. Several antioxidant assays, including DPPH, FRAP, CUPRAC, NO, and H₂O₂ scavenging, were performed. In vivo attenuation of DIC was assessed in a rat model. Results: BiE contained several bioactive flavonoids, including 2-methoxy-4-vinylphenol, ferulic acid, gallic acid, kaempferol, and coumaric acid. Antioxidant assays demonstrated potent free-radical scavenging and antioxidant activity of BiE, providing mechanistic evidence for its in vivo amelioration of DIC. BiE treatment reduced myocardial oxidative stress by increasing endogenous antioxidant levels (p < 0.01), including SOD, CAT, and GSH. It upregulated Nrf2 and lowered Keap1 levels. This was also reflected in the restoration of cardiac tissue architecture and modulation of inflammatory markers, including IL-1β and TNF-α (p < 0.01). Cardiac tissue biomarkers were also improved. Conclusions: These findings conclude that BiE exerts cardiac protection by reducing oxidative stress and inflammation through modulation of the Keap1/Nrf2 pathway and decreasing the expression of IL-1β and TNF-α. Full article

Using the Danjiangkou Reservoir resettlement as a case study, this research adopts a policy lifecycle perspective to examine the evolutionary mechanisms of livelihood transformation and institutional adaptation under large-scale hydraulic development. The findings reveal that China’s resettlement governance is not merely an economic practice of resource redistribution and livelihood reconstruction but a deeper process of institutional learning and social reconfiguration. The transformation of Danjiangkou migrants—from administrative dependence to self-organized recovery and finally to development empowerment—reflects a structural shift in governance logic from control-oriented mobilization to collaborative and inclusive modernization. The study elucidates the dynamic interaction between institutional supply and social agency, arguing that the state acts not only as a resource provider but as an institutional recalibrator that fosters endogenous governance capacity through social self-organization. The identity transformation of migrants—from excluded subjects to integrated citizens—demonstrates that recognition, participation, and social capital are central to achieving social justice and sustainable governance. Practically, sustainable resettlement requires institutional flexibility and social empowerment, emphasizing long-term capacity building over short-term relief. The Danjiangkou experience reveals the deeper logic of Chinese modernization—a transition from control to collaboration, from survival to development, and from outsiders to citizens—offering valuable insights for equitable and resilient resettlement governance. Full article

Carbapenem-resistant Enterobacterales (CREs) pose a critical threat to global public health, largely driven by the enzymatic activity of Klebsiella pneumoniae carbapenemase-2 (KPC-2), a class A serine β-lactamase that hydrolyzes most β-lactam antibiotics. While β-lactamase inhibitors like avibactam offer temporary relief, emerging KPC variants demand novel, sustainable inhibitory scaffolds. This study aimed to identify and characterize potential natural inhibitors of KPC-2 from Pongamia pinnata, leveraging a comprehensive in silico workflow. A curated library of 86 phytochemicals was docked against the active site of KPC-2 (PDB ID: 3DW0). The top-performing ligands were subjected to ADMET profiling (pkCSM), and 100 ns molecular dynamics simulations (GROMACS) to evaluate structural stability and interaction persistence, using avibactam as control. Ponganone V exhibited the most favorable binding energy (−9.0 kcal/mol), engaging Ser70 via a hydrogen bond and forming π–π interactions with Trp105. Glabrachromene II demonstrated a broader interaction network but reduced long-term stability. ADMET analysis confirmed high intestinal absorption, non-mutagenicity, and absence of hERG inhibition for both ligands. Molecular dynamics simulations revealed that Ponganone V maintained compact structure and stable hydrogen bonding throughout the 100 ns trajectory, closely mirroring the behavior of avibactam, whereas Glabrachromene II displayed increased fluctuation and loss of compactness beyond 80 ns. Principal Component Analysis (PCA) further supported these findings, with Ponganone V showing restricted conformational motion and a single deep free energy basin, while avibactam and Glabrachromene II exhibited broader conformational sampling and multiple energy minima. The integrated computational findings highlight Ponganone V as a potent and pharmacologically viable natural KPC-2 inhibitor, with strong binding affinity, sustained structural stability, and minimal toxicity. This study underscores the untapped potential of Pongamia pinnata phytochemicals as future anti-resistance therapeutics and provides a rational basis for their experimental validation. Full article

To address the limitations of low model accuracy and single-scenario settings in traditional rainfall-induced landslide hazard assessments, this study focuses on Yongren County, Yunnan Province—a region where landslides pose significant threats to sustainable socio-economic development and infrastructure resilience. Eight controlling factors—lithology, slope, terrain relief, distances to faults, rivers, and roads, vegetation coverage, and elevation—were used to build a landslide susceptibility index system. Three internationally recognized machine learning models, Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost), were applied for comparison. The XGBoost model was further coupled with rainfall scenario analysis, simulating three rainfall scenarios—normal, 10-year, and 20-year return periods—to form a framework integrating “high-precision susceptibility prediction–multi-scenario rainfall driving–dynamic hazard assessment.” Results show that XGBoost achieved the highest accuracy and stability, with AUC and overall accuracy exceeding those of RF and SVM, supporting high-precision multi-scenario simulations. High-hazard zones expanded from road-disturbed areas under normal rainfall to riverbanks under 10-year rainfall and to fault-fracture and road–river interaction zones under 20-year rainfall. This study provides a transferable framework for sustainable landslide risk management, enabling precision prevention, optimizing resource allocation for disaster risk reduction, and supporting evidence-based policy-making for sustainable development and climate adaptation in similar geological settings. Full article

Alzheimer’s Disease (AD) is a neurodegenerative disorder characterised by Amyloid-beta 42 (Aβ42) plaque accumulation and cognitive decline, with current treatments focused on symptomatic relief. Emerging therapeutics, such as dietary interventions, can modulate cognitive decline and delay AD progression. Our previous work in Drosophila melanogaster identified cell competition as a key mechanism that eliminates unfit neurons in an AD model, improving locomotion by removing the unfit neurons expressing flower^LoseB and ahuizotl (azot). Here, we explored how diet influences azot-dependent cell competition and locomotion in the AD model. Flies were fed with either a yeast-based diet (YBD) or a synthetic (SAA) diet for up to 28 days. In contrast to YBD, SAA delayed cell competition activation until day 21, coinciding with locomotion improvement and delayed Aβ formation. The overexpression of the human Flower (hFWE) isoforms in a Drosophila neuronal context revealed functional conservation: hFWE1 acted as the sole loser isoform, and hFWE2 as a winner isoform. With the YBD, forcing cell competition by expressing hFWE2 in the AD model led to an accumulation of unfit cells and promoted worse locomotion phenotypes over time compared to with the SAA diet. Our data highlights the complex interaction between diet, cell competition, and Aβ toxicity, offering new therapeutic insights. Full article