Multidisciplinary Digital Publishing Institute (Switzerland)
Multidisciplinary Digital Publishing InstituteNot a member yet
1861300 research outputs found
Sort by
Understanding Gameplay Acceleration Ability, Using Static Start Assessments: Have We Got It Right?
Background/Objectives: Despite athletes initiating sprints from dynamic starts during gameplay, sprint performance is traditionally measured from a static position. This article aimed to determine whether static start or “pickup” acceleration are related or relatively independent motor qualities by assessing their relationship and examining how athletes’ rank order changes between static and pickup conditions. Methods: Thirty-one male athletes (20.3 ± 5.3 years) completed two 30 m sprints from a static start and two 30 m pickup accelerations following 20 m paced entries at 1.5 and 3.0 m/s−1, regulated by an LED system. Peak acceleration (amax) was measured via a horizontal linear position encoder (LPE; 1080 Sprint). Results: The shared variance between amax from the static and pickup starts was R2 = 11.6–39.6%, indicating, for the most part, a great amount of unexplained variance. The shared variance between pickup acceleration entry velocities was R2 = 16.8%. A visual analysis of an individualized rank-order table confirmed that, for the most part, the fastest static-start athletes differed from the fastest pickup athletes. Conclusions: In summary, static and pickup acceleration appear to be distinct motor abilities, most likely requiring a paradigm shift in strength and conditioning practices for acceleration assessment and development
Novel 2-Aryl-1H-Benzimidazole Derivatives and Their Aza-Analogues as Promising Anti-Poxvirus Agents
Introduction: Despite the impressive progress carried out in the field of biomedical sciences in recent decades, the incidence of emerging and neglected lethal viral infections mainly belonging to the Coronaviridae, Filoviridae, Arenaviridae, Bunyaviridae, and Paramyxoviridae families has considerably impaired human health. The worldwide vaccination campaign at the end of the 1970s determined the eradication of smallpox. However, the growing number of cases of diseases linked to orthopoxvirus diseases, such as the recent epidemic of monkeypox zoonosis in various countries around the world, has increased the need for knowledge of these viral pathogens. To date, there is no specific treatement for Monkeypox virus (MPXV) infection. However, several antiviral drugs used to treat Smallpox and other viral infections could also be beneficial for Monkeypox disease. In this study we report the design and synthesis of new, variously substituted benzimidazole derivatives and the evaluation of their cytotoxicity and antiviral activity against representatives of the Orthopoxvirus genus, Vaccinia Virus (VV), closely related to variola virus and MPXV. Methods: A combination of cell-based assays and experimental techniques was used to investigate the cytotoxicity, antiviral activity, and mechanisms of action of the most interesting compound. Results: In our study, new, variously substituted benzimidazoles showed interesting EC50 values against vaccinia and MPXV and a cytotoxic profile in the high micromolar range. Conclusions: Our work shows that the new tested benzimidazole derivatives possess appealing activity and selectivity, accompanied by low cytotoxicity. These results set a valid foundation with which to identify potent and selective anti-Poxvirus agents
Near-Field Shock Wave Propagation Modeling and Energy Efficiency Assessment in Underwater Electrical Explosions
This study systematically investigates the influence of capacitor energy storage parameters on the energy utilization efficiency of the underwater electrochemical explosion process. By integrating spherical and cylindrical shock wave propagation models, the pulse shock wave energy under different capacitor energy storage levels was theoretically calculated and experimentally validated. The results indicate that the applicability of the shock wave propagation model depends on the distance and aquatic environment: the spherical model is more suitable for short-distance, deep-water conditions, whereas the cylindrical model performs better for long-distance or shallow-water conditions. Within the energy storage range of up to 100 J, increasing the capacitance significantly enhances both the pulse energy output and energy utilization efficiency. Specifically, as the stored energy increased from 13 J to 100 J, the shock wave energy rose from 0.051 J to 2.45 J, and the energy utilization rate improved from 0.39% to 2.45%. Nevertheless, the overall energy utilization efficiency remains below 10%. This study confirms that rationally configuring capacitor parameters can effectively regulate the discharge process, providing important experimental and theoretical support for optimizing energy utilization efficiency
Weaving the Future: The Role of Novel Fibres and Molecular Traceability in Circular Textiles
The textile sector provides essential goods, yet it remains environmentally and socially intensive, driven by high water use, pesticide dependent monocropping, chemical pollution during processing, and growing waste streams. This review examines credible pathways to sustainability by integrating emerging plant-based fibres from hemp, abaca, stinging nettle, and pineapple leaf fibre. These underutilised crops combine favourable agronomic profiles with competitive mechanical performance and are gaining momentum as the demand for demonstrably sustainable textiles increases. However, conventional fibre identification methods, including microscopy and spectroscopy, often lose reliability after wet processing and in blended fabrics, creating opportunities for mislabelling, greenwashing, and weak certification. We synthesise how advanced molecular approaches, including DNA fingerprinting, species-specific assays, and metagenomic tools, can support the authentication of fibre identity and provenance and enable linkage to Digital Product Passports. We also critically assess environmental Life Cycle Assessment (LCA) and social assessment frameworks, including S-LCA and SO-LCA, as complementary methodologies to quantify climate burden, water use, labour conditions, and supply chain risks. We argue that aligning fibre innovation with molecular traceability and harmonised life cycle evidence is essential to replace generic sustainability claims with verifiable metrics, strengthen policy and certification, and accelerate transparent, circular, and socially responsible textile value chains. Key research priorities include validated marker panels and reference libraries for non-cotton fibres, expanded region-specific LCA inventories and end-of-life scenarios, scalable fibre-to-fibre recycling routes, and practical operationalisation of SO-LCA across diverse enterprises
A Review of the Advances and Emerging Approaches in Hydrological Forecasting: From Traditional to AI-Powered Models
Hydrological forecasting has evolved rapidly in response to intensifying climate variability, increasing data availability, and advances in computational modeling. This review synthesizes developments from 2006 to 2025, examining four major forecasting domains: statistical approaches, physically based models, data-driven machine learning and deep learning techniques, and hybrid or emerging physics–AI frameworks. Recent literature shows a decisive shift toward integrated, data-rich systems that leverage remote sensing, IoT networks, and artificial intelligence to overcome limitations in traditional forecasting. While hybrid and physics-informed AI models achieve notable improvements in accuracy, lead time, and scalability, persistent challenges remain, especially regarding data scarcity, model interpretability, cross-basin generalization, climate non-stationarity, and operational computational demands. This review highlights these limitations and outlines future directions needed to strengthen hydrological forecasting as a tool for climate adaptation, early warning systems, and long-term water resource planning. By consolidating methodological advances and emerging gaps, the study provides insights into how hydrological forecasting can transition toward more resilient, transparent, and decision-oriented frameworks
Prevalence of and Factors Associated with Antibiotic Prescription in Gynecological Practices in Germany
Background: Antibiotics are commonly used in gynecology, yet only limited outpatient prescribing data are available in Germany. The aim of this study is to estimate the prevalence of antibiotic prescriptions in gynecological practices and to identify patient and diagnostic factors. Methods: A retrospective cross-sectional analysis was conducted using anonymized electronic records from the IQVIA Disease Analyzer, including 344,187 women aged ≥16 years who had at least one gynecological visit in 2024. The primary outcome of interest was the prescription of an antibiotic. Consequently, the prevalence of antibiotic prescriptions was calculated overall and stratified by age group. Associations between potential factors and antibiotic prescriptions were assessed using multivariable logistic regression. Results: The overall prescription prevalence was 8.4% (29,007/344,187). Regarding the age distribution within the prescribed sample, the highest percentages were observed among women aged 31–40 years (25.6%) and 16–30 years (25.4%), while those aged 51–60 and >60 made up 12.9% and 19.1%, respectively. The most commonly prescribed agents were fosfomycin trometamol (35.9%), clindamycin (17.6%), and pivmecillinam (10.7%). Mastitis (OR 63.54, 95% CI 55.79–72.38), acute cystitis (OR 43.67, 95% CI 41.63–45.80), and unspecified urinary tract infection (OR 31.58, 95% CI 20.11–33.12) were strongly positively associated with AB prescription. Positive associations were also observed for acute vaginitis (OR 3.44, 95% CI 3.30–3.58), chlamydial infection (OR 6.27, 95% CI 5.77–6.81), and pregnancy (OR 1.95, 95% CI 1.85–2.05). Negative associations were observed for dysmenorrhea (OR 0.52, 95% CI 0.48–0.56), irregular menstruation (OR 0.65, 95% CI 0.60–0.71), menopausal disorders (OR 0.51, 95% CI 0.48–0.53), and ovarian cysts (OR 0.78, 95% CI 0.72–0.84). Conclusions: Antibiotic use in gynecology is low and strongly diagnosis-driven, primarily for urogenital infections. Signals of inappropriate prescribing in patients with candidiasis suggest a need for improved diagnostic accuracy and guideline adherence
Trace Detection of Ibuprofen in Solution Based on Surface Plasmon Resonance Technology
A surface plasmon resonance (SPR) sensor utilizing a molecularly imprinted polymer (MIP) film as the recognition element was developed for the selective detection of the non-steroidal anti-inflammatory drug ibuprofen (IBU). The molecularly imprinted film on the SPR sensor chip was prepared via photo-initiated in situ polymerization, enabling specific recognition of IBU molecules. Experimental results indicate that the SPR sensor can specifically identify IBU in solution, with a detection limit of 10−11 mol/L for ibuprofen. Within the concentration range of 10−11 to 10−4 mol/L, a linear relationship was observed between the SPR signal and the negative logarithm of the IBU concentration. This method offers the advantages of a low detection limit, wide detection range, and high selectivity, making it suitable for trace detection of IBU in solutions
From Circulation to Regeneration: Blood Cell Membrane-Coated Nanoparticles as Drug Delivery Platform for Immune-Regenerative Therapy
Cell membrane-coated nanoparticles represent a biomimetic drug delivery approach that integrates biological membrane functions with synthetic nanomaterials. Among the various membrane sources, those derived from blood cells such as red blood cells, platelets, and leukocytes offer distinctive advantages, including immune evasion, prolonged systemic circulation, and selective tissue targeting. These properties collectively enable efficient and biocompatible delivery of therapeutic agents to diseased tissues, minimizing off-target effects and systemic toxicity. This review focuses on blood cell membrane-derived nanocarriers as drug delivery and immune-regenerative platforms, in which membrane-mediated immunomodulation synergizes with therapeutic payloads to address inflammatory or degenerative pathology. We discuss recent advances in blood cell membrane coating technologies, including membrane isolation, nanoparticle core selection, fabrication techniques, and the development of hybrid and engineered membrane systems that enhance therapeutic efficacy through integrated immune regulation and localized drug action. To illustrate these advances, we also compile membrane type-specific nanocarrier systems, summarizing their core nanoparticle designs, coating strategies, therapeutic cargoes, and associated disease models. Challenges related to biological source variability, scalability, safety, and regulatory standardization remain important considerations for clinical translation. In this review we systematically address these issues and discuss emerging solutions and design strategies aimed at advancing blood cell membrane-based nanocarriers toward clinically viable immune-regenerative therapies
Oleanolic Acid and Alzheimer’s Disease: Mechanistic Hypothesis of Therapeutic Potential
Numerous hypotheses have been proposed to explain the origin of Alzheimer’s disease (AD), a chronic neurodegenerative disorder that currently has no curative treatment. These hypotheses include the abnormal accumulation of β-amyloid and hyperphosphorylated Tau, degeneration of cholinergic neurons associated with chronic neuroinflammation and oxidative stress, and dysregulation of lipid and carbohydrate metabolism. oleanolic acid (OA), a pentacyclic triterpenoid widely distributed across plant species, has demonstrated anti-inflammatory and antioxidant activities, anti-aggregation properties, together with regulatory effects on carbohydrate and lipid metabolism. Given the diversity of hypotheses proposed for AD and its multifactorial nature, the pleiotropic actions of OA positions it as a promising candidate for preventive and therapeutic strategies. This review compiles evidence on OA and selected synthetic derivatives, analyzing their impact across the major mechanistic hypotheses of AD pathogenesis. Collectively, these findings support OA as a promising candidate to address protein aggregation, metabolic imbalance, and neuroinflammation in AD
Application of Potato Peels as an Unconventional Sorbent for the Removal of Anionic and Cationic Dyes from Aqueous Solutions
The aim of this study was to investigate the sorption efficiency of anionic dyes—Reactive Yellow 84 (RY84) and Reactive Black 5 (RB5)—and cationic dyes—Red 46 (BR46) and Basic Violet 10 (BV10)—onto potato peels (Solanum tuberosum L.). The research scope included characterization of the sorbent material (pHPZC, FTIR), the effect of pH on dye sorption efficiency, kinetics (pseudo-first-order and pseudo-second-order models, intraparticle diffusion model), and studies on the sorbent’s maximum sorption capacity (Langmuir 1 and 2, and Freundlich isotherms). The point of zero charge (pHPZC) for potato peels was determined to be pHPZC = 6.43, indicating a slightly acidic character of the material. The sorption efficiency for RB5, RY84, and BV10 was highest at pH 2, while the efficiency for BR46 was highest at pH 6. The time required to reach sorption equilibrium on the tested sorbent increased with the initial dye concentration and ranged from 180 to 270 min for RB5, RY84, and BV10, and from 45 to 210 min for BR46. The maximum sorption capacity of this material was found to be 20.85 ± 0.33 mg/g and 21.63 ± 0.34 mg/g for RB5 and RY84, respectively, and 10.28 ± 0.24 mg/g and 27.15 ± 0.87 mg/g for BV10 and BR46, respectively