Reproductive disorders remain a major cause of subfertility and infertility in human and animals, encompassing ovarian dysfunction, endometritis, impaired endometrial receptivity, and treatment-induced gonadotoxicity. These conditions substantially reduce reproductive efficiency and quality of life. In recent years, advances in translational medicine have shifted focus toward regenerative strategies, particularly stem cell-based therapies, as alternatives to conventional pharmacological or surgical interventions that often yield limited or transient benefits. Among these, mesenchymal stem/stromal cells (MSCs) have emerged as promising candidates for infertility management due to their self-renewal ability, multilineage differentiation potential, low immunogenicity, and robust paracrine activity. Growing preclinical and early clinical evidence demonstrates that MSC-based therapies can restore ovarian function, enhance folliculogenesis, promote endometrial regeneration, and modulate inflammatory and fibrotic microenvironments associated with female infertility. Notably, these effects are mediated primarily through the secretion of bioactive factors, stimulation of angiogenesis, regulation of apoptosis, and immunomodulation rather than direct cell replacement alone. Despite their therapeutic promise, challenges related to targeted delivery, therapeutic precision, and safety remain. In this context, emerging targeting strategies, particularly aptamer-based approaches, represent a rational advancement to enhance MSC efficacy. Aptamers are short single-stranded DNA or RNA molecules with high affinity and specificity for target proteins, offering advantages over antibodies, including improved tissue penetration, minimal immunogenicity, and ease of synthesis and modification. This review aimes to summarizes current progress in MSC-based therapies for female infertility and highlights aptamer-guided targeting strategies to improve therapeutic precision, efficacy, and safety.
The design of an effective battery thermal management system is critical to ensure the safe, efficient, and long-lasting operation of lithium-ion batteries. Excessive heat generation and temperature non-uniformity among cells in high energy density battery systems lead to performance degradation, accelerated aging, and an increased risk of thermal runaway. Although liquid-cooled systems and thermoelectric module-assisted solutions have been extensively investigated separately in the literature, studies that holistically evaluate multiple thermoelectric stations combined with an innovative flow channel design and turbulator integration remain limited. This gap constitutes a significant research need, particularly in terms of improving temperature uniformity and reducing maximum cell temperature. In this study, to address this research gap, a novel liquid-cooled battery thermal management system integrating thermoelectric coolers and turbulators within the flow channel is proposed. The thermal performance of the proposed system was systematically analyzed using computational fluid dynamics under three different configurations (conventional system, thermoelectric-assisted system, and turbulator-integrated thermoelectric-assisted system) and four different mass flow rates (0.0008, 0.0013, 0.0018, and 0.0023 kg/s). The results indicate that, at a mass flow rate of 0.0023 kg/s, the integration of thermoelectric coolers and turbulators reduces the maximum battery temperature by 8.95 K and the maximum temperature difference by 6.83 K. At the highest mass flow rate, the proposed system achieves a maximum battery temperature of 306 K and a maximum temperature difference of 4.5 K, ensuring both effective cooling performance and high temperature uniformity. Overall, the results in terms of cooling performance and temperature uniformity demonstrate that the combination of thermoelectric modules and turbulators offers significant potential for advanced battery thermal management system applications and offers an effective solution for high-energy-density systems.
The recycling of industrial and agricultural wastes for use in producing construction materials and polymer composites is increasingly important for minimizing environmental impacts and ensuring the sustainable use of resources. These materials enhance the performance of composites while promoting sustainability due to their renewable, low-cost, and easily available nature. Among these, wood dust (WD) and walnut shell (WS) are eco-friendly wastes that can be effectively used as fillers in composite production. In this study, hybrid composite (HC) samples were fabricated using WD and WS wastes with a fixed polymer-to-filler ratio of 20:80 by volume. The WD/WS ratios were adjusted to 100:0, 75:25, 50:50, 25:75, and 0:100. The produced HC samples were tested for density, water absorption, porosity, compressive strength (at 10
Postural control becomes fragile by aging which increases the risk of falls, leads to fractures, and decreases the quality of life. It is important to investigate the fall risks in people with the older adults. In our study, we analyzed the KINECAL dataset which contains the records of 90 participants aged 18 to 92 years performing clinical movements. We performed six feature selection methods (the Information Gain, Fisher Score (GFS), Recursive Feature Elimination (RFE), Principal Component Analysis (PCA), Chi-square (CS), and Correlation-Based Feature Selection (CBFS)) and four classification algorithms (Random Forest (RF), Support Vector Machine (SVM), eXtreme Gradient Boosting (XGBoost), and Decision Tree (DT)). Our findings showed that XGBoost consistently outperformed the other algorithms, achieving the highest accuracy and F1 scores across most feature selection methods. XGBoost achieved its highest F1 scores with the original dataset (98.28
Considering the economic and environmental conditions, corrosion appears to be a significant handicap. In this study, anti-corrosion performance of Erodium cicutarium (L.) (EC) is explored in a 1.0 M HCl using potentiaodynamic polarization (PDP), electrochemical impedance (EIS) and linear polarization resistance (LPR) spectroscopies along with morphological, structural and quantum chemical methods. FT-IR and LC-ESI-MS/MS reveal the chlorogenic acid, gentisic acid, protocatechuic acid, vanillin and salicylic acid, containing-C=O, C=C, C-H, C-H, -OH, and aromatic ring. PDP, EIS and LPR showed that at the highest concentration of the EC extract (1000 ppm), the polarization resistance and corrosion current density are measured as 974 Omega cm2 and 246 mu A cm-2, while the inhibition efficiency was found to be 98 %. Inhibition efficiencies decreased with increasing temperature and exposure times due to desorption of adsorbed inhibitor molecules from the surface. But, a notable increase in the Ea value (67.2 kJ mol-1) is observed, thereby hindering the corrosion process. While adsorption behavior is in accordance with the Langmuir isotherm, the Delta G degrees ads (-27.34 kJ mol-1) value indicates both physical and chemical adsorptions. To better understand the inhibitory mechanism, zero charge potential is determined, and quantum chemical calculations of the EC extract's components are performed.
