Search Results (1,995)

Background: Oil-in-water nanoemulsions (NEs) represent versatile platforms for the delivery of hydrophobic compounds and find a wide range of applications in different fields such as food, cosmetics, agriculture, pharmaceutics, and oil and gas industries. Various methodologies can be applied for the preparation of NEs as low-energy and high-energy methods. Among them, high-energy ultrasonication (HEU) is a popular technique in research laboratories or small manufacturing facilities. However, a clear gap remains in understanding how, and to what extent, experimental parameters and the chemical and physical characteristics of the components affect the formation and properties of NEs through HEU. Methods: In this work, a comprehensive screening of factors (oil viscosity and density, surfactant type, processing parameters, and formulation composition) affecting NEs formation and quality was performed and an artificial neural network (ANN) was applied to determine the relative relevance of each parameter. Results: Oil viscosity revealed to be the primary factor affecting droplet size (Z_avg) and polydispersity index (PDI), with high-viscosity oils leading to poor emulsification into nanosized droplets. Higher processing temperatures improved NE formation by reducing viscosity during sonication. Ultrasound amplitude and pulse mode influenced NE characteristics, particularly under challenging conditions. Surfactant type and oil content had, instead, minor effects on the NEs’ features. ANN modelling accurately predicted NEs’ properties and identified critical viscosity limits for successful nanosized emulsification (Z_avg < 300 nm and PDI < 0.4). Conclusions: These findings provide a predictive basis for rational NE design under HEU, serving as a guide for researchers working in different fields. Full article

Importance: Most couples who turn to assisted reproductive technology (ART) treatment do so, usually, after giving up emotionally on the chances of conceiving naturally. Others undergo ovulation induction with intrauterine insemination (IUI) and turn to ART after the latter has failed. Spontaneous conception after having experienced the exhausting process of ART, whether it was successful or not, could be very surprising and confusing for many couples. Objective: Review all the scenarios within which an unexpected spontaneous conception can occur and the likelihood of its occurrence. These are four such scenarios: (1) after being referred to ART but before the actual initiation of ART; (2) between ART cycles; (3) after a successful ART pregnancy; (4) after giving up on treatment. We have found only a systematic review on #3, but not the other three. Evidence Review: We collected all PubMed citations for the terms “spontaneous conception” and ART or IVF. Thereafter, we realized that no AI tool can filter only the relevant literature. Hence, we exhausted all possible cross-references by manual search to ensure the completeness of the search. Findings: In each of the four scenarios, spontaneous conceptions occur. Before treatment, a critical element is the length of the waiting time, as is the gap between treatments when already treated, with the cost of treatment being a critical determinant. After the conclusion of treatment, whether successful or failed, the main determinants of the chance for spontaneous conception are age, length of infertility, and the leading etiology for infertility. Overall, the chances range from as little as 2% and up to 25%, with severe male factor and a woman’s age being the most notable for low rates. Conclusion and Relevance: Each couple entering ART treatment should be informed of the chances for spontaneous conception, whether as an aid to the decision to enter or the decision to leave after a failure, and on the more cheerful side, to be aware of the chances for unplanned pregnancy after a successful treatment. Full article

Centered on lean production, this study integrates operational technologies (OT), communication technologies (CT), and information technologies (IT) within an open-system software architecture. Under stochastic customer demand, reliance on static data and experience-based decision-making constrains firms’ responsiveness to market. The integration of lean management with a data-driven database enhances operational flexibility and decision quality, enabling small and medium-sized enterprises (SMEs) in the bicycle industry to develop responsive digital factory environments with real-time monitoring and improved operational transparency. The proposed platform is applicable to both manufacturing processes and operational management, improving overall equipment effectiveness (OEE), production efficiency, process optimization, and reducing quality losses, inventory levels, and workforce misallocation. This study investigates the application of the Analytic Hierarchy Process (AHP) and multi-criteria decision-making (MCDM) within a performance framework integrating ESG indicators and a balanced scorecard to identify key success factors for digital lean improvement in the bicycle industry. A case study of a bicycle manufacturer was conducted using questionnaire surveys and expert interviews with exporters. The results indicate that the five most critical success factors are: enhancing return on invested capital, strengthening digital capabilities, improving product quality, minimizing inventory waste, and reducing lead time. These findings provide practical guidance for decision-makers in designing more effective lean management strategies in highly competitive digital markets. Furthermore, by facilitating the adoption of appropriate digital technologies under a reasonable return on investment, this approach supports the systematic implementation of Industry 4.0 initiatives and transforms traditional lean practices into more efficient and sustainable digital lean operations. Full article

The diversity of mating systems in fish is unparalleled among vertebrates. This variability is shaped by a long evolutionary history associated with differences in selection pressures and plasticity within species. However, there is also significant intraspecific variability within species, often related to differences in environments among populations. Herein, I explore how habitat features (temperature, oxygen, turbidity and vegetation) and availability of mates or mating resources (nest sites, population density, sex ratio and alternative mating strategies) can affect the distribution of reproductive success in a population. The literature reviewed here indicates that differences in the intensity of sexual selection and variation in mating-system structure can be directly related to differences in breeding habitat. The way in which habitat affects mating-system structure is complex, with both abiotic and biotic factors interacting to influence different aspects of breeding behavior and success. Thus far, our understanding of variation in mating systems in fishes is based on very well-studied species, and more exploration is needed to provide an overview of habitat and mating-system structure. This is critical as we face human-induced changes in breeding habitats that can alter mating systems and potentially affect variation and viability of fish populations. Full article

To address the widespread issue of abnormally high pump pressure during hydraulic fracturing of deep-to-ultra-deep reservoirs (burial depth > 4500 m) in the Junggar Basin, this study systematically reveals the mechanical mechanism underlying this phenomenon by integrating well logging curve analysis and elastoplastic mechanics theory. Statistical results demonstrate that the actual fracture initiation pressure of 60% of wells in the target block is significantly higher than the values predicted by traditional elastic theory, primarily attributed to plastic yielding and stress concentration effects around perforations induced by high in situ stress. An elastoplastic rock fracture initiation pressure model is established based on the Mohr–Coulomb criterion and the plastic zone radius criterion, which is applied to predict the fracture initiation pressure of selected wells in the target block. The relative error between the model predictions and field measurements is less than 2%, significantly improving the prediction accuracy of fracture initiation pressure in deep-to-ultra-deep formations. This provides precise guidance for subsequent optimization of operational parameters and selection of pressure ratings for wellhead equipment. The study further clarifies that in situ stress difference, rock yield stress, and the power-law hardening exponent are the key factors controlling the transition of fracture initiation modes. To mitigate the high pump pressure challenge in deep-to-ultra-deep reservoir fracturing, the field application of weighted fracturing fluid effectively increases the wellbore hydrostatic column pressure, reduces wellhead operational pressure, and ensures construction safety. The findings of this study provide critical theoretical and technical support for achieving the goal of “successful fracture initiation and effective fracture control” in deep-to-ultra-deep reservoir fracturing. Full article

Background: Postpartum hemorrhage (PPH) remains a leading cause of maternal morbidity and mortality worldwide, accounting for approximately 27% of maternal deaths. In Spain, its incidence ranges from 2.5% to 5.2%. Clinical management has evolved toward a stepwise approach integrating pharmacological, mechanical, and surgical interventions. This study aims to analyze the evolution of these techniques during the 2020–2024 period to optimize decision-making and maternal outcomes. Methods: A systematic review was conducted following the PRISMA 2020 guidelines. Comprehensive searches were performed in PubMed, Scopus, and the Cochrane Library for studies published between 2020 and 2024 in English and Spanish. The PICO framework was utilized to evaluate interventions including intrauterine balloon tamponade (UBT), compression sutures, and arterial embolization, prioritizing outcomes such as bleeding control and fertility preservation. Out of 34 identified records, 13 studies met the final inclusion criteria. Results: The findings demonstrate a clear trend toward conservative management. Intrauterine balloon tamponade reported success rates of 80–90% in controlling refractory bleeding and significantly reduced the hysterectomy rates. B-Lynch compression sutures showed success rates between 68.4% and 100%, with generally favorable fertility outcomes. However, combining these sutures with devascularization increased the risk of uterine necrosis. Additionally, the early administration of tranexamic acid (TXA) within 3 h of birth was confirmed as a critical factor in reducing mortality. Conclusions: Acute PPH management has shifted toward protocol-based, sequential, and less invasive strategies. The implementation of standardized algorithms, care bundles, and simulation-based training is essential to reduce decision inertia and improve obstetric safety. While conservative mechanical and surgical techniques are effective, institutional protocols must be regularly updated to consolidate these technological and organizational advances. Full article

Aiming at the non-isothermal seepage phenomena in fractured rock mass, this paper conducts nonlinear dynamic research on the coupled seepage problem. Based on solid–fluid heat conduction energy equations and the mutual coupling of temperature and seepage fields, the non-isothermal seepage constitutive relation of fractured rock is derived, and a one-dimensional nonlinear dynamic governing model is established. Theoretical analysis indicates the equilibrium solution of non-isothermal seepage is more complex than that under the isothermal condition. Numerical calculations reveal that temperature variation shifts equilibrium positions and alters the occurrence conditions of hysteresis bifurcation, verifying temperature as a core regulatory factor for seepage dynamic responses. Successive sub-relaxation iteration stability analysis demonstrates obvious differentiated convergence speeds: the seepage field converges markedly faster than the temperature field when the coupled system reaches steady state. Compared with the isothermal seepage, the temperature effect changes the location of abrupt transition points and critical threshold of control parameters, rendering fractured rock seepage systems easier to trigger abrupt structural mutation even at low rock fragmentation degrees. This study clarifies the internal nonlinear dynamic mechanism of thermal–fluid coupled seepage, identifies potential mutation risks in petroleum exploitation and geothermal development, and supplies essential theoretical support for related engineering applications. Full article

Background/Objectives: Embryo implantation is a highly regulated, multistep process requiring precise synchronization between a developmentally competent blastocyst and a receptive endometrium. Despite advances in reproductive medicine, implantation failure remains a major limiting factor in assisted reproductive technology (ART), particularly in cases of recurrent implantation failure (RIF). This review aims to summarize current knowledge on the molecular, cellular, and immunological mechanisms governing embryo–endometrial interaction and to evaluate contemporary strategies for optimizing implantation outcomes. Methods: This narrative review synthesizes the current literature on embryo implantation, including studies addressing uterine receptivity, etiological factors contributing to implantation failure, and emerging diagnostic and therapeutic approaches. The review integrates findings from molecular biology, clinical ART practices, and bioengineering-based models. Key areas include transcriptomic tools such as endometrial receptivity analysis, time-lapse imaging, artificial-intelligence-based embryo selection, and advanced in vitro models (e.g., microfluidic “womb-on-a-chip” systems and three-dimensional embryo–endometrial platforms). The literature was identified through major biomedical databases, following a structured but non-systematic approach. Results: Implantation success is dependent on a complex interplay of hormonal regulation, gene expression, immune modulation, and embryo quality. Disruption of uterine receptivity during the window of implantation is a critical contributor to infertility and RIF. Multiple factors—including genetic abnormalities, maternal age, lifestyle influences, immunological imbalance, uterine pathology, and chronic endometrial conditions—are implicated in implantation failure. Emerging technologies, such as AI-assisted embryo selection, transcriptomic profiling, and advanced in vitro implantation models, provide enhanced insight into implantation dynamics and offer potential for improved clinical outcomes. Conclusions: Advances in understanding embryo implantation and the development of innovative diagnostic and therapeutic technologies hold significant promise for improving reproductive success. However, further research, validation, and standardization are required before these approaches can be fully integrated into routine clinical practice. A more personalized and mechanism-based approach to implantation may ultimately enhance ART outcomes and reduce the burden of infertility. Full article

MNOs are increasingly adopting 5G Fixed Wireless Access (FWA) to meet household demands for high-performance services. This study evaluated the adoption and quality of experience (QoE) of 5G FWA through a multi-phase study. First, it utilized a systematic literature review to develop a structural equation modeling (SEM) framework. Second, questionnaire surveys from 42 industry experts and 52 end-users were administered to identify quality of service (QoS) and user experience (UX) factors. Finally, the SEM analysis showed that UX was not transferable between FTTx and 5G FWA, as the correlation (y = −0.052, t-value= −0.10) was statistically insignificant. The technical QoS FTTx does not influence how users perceive the technical QoS 5G FWA (y = −0.02, t-value = −0.12). Bandwidth and quality are the most critical drivers for 5G FWA success regarding UX, whereas latency, MoS, and throughput are vital for QoS. Exploratory Factor Analysis (EFA) for the UX and QoS parameters of 5G FWA showed strong internal consistency across all identified factors. The framework with fit indices reflected excellent model QoS (RMSEA = 0.08, CFI = 0.973, TLI = 0.965, CMIN/DF = 1.254 and GFI = 0.782) and UX (RMSEA = 0.08, CFI = 0.895, TLI = 0.881, CMIN/DF = 1.377 and GFI = 0.655). The mathematical SEM model provides empirical evidence of the role of the service factor as an observed parameter and introduces a validated theoretical framework QoE-SEM; this study assists decision-makers in the telecommunications industry in formulating strategic models for upcoming 5G FWA. Full article

Digital technologies provide effective tools for formulating sustainable, evidence-based policies; however, this field has so far lacked a cohesive and practical framework to guide their application. Providing comprehensive answers to six primary research questions, this study aims to address this critical gap concerning the prerequisites, challenges, opportunities, key technologies, policy areas, and critical success factors (CSFs) for applying digital technologies in environmental sustainability policymaking. In this study, 39 articles were analyzed from 293 documents indexed in the Web of Science as of 19 August 2025, in accordance with the PRISMA 2020 guidelines. The prerequisites are categorized into the following themes: fiscal incentives, a culture of innovation and sustainability, effective regulations, robust digital infrastructures, participation, and reliable and accessible data. We identified significant challenges, including financial constraints, human resource deficits, infrastructural and regulatory gaps, and the adverse environmental impacts of digital technologies themselves. Opportunities emerged under two main domains: effective policymaking and enhanced environmental management. Our study indicates that pioneering technologies at the core of this transformation include artificial intelligence, big data, blockchain, the Internet of Things, machine learning, and robots. Their applications are predominant in key policy areas, including the environment, energy, climate change, urban sustainability, agriculture, industry, and food security. The analysis identifies four CSFs: the policy–digital–sustainability nexus, fundamental processes, soft capacities, and hard capacities. Full article

Bone loss in the maxillofacial region arises from multiple causes, including periodontal disease, trauma, surgical procedures, infection, congenital anomalies, and cancer. Traditional treatment relies on bone grafting, either alone or in combination with biomaterials. Advances in tissue engineering have introduced synthetic or natural scaffolds to mimic the mineralized bone matrix. Natural scaffolds offer excellent biocompatibility and similarity to native tissue but often lack sufficient mechanical strength and exhibit poor degradation rates. Synthetic scaffolds provide tunable porosity and mechanical stability; however, their biological inertness makes them poor sources of osteogenic signaling. A key factor in the success of any scaffold is its interaction with the host immune system. Upon implantation, the innate immune response is initiated, with neutrophils and macrophages being the first cells to contact the scaffold. Macrophage polarization toward proinflammatory (M1) or anti-inflammatory (M2) phenotypes determines whether the microenvironment favors inflammation or remodeling. The adaptive immune response also plays a critical role: T and B lymphocytes may promote tolerance and integration through Th2/Treg pathways and antibody-mediated regulation, or they may trigger chronic inflammation and rejection through Th1/Th17 activation. This review examines the natural and synthetic materials used for bone remodeling and their biological properties. It then outlines the sequence of immune events occurring from the moment a scaffold is implanted to its potential integration or failure. Finally, this study highlights the relevance of cellular models and in vitro assays for the early evaluation of immunogenicity and biocompatibility, which are essential for optimizing scaffold design and improving outcomes in maxillofacial bone regeneration. Full article

Background: Rotator cuff tears, a prevalent pathology with significant functional impact, primarily find their therapeutic approach in arthroscopic repair. The long-term success of this intervention is modulated by various factors, among which shoulder morphology stands out. In this context, the critical shoulder angle (CSA) has gained relevance as a potential predictor of postoperative prognosis. Objectives: To determine if the CSA influences the need for reoperation after retears and functional outcomes following the arthroscopic repair of chronic rotator cuff tears. Methods: A retrospective cohort study has been conducted, which includes 74 patients (between 47 and 86 years old, mean age of 58.85 ± 2.21 years) who underwent arthroscopic shoulder surgery for the repair of chronic rotator cuff tears by the traumatology service of a tertiary level hospital in the period between 2009 and 2022, to study variables such as the appearance of complications, reoperation, and functional outcomes. Results: Patients with a CSA greater than 40° represent 56.75% (n = 42). Functional improvement was achieved in 59.52%, in contrast to 40.48% of patients who did not obtain significant functional improvement (OR = 1.470; 95% CI = 1.009–2.141). The reoperation rate in this group was 21.4% (n = 9) (OR = 1.562; 95% CI = 1.085–2.249). Conclusions: This study provides statistically significant evidence that a high CSA (>40°) behaves as a risk factor for the reoperation rate and poorer functional outcomes after the arthroscopic repair of chronic rotator cuff tears. Full article

Antimicrobial resistance (AMR) is a leading global cause of death, with recent World Health Organization (WHO) data revealing that one in six laboratory-confirmed bacterial infections shows resistance to at least one antibiotic treatment. This review comprehensively analyzes the AMR landscape in 2026, detailing its evolution, mechanisms, and the innovative strategies being deployed to combat it. Driven by Darwinian selection and accelerated by factors like antibiotic overuse during the Coronavirus Disease 2019 (COVID-19) pandemic (predominantly in hospitalized patients with suspected bacterial co-infection), AMR is propelled by a diverse molecular arsenal in bacteria. Key mechanisms include enzymatic drug inactivation (e.g., the diversifying β-lactamase superfamily), target site modification (e.g., mcr genes conferring colistin resistance), efflux pumps, and biofilm formation. The rapid global spread of these traits is facilitated by a dynamic “mobilome”, a network of plasmids and transposons that shuttle resistance genes between species. This crisis has sparked a major scientific mobilization. Advances include the discovery of novel antibiotic scaffolds like lariocidin and the regulatory approval of critical new antibiotic/inhibitor combinations such as sulbactam/durlobactam and aztreonam/avibactam, which target highly resistant Gram-negative bacteria. Moreover, the first-in-class antibiotic gepotidacin offers a new option for urinary tract infections. Beyond traditional drugs, the pipeline is diversifying to include phage therapy, antivirulence strategies, and artificial intelligence-guided drug discovery. This diversification is critical as it helps preserve the effectiveness of existing Medically Important Antimicrobials (MIAs), those deemed essential for human medicine, by providing alternative or adjunctive treatment options. However, scientific innovation alone is insufficient. This review argues that lasting success requires parallel progress in global policy and infrastructure. Strategic priorities beyond 2026 must include finalizing and funding updated global action plans, strengthening real-time surveillance and diagnostic capacity, especially in low-resource settings, and implementing new economic models to de-risk antibiotic development. Embedding effective antimicrobial stewardship within universal health coverage and pandemic preparedness plans is crucial. Ultimately, defeating AMR demands an unprecedented, coordinated global effort that outpaces the relentless adaptability of bacterial pathogens. Full article

This study examines how digital tax transformation contributes to fiscal sustainability through the interaction of technological, organizational, and institutional factors. Using a systematic literature review (SLR), the study synthesizes evidence on digital tax administration to identify key drivers of transformation. The findings indicate that digital technologies improve tax compliance, administrative efficiency, and transparency. However, technological adoption alone is insufficient to ensure sustainable outcomes. Organizational capabilities play a critical role in translating digital investments into performance, while institutional environments shape the effectiveness of reform implementation. In addition, temporal dynamics highlight that early policy and institutional decisions influence long-term transformation outcomes. These findings suggest that successful digital tax reform requires not only technological investment but also strong organizational capacity and supportive institutional frameworks. Policymakers should prioritize integrated reform strategies, strengthen human capital, and ensure regulatory alignment to achieve sustainable fiscal outcomes. This study contributes by providing an integrated framework that explains how digital transformation supports sustainable revenue mobilization and offers practical guidance for digital government reform. Full article

Underwater manipulator grasping remains challenging because image blur, light attenuation, and flow-induced disturbances degrade perception and control. These factors make target localization, contact judgment, and stable lifting difficult, especially when visual degradation and tactile fluctuation occur together. We propose AVT-TD3, an adaptive visual–tactile fusion reinforcement learning method for underwater manipulator grasping. AVT-TD3 constructs a unified policy state from visual observations, short-horizon tactile variations, and manipulator proprioception. A gated fusion module adjusts the contribution of each sensory branch, while an action modulation mechanism limits abrupt velocity-command changes during contact establishment and lifting. We train the continuous grasping policy with Twin Delayed Deep Deterministic Policy Gradient (TD3) and evaluate it in simulation under different turbidity, flow velocity, and target conditions, followed by controlled water-tank feasibility validation. Simulation results show that AVT-TD3 achieves better performance than Deep Deterministic Policy Gradient (DDPG), Soft Actor-Critic (SAC), and standard TD3 in success rate, completion steps, slip rate, and velocity-command smoothness. In the standard test scenario, AVT-TD3 achieves a success rate of 92.7%, an average of 76 completion steps, a slip rate of 4.1%, and an action variation magnitude of 0.20. Controlled water-tank tests further support the feasibility of deploying AVT-TD3, although open-water validation remains for future work. Full article