Search Results (15,517)

Thalassemia is an inherited hemoglobin disorder characterized by chronic hemolytic anemia and substantial long-term healthcare needs. In β-thalassemia major, patients typically require regular red blood cell transfusions with iron chelation to prevent transfusional iron overload. Although supportive care has markedly improved survival, it is associated with a high treatment burden and does not provide a cure. In recent years, curative and disease-modifying therapies have expanded the treatment landscape. Allogeneic hematopoietic stem cell transplantation (HSCT) offers a potentially curative option for selected patients, while autologous gene therapy and gene-editing approaches have shown the capacity to achieve transfusion independence in clinical studies. In parallel, pharmacologic advances—including luspatercept, a transforming growth factor-beta (TGF-β) ligand trap—have been shown to enhance erythropoiesis and reduce transfusion requirements, and emerging agents such as fetal hemoglobin inducers (e.g., thalidomide) and the oral pyruvate kinase activator mitapivat have demonstrated clinically meaningful hemoglobin improvements in selected populations. Adjunctive strategies, including antioxidants, are under investigation to mitigate oxidative stress, and applications of artificial intelligence are increasingly used to support screening, diagnosis, and longitudinal monitoring of iron overload. This review synthesizes recent advances in curative therapies, novel pharmacologic agents, supportive strategies, and AI-enabled tools and highlights priorities for future clinical development and implementation. Full article

Pitch-based foam carbon, a novel lightweight material, boasts excellent mechanical and thermoelectric properties, and tantalum film deposition on its surface can further enhance its performance. However, this deposition process often suffers from non-uniform deposition and suboptimal coating quality. To address these issues, this study systematically optimized the furnace structure by tuning pipe diameter, tilt angle, and porous media height. Numerical simulations of 216 models were conducted to evaluate the effects of these parameters on axial velocity, turbulence intensity (quantified by the vortex criterion Q > 1), and reactant concentration uniformity. The results showed that pipe diameters below 70 mm increased the mean axial velocity by 8-fold compared to larger diameters, whereas tilt angles of 15° and porous media heights of 60–80 mm yielded limited velocity enhancements of only 2%. Pipe diameter was identified as the dominant factor governing flow stability, inducing up to a 300% variation in the volume fraction of Q > 1, with minimal turbulence observed at the maximum diameter. In contrast, adjustments to tilt angle and porous media height had weaker effects, altering the Q > 1 volume fraction by 26% and 5%, respectively. Smaller pipe diameter (70–80 mm) also optimized TaCl₅ concentration uniformity; tilt angles between 0° and 30° showed negligible influence, while porous media height exhibited no definitive trend. Guided by the practical priorities of process evaluation, a multi-objective optimization was performed. The globally optimal structural parameters were determined to be a pipe diameter of 70 mm, a tilt angle of 15°, and a porous media height of 60 mm, which comprehensively balance deposition uniformity, process stability, and deposition efficiency. These findings establish pipe diameter as the pivotal factor for deposition homogeneity and provide a reference scheme for the structural design of industrial tantalum deposition furnaces and lay a foundation for subsequent multi-physics coupling studies and experimental validation. Full article

Reliable short-term prediction of bus travel time on signalized urban arterials is essential for improving service reliability and may provide a useful forecasting basis for prediction-informed transit signal priority (TSP) and arterial coordination applications. However, bus operations on urban arterials are highly variable due to stop dwell times, signal delays, and interactions with mixed traffic, leading to nonlinear and nonstationary travel time patterns with strong spatiotemporal dependence. This study proposes a hybrid KNN–ConvLSTM framework for short-term arterial bus travel time prediction using real-world field data. A K-nearest neighbors (KNNs) module is first employed to retrieve historical operation sequences that are most similar to the current corridor state, thereby reducing interference from mismatched traffic regimes and improving robustness. Smart-card (IC card) transaction data are incorporated as demand-related features to represent passenger activity and its impact on dwell time and travel time variability. The selected sequences are then organized into a corridor-ordered spatiotemporal representation and further refined by lightweight temporal enhancement operations, including relevance gating, multi-scale aggregation, adaptive feature fusion, and residual enhancement, before being fed into the convolutional long short-term memory (ConvLSTM) predictor. The proposed approach is evaluated using weekday service-hour data extracted from 30 days of real-world bus operation records collected from a typical urban arterial corridor in Changchun, China, and is compared with several benchmark models, including ARIMA, KNN, LSTM, CNN, ConvLSTM, Transformer, and DCRNN. The results indicate that the proposed KNN–ConvLSTM framework achieves an MAE of 40.1 s, an RMSE of 55.8 s, a SMAPE of 10.7%, and an R² of 0.878, outperforming all benchmark models. Specifically, compared with the Transformer baseline, the proposed framework reduces MAE by 1.5%, RMSE by 5.1%, and SMAPE by 7.0%, while increasing R² by 0.014. Compared with the DCRNN baseline, it reduces MAE by 10.7%, RMSE by 1.9%, and SMAPE by 2.7%, while increasing R² by 0.008. These findings demonstrate that similarity-aware retrieval combined with spatiotemporal deep learning can substantially enhance short-term bus travel time prediction on signalized urban arterials. More accurate short-term forecasts may support prediction-informed transit signal priority and arterial coordination by providing more reliable downstream arrival-time estimates. However, the generalizability of the reported results is still constrained by the relatively short 30-day observation period and the single-corridor case setting, and the operational and environmental effects of downstream applications remain to be validated through dedicated closed-loop control evaluation in future work. Full article

The internationalization of university research is driven by multiple, overlapping rationales that operate across institutional and individual dimensions and condition how international engagement becomes feasible in practice. This study examines how Honduran university faculty constructs and articulates the reasons for internationalizing their research activities; it identifies the discursive positions that emerge from these accounts. A qualitative–structural approach was used to analyze the discursive data produced in the group meetings convened through with an ad hoc structural sample. The analysis identified and graphically represented five discursive positions configured as a relational structure: (A) Professional Development, (B) Ethical–Political Commitment, (C) Financial Acquisition, (D) Academic Prestige, and (E) Sociocultural Engagement. Together, these positions capture distinct yet interrelated motivations by which faculty members pursue research internationalization. By mapping this relational configuration, the study contributes to the literature by showing how faculty rationales are combined and hierarchized in situated academic practice and provides empirically grounded insights for designing, planning, and managing strategies that align institutional priorities with the diversity of faculty rationales, thereby leveraging their tensions and complementarities to strengthen the effectiveness and sustainability of research internationalization within the university context. Full article

Peri-implant marginal bone stability remains a major determinant of long-term implant success, yet clinical studies report early marginal bone changes ranging from near-stable conditions in some protocols to approximately 1–2 mm during the first year in more traditional series, underscoring considerable biological variability. In the present review, a remodeling-dominant state refers to turnover-led peri-implant adaptation with limited net cortical gain, whereas modeling-driven apposition refers to uncoupled surface bone addition and cortical reinforcement. We conducted a structured narrative review of PubMed/MEDLINE, Scopus, and Web of Science for literature published between 2000 and February 2026 and qualitatively synthesized direct peri-implant evidence, craniofacial/oral non-implant evidence, and extrapolative mechanobiology from long-bone and systemic models. The available literature supports osteocyte-centered SOST/Wnt regulation as biologically plausible for peri-implant cortical adaptation; however, direct human peri-implant molecular validation remains limited. Based on this synthesis, we propose a hypothesis-generating framework in which mechanical signal profile, microenvironmental stability, and host-related factors influence the probability of transition from a remodeling-dominant to a modeling-dominant peri-implant state. This framework should therefore be interpreted as a testable conceptual model rather than a validated peri-implant mechanism. Its main value lies in organizing current evidence and defining priorities for translational studies that integrate molecular, imaging, and biomechanical endpoints. Full article

Emergency locator transmitters (ELTs) are key safety systems for post-crash aircraft localization and search-and-rescue operations. In more electric aircraft (MEA), however, their design and operation are increasingly influenced by complex electrical architectures, tighter equipment integration, and more demanding electromagnetic environments. This paper presents a narrative literature review of ELT technology from a MEA-oriented perspective. A practice-oriented narrative approach is adopted, examining ELTs through a dual lens: the evolution of the search and rescue (SAR) ecosystem and the progressive electrification of aircraft systems. The review addresses ELT fundamentals, classifications, operating principles, and interaction with the Cospas-Sarsat infrastructure, and examines the transition from legacy analog beacons to modern 406 MHz digital systems incorporating GNSS positioning, MEOSAR capabilities, second-generation beacon functionalities, and distress tracking features. Particular attention is given to integration challenges in MEA platforms, including autonomous energy supply, battery endurance, power quality disturbances, electromagnetic compatibility, installation robustness, antenna survivability, and certification constraints. The analysis highlights that ELT performance in MEA depends not only on the beacon itself, but also on the coupled interaction among device design, installation conditions, and the electrical environment. Finally, the review outlines research priorities for next-generation ELTs, including improved survivability assessment, energy-aware architectures, integration strategies based on electromagnetic compatibility, and certification-ready solutions compatible with future aircraft platforms. Full article

Qinghai Province shoulders the heavy responsibility of serving as China’s ecological security barrier. In the process of implementing the “ecological priority” strategy, the green development of grassland animal husbandry in Qinghai Province plays an especially important driving role. To systematically reveal the temporal and spatial evolution characteristics and core driving mechanism of Green Total Factor Productivity (GTFP) and provide a decision-making basis for the green transformation and high-quality development of regional animal husbandry, this paper, based on relevant data from 2010 to 2024 in Qinghai Province, constructs a measurement and influencing factor index system for the GTFP of grassland animal husbandry. Then, it conducts a systematic analysis of the temporal evolution and spatial differentiation characteristics of the GTFP of grassland animal husbandry in Qinghai Province using methods such as trend surface analysis and standard deviation ellipse. Subsequently, the influencing factors are discussed through the geographic detector model. The research findings are as follows: (1) During the study period, the GTFP of grassland animal husbandry in Qinghai Province shows an overall upward trend. Spatially, it presents a regional pattern of “strong in the north and stable in the south,” with the migration center moving towards the northeast and the distribution becoming more concentrated. (2) The level of fiscal support for agriculture, accessibility of transportation, the degree of environmental governance and the degree of digitalization play core driving roles in the process of GTFP climbing in grassland animal husbandry. (3) Interaction analysis shows that the explanatory power of any two influencing factors in the study area is higher than that of a single factor, and the interaction between the level of fiscal support for agriculture and the degree of environmental governance is the most significant. Therefore, the key to improving the GTFP of grassland animal husbandry in Qinghai Province lies in the coordinated allocation and linkage of financial support for agriculture and environmental governance. At the same time, this study can provide reference value for the green transformation and high-quality development of plateau grassland animal husbandry. Full article

Background/Objectives: Multidrug-resistant (MDR) Enterobacter spp. are critical pathogens within the ESKAPE group, frequently exhibiting resistance to carbapenems. Antimicrobial photodynamic therapy (aPDT) represents a promising non-antibiotic strategy to circumvent these resistance mechanisms. This scoping review aims to map the current evidence regarding the efficacy of aPDT in inactivating Enterobacter spp., identifying the most effective photosensitizers (PS), light parameters, and existing research gaps. Methods: A systematic search was performed across PubMed, Scopus, and Google Scholar (2013–2025) following PRISMA-ScR guidelines and registered on OSF. Studies were included if they evaluated aPDT against Enterobacter spp. (in vitro or in vivo) and provided quantitative data on microbial reduction. Data was extracted using a standardized charting form covering bacterial strains, PS type, light source, and viability reduction. The results from the eligible sources of evidence were synthesized narratively to address the review objectives. Results: Despite the clinical priority of Enterobacter, only seven studies met the eligibility criteria. Methylene Blue remains the most frequently studied PS, achieving reductions of 3–8 log₁₀. Emerging evidence highlights the synergistic efficacy of monocationic chlorins and graphene-based nanomaterials in enhancing the bactericidal effect of light-based treatments. Notably, aPDT demonstrated the ability to inactivate carbapenemases, the bacterial enzymes responsible for carbapenem resistance. However, only two studies evaluated in vivo applications, primarily within dental settings. Conclusions: aPDT is a promising method against MDR Enterobacter spp. and bypasses traditional resistance mechanisms. However, the limited number of studies indicates a significant knowledge gap. Future research should focus on standardized in vivo protocols and the synergy between aPDT and conventional antibiotics to support clinical translation. Full article

Soil salinization constrains the sustainability of irrigated oasis agriculture in arid regions. Using repeated post-harvest monitoring of 125 fixed cropland sites in Bachu County, southern Xinjiang, from 2018 to 2021, this study investigated the short-term spatiotemporal variability of topsoil total salt content (TSC) and pH. Descriptive statistics, one-way ANOVA with Tukey’s HSD test, Universal Kriging interpolation, class-transition analysis, hotspot recurrence, centroid migration, and principal component analysis were used to characterize temporal variation, spatial structure, and environmental gradient associations. TSC showed a mitigation–rebound sequence, decreasing to 4.88 ± 5.21 g kg⁻¹ in 2020 and increasing to 6.90 ± 5.93 g kg⁻¹ in 2021, whereas pH increased first and then declined. Salinity remained consistently concentrated in downstream cropland, while pH showed weaker and more year-dependent zonal differentiation. Class-transition analysis revealed marked salinity reorganization in 2021, mainly driven by conversion from lower-salinity classes to moderately and severely saline classes. Severe-salinity hotspots were temporally intermittent but spatially recurrent in the downstream zone, whereas high-pH hotspots were short-lived and mainly confined to the upstream zone. PCA further showed that TSC and pH were aligned with different environmental gradient combinations. Overall, the four-year sequence should be interpreted as short-term interannual variability rather than a robust long-term sequence. These results indicate that TSC and pH should not be treated as interchangeable indicators in oasis cropland assessment, and they provide a transferable basis for zone-specific salinity monitoring and management, with priority given to persistent downstream sink areas. Full article

Extreme weather events have raised the frequency of power outages, posing critical challenges to the sustainability and resilience of modern power systems. In such cases, distributed energy resources (DERs) can effectively support the re-establishment of sustainable power supply for critical loads within the distribution network and reduce power outage losses. In this paper, a sustainable fault recovery framework based on an intentional islanding scheme is proposed to partition the distribution system in order to optimize the priority restoration of critical loads, while taking the operational constraints of the system into consideration. In addition, a blockchain-based P2P insurance mechanism is applied to mitigate the outage losses of the network’s users with a higher degree of security and transparency. By linking technical restoration decisions with financial risk-sharing mechanisms, the proposed framework improves economic sustainability and social equity among network users. For this purpose, a multi-layer, multi-objective optimization algorithm is proposed for optimal partitioning of the distribution network, management of DERs, and demand side management of flexible loads in order to minimize the outage losses and the insurance premium, while maintaining satisfactory performance of the network. To validate the feasibility of the proposed algorithm, the 45-node distribution network of Alexandria, Egypt is used. The results show that a reduction in peak load, outage losses, and operational costs are achieved, with an overall saving of 17.34%, in addition to a premium reduction of 41.3%. These results highlight the effectiveness of the proposed framework in enhancing the environmental, economic, and operational sustainability of distribution systems under outage conditions. Full article

Glucosinolates (GSLs) are unique sulfur-containing secondary metabolites in Brassica crops that critically influence stress resistance, nutritional quality, and economic value. This review systematically summarizes the chemical classification, tissue-specific distribution, and conserved three-phase biosynthetic pathway of GSLs in Brassica species. We dissect the core MYB–MYC–WRKY transcriptional regulatory network, elucidate how whole-genome duplication-driven gene functional diversification shapes species-specific GSL accumulation patterns, and outline the multi-layered regulatory system integrating endogenous and exogenous signals. Furthermore, we consolidate recent advances in the genetic dissection of GSL traits and molecular breeding strategies for targeted trait improvement. Finally, we propose a three-tiered regulatory cascade model for GSL metabolism and highlight future research priorities to address current breeding bottlenecks. This work provides a systematic theoretical framework for functional research and precision breeding of GSL metabolism in Brassica crops. Full article

The treatment of chronic lymphocytic leukemia (CLL) has significantly shifted from chemoimmunotherapy to targeted therapies like Bruton’s tyrosine kinase and BCL2 inhibitors. Despite these advancements, CLL remains an incurable disease characterized by immune dysregulation, therapeutic resistance, and cumulative toxicities. To overcome these challenges, novel immunotherapeutic strategies are emerging as fundamentally different approaches that target immune–tumor interactions. These innovations include novel monoclonal antibodies, bispecific antibodies that redirect T cell cytotoxicity, chimeric antigen receptor (CAR) T-cell therapies, and natural killer (NK) cell-based platforms. By actively engaging cellular cytotoxicity, these approaches show promise in high-risk and treatment-resistant scenarios where standard pathway inhibition is inadequate. Establishing optimal use, toxicity management, and combination strategies for these cell-engaging immunotherapies is now a critical priority in contemporary CLL research. Full article

Background/Objectives: Candidates with cardiometabolic risk are considered for living kidney donation more frequently because of the global organ shortage. The 2017 Kidney Disease: Improving Global Outcomes (KDIGO) guidelines introduced individualized risk assessment based on composite donor profiles rather than categorical exclusion, but the long-term implications of accepting donors with potential risk factors require careful evaluation. This review synthesizes current evidence on outcomes of living kidney donors with obesity, prediabetes, hypertension, and smoking. Methods: A literature search was conducted in PubMed/MEDLINE for studies published between 1 January 2000 and 28 February 2026, including cohort studies, registry analyses, meta-analyses, and clinical guidelines evaluating living kidney donors with obesity, smoking, prediabetes, or hypertension. Priority was given to large cohorts with long-term follow-up. Over 70 publications were included in the final synthesis. Findings were synthesized narratively by risk factors and outcomes. Results: Obesity was associated with an 86% increased end-stage kidney disease (ESKD) risk and 32% increased 20-year mortality. Central adiposity measures outperformed body mass index (BMI) for predicting estimated glomerular filtration rate (eGFR) decline. Post-donation weight gain increased the risk for developing hypertension and diabetes. Smoking conferred a 7.5-fold chronic kidney disease (CKD) risk, with impaired compensatory renal adaptation after donation. Prediabetic donors showed comparable outcomes to normoglycemic donors, with 57.8% reverting to normoglycemia at 10 years. Pre-donation hypertension increased 15-year ESKD risk 3-fold, but absolute risk remained low. At 15 years post-donation, over 50% of the donors developed hypertension. Glucagon-like peptide-1 (GLP-1) receptor agonists reduce diabetes progression by 73–94% in at-risk populations, but prospective studies in donors are lacking. Conclusions: Each risk factor carries quantifiable risks for individualized stratification. These risk factors usually coexist and interact. Refinement of risk prediction models, strategies for metabolic optimization and prospective evaluation of emerging pharmacologic therapies are key priorities. Full article

Translating diverse stakeholders’ needs for tourism into precise technical requirements for mobile resilience applications is a significant challenge, especially for at-risk coastal communities. Therefore, we developed a structured decision-support framework that uses the Analytic Hierarchy Process (AHP) combined with Multi-Criteria Decision Analysis (MCDA) to systematically identify and prioritize functional features for a disaster-resilient tourism application called AuTour. The framework was validated through a case study in Aurora Province, Philippines, involving 152 diverse stakeholders, including government officials, tourism operators, and technology students. The AHP analysis results revealed that safety infrastructure (a mean weight of 0.5256) was the dominant design criterion, far outweighing environmental sustainability (0.2480) and community preparedness (0.1241). The MCDA ranked key functional modules using these criteria to determine an optimal system architecture. The highest-priority features identified were a real-time Disaster Preparedness Alert module, a geospatial Smart Tourism Guide, and a participatory Health Surveillance module. The analysis results confirmed high utility for features incorporating AI-powered chatbots (a mean score of 4.1921) and multi-dialect communication capabilities (4.1513). The developed scalable, data-driven framework can be used for user-centered design in the critical domain of disaster-resilient technology. By translating stakeholder priorities into a ranked set of technical specifications, the framework contributes to the development of resilient mobile systems, supporting the achievement of Sustainable Development Goals for innovation (SDG 9) and resilient infrastructure (SDG 11). Full article

The increase in older adults and active lifestyles has made chondral and osteochondral lesions common in the population, making them one of the central challenges in orthopedics. Although hydrogel-based regenerative medicine offers an encouraging therapeutic option for these lesions, important obstacles still prevent these therapies from reaching the clinic. In view of these factors, we adopted a risk-based approach for this review, in line with the current legislative requirements in clinical translation and clinical trials. We identified the factors that could undermine patient safety or lead to poor outcomes. Then, we outlined solutions to remedy these problems that integrate hydrogel technology, clinical/pharmaceutical/surgical protocols, and post-operative follow-up. Upcoming studies should give priority to the development of hydrogel scaffolds modified to mimic cartilage’s mechanical and physicochemical properties, together with patient-specific features. Other crucial characteristics are host-tissue integration, long-lasting cartilage tissue regeneration, and a positive outcome. In parallel, to scale complex and costly innovations, efforts should focus on a harmonized, simplified legislative landscape, optimized standards, and established follow-up protocols. Getting through this “valley of death” between research and innovation is strategic for reaching the clinics and the largest number of patients. Full article