Search Results (2,418)

Digital identity and battery-passport systems can make electric-vehicle battery lifecycle records traceable, but traceability alone does not guarantee verifiable evidence or physical recycling compliance. We develop a normative two-stage Stackelberg model in which a regulator chooses audit intensity and verified incentives and a representative obligated firm jointly chooses pre-verification evidence quality and recycling compliance. The benchmark is stress-tested under reduced eligibility-confirmation effectiveness, alternative evidence–recycling interaction, decentralized manufacturer–recycler decisions, and implementation costs. Baseline traceability can leave evidence quality at the reporting floor and compliance incomplete, while additional responsibility exposure can conditionally increase recycling compliance while reducing evidence quality. Coordinated verified incentives improve both decisions and welfare in the benchmark complementarity domain. At zero eligibility-confirmation effectiveness, the fixed positive-rate package can become marginally welfare-inferior under finite capacity; adverse interaction can reverse a cross-effect, decentralization creates coordination underinvestment, and high payment or startup costs create single- or no-positive-payment regions. The model is therefore a forward-looking governance analysis rather than an empirical evaluation or legal calibration of current Chinese or European Union rules. Full article

To address the core industrial bottlenecks of conventional batch tannic acid-based germanium precipitation processes—high reagent consumption, long reaction cycles of several hours, severe impurity co-precipitation as well as the common mismatch between single-channel microreactor throughput and industrial production demands. This work combines numerical simulation with experimental validation to investigate microscale two-phase flow regulation, high-throughput microreactor optimization, and tannic acid precipitation intensification. Two-dimensional two-phase flow models are established for straight and zigzag microchannels, with the level set method applied to track interfacial evolution. The regulatory effects of inlet velocity and channel geometry on flow patterns, droplet behavior and mixing performance are clarified. Zigzag channels induce chaotic convection via periodic corners, achieving an order-of-magnitude improvement in mixing efficiency at low Reynolds numbers (Re < 400), which lays a fundamental basis for reaction intensification. Taking zigzag channels as core units, a bidirectional symmetric superposition scale-up strategy is proposed to break the throughput limitation of single-channel systems, and a 3D-printed high-throughput microreactor integrating 78 parallel zigzag channels is designed. 3D simulations reveal a three-stage mixing mechanism and uniform flow distribution among parallel channels, with total throughput two orders of magnitude higher than a single channel. Single-channel experiments with industrial germanium-bearing raffinate yield 91.81% precipitation efficiency under optimal conditions, reducing the reaction residence time from hours in conventional batch processes to the second scale. Staged reagent addition and two-stage serial configuration further raise the efficiency to ~98%, realizing deep germanium recovery with significantly improved reagent utilization and reduced impurity co-precipitation. This process achieves efficient intensification of the chelation precipitation process while balancing throughput and mixing performance, providing a novel and technically feasible approach for efficient low-consumption germanium recovery, and offering solid technical support for the industrial application of microreactors in the hydrometallurgy field. Full article

The microphthalmia-associated transcription factor (Mitf) family is central to melanocyte biology. Teleosts possess two mitf paralogs, mitfa and mitfb, yet their functional divergence remains incompletely understood. Here, we characterized the coding sequences, phylogeny, tissue distribution, developmental expression, cellular localization, and stress responsiveness of mitfa and mitfb in Congjiang natural mutant crucian carp (NMCC). Both genes encoded proteins containing the characteristic bHLH-ZIP domain. Phylogenetic analysis revealed that teleost mitfb clustered with the tetrapod mitf clade, indicating closer evolutionary affinity than mitfa. mitfa was predominantly expressed in skin and eyes, whereas mitfb showed broad tissue distribution. Both paralogs were constitutively expressed in skin across developmental stages; mitfa levels remained consistently lower than mitfb. Both transcripts were localized to melanocyte-containing regions of the skin. Transcriptomic analysis following high temperature (34 °C), UV radiation, and combined stress (48 h) revealed that mitfa was significantly upregulated by thermal stress, while mitfb showed no significant changes. Profiling of DNA damage response pathways uncovered extensive, stress-specific transcriptional remodeling. High temperature broadly suppressed apoptotic genes while upregulating tsc2, gadd45b, and cdip1; UV triggered widespread apoptotic gene activation. Combined stress elicited a hybrid signature. Notably, robust DNA Damage Response pathway remodeling contrasted with muted mitf responses, suggesting that DNA Damage Response-to-pigmentation signaling may operate predominantly at post-transcriptional levels. These findings reveal a substantial regulatory divergence between mitfa and mitfb, with mitfa maintaining a conserved melanogenic role while mitfb has been co-opted for broader functions in non-pigmentary tissues. The differential stress responses of the two paralogs further provide new insights into tissue-specific genotoxic stress signaling and melanogenic regulation in teleosts. Full article

Background: Drought tolerance in wheat is a complex trait controlled by multiple regulatory networks, among which calcium-dependent protein kinases (CDPKs) act as important components linking stress perception with downstream cellular responses. However, the functional contribution of individual CDPK members to drought adaptation in wheat remains largely unclear. This study aimed to identify and functionally characterize drought-responsive CDPK genes associated with differential drought responses in wheat. Methods: Two wheat lines derived from the same breeding background exhibiting contrasting drought adaption, 23B1 and 23B39, were subjected to PEG6000-induced osmotic stress. Growth traits, osmotic adjustment-related metabolites, membrane damage indicators, and antioxidant enzyme activity were evaluated. Transcriptomic analysis was performed at early drought-response stages, followed by differential expression analysis, functional enrichment, CDPK family screening, and qRT-PCR validation. The role of TaCDPK22-5A was further investigated using barley stripe mosaic virus (BSMV)-mediated virus-induced gene silencing (VIGS). Results: The drought-responsive line 23B1 maintained stronger growth, accumulated higher levels of proline and soluble sugars, exhibited enhanced peroxidase activity, and showed reduced membrane lipid peroxidation compared with 23B39. Transcriptome analysis revealed extensive transcriptional reprogramming under drought stress, with differentially expressed genes mainly associated with metabolic adjustment, transport regulation, secondary metabolism, and stress-responsive pathways. Among the identified CDPK members, TaCDPK22-5A showed a strong drought-responsive expression pattern in the line exhibiting stronger drought tolerance (23B1). Virus-induced gene silencing of TaCDPK22-5A significantly impaired drought tolerance, resulting in reduced growth, biomass accumulation, and chlorophyll retention under drought conditions. Conclusions: These findings demonstrate that TaCDPK22-5A contributes positively to drought adaptation in wheat and highlight CDPK-mediated calcium signaling as an important regulatory component of drought responses. The identified gene provides a potential target for improving drought resilience in wheat breeding. Full article

With the backdrop of the coexistence of sustainable development of marine economy and ecological environment restrictions, how to enhance the efficiency of marine environmental governance (MEGE) has become a significant topic whereby coastal regions should attain green transformation. The research object in this paper is 11 coastal provincial administrative units in mainland China between 2013 and 2021, and marine environmental governance is divided into two stages of production and governance. MEGE and its stage efficiency are measured with the help of the two-stage super-efficiency Network SBM model, and the efficiency growth is characterized with the help of the Network Malmquist index. It is on this basis that, using the technology–organization–environment (TOE) framework, six antecedent conditions of digital economy, technological innovation, marine industrial structure, marine industrial agglomeration, environmental regulation, and degree of openness are chosen and fsQCA is applied to determine the multiple configuration paths of high MEGE growth. The findings indicate the following: (1) The MEGE in the coastal regions of China is improving in general, although the differences in the region remain evident. The efficiency characteristics of the production stage and the governance stage differ, and the inter-provincial differentiation of the governance stage is more pronounced. (2) No single condition is required to achieve high MEGE growth but four equifinal configurations created by the combined action of several conditions can be further reduced to three types, namely technology–environment driven, technology–organization–environment synergistic and technology–organization driven. (3) There exists apparent synergy, compensation, and substitution relationships between technology, organization, and environmental conditions. The most important aspect of high-efficiency growth is not that all positive conditions are on a high level simultaneously, but that a complex of conditions corresponding to the foundation of regional development is created. (4) High and non-high MEGE growth have a strong causal asymmetry and the effective driving routes in various regions are also different. This paper extends the study of the efficiency of marine environmental governance in the two dimensions of internal stage structure and configuration mechanism, and applies accurate, path adaptation, and regional differentiation governance to coastal regions. Full article

Complex narrow-channel reservoirs are strongly constrained by depositional architecture, resulting in highly nonuniform areal waterflood sweep, and pronounced water-cut variations among different channel types. These characteristics pose substantial challenges to stabilizing oil production and controlling water cut at high water-cut stages. To elucidate how narrow-channel planform architecture controls waterflood sweep, gel-assisted flow-field regulation by heterogeneous-phase composite flooding (HPCF), and remaining-oil mobilization, three representative configurations were reproduced in two-dimensional visual physical models. Sequential waterflood–HPCF–post-waterflood experiments were conducted, and time-lapse images and dynamic production data were integrated to characterize sweep evolution and remaining-oil mobilization across displacement stages. The results demonstrate that narrow-channel architecture exerts primary control on preferential flow-path development, gel migration and retention, spatial fluid redistribution, and displacement performance. During waterflooding, injected water preferentially migrated through high-permeability zones along channel centerlines, leaving channel margins, branch termini, and poorly connected regions insufficiently swept. After HPCF injection, the gel-containing composite system preferentially entered the established dominant flow paths. Gel retention and accumulation selectively increased flow resistance in these pathways, while mobility control induced subsequent fluids to divert toward bypassed regions, thereby enlarging the macroscopic swept volume and improving local displacement efficiency. A low injection rate promoted sustained gel-assisted flow diversion within bifurcated channels, whereas a high injection rate facilitated gel-slug propagation against the geometric constraints of highly sinuous channels and expanded its spatial coverage. Compared with waterflooding alone, HPCF increased the ultimate oil recovery of the three channel models by 19.23–26.47 percentage points. These findings clarify the coupled effects of narrow-channel architecture, gel transport and injection parameters on the profile-control and oil-recovery performance of HPCF, providing a mechanistic basis for water control and development optimization in high-water-cut narrow-channel reservoirs. Full article

Background: Seed dormancy is crucial for plant survival and agricultural productivity, yet its molecular mechanisms, particularly the role of maternal effects, remain poorly understood. Methods: In this study, we applied a SWATH-based, label-free, quantitative shotgun proteomic mass spectrometry approach to investigate the temporal dynamics of dormancy establishment in Xanthium strumarium, a wild plant with two seeds in one burr that, despite sharing the same genetic and environmental conditions, exhibit distinct dormancy states. Results: Our data show that dormant seeds undergo coordinated metabolic suppression, marked by a decrease in energy metabolism, cell cycle arrest, and auxin signaling, explaining their smaller size. Simultaneously, dormant seeds exhibit metabolic re-prioritization towards fatty acid desaturation, cell wall modification, and an active epigenetic program stabilized by dormancy-promoting factors alongside a transcriptionally quiescent state in early–mid development. However, in the late developmental stage, molecular signaling pathways showed a recalibration distinguished by changes in seed metabolism (such as carbon–nitrogen reallocation, sulfur assimilation, and GABA production), hormonal fluctuations, and epigenetic regulation. Notably, previously reported high DOG1 transcript abundance, together with the absence of detectable DOG1 protein in the proteomic dataset, suggests that post-transcriptional mechanisms may contribute to DOG1 regulation. Conclusions: Based on these findings and the available literature, we propose a framework whereby dormancy establishment occurs in two phases: an early DOG1-mediated priming phase followed by a temperature-sensitive plasticity phase during seed maturation. Full article

International shipping decarbonization has expanded beyond technical and operational regulation to include contested market-based bargaining. The proposed International Maritime Organization (IMO) Net-Zero Framework (NZF) combines a marine fuel standard with an economic compliance mechanism. Drawing on IMO submissions, voting records, official statements, and domestic and sectoral materials, this two-level game analysis examines why support sufficient to approve the draft for circulation in April 2025 did not translate into timely adoption later that year. The evidence suggests that the initial agreement space was not durable enough to support adoption on the planned timetable. At Level I, bargaining involved three linked dimensions: rule-making authority, responsibility allocation, and transition pathway design. At Level II, domestic, regional, and sectoral constraints included regulatory credibility and investment signals for the European Union; sovereignty and cost concerns for the United States; trade exposure and disproportionate impacts for trade-exposed emerging economies; ambition and revenue-supported transition for small island developing States; and fuel availability, fleet competitiveness, and legal certainty for energy exporters and open registries. A coalition sufficient at one procedural stage may therefore not remain sufficient at the next. A more durable agreement space would likely require an IMO-centered regulatory core, targeted enabling support, an ambition floor with compliance flexibility, and sequenced implementation and review. Full article

The introduction of Joint Clinical Assessments (JCAs) under the European Union Health Technology Assessment Regulation (EU HTAR) represents a major structural reform aimed at reducing fragmentation and duplication in clinical evidence assessment across Member States. While JCAs are intended to support national health technology assessment (HTA) processes through a common EU-level clinical evaluation, their integration into established national HTA and reimbursement systems remains untested at this early stage of implementation. This paper reports findings from two surveys conducted in 2025 among local affiliate representatives with expertise in relevant HTA and market access activities across 25 European countries (comprising 24 EU Member States and Norway), capturing early national perspectives on key aspects of JCA implementation. The surveys explored anticipated impact on national reimbursement timelines, current opportunities for early HTA advice and PICO input, approaches to handling post-JCA data availability, and nationally prioritised policy and implementation issues. Results indicate mixed expectations regarding the potential impact of JCA on reimbursement timelines, with perceived risks of delay largely viewed as possibly transitional and mitigable through national process adaptation. Respondents emphasised the importance of transparency in PICO consolidation and clarity on the use of JCA reports in national appraisals. Overall, the findings suggest that JCA may represent a reconfiguration rather than a centralisation of evidence assessment, with national influence exercised earlier in the assessment lifecycle. These insights provide policy-relevant input to inform ongoing EU HTA implementation and future refinement of the JCA framework. Full article

The rapid growth of Türkiye’s savings finance sector under Law No. 7292 has created demand for objective, multidimensional performance evaluation tools. This study assesses the financial performance of six savings finance companies in Türkiye over 2022–2024 using a hybrid CRITIC-EDAS multi-criteria decision-making model. Criterion weights for eight financial indicators—spanning profitability, operational efficiency, growth, and financial structure—were derived objectively via CRITIC, while EDAS produced the rankings, which were applied to criterion-direction-normalized data because the dataset contains negative values. The operating expense-to-revenue ratio carried the greatest weight in 2022 and 2023; gross profit margin became dominant in 2024. Katılımevim led the rankings in 2022 (ASi = 1.000); Eminevim then took the lead in 2023 (ASi = 1.000) and held it in 2024 (ASi = 0.968), with Fuzulev second (ASi = 0.815). A normalization artifact affecting two revenue-denominator ratios for one company (İmece) in 2024 was corrected through winsorization. Validity was confirmed in two stages: Spearman correlations between EDAS and the TOPSIS, MABAC, and MARCOS rankings exceeded the 0.89 reliability threshold in all three years, and a nine-scenario sensitivity analysis supported the rankings’ robustness. These findings give regulators, investors, and managers a replicable framework for evaluating performance in this young, underexamined sector and point to operational efficiency and outlier management as priorities for oversight. Full article

Background: Impaired glucose tolerance (IGT) is the principal prediabetic stage preceding type 2 diabetes mellitus (T2D), yet islet-specific biomarkers capable of tracking progressive molecular changes from normal glucose tolerance (NGT) through IGT to T2D remain unestablished. We sought to identify a multi-gene biomarker panel with monotonically increasing expression and causal support across the full glycemic continuum. Methods: Two human islet transcriptomic datasets (GSE76895, GSE164416; n = 181: NGT 50, IGT 56, T2D 75) were integrated following ComBat batch correction. Candidate biomarkers were identified at the intersection of limma differential expression and weighted gene co-expression network analysis (WGCNA), then refined through a five-algorithm machine learning consensus (LASSO, random forest, XGBoost, SVM-RFE, elastic net). Progressive expression was assessed by the Jonckheere–Terpstra (J–T) trend test. Two-sample Mendelian randomization (MR) with eQTLGen cis-eQTL instruments, Steiger directionality testing, and Bayesian colocalization provided causal inference. A diagnostic model was internally validated via 1000-iteration bootstrap resampling. Cell-type specificity was verified using single-cell RNA sequencing (GSE200044; 127,919 cells). Results: A 12-gene biomarker panel (ALDOB, DKK3, PCOLCE2, KCNE4, INHBA, IRF8, ITGB2, LAPTM5, MYOF, RAMP3, RUNX2, S100A4) was identified, with all members passing Bonferroni-corrected J–T trend testing across the NGT–IGT–T2D axis (p ≤ 2.4 × 10⁻³). Notably, a direct IGT-versus-NGT transcriptome-wide comparison (11,948 genes) yielded no significant DEGs after FDR correction, indicating that prediabetic islet signals are subtle and detectable only through progressive trend analysis on preselected candidates. Nevertheless, the mean IGT-stage effect size of the 12 hub genes reached 41.9% of the T2D value, with KCNE4 achieving 94.0% (nominal p = 1.75 × 10⁻⁴), identifying it as the earliest-altered biomarker. Two-sample MR using whole-blood eQTLs suggested protective effects of genetically proxied MYOF (OR 0.999, FDR = 1.68 × 10⁻⁴) and RUNX2 (OR 0.998, FDR = 1.68 × 10⁻⁴) on T2D risk, with Steiger testing supporting an expression-to-disease direction (p < 10⁻³⁶). However, Bayesian colocalization indicated independent causal variants at both loci (PP.H3 > 0.76, PP.H4 < 0.001), substantially weakening the causal interpretation and suggesting that the MR associations may reflect linkage disequilibrium rather than shared causal biology. The panel achieved a bootstrap-corrected AUC of 0.833 (apparent 0.879) with PR-AUC of 0.951. Single-cell validation confirmed upregulation of 7 hub genes in β cells and revealed cell-type-specific patterns invisible in bulk data, including bidirectional INHBA regulation between β and α cells and progressive α-cell proportion expansion (28.97% → 46.41%). Pathway enrichment converged on three mechanistic axes: extracellular matrix remodeling, immune activation, and autoimmune-like responses, with direct enrichment of the type 1 diabetes pathway (hsa04940). Conclusions: This study establishes a 12-gene progressive islet biomarker panel spanning the NGT–IGT–T2D continuum, supported by machine learning robustness, genetic causal evidence, diagnostic modeling, and single-cell biological validation. KCNE4 emerges as a candidate early-warning biomarker for prediabetes, while MYOF and RUNX2 represent causally supported compensatory targets, collectively providing a multilayered foundation for T2D risk stratification and precision intervention. From a clinical perspective, the identification of progressive islet biomarkers at the prediabetic stage provides molecular support for early lifestyle intervention, reinforcing that timely detection and behavioral modification remain the most effective strategies to prevent T2D progression. Full article

DC-link voltage synchronization control (DVSC), or matching control, offers a simple grid-forming (GFM) solution for two-stage photovoltaic (PV) systems by linking the DC-link voltage to converter frequency. However, its low-frequency damping is sensitive to grid strength and power-transfer level. This paper investigates the damping and synchronization characteristics of DVSC-based grid-forming PV systems under varying operating conditions. A reduced-order small-signal model is developed to decompose the contributions of the DVSC loop, electrical network, and terminal-voltage regulation. The analysis reveals that the basic DVSC loop provides no inherent damping, while the interaction between voltage regulation, grid impedance, and transferred power may introduce negative damping or reduce the synchronizing margin. The operating-condition-dependent limitations of lead-phase correction and q-axis voltage feedforward are then identified. To supplement these methods, DC-link-voltage-feedback d- and q-axis voltage stabilizers are designed and integrated with DVSC reshaping in a composite stabilization scheme. Eigenvalue analysis and OPAL-RT real-time simulations demonstrate the complementary damping characteristics of the four stabilizing paths. Full article

Hydropower units operating in isolated grids are characterized by low rotational inertia and weak damping, making it difficult to balance rapid frequency regulation and overshoot suppression. To address this issue, this paper proposes a GA–SQP hybrid optimization control strategy for multiple operating conditions based on a high-fidelity nonlinear dynamic model. Deep feedforward neural networks are first employed to reconstruct the nonlinear torque and discharge characteristics of the hydro-turbine, providing smooth and continuously differentiable mappings for subsequent gradient-based optimization. An improved performance index combining the Integral of Time-Cubed Absolute Error (ITCAE) with a transient overshoot penalty is then formulated to suppress long-tail errors and prioritize smooth responses with reduced transient overshoot. A two-stage optimization framework is further developed, in which the Genetic Algorithm (GA) performs global exploration to identify a promising parameter region, followed by Sequential Quadratic Programming (SQP) for high-precision local refinement. Comparative simulations under low-, rated-, and high-head high-load conditions show that the proposed strategy achieves higher optimization accuracy with fewer iterative resources. Within the investigated operating range, the optimized controller maintains a very low overshoot level while preserving satisfactory response speed, effectively improving the balance between rapidity and stability in isolated-grid frequency regulation. Full article

Clarifying the immune response mechanisms of Tetranychus urticae against Isaria cateniannulata is critical for developing sustainable pest control strategies. In this study, we employed transcriptome sequencing to identify immune-related genes responsive to Isaria cateniannulata infection, followed by integrative analysis using qRT-PCR, bioinformatics analysis and RNA interference (RNAi) to systematically study the expression patterns and functions of key candidate genes. The results indicated that a total of 342 genes were significantly differentially expressed in Tetranychus urticae following Isaria cateniannulata infection, including 322 up-regulated genes and 20 down-regulated genes. These differentially expressed genes were mainly enriched in immune-related pathways, including lysosomes, autophagy, phagosomes, apoptosis and NOD-like receptor signaling. Isaria cateniannulata infection resulted in different expression levels of candidate genes across various developmental stages of Tetranychus urticae. Among these, TuAPOD and TuPLA2 were highly expressed across all developmental stages, and their encoded proteins—comprising α-helices, extended strands, and random coils—shared high sequence similarity with homologs from other arthropods. RNAi-mediated silencing of these two genes achieved over 75% efficiency at 36 h. Combining RNAi with Isaria cateniannulata treatment significantly increased mortality and suppressed oviposition, with the highest 72 h mortality rate observed in the TuPLA2 + H13 treatment group (98.33%). This study provides preliminary insight into the molecular mechanism underlying Tetranychus urticae’s response to Isaria cateniannulata infection, clarifies the key role of lipid metabolism-related genes in antifungal immunity, and further confirms that combining RNA interference with Isaria cateniannulata treatment exerts a significant synergistic effect. These findings offer new insights and a theoretical basis for developing environmentally friendly strategies for controlling Tetranychus urticae. Full article

The Taiwan loach (Paramisgurnus dabryanus ssp. Taiwan) is a popular cultured fish in southern China due to its rich nutritional content and rapid growth. Oxidative stress and homeostatic imbalance induced by low temperature are among the key factors restricting its large-scale aquaculture. Therefore, it is of great significance to investigate the oxidative stress damage and the adaptive mechanisms employed by this species in response to low temperature. In this study, the water temperature was lowered from 24 °C to 8 °C at a rate of 2 °C/h. Afterwards, the temperature was held at 8 °C for two durations: 12 h and 48 h. Antioxidant indices indicated that the Taiwan loach suffered from oxidative stress damage at the 12 h stage, but the antioxidant enzyme defense system was not fully activated. As the cold stress extended to 48 h, the activities of total superoxide dismutase (T-SOD), glutathione peroxidase (GSH-Px) and catalase (CAT) increased significantly (p < 0.01). Histological observations revealed that the livers exhibited cellular vacuolation, sinusoid congestion and karyolysis under cold stress. Transcriptomic data revealed that the Taiwan loach underwent adaptive alterations in response to low temperature through diverse pathways. We speculate that, at low temperature, the Taiwan loach may, on the one hand, regulate lipid metabolism to maintain cell membrane fluidity and meet energy demands, and, on the other hand, reprogram protein synthesis and processing to avert the overaccumulation of misfolded proteins. In addition, it also adopts a strategy of lysine and polyamine accumulation. This study provides a novel theoretical basis for breeding cold-tolerant varieties of Taiwan loach and optimizing overwintering aquaculture management. Full article