Search Results (49,867)

The green transition in agriculture is a key issue for achieving sustainable development. Based on panel data from 30 Chinese provinces covering the period from 2011 to 2022, this paper examines the relationship between environmental enforcement and agricultural green total factor productivity (AGTFP), with a focus on analyzing the moderating effects of land transfer and agricultural insurance, as well as their synergistic threshold characteristics. The study employs two-way fixed-effects models, moderating effect models, and Hansen threshold regression methods for empirical analysis. The baseline regression results show a significant positive association between environmental enforcement and AGTFP. This conclusion remains robust after various tests, including truncation, replacement of core explanatory variables, difference GMM, and instrumental variables. The decomposition test shows that this positive correlation is mainly reflected through the channel of technological progress, rather than the improvement in technical efficiency. Heterogeneity analysis indicates that the positive association is more pronounced in regions with high GDP, strong law enforcement capacity, and in northern regions. Moderation analysis reveals that both the land transfer rate and insurance depth positively moderate the relationship between environmental enforcement and AGTFP, and the two exhibit a synergistic effect. However, this synergistic effect exhibits nonlinear characteristics and may weaken or even reverse at extreme value intervals. A threshold model further reveals an asymmetric complementary relationship between the two institutional conditions. The moderating effect of land transfer is activated only after insurance depth crosses a threshold value, while the moderating effect of insurance depth is most effective during the small-scale farming stage. These findings suggest that environmental regulation policies should be advanced in coordination with land transfer and agricultural insurance systems, with a focus on institutional alignment and coordination. Full article

Accurate detection of field insect pests remains a significant challenge for precision agriculture due to the elongated and variable morphology of the target organisms, their frequent resemblance to complex background textures, and the long-tail distribution of species in natural datasets. While deep convolutional neural networks (CNNs) have advanced the field, they are often constrained by a limited effective receptive field and the entanglement of semantic and spatial features, which can lead to elevated false-positive rates and missed detections for low-contrast or rare targets. This paper introduces a novel detection framework that integrates state space modeling with multi-stream feature disentanglement to address these limitations. First, a visual state space module is employed as the backbone feature extractor, enabling the establishment of a global receptive field with linear computational complexity and thereby improving the perception of long-range morphological structures. Second, a Topological Feature Disentanglement Pyramid Network is proposed. This architecture explicitly separates feature representations into semantic and spatial streams and recombines them through graph convolutional interactions, which serves to suppress background interference and enhance localization precision. A meta-auxiliary detection head, active only during training, is introduced to amplify supervision signals for hard, low-contrast samples via adversarial gradient modulation. Furthermore, an implicit neural radiance field augmentation pipeline is used to generate physically consistent synthetic views of underrepresented pest classes, mitigating the negative effects of long-tail data distributions. Experimental evaluations on the public BAU-Insectv2 benchmark demonstrate that the proposed method achieves a mean average precision (mAP@0.5) of 81.8%, representing a 4.4-percentage-point improvement over a comparable baseline, while maintaining a compact parameter count of 2.33 M and an inference speed of 178.6 FPS. The framework exhibits particular efficacy in detecting elongated, minute, and rare pests, suggesting a promising technical approach for real-time, field-based pest surveillance in precision agriculture. Full article

In this paper, we examine aspects of general variational inequalities (GVIs) that are similar to fixed-point problems. Special cases of the proposed unique iterative methods are introduced, including the implicit, explicit, and extra-gradient methods of the proximal point approach. The convergence of the derived expression is analyzed under appropriate assumptions to demonstrate the effectiveness of the proposed method. Numerical results are also presented to evaluate the algorithms’ performance in practice. In these experiments, matrix-scaling tests were conducted, and parameter sensitivity analyses were performed; the convergence speed, computational efficiency, robustness, and stability of the experiments were evaluated. From the results, the Algorithm 3 seems to give very good results, and convergence is achieved after fewer iterations than other algorithms. Additionally, we examine the non-convergent behavior of other algorithms under varying parameters. Overall, our study validates the theoretical findings and highlights the effectiveness of advanced proximal methods for large-scale GVI problems, while also suggesting directions for future research in this area. Full article

Background/Objectives: Head and neck cancer (HNC) is associated with unique risks of catastrophic health events throughout the care continuum. This scoping review evaluated distinct domains of catastrophic health events in HNC and the associated risk factors to inform the development of risk prediction models. Methods: Five electronic databases were searched to identify peer-reviewed journal articles published from 2015 to 2025. Eligible studies were primary observational studies involving adults (≥18) with HNC that reported a catastrophic (or similar term) health event and assessed the associated risk factors using multivariable regression modelling. Results: Fifty-six studies involving 941,329 patients with HNC were included. Half (n = 28, 50.0%) of these studies were conducted in North America, followed by Asia and Europe (n = 13 each, 23.2%). Four domains of catastrophic health events were identified: sudden or premature deaths (n = 22, 39.3%), severe treatment-related complications (n = 19, 33.9%), unplanned acute care encounters (n = 22, 39.3%), and severe patient-reported symptoms (n = 6, 10.7%). Across all domains, comorbidity was the most repeatedly identified risk factor, followed by treatment characteristics (e.g., surgery duration), older age, and advanced cancer stage. Conclusions: Risk prediction models in HNC should always include variables of comorbidity. The varied measurability of risk factors requires strategic efforts when developing prediction algorithms for different domains of catastrophic health events. Full article

Background: Amyloidosis is an infiltrative cardiomyopathy caused by amyloid deposition into the myocardium. In recent years, recognition of this treatable cause of heart failure has increased. There are striking sex differences in the diagnosis, clinical course and outcome of the disease. Notably, women have a worse prognosis than men with similar amounts of cardiac involvement. Methods: This review provides an overview of the current state of knowledge regarding the epidemiology, clinical features, diagnosis and treatment of amyloid heart disease. The differences observed between men and women are discussed, and recent advances in the field are highlighted. Results: Compared to men, women are generally older at diagnosis, appear to have less severe cardiac disease at the time of impairment and are more frequently diagnosed late. The less apparent disease manifestations in women may be responsible for the delay in diagnosis. Moreover, women may be underdiagnosed when sex-neutral diagnostic criteria are used. Conclusions: Addressing diagnostic disparities may require the use of sex-specific diagnostic thresholds, as well as a more expansive use of multimodality imaging. Future clinical trials should aim to enroll a greater number of female participants to inform optimal therapeutic approaches and to define the sex-specific disease phenotype for this increasingly treatable disease. Full article

Background/Objectives: Gallic acid (GA) is a naturally occurring polyphenol with reported antioxidant and anticancer properties. This study investigated whether GA enhances carboplatin (CARB)-associated anticancer activity in HeLa cervical cancer cells through mechanisms related to oxidative stress, mitochondrial dysfunction, apoptosis, and cell cycle dysregulation, while comparatively evaluating cytotoxicity in HaCaT cells. Methods: The effects of GA and CARB, individually and in combination, were evaluated using cell viability assays, apoptosis and cell cycle analyses, intracellular reactive oxygen species (ROS) measurements, N-acetylcysteine (NAC)-mediated rescue experiments, mitochondrial membrane potential assessment, reverse transcription–quantitative polymerase chain reaction (RT-qPCR), immunocytochemistry, and three-dimensional (3D) tumor spheroid models. Bioinformatic analyses were performed to explore pathways associated with the observed molecular responses. Results: The GA + CARB combination demonstrated enhanced cytotoxicity and apoptotic activity in HeLa cells compared with either monotherapy, while exhibiting comparatively lower toxicity in HaCaT cells. Combination treatment increased intracellular ROS levels, whereas NAC pretreatment partially reversed ROS accumulation and cytotoxicity, supporting a contributory role of oxidative stress in treatment-associated responses. The combination also induced mitochondrial membrane depolarization, increased G2/M arrest and SubG1 accumulation, and modulated apoptosis- and cell cycle-related gene expression. In 3D spheroid models, GA + CARB reduced spheroid growth and viability and disrupted spheroid integrity more effectively than single-agent treatments. Bioinformatic analyses identified interconnected pathways associated with oxidative stress, apoptosis, and cell cycle regulation. Conclusions: GA may enhance CARB-associated anticancer activity through mechanisms linked to oxidative stress, mitochondrial dysfunction, apoptosis, and cell cycle dysregulation. The incorporation of ROS/NAC rescue experiments and 3D spheroid validation further supports the biological relevance of the observed effects. Nevertheless, these findings remain preliminary and require confirmation in advanced in vivo and translational cervical cancer models. Full article

Background/Objectives: Despite widespread antiretroviral therapy (ART) use, whether the expected transition from AIDS-defining to non-AIDS-defining cancers has occurred in settings with persistent late HIV presentation remains unclear. We examined long-term cancer patterns, determinants, and survival outcomes in a large HIV cohort. Methods: This retrospective, single-center cohort included 1419 people living with HIV followed between 2006 and 2024. Patients who developed malignancy were classified as AIDS-defining cancers (ADC) or non-AIDS-defining cancers (NADC). Immuno-virological parameters were assessed at HIV and cancer diagnosis. Survival was analyzed using Kaplan–Meier methods, and predictors of mortality were evaluated using Cox proportional hazards regression. Determinants of ADC development were assessed using multivariable logistic regression. Temporal changes were evaluated by trend analysis. Results: Sixty-six patients (4.6%) developed malignancy (31 ADC, 35 NADC). Late HIV presentation was common, with 72.7% having CD4+ T-lymphocyte counts < 350 cells/mm³ at cancer diagnosis, particularly among ADC cases. Most ADCs (93.5%) occurred within 24 months of HIV diagnosis. Overall survival did not differ between ADC and NADC groups (log-rank p = 0.14). Although mortality declined after 2015, temporal changes in ADC and NADC proportions did not reach statistical significance (p = 0.14). In Cox regression analysis, viral suppression before death or last follow-up was independently associated with lower mortality risk (HR 0.12; 95% CI 0.05–0.31). Lower CD4+ T-lymphocyte counts were associated with ADC development, and a CD4+ T-lymphocyte threshold of 295 cells/mm³ showed good discriminative performance (AUC = 0.83), although this cutoff should be interpreted cautiously due to the lack of external validation. Conclusions: In this long-term cohort from Türkiye, a clear epidemiological transition from ADC to NADC could not be demonstrated. The cancer spectrum remained strongly influenced by late HIV presentation and advanced immunodeficiency. Sustained viral suppression was independently associated with lower mortality risk, supporting the importance of early HIV diagnosis, timely ART initiation, and sustained virological control. Full article

Background: Neuropathic pain remains difficult to treat because current analgesics often provide insufficient efficacy or dose-limiting adverse effects. Nav1.7 is genetically validated as a key regulator of human pain sensation, but the development of selective small-molecule Nav1.7 inhibitors has been limited by the high similarity among voltage-gated sodium channel subtypes. Methods: We generated monoclonal antibodies selectively targeting Nav1.7, humanized them for therapeutic development, and evaluated their binding, selectivity, functional channel inhibition, systemic analgesic efficacy, and effects on neuronal activity in a rat model of partial sciatic nerve ligation-induced neuropathic pain. Results: The humanized antibodies showed high-affinity and selective binding to Nav1.7 and functionally inhibited the channel in cellular assays. After systemic administration to neuropathic pain model rats, the lead antibody produced robust analgesia lasting at least 96 h. Electrophysiological analyses demonstrated reduced mechanically evoked and spontaneous neuronal activity, and immunohistochemistry showed decreased mechanical stimulus-induced phosphorylation of extracellular signal-regulated kinase in dorsal root ganglion neurons. The antibodies did not impair physiological nociception or motor function under the tested conditions. Conclusions: These findings provide preclinical proof of concept that humanized anti-Nav1.7 antibodies can act as systemically administered, long-acting biologic analgesics for neuropathic pain while preserving normal nociceptive and motor functions. The clinical advancement of S-151128 further supports the translational potential of this modality. Full article

As core structural components for deep-sea oil and gas exploitation, deep-sea risers are continuously subjected to wind, wave, and current loads, which readily induce vortex-induced vibration (VIV) and further trigger structural fatigue damage. Furthermore, the progressive exploitation of deepwater and ultra-deepwater oil and gas resources has exacerbated the complexity and risk of riser VIV, rendering it a critical engineering problem that urgently requires effective solutions. This paper presents a comprehensive review of numerical studies on deep-sea riser VIV, systematically elaborating the fundamental principles, research advances, and application scenarios of three mainstream numerical approaches: semi-empirical models, computational fluid dynamics (CFD) models, and computational structural dynamics (CSD) models. The respective accuracy advantages and inherent limitations of each numerical method are thoroughly analyzed. Additionally, this review focuses on key research hotspots and challenging issues, including VIV responses of flexible risers, dynamic fluid–structure boundary coupling, internal–external flow coupling effects, wake interference of multi-riser systems, efficient VIV prediction, and vibration suppression optimization. The current technical bottlenecks in existing research are clarified. This study aims to provide a systematic theoretical framework and methodological reference for subsequent numerical investigations and engineering applications of riser VIV, and offer technical support for the optimal structural design and safety risk prevention of deep-sea riser systems. Full article

Additive manufacturing has emerged as a transformative technology for fabricating complex drug-eluting medical devices, offering unprecedented design freedom and functional integration capabilities. This comprehensive review systematically analyzes 3D printing technologies applied to pharmaceutical device manufacturing, focusing on drug-eluting vascular stents as a representative application. This review covers six primary additive manufacturing techniques, ranging from high-resolution vat photopolymerization (25 μm resolution) to direct energy deposition, with a focus on their capabilities for produce pharmaceutical devices with controlled drug release properties. Novel 4D/5D/6D printing technologies introduce stimuli-responsive behaviors enabling programmable drug release profiles and adaptive device functionality. Manufacturing process optimization reveals superior design flexibility compared to conventional methods, with 85–95% reduction in design iteration time and elimination of tooling costs for complex geometries. The material landscape encompasses traditional metals (316L stainless steel, cobalt–chromium), biodegradable polymers (polylactic acid, PLA; polycaprolactone, PCL; poly(lactic-co-glycolic acid), PLGA), shape-memory materials (i.e., polymers and alloys capable of recovering a pre-programmed shape upon exposure to a specific stimulus such as body temperature, moisture, or light), and advanced nanocomposites, each offering distinct drug-loading capacities (100–500 μg/cm²) and release kinetics. Critical challenges include standardization requirements (International Organization for Standardization (ISO) 5840 and American Society for Testing and Materials (ASTM) F2606), pharmaceutical-grade manufacturing protocols, and regulatory pathways for novel drug-device combinations. This review identifies key research priorities including development of biocompatible printing materials, accelerated drug release testing protocols, and scalable manufacturing processes suitable for medical device production. This analysis demonstrates that 3D printing enables integration of multiple pharmaceutical functions within single devices, controlled spatiotemporal drug delivery, and elimination of secondary manufacturing steps for drug coating processes, advancing the development of next-generation therapeutic medical devices. Full article

Background: Pressure injuries (PIs) are common in patients with limited mobility and may require flap reconstruction for definitive management. However, postoperative complications and PI recurrence frequently occur. Certain flap types may be more prone to poor outcomes. This study evaluated outcomes after flap reconstruction for PIs in a medically complex population. Methods: We performed a retrospective review of patients who underwent flap reconstruction for sacral, ischial, trochanteric, or lateral malleolar PIs by a single surgeon at a tertiary care center between 2015 and 2023. Patient demographics, comorbidities, neurologic status, wound characteristics, flap type, and postoperative outcomes were collected. Outcomes were analyzed at the flap level. Results: Sixty-eight patients underwent 101 flap reconstructions. Most patients were male (68%), and spinal cord injury was present in 71%. Medical comorbidity burden was high, including anemia (61%), malnutrition (42%), preoperative osteomyelitis (44%), stool exposure near the wound (49%), and near-universal urinary incontinence. Postoperative complications were common across flap types, most commonly wound dehiscence and PI recurrence. New PIs developed at non-operative sites in about 14% of reconstructions during recovery. During the eight-year follow-up period, 19 (28%) patients expired and 21% of reconstructions were complicated by recurrence at the operative site. Conclusions: Flap reconstruction remains an important treatment for advanced PIs but is associated with high complication and recurrence rates in patients with substantial comorbidities and limited mobility. These findings support careful patient selection, preoperative optimization, and multidisciplinary postoperative care focused on preventing new PIs. Full article

During the stage of high-quality economic development, the synergy between advancing county industrial structure and employment growth has become a key issue in county governance. Although existing studies confirm that industrial structure has both creation and substitution effects on employment, few have adopted a configurational perspective to reveal how combinations of multiple factors can jointly promote both advanced county industrial structure and employment growth, thereby achieving industry-employment synergy. From the perspective of inclusive growth, this study incorporates six factors-economic level, financial level, innovation level, human capital, fiscal expenditure, and agricultural resources-into a unified analytical framework under the dimensions of efficiency and equity. Using a mixed method that combines dynamic QCA and regression analysis, and taking 1128 Chinese counties as the sample, this study explores configurational pathways that can simultaneously achieve advanced county industrial structure and inclusive employment growth. The findings are as follows: (1) Four configurational pathways lead to advanced county industrial structure: market-driven with efficiency priority (C1), endowment-substituted with factor concentration (C2), endowment-dependent with efficiency-equity coordination (C3), and talent–innovation dual-driven with government assistance (C4). (2) These four pathways differ in their effectiveness in promoting industry–employment synergy. Configurations C1, C2, and C3 achieve coordinated development of county industry and employment, whereas configuration C4 promotes advanced county industrial structure but inhibits employment growth. The conclusions reveal multiple equivalent pathways for synergistically enhancing county industry and employment, providing a basis for local governments to formulate context-specific industry–employment coordination policies. Full article

Background/Objectives: Cervical cancer is mainly driven by persistent infection with high-risk human papillomaviruses (HPV), particularly HPV16 and HPV18. Despite advances in cytology, HPV-DNA testing and vaccination, challenges remain in the triage of HPV-positive individuals, prognostic stratification and prediction of treatment response. Non-coding RNAs (ncRNAs), including microRNAs, long non-coding RNAs and circular RNAs, together with host genetic factors influencing ncRNA expression and emerging lncRNA-encoded peptides, are increasingly recognized as regulators of HPV-associated carcinogenesis. This review summarizes their biological and potential clinical relevance. Methods: A structured literature search was conducted in PubMed and Scopus. Eligible studies included experimental, clinical, observational, genomic and translational investigations on ncRNA dysregulation, circulating or exosomal ncRNAs, treatment-response signatures, host genetic variation and lncRNA-encoded peptides in HPV-associated cervical precancer and cancer. Results: HPV oncoproteins can reshape host ncRNA networks through transcriptional and epigenetic mechanisms. Several miRNAs, lncRNAs and circRNAs are involved in cell-cycle control, apoptosis, senescence, epithelial–mesenchymal transition, immune regulation, DNA repair and treatment resistance. Circulating, exosomal and urinary ncRNA signatures have shown diagnostic or prognostic potential in exploratory cohorts. Specific lncRNAs, including ENSG00000267838/lnc-LENG9-5 and lncRNA-EME1, have been associated with chemoradiotherapy response and radioresistance. The lncRNA-encoded peptide TUBORF represents a novel preclinical therapeutic candidate, while genetic variation may further modulate lncRNA function in HPV-related cervical cancer. Conclusions: ncRNAs are promising candidates for risk stratification, non-invasive diagnosis, treatment-response prediction and therapeutic development in HPV-associated cervical disease. However, evidence remains exploratory, requiring prospective multicentre validation and standardized workflows before clinical implementation. Full article

Background/Objectives: The Al Haouz earthquake that struck Morocco on 8 September 2023, resulted in substantial material, human, and psychological impacts. Children are at increased risk of psychological disorders, notably post-traumatic stress disorder (PTSD). This study aims to assess probable PTSD and its associated factors among children exposed to the Al Haouz earthquake. Methods: This cross-sectional study, conducted between December 2024 and January 2025, included 536 children from the affected areas. Probable PTSD was assessed using the 20 item Child and Adolescent Trauma Screen (CATS). Sociodemographic and exposure-related data, including post-earthquake conditions, were collected using a structured questionnaire. Data analysis was performed using SPSS software, version 25. Results: Analysis revealed that 47.6% of the children presented with probable PTSD. Multivariable analysis identified several factors independently associated with probable PTSD among children exposed to the earthquake, including age between 11 and 15 years (AOR = 2.02; p < 0.001), female gender (AOR = 1.82; p = 0.001), advanced level of education (AOR = 1.87; p = 0.006), housing damage (AOR = 2.08; p = 0.015), physical injury (AOR = 1.86; p = 0.012), proximity to the epicenter (AOR = 2.22; p = 0.006), temporary shelter in tents (AOR = 1.75; p = 0.02), difficulty of evacuation (OR = 1.97; p = 0.01), and loss of a family member (AOR = 1.98; p = 0.013). Conclusions: This study revealed a high frequency of probable PTSD in children exposed to the Al Haouz earthquake and identifies several associated factors, highlighting the need to targeted, multidimensional interventions. Full article

The invasive tomato leafminer, Tuta absoluta, poses a severe global threat to solanaceous crops, necessitating sustainable biocontrol solutions. Through systematic bioprospecting across several Moroccan soils, we constructed a novel library of indigenous fungal isolates using complementary Tenebrio molitor baiting and selective media methods. High-throughput phenotyping identified 49 highly pathogenic isolates, which were characterized for conidial production, thermotolerance, and virulence against T. absoluta. We discovered two lead isolates, Beauveria bassiana UCA-350 and Metarhizium robertsii UCA-329, that demonstrated superior virulence, reducing median survival time and achieving lower LC₅₀ values than most commercial reference strains. Notably, virulence was positively correlated with in vitro conidial yield, revealing a key trait linkage for strain selection. Furthermore, genus-level divergence in thermotolerance was observed, with Beauveria isolates exhibiting significantly higher heat resilience. Our integrated multi-trait screening pipeline not only delivers two potent, regionally sourced biocontrol candidates but also establishes a phenotypic selection framework that prioritizes both efficacy and production scalability, advancing the rational development of next-generation mycoinsecticides. Full article