Search Results (314)

The proliferation of Internet of Things (IoT) devices has intensified the need for efficient real-time anomaly and intrusion detection, making the selection of an appropriate Complex Event Processing (CEP) engine a critical architectural decision for security-aware data pipelines. Python-based CEP frameworks offer compelling advantages through the seamless integration with data science and machine learning ecosystems; however, rigorous comparative evaluations of such frameworks under realistic IoT security workloads remain absent from the literature. This study presents the first systematic comparative evaluation of Faust and Streamz—two Python-native CEP engines representing fundamentally different architectural philosophies—specifically in the context of IoT network intrusion detection. Faust was selected for its actor-based stateful processing model with native Kafka integration and distributed table support, while Streamz was selected for its reactive, lightweight pipeline design targeting high-throughput stateless processing, making them representative of the two dominant paradigms in Python stream processing. Although both engines target different application niches, their performance characteristics under realistic CEP workloads have never been rigorously compared, leaving practitioners without empirical guidance. The primary evaluation employs an IoT network intrusion dataset comprising 583,485 events from 83 heterogeneous devices. To assess whether the observed performance characteristics are specific to this single dataset or generalize across different workload profiles, a secondary IoT-adjacent benchmark is included: the PaySim financial transaction dataset (6.4 million records), selected because its event schema, fraud-pattern temporal structure, and volume differ substantially from the intrusion dataset, providing a stress test for cross-workload robustness rather than a claim of domain equivalence. We acknowledge the reviewer’s valid point that a second IoT-specific intrusion dataset (such as TON_IoT or Bot-IoT) would constitute a more directly comparable validation; this is identified as a priority for future work. The load levels used in scalability experiments (up to 5000 events per second) intentionally exceed the dataset’s natural rate to stress-test each engine’s architectural ceiling and identify saturation thresholds relevant to large-scale or multi-sensor IoT deployments. We conducted controlled experiments with comprehensive statistical analysis. Our results demonstrate that Streamz achieves superior throughput at 4450 events per second with 89% efficiency and minimal resource consumption (40 MB memory, 12 ms median latency), while Faust provides robust intrusion pattern detection with 93–98% accuracy and stable, predictable resource utilization (1.4% CPU standard deviation). A multi-framework comparison including Apache Kafka Streams and offline scikit-learn baselines confirms that Faust achieves detection quality competitive with JVM-based alternatives (Faust: 96.2%; Kafka Streams: 96.8%; absolute difference of 0.6 percentage points, not statistically significant at $p=0.318$) while retaining the Python ecosystem advantages. Statistical analysis confirms significant performance differences across all metrics ($p<0.001$, Cohen’s $d>0.8$). Critical scalability thresholds are identified: Streamz maintains efficiency above 95% up to 3500 events per second, while Faust degrades beyond 2500 events per second. These findings provide IoT security engineers and system architects with actionable, empirically grounded guidance for CEP engine selection, establish reproducible benchmarking methodology applicable to future Python-based stream processing evaluations, and advance theoretical understanding of the accuracy–throughput trade-off in stateful versus stateless Python CEP architectures. Full article

Respiratory syncytial virus (RSV), a member of the genus Orthopneumovirus, is an etiological agent in infant lower respiratory tract infections (LRTIs) producing substantial global morbidity. Here, secretoglobin (Scgb1a1)-derived progenitors play a primary role in triggering innate, inflammatory, and cell state transitions in response to RSV LRTIs. Whether RSV activation of innate signaling in this epithelial sentinel population leads to chronic airway disease is unknown. To understand the role of innate signaling in Scgb1a1-derived progenitors, a model of RSV post-viral disease (PVLD) was developed and studied in the presence or absence of RelA conditional knockout (CKO). Single-cell RNA sequencing (scRNA-seq) studies showed that RSV-PVLD induced a transition of atypical, differentiation-intermediate, alveolar type 2 (aAT2) cells characterized by tumor protein 63 (TRP63), aquaporin 3 (AQP3), and Itgβ4 expression, as well as changes in PDGFRβ mesenchyme. A single-cell trajectory analysis and lineage-tracing experiments using Scgb1a1 CreER^TM X mTmG mice demonstrated that the Scgb1a1+ populations were precursors to the aAT2 population. Mechanistically, we found that the formation of the aAT2 population was prevented by RelA CKO. A differential gene expression analysis revealed that RSV-PVLD coordinately upregulates nuclear receptor subfamily 1 group D (Nr1d1/2), clock and basic helix-loop-helix ARNT-like 1 (Bmal) genes both in the aAT2 cell and in its Pdgfrα+ mesenchymal niche in a RelA-dependent manner. A systematic analysis of intercellular epithelial–mesenchymal communication in the scRNA-seq data showed that the clock-dysregulated epithelial–mesenchymal niche produces aberrant ANGPTL4 expression. ANGPTL4 upregulation was confirmed by the measurement of both its mRNA and protein. Moreover, ANGPTL4 is biologically active in the BALF of RSV-PVLD mice, inhibiting lipoprotein lipase activity. We conclude that RSV-PVLD is mediated, at least in part, by RelA signaling in Scgb1a1-derived epithelial progenitors, dysregulating ANGPTL4 signaling in an epithelial–mesenchymal niche, resulting in persistence of atypical alveolar epithelial cells with dysregulated of clock gene expression. Full article

Accurate tree species mapping is critical for forest inventory, biodiversity assessment, and ecosystem management. In mountainous regions, terrain-induced radiometric non-stationarity and limited field access often produce scarce, clustered, and environmentally biased samples, limiting model generalization. To address this issue, this study proposes a terrain-aware self-supervised representation learning framework for tree species classification under small-sample conditions. The framework integrates terrain information into representation learning and adopts a hybrid contrastive–generative self-supervised strategy to learn discriminative and terrain-robust features from large volumes of unlabeled multi-source remote sensing data. These learned representations are subsequently combined with limited field samples to produce regional-scale tree species maps. Experiments conducted across Yunnan Province, China, using Sentinel-1, Sentinel-2 and Landsat time-series data show that the proposed framework substantially improvesa class separability and classification robustness in complex mountainous environments. The framework achieves an overall accuracy of 75.8%, significantly outperforming conventional feature engineering (38.3–40.6%) and supervised deep learning models (37.3–47.8%). Species with relatively homogeneous structure and strong ecological niche dependence can be accurately mapped with limited training samples, whereas structurally complex forest communities require broader environmental sample coverage. Overall, the results highlight the potential of terrain-aware self-supervised representation learning as a scalable and data-efficient paradigm for forest mapping in mountainous and environmentally heterogeneous regions. Full article

Biogeography-based optimization (BBO) is a population-based metaheuristic algorithm inspired by species migration among habitats. However, the original BBO often suffers from premature convergence and insufficient population diversity when solving complex optimization problems. To address these limitations, this paper proposes a novel dynamic multi-niche biogeography-based optimization (DMBBO) algorithm. DMBBO incorporates three effective strategies: a dynamic multi-niche population structure to maintain diversity and enhance parallel search capability, a dual-source migration mechanism to improve information exchange efficiency, and a niche-level hybrid elite preservation strategy to stabilize convergence behavior and improve solution quality. Extensive experiments were conducted on the CEC2022, CEC2020, and CEC2019 benchmark test suites under different dimensional settings. The experimental results demonstrated that DMBBO consistently outperformed 23 state-of-the-art algorithms in terms of optimization accuracy, convergence speed, and robustness, with statistically significant improvements validated by Friedman ranking and Wilcoxon rank-sum tests. An ablation study and convergence behavior analysis further confirmed the effectiveness of the proposed strategies. Additionally, DMBBO was applied to robotic path planning problems in grid-based environments involving six different scenarios with varying map sizes and obstacle densities. The results showed that DMBBO is capable of generating shorter and more stable paths in both simple and complex environments, highlighting its strong applicability to constrained optimization problems. Full article

The development of effective remediation strategies for aniline-contaminated sites has become a significant research focus in environmental science. This study aimed to construct a highly efficient aniline-degrading synthetic microbial consortium guided by ecological niche information from contaminated soil. Microbial community analysis of aniline-contaminated soil from a typical industrial park revealed the significant enrichment and adaptability of Proteobacteria and its genus Pseudomonas in the polluted environment. Based on these ecological niche characteristics, a targeted screening strategy was employed to isolate two highly efficient degrading strains from heavily contaminated soil: Pseudomonas sp. RF and Acidovorax sp. PH. Both strains exhibited excellent aniline degradation performance in monoculture, with strain RF capable of completely degrading 1000 mg·L⁻¹ aniline within 24 h. Through orthogonal experiments to optimize the inoculation ratio, a synthetic consortium, RF-PH, composed of the two strains at a 3:1 ratio, was constructed. This consortium demonstrated significant synergistic effects, with degradation efficiency markedly surpassing that of the individual strains. Specifically, its degradation rate for 500 mg·L⁻¹ aniline within 12 h was 11.33–17.02% higher than that of the individual strains. This study confirms the effectiveness of a targeted screening and synthetic consortium construction strategy based on ecological niche information, providing efficient microbial resources and technical support for the bioremediation of aniline-contaminated sites. Full article

Tetrastigma hemsleyanum is a valuable medicinal plant whose dryland cultivation typically yields 30–35% lower flavonoid concentration than forest understory systems due to soil and microbial deficiencies. We investigated whether biochar amendment could bridge this quality gap through rhizosphere microecological regulation. Using a split-plot pot experiment with in situ soils from a bamboo forest and a vegetable field, we applied biochar at 2%. Biochar in bamboo forest (MBBC) achieved the highest flavonoid concentrations, exceeding unamended forest and vegetable controls by 22% and 35%, respectively. Biochar effects were habitat-specific. In acidic forest soils (pH 4.95), it raised the pH to 5.61, while in vegetable fields, it boosted leucine aminopeptidase by 159%. Partial least squares path modeling revealed biochar exerted its effects indirectly (indirect effect = 0.88), with soil extracellular enzymes mediating between soil conditions and plant biosynthetic enzymes (PAL, CHS, CHI). Fungal composition was positively associated with biosynthesis (β = 1.68, p < 0.01), particularly Mortierellomycetes, whereas bacterial diversity unexpectedly exhibited a significant negative correlation with it (β = −0.79, p < 0.05). Biochar disrupted Eurotiomycetes dominance in forest soils (from 85% to 39%), creating functionally diverse niches that were associated with enhanced flavonoid accumulation. These findings demonstrate biochar functions as an ecological niche regulator, providing a sustainable strategy for high-quality medicinal plant production in non-native habitats. Full article

Effective candidate generation is a critical component of two-stage recommender systems; however, traditional methods such as Term Frequency–Inverse Document Frequency (TF-IDF) often fail to capture deep semantic context. This limitation leads to suboptimal recall rates, particularly for new or niche items—a challenge commonly referred to as the cold start problem—thereby degrading overall recommendation quality and user experience. This study proposes a semantically aware approach to improve the initial recall phase of recommendation pipelines. The methodology integrates Large Language Models (LLMs) into a distributed Apache Spark pipeline for large-scale content enrichment, generating 768-dimensional vector embeddings and concise, context-aware summaries for each content item. These enriched representations are indexed in Elasticsearch to enable efficient vector-based retrieval during candidate generation. Quantitative evaluation on a corpus of 143,000 Wikipedia articles demonstrates that the LLM-enriched method achieves a Recall@10 of 62%, representing a 37% relative improvement over the TF-IDF baseline (45%). When relevance is measured using only embedding-independent signals (category overlap and keyword similarity), the method still achieves a Recall@10 of 58%, confirming that gains are not an artifact of the evaluation metric. The resulting candidate pools exhibit improved semantic diversity and broader category coverage, delivering richer input for downstream ranking models. Full article

B cell maturation antigen (BCMA)-targeted chimeric antigen receptor T cell (CAR-T) therapy has transformed the treatment landscape for relapsed or refractory multiple myeloma (MM), with products such as idecabtagene vicleucel and ciltacabtagene autoleucel achieving high initial response rates, and in selected patient populations, durable treatment-free remission. However, a substantial proportion of patients still experience relapse, including antigen-positive progression, highlighting persistent limitations in long-term disease control across diverse clinical settings. An increasing body of evidence indicates that resistance to CAR-T therapy in MM is driven not only by tumor-intrinsic factors, but also by extrinsic pressures imposed by the bone marrow microenvironment (BMME). This review integrates current understanding of tumor-niche interactions that impair CAR-T persistence, trafficking, and effector function, including immunosuppressive cellular networks, inhibitory cytokine signaling, metabolic constraints, stromal adhesion, antigen modulation, and marrow remodeling. This review further examines emerging therapeutic strategies and next-generation CAR-T platforms. Full article

Phosphorus deficiency is a key factor limiting plant growth in desertified grasslands. Elucidating the adaptive strategies of pioneer plants that integrate root morphology and microbial interactions is crucial for understanding the natural restoration of ecosystems. This study investigated the strategies employed by Kengyilia hirsuta, a pioneer grass species in desertified grasslands, to adapt to low-phosphorus environments. By conducting sand culture experiments under varying phosphorus levels (low, optimal, and high), we focused on elucidating the synergistic adaptive mechanisms involving the root–rhizosheath system. The results showed that the rhizosheath serves as a critical micro-ecological niche for enriching arbuscular mycorrhizal fungi (AMF) and enhancing phosphatase activity. Under low-phosphorus stress, the plant strengthened root hair development and its symbiotic association with AMF, which markedly increased acid phosphatase activity and led to the highest phosphorus use efficiency. At the optimal phosphorus level, the plant developed an efficient “rhizosheath–mycorrhiza” synergistic system, characterized by high AMF colonization and spore density, facilitating optimized carbon–phosphorus exchange. Under phosphorus-sufficient conditions, the adaptive strategy transitioned towards root morphological plasticity, exemplified by increased surface area and branching. Multivariate analysis revealed that the phosphorus absorption efficiency of K. hirsuta is co-regulated by both morphological adaptation and symbiotic optimization. This study elucidates the mechanisms of nutrient stress adaptation in desertified grassland plants, providing a theoretical foundation for understanding the natural restoration processes of degraded ecosystems. Full article

There have been numerous attempts to examine Indigenous cultures from a scientific and evolutionary perspective. In this work, however, there has been little acknowledgment of how the study of biological evolution is changing. I examine evidence of the way Indigenous cultures think about nonhumans and examine concepts of creation and creator figures in relation to Niche Construction, a 21st century evolutionary concept that examines how organisms shape both their own environments and those of other species by studying how Natural Selection can act upon how most organisms impact the survival and existence of other species. I focus this comparison on how many Indigenous Plains cultures of North America regard wolves as being creator figures within the context of the way they experience their environments. Ecological studies revealed that in 30 years since wolf reintroduction to Yellowstone, this species has reshaped the ecology of many other species in the park ecosystem. I argue that in the belief systems of Indigenous peoples, this restructuring is tantamount to an Act of Creation, and that Indigenous Americans recognized that wolves filled both this role, as well as a role in helping Indigenous cultures adjust to the environments of North America as they arrived on this continent over the last 20,000 years. I also consider the relationship from the wolves’ perspective. This concept of creation is rooted in ecology and evolutionary biology, and does not involve supernatural anthropomorphic beings the way Western stories of creation do. Full article

The mainstreaming of remote work has catalyzed the rise of the new tribe, the kinetic elite, a demographic comprising digital nomads and workationers who utilize technology to separate work from geography. Yet, this apparently free lifestyle often leads to a freedom trap, where the collapsing boundaries between work and leisure necessitate intense self-discipline within spaces originally architected for tourism. Drawing on an integrated framework of quality of destination features, service, and experience, this study investigates the antecedents of satisfaction and loyalty for this niche market of mobile workforce. Data were collected from 325 international digital nomads and workationers in Thailand using a purposive sampling approach. The proposed integrated model was empirically tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The analysis challenges the hardware-first paradigm of destination development. Findings indicate that while digital infrastructure (connectivity) and geoarbitrage (value) are non-negotiable baselines, they employ limited influence on ultimate satisfaction. Instead, human infrastructure, specifically the quality of staff and host–community interactions, emerges as the primary determinant in converting a location from a travel stop into a functional home base. These results advocate for a strategic plan toward precision niche marketing, moving beyond a homogenous view of the sector to target the community-seeking segment. Furthermore, the study frames community integration as a core practice of social sustainability, suggesting that for destinations to evolve into vibrant knowledge ecologies, Destination Management Organizations (DMOs) must prioritize community facilitation and smart policies that mitigate the social isolation inherent in nomadic life. Full article

Hamatocaulis vernicosus and Calliergonella cuspidata commonly co-occur in base-rich fens, reflecting overlapping ecological niches. While C. cuspidata is a widespread and ecologically plastic fen species often associated with eutrophicated wetlands, H. vernicosus is a habitat-specialist species of conservation concern. This study investigated the competitive interactions between these two moss species and the role of microhabitat conditions in their coexistence. A reciprocal transplant experiment was conducted in a natural, rich fen in southeastern Lithuania using replicated experimental plots across different microtopographic and hydrological conditions. Species cover and spread were monitored to assess competitive performance following transplantation. The results showed that under wet conditions, H. vernicosus was able to expand into surrounding areas and successfully compete with C. cuspidata. In contrast, C. cuspidata showed limited spread within H. vernicosus patches under wet conditions and was gradually displaced. An advantage of C. cuspidata was observed only in hummocky microtopographic settings. These findings indicate that stable hydrological conditions maintaining microhabitat heterogeneity promote the coexistence of both species. Alterations in the water regime may reduce the competitive ability and long-term persistence of H. vernicosus, highlighting the importance of hydrology-focused management for its conservation. Full article

Mediterranean agroforestry systems (AFSs), typified by the Iberian Dehesas and Portuguese Montados, are multifunctional landscapes where Quercus species act as ecological keystones sustaining biodiversity, soil fertility, and rural livelihoods. These systems are increasingly affected by complex oak decline syndromes driven by drought, soil degradation, and climate-induced pathogen outbreaks. Conventional chemical controls are often ineffective and environmentally detrimental, underscoring the need for ecologically sound management alternatives. This review synthesizes recent advances in the application of microbial biological control agents (MBCAs) to manage diseases in Mediterranean Quercus species, including Q. ilex, Q. suber, Q. faginea, and Q. pyrenaica. We conducted a structured literature review using predefined keyword searches in Web of Science and Scopus, followed by the screening of records to identify 22 relevant peer-reviewed studies on microbial disease control in Mediterranean Quercus species. We identified 20 peer-reviewed studies that reported that MBCAs—primarily from Bacillus, Serratia, Streptomyces, Trichoderma, Simplicillium and Alternaria—exert biocontrol effects through antibiosis, mycoparasitism, competition for ecological niches, and the induction of host defense responses. Although most experiments were conducted in vitro, some demonstrated significant disease suppression in seedlings infected by Phytophthora cinnamomi, Diplodia corticola, and Biscogniauxia mediterranea. Future research should integrate field-based validation and microbiome-oriented forest management approaches to enable the operational use of microbial-based disease control strategies in AFS landscapes. Full article

Pomegranate dieback is a disease whose etiology remains only partially understood. In this study, surveys were carried out in orchards located in the Apulia, Basilicata, and Veneto regions from 2016 to 2020 with the objective to identify pathogens involved in pomegranate dieback. Six fungal species were isolated from symptomatic trees and identified through morphological and molecular analyses. In addition to the known pomegranate pathogens Neofusicoccum parvum, Diaporthe eres and D. foeniculina, new fungal species, including Neopestalotiopsis rosae, Sporothrix stenoceras, and one belonging to the Xenoacremonium genus, were identified. This study represents the first report of their association with pomegranate plants exhibiting dieback symptoms. When artificially inoculated on pomegranate trees, these fungi caused wood browning, proving their pathogenicity. All fungal species exhibited optimal growth in the temperature range 25–30 °C, although D. eres and N. roseae showed a good adaptability in the range 5–10 °C. Since some of the identified pathogens were isolated from the same trees, cross-pairing assays were conducted, revealing that these fungi can coexist within the same ecological niche while maintaining their viability. Given the need for sustainable management options against these co-occurring pathogens, biological control strategies were evaluated. In vitro experiments demonstrated that both Bacillus and Trichoderma biological control agents (BCAs) inhibit the investigated pomegranate pathogens, highlighting their potential inclusion in integrated management strategies targeting these newly identified fungal pathogens. Full article

This study analyzes how the Hashemite Kingdom of Jordan has converted structural vulnerability into diplomatic capital through the strategic practice of niche diplomacy. Despite its limited material power, Jordan has emerged as a resilient middle power that leverages credibility, moderation, and institutional resilience to sustain its influence in a turbulent regional environment. Focusing on three interrelated domains—regional mediation, water diplomacy, and refugee governance—the article demonstrates how Amman transforms constraints into strategic assets. By institutionalizing trust-based mediation, reframing water scarcity as a platform for cooperative innovation, and integrating humanitarian commitments into foreign policy, Jordan exemplifies the fusion of moral authority with pragmatic statecraft. The analysis contributes to middle-power theory by illustrating how small states can redefine influence through specialization, normative entrepreneurship, and consistent engagement. Ultimately, Jordan’s experience shows that in a fragmented Middle East, stability and credibility constitute enduring sources of diplomatic power. Full article