Search Results (705)

Digital transformation has fundamentally reshaped hospitality distribution ecosystems, altering how hotels connect with customers, manage commercial relationships, and access market demand. While early digitalization narratives anticipated a process of disintermediation, the growing influence of platform-based intermediaries suggests a different trajectory. This study examines how digital transformation has reconfigured hotel distribution ecosystems through a comparative temporal analysis combining reservation-channel data for the 2023 operating period collected from a survey of Madrid hotels, with European benchmark studies spanning 2011–2023. Distribution channels were classified as traditional channels, direct digital channels, and digitally intermediated integrated channels (DIICs) according to their degree of technological integration and intermediary control. The harmonized evidence indicates a decline in the harmonized traditional channel, moderate growth in direct digital channels, and higher DIIC reservation shares across the harmonized benchmark evidence. Early European benchmark studies generally reported DIIC shares of approximately 22–24%, whereas the participating Madrid hotels recorded an average share of 49.3%. Overall, the harmonized evidence is consistent with a long-term shift towards digitally intermediated integrated channels, suggesting that digital transformation has reinforced digital reintermediation rather than effective disintermediation. The study contributes to the literature by providing comparative evidence of long-term changes in hotel distribution structures and by introducing the DIIC framework as an analytical lens for examining digitally mediated intermediation. More broadly, the findings support perspectives that conceptualize tourism digital transformation as a process of platformization and ecosystem reconfiguration rather than simply the adoption of new technologies. Full article

Cross-domain distribution shifts severely degrade the diagnostic performance of rolling bearing models under unseen variable operating scenarios. Single-source domain generalization (SDG) builds fault diagnosis models using only single-source vibration data, which fits the practical limitations of industrial data collection. Existing contrastive learning methods adopt uniform spectral perturbations for data augmentation, which easily corrupt fault harmonic characteristics and require massive, labeled training samples. To tackle these drawbacks, this paper proposes an unsupervised contrastive learning framework named FDACL. An adaptive frequency-domain augmentation (AFA) module equipped with learnable weights is designed to separate fault-critical frequency bands from noise components. Differentiated amplitude perturbations are applied to two categories of spectral signals to generate diverse pseudo-samples while retaining intrinsic fault information. A shared encoder is trained with combined InfoNCE contrast loss and classification loss to learn domain-invariant fault representations. Validations are carried out on three datasets, namely Case Western Reserve University (CWRU), Paderborn University (PU), and the industrial CRRC Qingdao Sifang railway wheelset bearing dataset acquired from physical test benches. FDACL achieves average cross-speed diagnostic accuracies of 92.68% and 77.85% on CWRU and PU, respectively, and maintains competitive performance on the Qingdao Sifang industrial dataset. It outperforms state-of-the-art baselines by 4.23–8.71% across all SDG transfer tasks. Ablation experiments and hyperparameter analysis verify the efficacy of the AFA module and contrastive learning scheme, providing an unsupervised diagnostic approach for railway bearings under unknown working conditions. Full article

Xinjiang’s distinctive geography and climate provide important habitats for Falconidae species, yet their climate-driven habitat shifts and conservation gaps remain poorly understood. Using 2731 validated occurrence records and 26 environmental predictors, including bioclimatic, land-use, topographic, hydrological, anthropogenic, and Normalized Difference Vegetation Index (NDVI) predictors, we applied an optimized Maximum Entropy (MaxEnt) framework to project suitable habitats for seven falconid species under current conditions and three Shared Socioeconomic Pathway scenarios (1–2.6, 2–4.5, and 5–8.5) for 2041–2060, 2061–2080 and 2081–2100. Barycenter migration analysis, the Habitat Quality module of the Integrated Valuation of Ecosystem Services and Tradeoffs framework, and protected-area overlays were further integrated to identify conservation priorities. All models showed high discriminatory performance, with mean areas under the receiver operating characteristic curve exceeding 0.90. Current suitable habitats were mainly concentrated along river corridors and mountain foothills in the southern Altai, central-western Tianshan and northern Kunlun regions. Future responses were strongly species-specific. By 2081–2100 under Shared Socioeconomic Pathway 5–8.5, suitable habitat increased by 154.6% for Falco peregrinus and 79.5% for Falco tinnunculus but declined by 81.1% for Falco vespertinus; Falco subbuteo also showed overall expansion, with its suitable-habitat barycenter shifting by up to 291.9 km. Mean relative habitat quality was 0.514 [standard deviation = 0.185], while suitable habitat outside protected areas ranged from 35,346 to 304,866 km² among species, and high-quality priority conservation gaps reached 102,489 km² for Falco cherrug. These results demonstrate that climatic suitability does not necessarily correspond to high habitat quality or adequate protection and support species-specific, climate-adaptive conservation strategies for falconids in Xinjiang. Full article

The evolution from 4G Long-Term Evolution (LTE) to 5G New Radio (NR) has increased cell density in cellular deployments, thereby increasing inter-cell interference (ICI), which is most significant in cell-edge scenarios. The Minimum Mean Square Error–Interference Rejection Combining (MMSE-IRC) receiver was widely adopted in LTE systems around Release 11 as a practical implementation for advanced interference rejection. Although not standardized in 3GPP specifications, it was commonly used in 3GPP studies and has been effectively used in 5G-NR environments. In this paper, we propose new versions of the Alternating Projections Hard Successive Interference Cancellation (AP-HSIC) equalizer algorithm that combine the Minimum Mean Square Error (MMSE) and MMSE-IRC equalizers (denoted MMSE-AP-HSIC and MMSE-IRC-AP-HSIC, respectively). The effectiveness of the new approach is demonstrated by Block Error Rate (BLER) analysis for Quadrature Phase Shift Keying (QPSK), 16-QAM, and 64-QAM modulations. Physical Uplink Shared Channel (PUSCH) 5G-NR receiver simulations demonstrate the differences between the proposed algorithms and the classical AP-HSIC, MMSE, and MMSE-IRC equalizer algorithms. Simulation results show that the proposed scheme, MMSE-IRC-AP-HSIC, outperforms the conventional MMSE-IRC scheme in cell-edge scenarios. Full article

Drosophila melanogaster shares approximately 75% of human disease-related genes and possesses sophisticated genetic toolkits, including GAL4/UAS, CRISPR-Cas9, and RNA interference (RNAi), making it a rapid, cost-effective, and genetically tractable in vivo platform for natural products (NPs) discovery. This review systematically summarizes the modeling strategies, pathological mechanisms, and therapeutic applications of Drosophila models for six major human diseases, including type 2 diabetes, nephrolithiasis, inflammatory bowel disease, cancer, Alzheimer’s disease, and Parkinson’s disease. Cross-disease analysis identifies five evolutionarily conserved signaling networks—IIS/PI3K/Akt/FOXO, JNK/JAK/STAT, Nrf2/Keap1, mTOR/TORC1, and IMD/Toll—as common molecular targets of bioactive NPs, providing a unified mechanistic framework for understanding their multi-target pharmacological activities and broad therapeutic potential. Critically, we propose a generalizable integrated stepwise pipeline: high-throughput fly screening of crude extracts, bioassay-guided isolation of active monomers, genetic mechanistic dissection via RNAi and mutant rescue, and layered validation in human cells and selective mammalian models. This pipeline addresses key challenges in NPs research, including the identification of bioactive constituents and mechanistic validation, while improving screening efficiency and translational potential. Overall, this review establishes a multi-disease-applicable framework linking disease modeling, conserved signaling mechanisms, and translational pharmacology, providing practical guidance for future mechanism-driven NP discovery and preclinical development using Drosophila. By leveraging Drosophila genetics to bridge evolutionary conservation and human pathology, this framework offers a powerful, paradigm-shifting strategy to accelerate mechanism-driven NP discovery and preclinical development. Full article

Background/Objectives: Wastewater-based antimicrobial resistance (AMR) surveillance typically relies on treatment plant influent as a single integrated matrix, obscuring source-specific signals. In arid settings where treated effluent is reused, understanding how resistomes and virulomes are structured across wastewater compartments is essential for One Health monitoring. Methods: Shotgun metagenomic sequencing was applied to 57 wastewater samples collected in Dubai, United Arab Emirates, between October 2024 and January 2025. Samples represented nine community sewer nodes, two tertiary-care hospital outflows, and influent and effluent from two wastewater treatment plants (WWTP). Datasets were used for taxonomic, resistome, and virulome profiling. Alpha diversity was compared using Wilcoxon rank-sum tests, beta-diversity differences were assessed using permutational multivariate analysis of variance, and source-associated AMR genes were identified using linear discriminant analysis effect size analysis. Results: A total of 1470 bacterial species, 822 antimicrobial resistance genes (ARGs), and 1554 virulence factor genes were identified. Bacterial diversity was significantly lower in WWTP effluent than in other compartments. Hospital wastewater was enriched for class D β-lactamases, including multiple bla_OXA variants, whereas community wastewater and WWTP influent shared dominant macrolide and aminoglycoside resistance genes including msr(E), mph(E), strB and aadA1. Despite marked reductions in bacterial diversity after treatment, no significant difference in ARG diversity was observed between WWTP influent and WWTP effluent (p = 0.558), with resistance genes such as bla_VEB, msr(E), mph(E) detected in the latter. Virulome profiles shifted from fimbrial gene dominance in untreated sources toward biofilm- and persistence-associated genes in WWTP effluent. ARG alpha diversity varied over time, whereas taxonomic and virulome diversity remained stable. Conclusions: Community and influent wastewater capture population-level AMR carriage, hospital outflows concentrate clinically relevant resistance determinants, and WWTP effluent retains resistance markers despite microbial biomass reduction. Compartment-resolved metagenomic surveillance provides a practical One Health framework for identifying high-value monitoring points. Full article

Climate change drives shifts in forest vegetation zones, and the major tree species of warm–temperate evergreen broad-leaved forests in South Korea are also expected to undergo changes in their potential distributions under future climate conditions. This study applied a Committee Averaging (CA) ensemble species distribution model to Quercus acuta, Machilus thunbergii, Quercus glauca, and Castanopsis sieboldii to project changes in their potential distributions under four Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) across two future periods (2050s and 2090s). To compare interspecific differences in response more clearly, we applied a two-tier threshold scheme that distinguished potential habitat (agreement ≥0.6) from highly suitable habitat (>0.8), and we concurrently conducted a Multivariate Environmental Similarity Surface (MESS) analysis to assess predictive uncertainty arising from extrapolation into future climates. The CA ensemble models showed excellent predictive performance (AUC 0.947–0.989; TSS 0.837–0.943). For Q. acuta, M. thunbergii, and Q. glauca, potential habitat expanded consistently across all SSP scenarios, and highly suitable habitat shifted northward into parts of the central and Gangwon regions. In contrast, both the potential habitat and the highly suitable habitat of C. sieboldii contracted under most future scenarios. These results demonstrate that even species belonging to the same warm–temperate evergreen broad-leaved forest community can respond differently to future climate. The two-tier threshold scheme applied in this study was effective not only for assessing whether distributions expand but also for delineating and evaluating climatically stable core habitats. Although our findings need to be interpreted in light of the uncertainty associated with extrapolation into future climates, they can serve as useful baseline data for establishing climate-change-adaptive forest conservation and species-specific management strategies. Full article

Board governance profoundly influences corporate management performance, yet its role in owners’ corporations (OCs) managing multi-owned buildings (MOBs) remains under-researched. A previous single-case interpretative study suggested that a “helping hand” (HH) governance approach leads to better MOB management, but the generalizability of these qualitative findings remained untested. This study extends that work by developing a configurational model of OC governance patterns and testing it using fuzzy-set Qualitative Comparative Analysis (fsQCA). Data were collected through structured questionnaires completed by chairpersons of 29 OCs (76.3% response rate) managing Tenants Purchase Scheme (TPS) estates in Hong Kong, while outcome measures of OC performance were derived from a prior survey of 1930 owners. The fsQCA results show that OCs adopting HH governance at both the management and operational levels consistently achieve better performance. Furthermore, better-performing OCs maintain an HH style even when their governance focus shifts occasionally or when operational help is temporarily absent. A key finding is that owners welcome government officials sharing their management experience but are indifferent or opposed to direct monitoring. Practical implications include the need for policymakers to promote HH governance, facilitate experience-sharing rather than monitoring, and design training that helps OCs balance vested and general interests. This study makes three independent contributions: (1) testing the generalizability of prior qualitative findings using fsQCA; (2) developing and testing a configurational model of OC governance patterns; and (3) providing the first quantitative evidence on governance “hand” types and management performance within the Tenants Purchase Scheme (TPS) context. Full article

In response to rising global energy demand and sustainability targets, assessing the energy-related efficiency of agricultural products has become a critical issue. Sweet sorghum is widely recognized as a promising energy crop for sustainable biofuel production, thanks to its low water requirements and high biomass productivity. To the best of the authors’ knowledge, this study provides the first comprehensive cumulative exergy-based evaluation of sweet sorghum production by simultaneously assessing its energy, exergy, and environmental performance using five key indicators: Cumulative Energy Consumption (CEnC, 718.48 MJ/ton), Cumulative Exergy Consumption (CExC, 2031.42 MJ/ton), Cumulative CO₂ Emission (CCO₂E, 124.01 kg CO₂/ton), Cumulative Degree of Perfection (CDP, 2.8) and Renewability Index (RI, 0.64), based on field level data for the production of one ton of sweet sorghum. Input-based analysis revealed that electricity consumption accounted for the largest share of both energy and exergy use, amounting to 334.85 MJ/ton and 1396.32 MJ/ton, respectively. At the same time, irrigation water was identified as a major contributor to carbon emissions. The integration of renewable electricity sources substantially improved system performance, increasing the CDP to 6.32 and the RI to 0.84, corresponding to more than a twofold increase in exergy efficiency and a shift toward a predominantly renewable production system. Overall, the findings highlight the strong potential of sweet sorghum as a sustainable biofuel feedstock and underline the importance of integrated policy and management approaches that simultaneously address energy quality, exergy losses, and carbon emissions in agricultural energy systems. Full article

Against the dual background of restructuring global green trade rules and advancing China’s “dual-carbon” strategy, environmental information disclosure has increasingly become a crucial strategic tool for firms seeking to enhance international competitiveness. Existing studies have mainly examined the quantity, content, and quality of environmental information disclosure, while paying insufficient attention to its relative disclosure position, a strategic feature of information presentation that may affect signal salience and attention allocation. Drawing on signaling theory and the attention-allocation perspective, this study examines Chinese A-share listed exporters by matching environmental information disclosure positions observed during 2021–2023 with firms’ export product quality during 2022–2024. The final baseline sample contains 1472 firm-year observations. The findings show that earlier environmental information placement is significantly associated with higher subsequent export product quality. This relationship is mainly concentrated in the difference between Position_1 and Position_3, whereas Position_2 does not differ significantly from Position_1. The main result remains robust to alternative coding of disclosure position, additional controls for environmental disclosure volume, adjustment of the sample period, a panel-preserving placebo test, and an external peer-based instrumental-variable analysis. The three-step mechanism tests provide channel-consistent evidence for two potential transmission channels. More prominent environmental information placement is associated with a higher likelihood of ISO 14001 certification, reflecting stronger externally verifiable green credibility, and with greater realized green innovation output, reflected in granted green patents. Both mechanism variables are positively associated with subsequent export product quality. This study extends the literature on environmental information disclosure by shifting attention from static disclosure characteristics to the strategic prominence of information presentation, enriches the micro-level application of signaling theory in international trade, and provides practical insights for firms and regulators to improve the prominence, credibility, and substantive consistency of environmental disclosure while promoting export-quality upgrading. Full article

Foodborne illnesses caused by Salmonella Typhimurium remain a major public health concern worldwide. Although ST19 has historically been a dominant lineage within this serotype, ST213 has become increasingly prevalent in Mexico. The biological factors underlying this epidemiological shift remain incompletely understood. In this study, we compared virulence-associated gene repertoires and stress-related phenotypes in representative S. Typhimurium ST19 and ST213 strains with distinct virulotypes (VTs). Comparative genomic analysis identified 119 virulence-associated genes distributed across 26 VTs, with most genes broadly conserved between genotypes. Representative strains were evaluated under simulated gastrointestinal tract (GIT) stress conditions, in post-stress recovery assays, and in a Caenorhabditis elegans infection model. Under the experimental conditions evaluated, the representative ST213 strains SAL109 (VT1), SAL115 (VT1), and SAL016 (VT12) tended to show higher persistence under host-associated stress conditions and greater intestinal colonization capacity in C. elegans than the ST19 strain SAL004 (VT23). However, strains sharing the same VT did not necessarily exhibit similar phenotypes, indicating that virulence-associated gene repertoires alone do not fully explain stress tolerance or host colonization behavior. Overall, these findings highlight phenotypic variability among strains with similar virulence gene content and support the importance of integrating genomic and phenotypic approaches to better understand the biology of emerging S. Typhimurium lineages. Full article

The rhizosphere microbiome is critical for plant health, yet how soil type and intensive management jointly govern its assembly remain unclear. Here, we hypothesized that soil type acts as a primary environmental filter, while intensive cultivation (plant growth plus fertilization) imposes additional selective pressures that differentially shape bacterial versus fungal communities. Using flue-cured tobacco (K326) grown in clay loam and sandy loam soils under field conditions, we examined the rhizosphere microbiome at the topping stage. Intensive cultivation significantly altered rhizosphere physicochemical properties. Key nutrients, including organic matter (OM), dissolved total nitrogen (DTN), available phosphorus (AP), and available potassium (AK), were markedly enriched. Rhizosphere soil pH exhibited a bidirectional shift relative to the corresponding bulk soil, converging to a narrow range (7.4–7.8) in both soil types. Root activity and fertilization imposed contrasting selective pressures on the two microbial kingdoms: bacterial diversity declined slightly, indicating strong deterministic selection, whereas fungal diversity increased, reflecting adaptation to root-generated niches. Differential abundance analysis identified 38 bacterial OTUs as a core rhizosphere-adapted microbiome shared across both soil types, demonstrating robust fitness in the nutrient-enriched rhizosphere environment under intensive management. No shared core fungal OTUs were detected, underscoring strong soil legacy effects and higher habitat specificity in fungi. Notably, the core bacterial microbiome was dominated by K-strategists (slow-growing, resource-efficient taxa) that exhibited opportunistic traits capable of rapidly exploiting nutrient pulses in the rhizosphere. Together, these findings reveal that soil type acts as a critical filter modulating plant–microbe interactions under intensive agriculture, while bacteria and fungi employ divergent ecological strategies in response to selection pressures. This work provides both theoretical and practical insights for optimizing tobacco cultivation and sustaining soil microecological health. Full article

Predicting molecular bioactivity in low-data regimes remains a central challenge in computational drug discovery, where labeled compounds for specialized tasks are scarce while related datasets are abundant. Here, we propose FerrGAT, a graph attention network framework that addresses this challenge through domain-relevant multi-task pre-training and dual-channel molecular representation learning. FerrGAT first pre-trains a shared GAT encoder on three mechanistically related tasks—antioxidant activity (GST inhibition, 245 compounds from ChEMBL target CHEMBL2095173; 83 active/162 inactive), kinase inhibition (3000 compounds spanning AXL, EGFR and VEGFR2 from ChEMBL; 2240 active/760 inactive), and cellular toxicity (7265 compounds from the Tox21 NR-AhR endpoint; 309 active/6956 inactive)—then transfers the learned representations to a target task via differential learning rate fine-tuning. The architecture fuses atom-level graph features from multi-head attention message passing with global physicochemical descriptors through a learned projection and provides built-in interpretability via attention weight visualization at the atomic level. We evaluated FerrGAT on ferroptosis inhibitor prediction as a representative low-data molecular classification task (1052 compounds from ChEMBL targets GPX4 and HMOX1 combined with 63 literature- and FerrDb-curated ferroptosis modulators; 409 active/643 inactive). In 5-fold cross-validation, FerrGAT achieved an AUC of 0.906, outperforming Morgan fingerprint baselines, including Random Forest (0.877), XGBoost (0.871), and an SVM (0.873). Ablation studies confirmed that domain-relevant pre-training improved AUC by 2.5% over training from scratch, while pre-training on unrelated tasks degraded performance, highlighting the importance of task-domain alignment. Applied to virtual screening of 30 FDA-approved tyrosine kinase inhibitors, the model identified Bemcentinib (AXL inhibitor, score = 0.918) as a top candidate, validated by AutoDock Vina molecular docking (−8.51 kcal/mol) and independent experimental evidence, including lipid peroxidation assays, Western blot, and cellular thermal shift analysis. These results demonstrate that domain-aware transfer learning with graph attention networks provides an effective and interpretable framework for molecular property prediction in data-limited scenarios. Full article

Conservation governance frameworks assess equity through recognition, procedure, and distribution. These dimensions give limited attention to Indigenous authority over land and conservation decisions in settler-colonial contexts, including the relationships, responsibilities, and governance conditions that shape equitable conservation. This study develops and pilots the Conservation with Equity framework across three UNESCO-designated Biosphere Reserves in Canada: Clayoquot Sound, Mount Arrowsmith, and Redberry Lake. Using document analysis of UNESCO governance documents, complemented by semi-structured interviews with Biosphere Reserve managers, we examined how equity is reflected in conservation governance practices. The pilot application identified ecological reconciliation as a fourth and foundational dimension of equitable conservation governance, extending existing equity frameworks. Results show that the Biosphere Reserves incorporate Indigenous knowledge into conservation activities, involve communities in decision-making through governance processes, and support local livelihoods and restoration initiatives. However, these practices improve participation and benefit sharing without consistently shifting decision-making authority over land and conservation. Indigenous-led initiatives, including Tribal Parks, land-based education, healing initiatives, and food production systems, demonstrate pathways where Indigenous communities direct land use and conservation decisions. The Conservation with Equity framework provides a basis for assessing conservation governance with greater attention to Indigenous authority, governance, and relationships with land. Full article

Empty cup aroma is a distinctive quality attribute of soy sauce aroma type baijiu (SSB), but the compounds responsible for its long persistence and their changes over time are still not well understood. Previous studies have mainly focused on key empty cup odourants at single time points. In this study, a typical commercial SSB was selected and monitored for 30 days using aroma extract dilution analysis (AEDA), time-resolved odour monitoring, residue peak area analysis and correlation with boiling point. AEDA revealed 65 aroma-active regions, including 63 in SSB, 36 in the empty cup and 34 shared by both. After emptying, the flavour dilution profile changed markedly: fruity esters and volatile aldehydes became less prominent, whereas sotolon showed the highest FD factor in the empty cup (FD 2048), and several acids and pyrazines also became prominent. The number of detectable regions increased from 43 at 0 h to 49 at 6 h, and then gradually decreased to 14 at day 30. Persistence was strongly correlated with boiling point (Spearman’s ρ = 0.7465, p < 0.0001, n = 32). Peak area profiles also showed two general patterns. Low-boiling esters, aldehydes and dimethyl trisulfide decreased rapidly, whereas organic acids, pyrazines, phenylethyl alcohol, γ-nonanolactone and ethyl hexadecanoate showed delayed maxima or non-monotonic changes. These results suggest that persistent empty cup aroma is not simply a residual form of the original baijiu aroma but develops through selective retention and temporal shifts in the contribution of different odourants. Full article