Search Results (1,025)

Urbanization, expanding tourism, and infrastructure development are altering water quality in the Yucatán Peninsula (YP). This study evaluated temporal variations in water quality and trophic status using the Water Quality Index (WQI) and Trophic State Index (TSI) across ten inland water systems (IWS) monitored from 2012 to 2024. Spatial patterns from an additional 29 IWS sampled in 2024 were also analyzed. The Mann–Kendall test and Theil–Sen estimator revealed a significant decline in water quality (Z = −9.07, β = −2.62) and a sustained increase in eutrophication (Z = 4.00, β = 1.15). The NMDS separated two lake groups: one with high nutrients and total coliforms, and another with elevated TDS and conductivity. The PCA identified turbidity, nitrogen, chlorophyll-a, and total coliforms as variables exerting the strongest influence on water variability. The WQI indicated generally poor conditions except in Bacalar Centro and Xul-Ha, which showed fair quality. The highest TSI values occurred in inland systems, except for La Sabana, which exhibited hypereutrophic conditions linked to wastewater inputs. NT–PT ratio indicated nitrogen limitation in most lakes, likely driven by groundwater recharge and low surface runoff. Overall, results demonstrate a progressive decline in water quality and widespread eutrophication across the YP. Full article

This article examines how the recognition, measurement, and disclosure of biological assets (BAs) under IAS 41 affect value creation in Colombian agribusinesses following IFRS adoption. Using EMIS Benchmark data for Colombia, we construct a panel of 157 agro-industrial firms that are neither subsidiaries of multinationals nor listed on the stock exchange; the panel covers 2012–2022, spanning the period before and after IFRS adoption. The database combines accounting and financial indicators with categorical variables capturing the scope of activities, valuation methods (historical cost, realisable value, present value, fair value), and disclosure policies for BAs. Value creation is proxied by EBITDA, return on equity (ROE), and return on assets (ROA). We estimate fixed-effects panel models for three IFRS groups. Results show that, in Group 1, defining the accounting scope and using fair value and present value as measurement bases are associated with higher firm value, while Groups 2 and 3 display positive but statistically weaker effects. Explicit disclosure is also associated with higher profitability, particularly for SMEs. These findings are consistent with agency and firm theories: when entrepreneurial activities are recognised, measured, and disclosed consistently and transparently, information asymmetry and agency costs fall, and accounting policies become a driver of organisational performance in agribusinesses in emerging markets. The results also support the assumptions of institutional theory, as external regulatory pressures from IFRS and internal pressures arising from relationships among firms in the agro-industrial sector shape and reinforce information disclosure practices. Full article

Background/Objectives: Acute appendicitis (AA) is among the most common surgical emergencies. Differentiating between complicated (CAA) and uncomplicated (UAA) forms is essential for selecting the appropriate management—operative or non-operative—and for optimizing patient prioritization and outcomes. This study aimed to evaluate the diagnostic performance of emerging inflammatory indices in distinguishing these forms of AA. Methods: A total of 514 adult patients with surgically confirmed AA were retrospectively analyzed. Six immune-inflammatory indices—neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and pan-immune-inflammation value (PIV)—were calculated and compared with intraoperative and histopathological findings. Postoperative outcomes, including length of hospital stay (LOS) and hospitalization costs, were also evaluated. Results: All six indices were significantly higher in intraoperatively identified complicated cases (p < 0.0001). In histopathological analysis, five indices (NLR, MLR, SII, SIRI, and PIV) remained significantly elevated in patients with wall necrosis or perforation (p = 0.000–0.019), while PLR did not reach statistical significance. The indices showed fair diagnostic accuracy (AUC = 0.664–0.719, p < 0.0001). NLR and MLR were independent risk factors for CAA (p = 0.006 and p = 0.016), and MLR was also independently associated with complicated histopathological findings (p = 0.036). PIV independently predicted both increased LOS and higher hospitalization costs (p = 0.001 for each). Conclusions: These easily calculable inflammatory markers can serve as useful adjuncts for preoperative stratification of AA, supporting timely decision-making and contributing to more cost-effective emergency surgical care. Full article

Demographic trends over the last decades and future projections clearly indicate a steady increase in the proportion of older adults (65+) relative to both the working-age (15–64) and child populations (0–15) across Europe. This demographic shift—driven by rising life expectancy and declining fertility—raises pressing challenges for intergenerational equity and questions the sustainability of the implicit formal and informal “social contract” that links generations through the distribution of rights, responsibilities, and resources. In particular, the two fundamental pillars of European post-industrial societies, namely an extensive welfare state and a liberal–democratic institutional framework, appear to be at risk. To address this issue, the notion of “intergenerational fairness”, recently adopted by social policies in both USA and Europe, appears flexible and fundamentally ambiguous. As a substantial variant of neoliberal austerity policies, it is simply used as a justification for further austerity measures, the withdrawal of entitlements to social and economic rights by citizens and the dismantling of welfare states. A second meaning of “intergenerational fairness” is possible starting from the concept of ambivalence used to describe the mix of conflict and solidarity that characterizes intergenerational relations in contemporary post-industrial societies. In this respect, the two concepts of “successful ageing” and “active ageing”, often considered as overlapping, actually involve very different perspectives: successful ageing adopts a substantially reductionist, individualistic, and static approach to the process of ageing, whereas active ageing is a more comprehensive and dynamic strategy that seeks to overcome all these limitations by a life-course perspective. This recognizes that a person’s path to old age is not predetermined but depends primarily on earlier life experiences and their influence: the ageing process affects people of all ages, not just the elderly. And since the subjectivization of ageing in contemporary societies has challenged the conventional notion of “natural life stages”, the new theoretical concept advanced in the article of “ageing styles” becomes central to understanding the ageing process today. Ageing styles are the outcome of the interplay between the objective and subjective dimensions of the life course, represented, respectively, by life chances (social structure) and life choices (agency). A theoretical framework is proposed for analyzing ageing styles that can be used from a life-course perspective to highlight their complex and dynamic nature. An evidence-based European political strategy aimed at promoting active ageing from a perspective of intergenerational fairness, based on the eight principles indicated, can be flexible enough to ensure that everyone can adopt their preferred ageing style without top-down imposition and contribute to the maintenance of the intergenerational social contract. Full article

The demand for real-time land cover mapping from high-resolution remote sensing (HR-RS) imagery motivates lightweight segmentation models running directly on satellites. By processing on-board and transmitting only fine-grained semantic products instead of massive raw imagery, these models provide timely support for disaster response, environmental monitoring, and precision agriculture. Many recent methods combine convolutional neural networks (CNNs) with Transformers to balance local and global feature modeling, with convolutions as explicit information aggregation modules. Such heterogeneous hybrids may be unnecessary for lightweight models if similar aggregation can be achieved homogeneously, and operator inconsistency complicates optimization and hinders deployment on resource-constrained satellites. Meanwhile, lightweight Transformer components in these architectures often adopt aggressive channel compression and shallow contextual interaction to meet compute budgets, impairing boundary delineation and recognition of small or rare classes. To address this, we propose SatViT-Seg, a lightweight semantic segmentation model with a pure Vision Transformer (ViT) backbone. Unlike CNN-Transformer hybrids, SatViT-Seg adopts a homogeneous two-module design: a Local-Global Aggregation and Distribution (LGAD) module that uses window self-attention for local modeling and dynamically pooled global tokens with linear attention for long-range interaction, and a Bi-dimensional Attentive Feed-Forward Network (FFN) that enhances representation learning by modulating channel and spatial attention. This unified design overcomes common lightweight ViT issues such as channel compression and weak spatial correlation modeling. SatViT-Seg is implemented and evaluated in LuoJiaNET and PyTorch; comparative experiments with existing methods are run in PyTorch with unified training and data preprocessing for fairness, while the LuoJiaNET implementation highlights deployment-oriented efficiency on a graph-compiled runtime. Compared with the strongest baseline, SatViT-Seg improves mIoU by up to 1.81% while maintaining the lowest FLOPs among all methods. These results indicate that homogeneous Transformers offer strong potential for resource-constrained, on-board real-time land cover mapping in satellite missions. Full article

Background/Objectives: Artificial intelligence (AI) has rapidly evolved from experimental algorithms to transformative tools in clinical dentistry. Between 2020 and 2025, advances in machine learning (ML) and deep learning (DL) have reshaped diagnostic imaging, caries detection, prosthodontic design, and teledentistry, while raising new ethical and regulatory challenges. This study aimed to provide a comprehensive bibliometric and conceptual review of AI applications in dental care, highlighting research trends, thematic clusters, and future directions for equitable and responsible integration of AI technologies. In addition, the review further considers the implications of AI adoption for patient-centered care, including its potential role in supporting shared decision-making processes in oral healthcare. Methods: A comprehensive search was conducted in PubMed, Scopus and Embase for articles published between January 2020 and October 2025 using AI-related keywords in dentistry. Eligible records were analyzed using VOSviewer (v.1.6.20) to map co-occurrence networks of keywords, authors, and citations. A narrative synthesis complemented the bibliometric mapping, emphasizing conceptual and ethical dimensions of AI adoption in oral health care. Results: A total of 50 documents met the inclusion criteria. Bibliometric network visualization identified that the largest and most interconnected clusters were centered around the keywords “artificial intelligence,” “machine learning,” and “deep learning,” reflecting the technological backbone of AI-based applications in dentistry. Thematic evolution analysis indicated increasing interest in generative and multimodal AI models, explainability, and fairness in clinical deployment. Conclusions: AI has become a core driver of innovation in dentistry, enabling precision diagnostics and personalized care. However, responsible translation requires robust validation, transparency, and ethical oversight. Future research should integrate interdisciplinary approaches linking AI performance, patient outcomes, and equity in oral health. Full article

Temporary agency work (TAW) has expanded globally as organizations seek flexibility amid skill shortages and demand volatility. In 2015 the United Nations recognized ‘decent work’ as Sustainable Development Goal (SDG 8), emphasizing sustainable economic growth, fair employment opportunities accessible to all without discrimination, environmental responsibility, and social inclusiveness. This study examines why user organizations (clients) adopt TAW and how these drivers materialize in stakeholder practices that align—or fail to align—with SDG-8 dimensions of decent work. Within a qualitative-dominant, explanatory sequential mixed-methods case study, documentary and statistical analyses were combined with 19 semi-structured interviews across agencies, clients, agency workers, trade unions, and relevant authorities. Inductive thematic analysis identified seven demand-side driver categories and assessed their effects using the SDG-8 pillars as an analytical lens (employment creation, rights at work, social protection, social dialogue). Findings indicate that TAW is primarily deployed to buffer volatility and labour shortages, accelerate hiring, and shift HR administration and parts of risk to agencies, with limited integration of SDG-8–consistent practices. Three cross-cutting gaps emerged: (i) social dialogue is narrow and compliance-oriented, with little strategic focus on decent-work outcomes; (ii) agency-worker voice and representation are weak, and agencies are not consistently recognised as social partners; and (iii) social-sustainability efforts are sparse and ad hoc, with few structured measures for skill development, equal treatment, or clear conversion pathways, while environmentally friendly initiatives are almost completely absent. In Slovenia, TAW fills systemic labour gaps but remains weakly integrated with SDG-8 practices. The study links demand-side drivers to specific decent-work shortfalls and proposes a multi-level policy roadmap—regulatory, industry, TAW agency, and social-dialogue platforms—to advance progress toward social sustainability and environmental responsibility. Full article

This study examines whether an integrated human-talent system—incorporating recruitment/selection, development, appraisal/feedback, recognition, supportive leadership, and role utilization—is associated with job performance in a public technical organization. Using a quantitative, non-experimental, cross-sectional design, we surveyed 101 employees and constructed composite Likert indices for talent management and job performance. Reliability was acceptable (α = 0.850; α = 0.814). Kolmogorov–Smirnov tests indicated non-normal distributions (p < 0.001); thus, non-parametric procedures were used. Spearman’s correlation showed a moderate, positive association between overall talent management and job performance (ρ = 0.523, p < 0.001), with the “incorporate” process (competency-aligned recruitment/selection) displaying the strongest process-level link (ρ = 0.569, p < 0.001). Segment profiles (contract type, tenure, functional area, and gender) suggest unequal exposure to talent-supportive conditions within the workforce, which may help explain distributional differences in perceived performance. We discuss managerial implications for reducing intra-organizational disparities by ensuring fair access to development, feedback, and recognition systems. While the study does not directly measure well-being, the findings align with theoretical accounts that connect equitable access to talent resources with healthier work environments and better performance. Full article

In the current digital landscape, where platforms process AI-generated content and intelligent network traffic on a large scale, it is the duty of such platforms to continuously measure the reliability, trustworthiness, and security of various data streams. Driven by this practical challenge, this research develops an effective decision-support mechanism in intelligent decision-making in big-data AI-generated content and network systems. The decision problem has considered several uncertainties, including content authenticity, processing efficiency, user trust, cybersecurity, system scalability, privacy protection, and cost of computing. The multidimensional uncertainty of AI-generated information and trends in network behavior are challenging to capture in traditional crisp and fuzzy decision-making models. To fill that gap, a new Picture Fuzzy Faire Un Choix Adequat (PF-FUCA) methodology is proposed, based on multi-perspective expert assessment and better computational aggregation to improve the accuracy of rankings, symmetry, and uncertainty treatment. A case scenario comprising fifteen different alternative intelligent decision strategies and seven evaluation criteria are examined under the evaluation of four decision-makers. The PF-FUCA model successfully prioritizes the best strategies to control AI-based content and network activities to generate a stable and realistic ranking. The comparative and sensitivity analysis show higher robustness, accuracy, and flexibility levels than the existing MCDM techniques. The results indicate that PF-FUCA is specifically beneficial in settings where a large amount of data has to flow, a high uncertainty rate exists, and the variables of decision are dynamic. The research introduces a scalable and credible methodological conception that can be used to facilitate high levels of intelligent computing applications to content governance and network optimization. Full article

A large number of state-owned companies were privatized in the Czech Republic after the end of the communist regime, mostly through their transformation into joint-stock companies. The water management sector was no exception from this process. The ownership of infrastructure networks was transferred to individual municipalities, which are legally obliged to provide their inhabitants with water supply and sewerage disposal. Subsequently, the municipalities joined together in joint-stock companies to enhance their capacity to provide sufficient financial resources for the rehabilitation and development of water infrastructure and also to enable the implementation of sustainable water management strategies, which are key to environmental protection. Assets contributed to joint-stock companies in the form of non-monetary contributions serve as a basis for a proportionate allocation of shares, representing the shareholder’s share of participation in the company’s management. An analysis of the asset performance within these companies indicates the necessity of developing an optimized methodology for determining the number of shares allocated for such non-monetary contributions. This need arises from significant disparities in both profitability and cost-efficiency among municipalities, depending on factors such as population size (revenues) and the length and technical characteristics of the infrastructure networks (costs) contributed to the joint-stock companies. The authors of the article present the research project results, aimed at developing a methodological procedure for determining the price (value) of municipal infrastructure assets contributed as non-monetary capital to a joint-stock company that owns and operates water management networks, from which the secondary objective of determining the fair value of a municipality’s water management infrastructure assets based on the developed methodology is derived. The proposed methodological procedure is primarily based on establishing the ratio between the fixed and variable costs of the municipality. Full article

The dual Hukou system, originating in China’s planned economy period, structured Chinese society into separate urban and rural segments, thereby generating distinct sets of rights and benefits for agricultural and non-agricultural residents regarding land, social security, education, and healthcare. Urban home purchase is a pivotal indicator of social integration for rural–urban migrants in destination cities. While the literature has extensively examined migrants’ residential conditions in China, the institutional impact of the agricultural hukou system—a core constraint—on their urban homeownership, along with its underlying mechanisms and heterogeneity, remains underexplored. To address this gap, this study adopts a twofold approach: theoretically, it employs the separating equilibrium model in housing markets with incomplete information to verify that agricultural hukou acts as an institutional barrier to migrants’ local home purchases; empirically, it uses data from the China Migrants Dynamic Survey (CMDS) and applies the Fairlie decomposition method to quantify the constraint effect. The empirical results suggest that agricultural hukou exerts a 29.72% suppressive effect on migrants’ urban home purchase behavior. This effect operates indirectly by weakening migrants’ long-term settlement intention, which serves as a mediating variable. Moreover, the hindrance of agricultural hukou varies heterogeneously across groups, differing in education level, generational cohort, and regional distribution. To advance the fair and sustainable development of the real estate market, we advocate accelerating hukou reform by decoupling public services from residence status, fostering inclusive urbanization, and ensuring equitable development of housing markets. Full article

Background: Pregnancy induces substantial cardiovascular remodeling, yet whether maternal cardiac adaptation differs across ethnic groups remains unclear. Body size, ventricular geometry, and thoracoabdominal configuration may modulate key functional indices such as left ventricular ejection fraction (LVEF) and global longitudinal strain (LV-GLS). This systematic review compared echocardiographic characteristics between Asian and Western healthy pregnant women in late gestation and explored physiological mechanisms underlying observed differences. Methods: A comprehensive search of PubMed, Scopus, and EMBASE identified studies reporting transthoracic echocardiography in healthy singleton third-trimester pregnancies across Asian and Western populations. Extracted variables included anthropometry, ventricular dimensions and volumes, LVEF, and LV-GLS. Pooled estimates were calculated using inverse-variance weighting, with heterogeneity quantified using the I² statistic. Study quality was assessed with the NIH Case–Control Quality Assessment Tool. Comparative forest plots visualized population differences. Results: Twenty studies involving 1431 participants (578 Asian and 853 Western women) met inclusion criteria. Asian women consistently exhibited smaller ventricular chambers, higher LVEF, and more favorable LV-GLS. Importantly, these differences persisted after indexing LV-GLS to BSA, indicating that body-size normalization attenuates—but does not eliminate—population differences in myocardial deformation. Western women demonstrated slightly attenuated GLS despite preserved LVEF, plausibly attributable to larger cardiac size, higher wall stress, greater diaphragmatic elevation, and increased extrinsic thoracic compression. Between-study heterogeneity was substantial (I² > 95%) due to variation in imaging platforms, strain software, and population characteristics. Methodological quality was fair, with frequent lack of sample-size justification and incomplete confounder adjustment. Conclusions: Healthy Asian pregnant women display a hyperdynamic systolic phenotype, whereas Western women show a physiologically appropriate, load-related attenuation of LV-GLS with preserved LVEF. These findings highlight the need for ethnicity-associated and anatomy-aware echocardiographic reference values and support incorporating thoracic geometric indices, such as the modified Haller Index, into strain interpretation during pregnancy. Full article

Background and Objectives: Artificial intelligence (AI) has shown promising performance in skin-lesion classification; however, its fairness, external validity, and real-world reliability remain uncertain. This systematic review and meta-analysis evaluated the diagnostic accuracy, equity, and generalizability of AI-based dermatology systems across diverse imaging modalities and clinical settings. Materials and Methods: A comprehensive search of PubMed, Embase, Web of Science, and ClinicalTrials.gov (inception–31 October 2025) identified diagnostic accuracy studies using clinical, dermoscopic, or smartphone images. Eighteen studies (11 melanoma-focused; 7 mixed benign–malignant) met inclusion criteria. Six studies provided complete 2 × 2 contingency data for bivariate Reitsma HSROC modeling, while seven reported AUROC values with extractable variance. Risk of bias was assessed using QUADAS-2, and evidence certainty was graded using GRADE. Results: Across more than 70,000 test images, pooled sensitivity and specificity were 0.91 (95% CI 0.74–0.97) and 0.64 (95% CI 0.47–0.78), respectively, corresponding to an HSROC AUROC of 0.88 (95% CI 0.84–0.92). The AUROC-only meta-analysis yielded a similar pooled AUROC of 0.88 (95% CI 0.87–0.90). Diagnostic performance was highest in specialist settings (AUROC 0.90), followed by community care (0.85) and smartphone environments (0.81). Notably, performance was lower in darker skin tones (Fitzpatrick IV–VI: AUROC 0.82) compared with lighter skin tones (I–III: 0.89), indicating persistent fairness gaps. Conclusions: AI-based dermatology systems achieve high diagnostic accuracy but demonstrate reduced performance in darker skin tones and non-specialist environments. These findings emphasize the need for diverse training datasets, skin-tone–stratified reporting, and rigorous external validation before broad clinical deployment. Full article

Objectives: Magnetic resonance imaging plays a pivotal role in the management of locally advanced rectal cancer. This study aims to assess the correlation between magnetic resonance tumor regression grade and pathological tumor regression grade following neoadjuvant therapy in patients with locally advanced rectal cancer. Material and Methods: A retrospective analysis was conducted on 97 patients diagnosed with LARC (T3-T4 or any T stage with regional lymph node involvement) who underwent neoadjuvant chemoradiotherapy followed by radical surgery between 2014 and 2020. The correlation between mrTRG and pTRG was evaluated primarily using the weighted Kappa statistic. Additional clinical and imaging data were collected for a comprehensive analysis. Results: The median interval between completion of neoadjuvant therapy and restaging MRI was 40 days, with a median of 69 days from completion of chemoradiotherapy to surgery. The weighted Kappa was 0.27, indicating fair agreement between mrTRG and pTRG. MRI demonstrated a sensitivity of 52.1% and specificity of 81.6% for detecting a good response (pTRG 1–2). For identification of a complete response (pTRG 1), MRI showed a sensitivity of 10% and specificity of 98.7%. Conclusions: The correlation between mrTRG and pTRG shows fair agreement. Although MRI alone may not be sufficient to reliably predict pathological response, its high specificity suggests it can be a useful tool to confirm good and complete responses. Therefore, MRI should be integrated with other diagnostic methods, such as endoscopy and digital rectal examination, especially in organ preservation strategies. Moreover, MRI retains potential as a prognostic factor to guide clinical decision-making in LARC. Full article

Urban streams are subjected to a variety of impacts from stormwater runoff, channelization, routing through culverts, and highly modified riparian zones, all of which can have negative effects on stream habitats and resident fish communities. Coldwater trout streams in urban areas may be especially impacted due to their normally low fish diversity and the higher intolerance of those species to such factors as stream temperature, dissolved oxygen concentrations, and water chemistry. Fish communities were examined at two sites in each of four coldwater trout streams in southeastern Minnesota USA: one site within the residential/commercial areas of a city and one site outside of the city limits in rural (agricultural) areas. Fish were surveyed (all fish counted and identified) in representative 150 to 200 m sections at each stream site with a backpack electrofisher. Data were used to produce Simpson and Shannon diversity indices, taxa richness values, a coldwater index of biotic integrity (IBI) score and rating for each site, and an NMDS plot using fish communities to compare between urban and rural stream sections. Overall, fish representing 17 different species and 11 families were found at the sites examined. Brown trout (Salmo trutta) comprised 65% of the total catch and was the only species collected at every site. Average fish species richness was nearly three times higher at urban sites than at rural sites, and Simpson and Shannon diversities were also significantly (four to five times) higher at urban compared to rural sites. However, coldwater IBI scores were significantly higher at rural (average = 93, good rating) than at urban (average score = 59, a fair rating) sites, indicating better coldwater biotic integrity in rural stream sections. A NMDS plot indicated that fish communities at urban sites were more similar to one another than they were to rural site communities; separation between urban and rural sites was largely influenced by species exclusive to urban sites. Reduced biotic integrity and altered fish community composition in urban streams likely resulted from a combination of factors including modified stream habitat and hydrology, warmer water temperatures, and urban runoff. Full article