Search Results (1,323)

The increasing penetration of distributed generation (DG) in distribution systems poses significant operational challenges, including increased power losses, voltage profile deviations, and variations in short-circuit currents. These issues may compromise network safety, reliability, and the selectivity of protection schemes under different operating scenarios. This paper proposes a hybrid optimization methodology for the optimal placement and sizing of DG, aiming to minimize active power losses while ensuring voltage regulation and keeping short-circuit currents within permissible limits. An integrated approach is proposed that combines a mesh-to-radial network reconfiguration strategy with a modified Ant Lion Optimization algorithm, known as ALO-DG, enabling the simultaneous optimization of network topology and the allocation of distributed generators at candidate buses. The problem is formulated taking into account power balance constraints, voltage limits, distribution network capacity limits, and short-circuit current limits. The proposed methodology achieved substantial reductions in active power losses in the IEEE 33-bus and 69-bus test systems, reaching 84.42% and 91.56%, respectively. These improvements were accompanied by enhanced voltage profiles while preserving the radial operating structure of the distribution networks. Furthermore, the proposed hybrid methodology serves as a tool for the planning and operation of distribution systems with high DG penetration, particularly in scenarios where grid security and protection coordination are critical considerations. Full article

Background/Objectives: Oral tongue squamous cell carcinoma (OTSCC) remains clinically challenging because conventional clinicopathological markers do not fully explain variability in recurrence and survival. This systematic review and functional meta-synthesis aimed to identify and critically appraise studies using preoperative magnetic resonance imaging (MRI)-based radiomics, artificial intelligence (AI), deep learning, or quantitative MRI-derived models to predict recurrence and prognostic outcomes in OTSCC. Methods: PubMed, Scopus, and Embase were searched from inception to March 2026. Eligible studies included prognostic model investigations in adults with OTSCC or primary tongue cancer without reported base-of-tongue/oropharyngeal involvement, undergoing preoperative MRI and surgery, with recurrence- or survival-related follow-up. The primary synthesis was a functional meta-synthesis; pooling was not performed because studies were not sufficiently comparable. Results: Seven retrospective studies were included, with a summed descriptive sample of 1287 participants. The evidence base was heterogeneous in MRI sequences, segmentation workflows, model architecture, validation strategy, and endpoint definition. Functional meta-synthesis identified four domains: direct recurrence-oriented modeling, broader prognostic stratification, reported incremental or complementary value over clinical frameworks, and translational maturity/technical implementation. Several studies reported associations between MRI-derived signatures and recurrence- or survival-related outcomes, but findings were interpreted narratively because of differences in primary endpoints, imaging features, model design, validation methods, and outcome definitions. Most studies were judged at high overall risk of bias, and certainty of evidence ranged from low to very low. Conclusions: MRI-based radiomics and AI show preliminary promise for prognostic stratification in OTSCC, particularly recurrence-related risk refinement, but current evidence remains limited by retrospective design, heterogeneity, sparse external validation, and low certainty. Full article

Leptospirosis is a globally distributed zoonotic disease caused by pathogenic bacteria of the Leptospira genus. Currently, 77 genomic species have been described. Leptospira interrogans is the most extensively studied species due to its high prevalence worldwide and the severity of the disease it causes in humans and animals. However, Leptospira santarosai is an important pathogenic species in the Americas, the Caribbean islands, and Taiwan. This species has a high serological diversity: it can infect domestic, wild, and agricultural production animals, causing reproductive problems and substantial economic losses. Additionally, Leptospira santarosai has been detected in water sources and wet soils. In humans, infection with this species can lead to a wide range of clinical manifestations and severe complications. Therefore, this study aimed to synthesize available information on the serological diversity, geographical distribution, natural sources of infection, and human leptospirosis caused by Leptospira santarosai to better understand their role in the leptospirosis transmission cycle. Methods: A systematic review of the literature was conducted, following the criteria established by the PRISMA-2020 guide, the search for scientific articles was conducted in five specialized and multidisciplinary databases (PubMed, Scopus, Web of Science, SciELO, and LILACS), and a search engine (Google Scholar). Two different search strategies (Leptospira santarosai OR L. santarosai) were used. Result: Once the search was carried out in the databases, 2989 scientific articles were identified. These articles underwent a process of identification, screening, eligibility, and inclusion, resulting in 84 articles that met all established inclusion criteria. These articles were included in the qualitative synthesis and elaboration of the systematic review. Conclusions: Leptospira santarosai shows a high serological diversity, with 14 serogroups and 59 serovars. The species has a wide geographic distribution, having been reported on five continents and in 26 countries, and has been described as an infectious agent in at least 24 host animals. It has also been detected in environmental sources such as water and wet soils; 24 serovars have been identified as the causative agents of human leptospirosis, causing clinical manifestations that range from mild to severe forms of the disease and clinical complications such as myocarditis, uveitis, and neuroleptospirosis. Although L. santarosai is considered native to the Americas, it shows an expansion pattern to other continents and countries. Therefore, this pathogenic species of the Leptospira genus represents an important public health problem worldwide. Full article

This study examines the associations among circular economy (CE) awareness, CE maturity, and circular material flows in the construction industry using Partial Least Squares Structural Equation Modeling (PLS-SEM). The analysis is based on cross-sectional self-reported survey data collected from 265 firms within the Sustainable Habitat Cluster of Medellín, Colombia. The proposed model examines relationships among cognitive, organizational, and operational dimensions of circularity across the construction supply chain. Results indicate that CE awareness is positively associated with both CE maturity and circular material flows, suggesting that firms reporting higher levels of CE knowledge, communication, training, and access to information systems also report stronger organizational engagement with circular economy initiatives and better circularity outcomes. In contrast, the association between CE maturity and circular material flows was not statistically significant, and no significant mediation effect was observed. These findings indicate that the CE implementation capabilities captured by the maturity construct were not significantly associated with stronger operational circularity outcomes within the sampled firms. The study provides empirical evidence from an emerging-economy construction cluster and highlights the importance of complementing awareness-building initiatives with organizational and operational mechanisms that facilitate the implementation of circular practices across construction ecosystems. Full article

Andean berry (Vaccinium meridionale Swartz) is an underutilized fruit that could serve as a source of bioactive compounds with biological properties associated with apoptosis and cytotoxicity in colorectal cancer cells. This study aimed to evaluate the cytotoxic and proapoptotic effects of Andean berry juice (ABJ) in human SW480 and SW620 colon cancer cell lines, which represent early-stage and metastatic colorectal cancer, respectively. The juice was prepared from freeze-dried fruits, and several concentrations were assayed in cells. Bioactive compounds in ABJ showed the strongest reductions in metabolic activity and proliferation observed in SW620 cells. ABJ treatments promoted early apoptosis while inducing cell cycle arrest in the S phase (SW480) and in the G2/M (SW620). Mild mitochondrial depolarization was observed, while increased reactive oxygen species (ROS) accumulation was detected in both cell lines. More proteins involved in the apoptotic process were modulated in SW620 cells, whereas SW480 displayed greater fold changes in regulatory and stress-response proteins. Proteomics and bioinformatics analyses suggested that extrinsic apoptosis predominated in SW480 cells, whereas intrinsic apoptosis was observed in SW620 cells. These results highlighted the cytotoxic and pro-apoptotic potential of the combined activity of polyphenolic compounds from ABJ, demonstrating distinct mechanisms in vitro. Full article

Spotted fever group (SFG) rickettsioses are emerging zoonotic diseases of increasing relevance in Latin America, yet the specific species involved in human infections remain poorly defined in many endemic regions. This study aimed to determine the most probable antigen among SFG-seroreactive febrile patients from Villeta, Colombia. A panel of 25 convalescent-phase serum samples previously identified as positive for SFG Rickettsia spp. antibodies was analyzed by indirect immunofluorescence assay using antigens of Rickettsia rickettsii, R. amblyommatis and R. parkeri. Antibody titers were compared to identify differential seroreactivity patterns. Overall, 44% (11/25) of the samples showed differential antibody titers against one of the tested antigens. Among these, nine (36%) exhibited higher titers to R. parkeri and two (8%) to R. amblyommatis, while none showed exclusive reactivity to R. rickettsii. The remaining 56% (14/25) presented similar titers across antigens, consistent with indeterminate or cross-reactive SFG responses. Antibody titers ranged from 1:128 to 1:4096, with R. parkeri showing the strongest reactivity. These findings suggest R. parkeri or a highly related Rickettsia species as the predominant probable antigen in Villeta, highlighting its potential role in mild rickettsial infections and emphasizing the need for eco-epidemiological studies to identify local vectors and reservoirs. Full article

The built-in electric field induced by polarization in ZnO/Mg_0.2Zn_0.8O quantum wells can be screened to modulate the conduction-band potential profile and intersubband energy levels. To optimize the screening of the built-in electric field, we analyze the influence of an external electric field, temperature, and modulation doping. The position of the doped layer is varied within the heterostructure to improve field compensation, providing additional control over electron localization and intersubband energy separation. In this work, within the effective mass approximation and by self-consistently solving the Poisson and Schrödinger equations using the finite-difference method, we calculate the electronic structure and nonlinear optical response of an n-type doped ZnO/Mg_0.2Zn_0.8O quantum well heterostructure. Our results indicate a strong dependence of the confinement potential on the applied external electric field and the electrostatic potential arising from the doped layer. We demonstrate electronic Raman gain values on the order of ${10}^3$–${10}^4$ cm⁻¹ for specific values of field strength, temperature, and doped-layer position. This approach enables fine-tuning of the nonlinear optical response, which is crucial for the development of ZnO-based optoelectronic devices. Full article

We develop a comparative synthesis of quantum-information geometry beyond complex numbers, with emphasis on what different algebraic frameworks contribute to information-processing structure rather than on their formal novelty alone. The organizing idea is a layer-by-layer test of the standard complex Hilbert-space formalism: each non-complex or deformed framework modifies the scalar field, phase group, projective state space, Born-probability semantics, composition rule, measurement geometry, symmetry algebra or representation category. The central thesis is that such frameworks are physically meaningful when they identify which assumptions make complex quantum mechanics operationally stable: positive probabilities, associative multipartite composition, reversible dynamics, experimentally testable phases, locality constraints, informationally complete measurements, error bases and clear operational semantics. Real quantum theory probes the necessity of complex phases and local tomography; quaternionic quantum mechanics probes non-Abelian phase while retaining associativity and admitting complex embeddings; octonionic proposals probe the boundary where exceptional geometry survives but generic circuit composition is obstructed by non-associativity; Jordan algebras test ordered probabilistic state spaces; Clifford algebras and Bott periodicity provide the spinorial and topological grammar connecting gates, Hopf maps and periodic dimensions; and quantum-group or q-deformed constructions probe coproducts, braiding and representation categories rather than scalar amplitudes. We distinguish three roles that are often conflated: genuine hypercomplex kinematics, Hopf-fibration coordinates for ordinary complex multipartite entanglement, and deformed algebraic or categorical structures. The resulting map separates established equivalence and experimental-constraint results from useful representation tools and speculative programs, while identifying concrete open problems for non-complex quantum information. Full article

Gold-mine tailings have attracted increasing interest as alternative constituents in cement-based materials, yet their use in structural concrete remains limited by the lack of multivariable approaches capable of capturing the interaction between tailing fractions with different functional roles. In this study, a tailing-derived fine aggregate and a fine tailing sludge from the Cisneros Project (Santo Domingo, Antioquia, Colombia) were jointly incorporated into structural concrete and evaluated through a response surface methodology based on a central composite design. The tailings were characterized by physical, chemical, mineralogical, and morphological analyses, while concrete mixtures proportioned according to ACI 211 were assessed in terms of 28-day compressive strength. The statistical model revealed a significant quadratic response and a strong interaction between both incorporation variables. The most favorable strength region, based solely on 28-day compressive strength, was identified at sludge contents below 20% and tailing aggregate replacement below 90%, with the latter interpreted as a preliminary mechanical threshold rather than as a practical recommendation for field application. Higher incorporation levels led to strength losses associated with the increasing fineness of the system and greater water demand. This study demonstrates that the performance of tailing-modified structural concrete depends on the coordinated dosage of fractions with distinct roles and provides preliminary mechanical incorporation limits based solely on 28-day compressive strength. Since durability and environmental safety tests, including heavy metal/cyanide leaching, permeability, shrinkage, and chemical resistance, were not conducted, these limits should not be interpreted as definitive recommendations for long-term structural application. Full article

Mayaro virus (MAYV) is an emerging arbovirus from the Togaviridae family where inflammation plays a central role in disease development. As the cause of Mayaro fever, MAYV triggers strong production of pro-inflammatory cytokines, which can result in long-lasting arthralgia in affected individuals. Macrophages are both targets for viral infection and key regulators of inflammatory responses. Human monocyte-derived macrophages (MDMs) are susceptible to MAYV infection in vitro and support productive viral replication. With no approved antivirals or vaccines, finding host-directed therapies is an urgent priority. Cannabinoids are compounds with antiviral and immunomodulatory properties, suggesting potential against MAYV infection. Here, we examined the effects of cannabidiol (CBD) and the synthetic cannabinoid WIN 55,212-2 on MAYV-infected MDMs in pre- and post-treatment conditions. Cells and supernatants were collected at 6 and 24 h post-infection (h.p.i). To understand the mechanisms involved, transcriptomic and functional analyses were performed at 24 h.p.i in the post-treatment setting, focusing on inflammatory, antiviral, and endoplasmic reticulum (ER) stress pathways. WIN 55,212-2 post-treatment significantly decreased viral replication at 24 h.p.i without any direct virucidal activity and was independent of type I interferon activation or interferon-stimulated gene induction, instead being linked to the modulation of ER stress signaling. Specifically, WIN 55,212-2 increased IRE-1α RNase activity, promoting the alternative splicing of sXBP1, while the integrated stress response appeared central to its antiviral effect. Additionally, WIN 55,212-2 downregulated inflammation-related genes and altered cytokine and chemokine production, counteracting the strong inflammatory response caused by MAYV. Remarkably, it also exerted broader immunomodulatory effects independent of infection. Full article

Testicular germ cell tumor (TGCT) is a common tumor type in young men. Family history of TGCT and its presence in twins support the involvement of inherited genetic factors. Germline exome sequencing was performed on monozygotic twins with TGCT and their parents. The twins presented compound heterozygous variants in PDE11A (rs776984134 and rs17400325) inherited from each parent. The rs776984134 variant disrupts the canonical splice acceptor site, leading to aberrant splicing and a frameshift predicted to affect protein structure. The rs17400325 missense variant, located in the catalytic domain, reduces hydrogen bonding capacity and may impair protein stability. Both variants map to a genomic region overlapping the antisense lncRNA PDE11A-AS1. In silico transcript-level analysis predicted multiple energetically favorable RNA–RNA interactions between PDE11A and PDE11A-AS1 transcripts, with rs17400325 located within predicted hybridization regions of several isoforms. These results suggest a potential impact on PDE11A–PDE11A-AS1 pairing and post-transcriptional regulation. Additional variants in MSH6 and CTU2 were also identified and may act as potential modifiers of disease susceptibility, consistent with a multigenic contribution to TGCT risk. These findings support a contributory role for the PDE11A locus in TGCT predisposition and underscore the biological relevance of overlapping sense–antisense genomic regions in hereditary cancer studies. Full article

Most image encryption schemes exhibit one or more of the following limitations: keystream bias, high residual pixel correlation, pattern leakage, low sensitivity to key changes, or a security-efficiency trade-off. We present a robust image encryption framework based on a chaotic system that operates across the red, green, and blue color channels and mitigates all of the above vulnerabilities. The scheme consists of a novel integration of strong bidirectional modular diffusion, inter-channel confusion using a six-state permutation table, and Secure Hash Algorithm 256-based key derivation. Thus, we achieve the following: lossless reconstruction, near-ideal entropy, negligible adjacency correlation, high sensitivity to infinitesimal changes in both the plaintext and the secret key, a complete diffusion effect confirmed by standard differential metrics, and resilience against known- and chosen-plaintext attacks. Furthermore, the results comply with the National Institute of Standards and Technology randomness tests. These results are obtained with competitive encryption times (∼0.37 s for 512 × 512 images) without any code optimization. All of these features make the scheme promising for secure real-time visual data transmission, particularly in telemedicine and Internet of Things surveillance. Full article

The transition toward circular economy (CE) models has become a global priority for overcoming the limitations of linear production systems. However, CE adoption remains constrained by limited conceptual understanding, weak strategic alignment, and insufficient communication processes within organizations. This study develops a strategic communication model to support the adoption and implementation of CE practices in industrial clusters. The model is based on previous empirical findings, which were analyzed by a group of experts. These findings revealed significant gaps in CE knowledge, low levels of strategic integration, and limited communication structures within firms. In response, the study proposes a multi-level communication framework structured around internal and external dimensions, designed to influence decision-making, foster organizational alignment, and enhance stakeholder coordination. The findings suggest that strategic communication can serve as an important enabler of CE transition by facilitating knowledge transfer, supporting organizational learning, and promoting collaboration across value chains. The proposed framework provides a structured and adaptable tool that may support the advancement of circular practices and enhance competitiveness in industrial clusters. Full article

The growing global demand for energy, together with the urgency of advancing toward a sustainable energy transition, has reinforced the role of renewable energy (RE) in shaping more resilient and low-carbon energy systems. However, the evaluation of RE projects remains highly fragmented, with multiple criteria, methodologies, and tools often applied in isolation, limiting comparability and consistency in decision-making. To address this gap, this study aims to develop a sustainability-oriented framework for renewable energy project evaluation that integrates criteria, analytical methods, and technological tools within a unified architecture. The framework is developed through a four-stage methodological process: component identification, structuring and harmonisation, dimensional integration, and framework design. As a result, an initial set of 433 criteria is consolidated into 51 harmonised criteria organised across six dimensions: environmental, climatic, economic, social, technical, and locational, alongside the systematisation of widely used methodologies and tools. The proposed framework adopts a three-layer structure that links what is evaluated, how it is evaluated, and how the evaluation is operationalised. The findings highlight a stronger representation of environmental and economic dimensions, while social aspects appear less frequently in the analysed studies. Overall, the framework supports more comprehensive decision-making and guides the future development of renewable energy projects within the broader transition toward sustainable energy systems. Full article

Background: Hungry bone syndrome (HBS) is a frequent and potentially severe complication following parathyroidectomy in patients with chronic kidney disease (CKD) and secondary (SHPT) or tertiary hyperparathyroidism (THPT). We aimed to identify preoperative risk factors associated with the development of HBS in this population. Methods: We conducted a retrospective cohort study including 99 adult patients with CKD-associated SHPT or THPT who underwent parathyroidectomy at Hospital San Vicente Fundación between 2018 and 2024. HBS was defined as corrected serum calcium <8.5 mg/dL requiring intravenous calcium supplementation for at least 72 h postoperatively. Clinical, biochemical, and histopathological variables were evaluated. Multivariable logistic regression analysis was performed to identify independent predictors of HBS, and model discrimination was assessed using the area under the receiver operating characteristic curve (AUC). Results: Overall, 40.4% of patients developed HBS after parathyroidectomy. Compared with patients without HBS, those with HBS more frequently had preoperative musculoskeletal symptoms (82.5% vs. 32.2%), higher preoperative intact parathyroid hormone levels (2135 vs. 1561 pg/mL), and parathyroid adenoma on histology (57.5% vs. 25.4%). In multivariable analysis, preoperative musculoskeletal symptoms (OR 10.92; 95% CI 2.32–51.43) and parathyroid adenoma (OR 6.16; 95% CI 1.38–27.54) were independently associated with increased risk of HBS. Conversely, higher preoperative calcium levels (OR 0.36; 95% CI 0.16–0.85) and the use of calcitriol or vitamin D receptor activators (OR 0.24; 95% CI 0.07–0.81) were protective factors. The final model demonstrated good discrimination (AUC = 0.86; 95% CI 0.77–0.93). Conclusions: HBS is a common complication after parathyroidectomy in patients with CKD-associated SHPT or THPT. Preoperative musculoskeletal symptoms and parathyroid adenoma were associated with increased risk, whereas higher calcium levels and calcitriol/vitamin D receptor activator use appeared protective. Early identification of high-risk patients may facilitate perioperative risk stratification and targeted management strategies. Full article