Search Results (1,078)

To mitigate the degradation of positioning accuracy in sixth-generation mobile communication systems under dynamic line-of-sight (LOS) and non-line-of-sight (NLOS) conditions, this paper proposes an improved adaptive Kalman filter positioning method based on Orthogonal Time Frequency Space (OTFS)-modulated signals. Firstly, the distance can be measured by using the OTFS-modulated signals transmitted between base stations and nodes. Secondly, the distance information is converted into the distance difference information to establish the time difference of arrival (TDOA) positioning equation, which is preliminarily solved using the Chan algorithm. Thirdly, residuals are calculated based on the preliminary positioning results, dividing the complex environment into distinct regions and adaptively determining corresponding genetic factors for each region. Finally, the selected genetic parameters are substituted into the Sage–Husa adaptive Kalman filter equations to estimate positioning results. The simulation analysis demonstrates that in complex environments featuring both line-of-sight and non-line-of-sight conditions, the vehicle motion trajectories estimated using this method more closely approximate actual trajectories. Additionally, both the accuracy and stability of positioning results show significant improvement compared to traditional methods. Full article

Introduction: 3D-printing is an emerging technology in the field of prosthetics, offering advantages such as cost-effectiveness, ease of customization, and improved accessibility. While previous reviews have focused on limited aspects, the aim of this systematic review is to provide a comprehensive evaluation of the clinical outcomes of 3D-printed prostheses for both upper and lower limbs. Methods: A search was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines across six databases (PubMed, Web of Science, EBSCO, Scopus, Cochrane Library, and Sage). Studies on 3D-printed prostheses in human rehabilitation that focused on the clinical outcomes of the device were included, while studies lacking clinical data, 3D printing details, or focusing on traditional manufacturing methods were excluded. Finally, the risk of bias was assessed using the modified Downs & Black Checklist. Results: A total of 1420 studies were identified, with 11 meeting the inclusion criteria. The included studies assessed different 3D-printed prosthetic types and upper and lower limb prostheses. The main clinical outcomes analyzed were functional performance, design and material integrity, and overall effectiveness of 3D-printed prostheses. Studies on upper limb prostheses reported improved dexterity, range of motion (ROM), and user satisfaction, despite some durability limitations. Lower limb prostheses showed enhancements in comfort, gait parameters, and customization, particularly in amphibious and partial foot designs. Conclusions: 3D-printed prostheses show potential to improve functional performance, patient satisfaction, fit, and implementation feasibility compared to conventional methods. However, limitations such as small sample sizes, variability in assessment tools, and limited high-quality evidence highlight the need for further research to support broader clinical adoption. Full article

According to the production process requirements of oriented silicon steel in a certain steel mill, optimization of the slag composition ratio is studied through thermodynamic calculations. The CaO-SiO₂-Al₂O₃-FeO-MgO slag system is studied using FactSage thermodynamic software (FactSage 8.1), and a slag optimization plan is proposed based on industrial experiments involving changes in the composition ratio of the slag, calculation and analysis of the melting characteristics of RH refining slag, further verification through orthogonal experiments, and observations of the slag state, temperature, and composition relationship through phase diagrams. This study provides theoretical guidance for finding a suitable slag composition ratio based on the influence of slag on dissolved aluminum in steel liquid. Research has shown that, combined with thermodynamic analysis, slag melting characteristics, component content calculations, and industrial experiments, the range of RH refining slag composition suitable for production in this steel mill is slag in the range of 1.3~1.5 alkalinity, 25~30% Al₂O₃, 5~6% MgO, and 1–2% FeO. Full article

Background: Mongolia is experiencing a rapid epidemiologic transition in which high burdens of micronutrient malnutrition, infection, and cardiometabolic disease are simultaneously prevalent. This cross-sectional study sought to understand how nutritional, lifestyle, and cardiometabolic risk factors are distributed among a population at high-risk for tuberculosis (TB), comprising household contacts (HHCs) and healthcare workers, (HCWs) in Ulaanbaatar, Mongolia, and how these factors are associated with TB infection. Methods: A total of 196 HHCs and 241 HCWs were assessed for latent TB infection (LTBI) using the QuantiFERON-TB Gold Plus (QFT-Plus) assay and for diabetes using fingerprick samples for fasting blood glucose. Participants also underwent assessments of their diet and physical activity, nicotine dependence, body mass index, and serum 25(OH)D concentration. We examined associations between assessed risk factors and LTBI using multivariate logistic regression. Results: The prevalence of LTBI was 47% for both HHCs and HCWs. A total of 54% percent of HHCs and 68% of HCWs had low physical activity levels; 63% of HHCs and 95% of HCWs were overweight or obese; 7% of HHCs and 4% of HCWs had impaired or diabetic fasting blood glucose [FBG]; and 49% of HHCs and 70% of HCWs were vitamin D deficient. In a multivariable analysis of HHCs, LTBI was independently associated with lower serum [25(OH)D], and the odds ratio (OR) was 3.18 (95% CI 1.38–7.79; p = 0.009). In contrast, the probability of LTBI did not differ significantly between vitamin D-deficient and non-deficient HCWs, and the OR was 0.89 (95% CI 0.59–1.37; p = 0.42). In a pooled analysis of HHCs and HCWs, the probability of LTBI did not significantly differ between vitamin D-deficient vs. non-deficient participants. The association between serum [25(OH)D] and LTBI among HHCs and HCWs was significantly modified by fasting blood glucose (FBG), such that a lower vitamin D status was significantly more common among those in the highest tertile of FBG than among those in the lowest tertile of FBG. Conclusions: Nutritional, lifestyle, and cardiometabolic risk factors are highly prevalent among HHCs and HCWs with TB in Ulaanbaatar, Mongolia. These findings underscore the importance of simultaneously controlling TB infection, malnutrition, and cardiometabolic risks among HHCs and HCWs to reduce the disease burden in Mongolia. Full article

Launching a new institution of higher education requires navigating complex stakeholder relationships while justifying significant public investment. The rarity of successfully launching new postsecondary institutions makes each case a valuable source of insights for higher education leaders seeking to advance institutional innovation. This case study examines how the City University of New York (CUNY) successfully founded Guttman Community College (GCC) in 2012. Using Strategic Academic Research and Development (SARD) as a conceptual framework, we analyze two distinct phases: the founding process (2007–2012) and early operational years. During the founding phase, CUNY’s planning team excavated research-based best practices from leading experts and harnessed local expertise through consultative meetings with community college presidents, administrators, and faculty from across the university. In the operational phase, GCC institutionalized continuous improvement through an advisory board, dedicated Assessment Days, the Academic Assessment & Learning Committee governance structure, and the SAGE (Systematic Approach for Guttman Effectiveness) framework. Despite recent declines following the onset of the COVID-19 pandemic, the college’s initial three-year graduation rate of 49.1% dramatically aaexceeded CUNY’s community college average of 15.9% from the same time period. This case demonstrates how systematic application of SARD principles can guide successful institutional innovation in higher education. Full article

Psychopathy in women remains understudied, particularly regarding the role of early relational experiences such as attachment. This systematic review aims to synthesize the current evidence on the association between attachment-related factors and psychopathic traits in women. A structured search following PRISMA guidelines across multidisciplinary databases (Scopus-Elsevier^®, ESBCO^®, Pubmed^®, Sage Publishing^®, B-On, and Web of Science-Core Collection^®) yielded 147 articles, of which eight met the inclusion criteria. The majority of the studies met three to four out of the five methodological quality criteria. Findings indicate that insecure attachment styles are differentially associated with psychopathy. Avoidant attachment is positively linked to callous-unemotional traits, whereas the role of anxious attachment appears more heterogeneous. Some studies associate it with higher levels of affective traits and secondary psychopathy, while others identify it as a negative predictor of callous-unemotional features in women. Avoidant attachment was also negatively correlated with empathy and positively related to maladaptive emotion regulation strategies, particularly among women with secondary psychopathic traits. Negative maternal parenting was associated with elevated psychopathic traits, whereas positive parental involvement acted as a protective factor. Additional predictors included early maladaptive schemas and childhood risk factors such as parental criminality and poor supervision. These findings highlight the relevance of early intervention and attachment-informed approaches in forensic risk assessment, trauma-informed care, and prevention programs targeting women with psychopathic traits. Full article

Background/Objectives: As global aging accelerates, there is a pressing and empirically substantiated demand for integrated and sustainable strategies, as evidenced by the rising prevalence rates of chronic conditions, social isolation, and digital exclusion among older adults worldwide. These factors underscore the urgent need for multidimensional interventions that simultaneously target physical, psychological, and social well-being. The HOPE-FIT (Hybrid Outreach Program for Exercise and Follow-up Integrated Training) model and the SAGE (Senior Active Guided Exercise) program were designed to address this need through a hybrid framework. These programs foster inclusive aging by explicitly bridging digitally underserved groups and mobility-restricted populations into mainstream health promotion systems through tailored exercise, psychosocial support, and smart-home technologies, thereby functioning as a scalable meta-model across healthcare, community, and policy domains. Methods: HOPE-FIT was developed through a formative, multi-phase process grounded in the RE-AIM framework and a Hybrid Type II effectiveness–implementation design. The program combines professional health coaching, home-based and digital exercise routines, Acceptance and Commitment Performance Training (ACPT)-based psychological strategies, and smart-home monitoring technologies. Empirical data from pilot studies, large-scale surveys (N = 1000), and in-depth user evaluations were incorporated to strengthen validity and contextual adaptation. Culturally tailored content and participatory feedback from older adults further informed ecological validity and program refinement. Implementation Strategy/Framework: The theoretical foundation integrates implementation science with behavioral and digital health. The RE-AIM framework guided reach, fidelity, and maintenance planning, while the Hybrid E–I design enabled the concurrent evaluation of effectiveness outcomes and contextual implementation strategies. Institutional partnerships with community centers, public health organizations, and welfare agencies further facilitated the translation of the model into real-world aging contexts. Dissemination Plan: The multi-pronged dissemination strategy includes international symposia, interdisciplinary academic networks, policy briefs, localized community deployment, and secure, authenticated data sharing for reproducibility. This design facilitates evidence-informed policy, empowers practitioners, and advances digital health equity. Ultimately, HOPE-FIT constitutes a scalable and inclusive model that concretely addresses health disparities and promotes active, dignified aging across systems and disciplines. Full article

Network anomaly detection is widely used in network analysis and security prevention, in which reconstruction-based approaches have achieved remarkable results. However, attributed networks exhibit highly nonlinear relationships and time dependence over time, which make the anomalies more complex and ambiguous, resulting in anomaly detection still facing challenges. To this end, this study proposes an adversarial reconstruction framework with spectral-augmented and graph joint embedding for anomaly detection (GAN-SAGE), which integrates an autoencoder (AE) based on the frequency feature enhanced graph transformer (GT) into the generator for generating adversarial networks (GAN), improving network representation through adversarial training. The first stage of the encoding process captures the frequency domain information of the input timing data through spectral-augmented, and the second stage enhances the modeling capability of spatial structure and graph interaction dependency through multi-attribute coupling and GTs. We conducted extensive experiments on AIOps, SWaT and WADI datasets, demonstrating the effectiveness of GAN-SAGE compared to the state-of-the-art method. The detection performance of GAN-SAGE, respectively, improved by an average of 9.64%, 18.73% and 19.79% in terms of F1-score across the three datasets. Full article

The terpeno-heterocyclic molecular hybrids are a new and promising class of modern organic and medicinal chemistry, because their molecules exhibit high and selective biological activity, natural origins, and good biocompatibility, and, usually, they are less toxic. The reported norlabdane-heterocyclic hybrids were synthesized by classical and new, original, and environmentally friendly methods, which include coupling reactions of norlabdane derivatives (such as carboxylic acids, acyl chlorides, or bromides) with individual heterocyclic compounds, as well as heterocyclization reactions of certain norlabdane intermediates like hydrazides, thiosemicarbazones, or hydrazinecarbothioamides. The aforementioned norlabdanes were derived from (+)-sclareolide 2, which is readily obtained from (−)-sclareol 1, a labdane-type diterpenoid extracted from the waste biomass of Clary sage (Salvia sclarea L.) that remains after essential oil extraction. All synthesized compounds were tested against various fungal strains and bacterial species, with many exhibiting significant antifungal and antibacterial activity. These findings support the potential application of the synthesized compounds in the treatment of diseases caused by fungi and bacteria. Additionally, the use of plant-based waste materials as starting resources highlights the economic and ecological value of this approach. This review summarizes experimental data on the synthesis and biological activity of norlabdane: diazine, 1,2,4-triazole and carbazole, 1,3,4-oxadiazole, 1,3,4-thiadiazole, 1,3-thiazole, 1,3-benzothiazole and 1,3-benzimidazole hybrids performed by our research group covering the period from 2013 to the present. Full article

This paper investigates functional identities in superalgebras, building on Wang’s foundational work. We study d-superfree subsets and k-supercommuting maps in prime superalgebras, both with and without superinvolution, introducing new results on symmetric and skew elements. Using SageMath, we computationally verify key properties in the finite-dimensional superalgebra $M_2\left(\mathbb{Q}\right)$, including supercommutators, superinvolutions, and k-supercommuting maps, thereby providing concrete illustrations of the abstract theory. These computations underscore the practical applicability of functional identities in finite-dimensional settings and offer fresh insights into superalgebra structures. Full article

The transformation of organic by-products derived from waste into value-added resources represents a promising strategy to advance circular economy principles and bolster environmental and agricultural sustainability, especially in soilless cultivation. This study evaluates the viability of three organic by-products—wood fiber (WF), coffee silverskin (CS), and brewer’s spent grains (BSGs)—as partial peat replacements in horticultural substrates. Ten growing media formulations were assessed, incorporating increased doses (0–40% v/v as peat replacement-PR) of each alternative by-product. The effects on physical and hydraulic substrate properties, along with plant growth traits, were examined using two ornamental Salvia genotypes, ‘Victoria’ and ‘Amistad’. To synthesize the multivariate growth data into a single, biologically meaningful metric, based on the first principal component, a Growth Index (GI), a PC1-derived index, was calculated, providing a powerful, unified metric to rank substrate efficacy. WF-based substrates exhibited increased porosity and diminished water retention, whereas media enriched with CS and BSG enhanced moisture availability, particularly at 20–40 PR. The bulk density was highest at PR40 for both WF and BSG treatments, and at PR20 in CS-based substrates. Electrical conductivity increased in CS and BSG treatments with rising PR levels. The results on the vegetative growth of ornamental sages have highlighted that differential PR rates are required depending on the specific organic by-product and plant genotype. In ‘Victoria’, GI indicates that a 20% replacement of peat with BSG provided the optimal conditions for holistic plant development; the lowest GI for WF substrates across nearly all peat replacement levels indicated that it was the most detrimental alternative for this cultivar. In ‘Amistad’, the analysis of the GI scores revealed that the CS20 and BSG20 of peat replacement yielded the highest overall growth, with GI scores significantly greater than those of the peat control. CS10 and BSG40 also showed high GI scores in ‘Amistad’. WF10 had GI scores similar to those of the peat control. In general, the GI-based approach confirms that moderate inclusion of brewer’s spent grain (BSG20) is a highly effective peat replacement for both genotypes. At the same time, coffee silverskin (CS) is particularly effective for the ‘Amistad’ genotype. This analysis underscores that optimal substrate formulation is not only dependent on the amendment type and rate but also critically on the plant genotype. Full article

Perovskia atriplicifolia Benth., a perennial aromatic plant widespread in Iran’s Sistan and Baluchestan region, is known for its essential oil composition, rich in aromatic and non-aromatic sesquiterpenes. To the best of our knowledge, limited information exists on the composition of its non-volatile extracts. Herein, the phytochemical investigation of the EtOH extract of P. atriplicifolia aerial parts was performed, guided by an analytical approach based on LC-(-)ESI/QExactive/MS/MS. This led to the identification of phenolics, flavonoids, diterpenes (mainly carnosic acid derivatives), and triterpenes. Structural elucidation was performed via NMR and HRMSMS analysis. Furthermore, considering the occurrence of diterpenes closely related to carnosic acid and carnosol, known for their antioxidant properties, the antioxidant activity of the extract (0.5–5.0 μg/mL) and selected pure compounds (0.5–25 μM; compounds 5, 7, 9, 10, 12, 16) was evaluated in Caco-2 intestinal cells, showing significant reduction in free radical levels. The quantitative results highlighted that the above cited compounds occurred in concentrations ranging from 1.73 to 520.21 mg/100 g aerial parts, with carnosol (12) exhibiting the highest concentration (520.21 mg/100 g aerial parts), followed by 1α-hydroxydemethylsalvicanol (9) (91.73 mg/100 g aerial parts) and carnosic acid (16) (88.16 mg/100 g aerial parts). Full article

During periodontitis, Porphyromonas gingivalis and its lipopolysaccharides (LPS) may translocate into the bloodstream and alter adipocyte function, aggravating obesity-related disorders. This study aimed to evaluate the inflammatory and metabolic effects of P. gingivalis in obese db/db mice, and to decipher the molecular mechanisms targeted by P. gingivalis or its LPS in 3T3-L1 adipocytes. Then, we determined the ability of three major dietary polyphenols, namely caffeic acid, quercetin and epicatechin, to protect adipocytes under LPS conditions. Results show that obese mice exposed to P. gingivalis exhibited an altered lipid profile with higher triglyceride accumulation, an enhanced pro-inflammatory response and a reduced antioxidant SOD activity in the adipose tissue. In adipose cells, P. gingivalis and LPS induced the TLR2-4/MyD88/NFκB signaling pathway, and promoted IL-6 and MCP-1 secretion. Bacterial stimuli also increased ROS levels and the expression of NOX2, NOX4 and iNOS genes, while they deregulated mRNA levels of Cu/ZnSOD, MnSOD, catalase, GPx and Nrf2. Interestingly, caffeic acid, quercetin and epicatechin protected adipose cells via antioxidant and anti-inflammatory effects. Overall, these findings show the deleterious impact of P. gingivalis on inflammation, oxidative stress and lipid metabolism in obese mice and adipose cells, and highlight the therapeutic potential of polyphenols in mitigating periodontal bacteria-mediated complications during obesity. Full article

Stirling engines are the engines that convert heat energy into mechanical work. This study models a 50 W linear generator designed for integration with a Stirling engine. To develop a model, the base design of the already developed 1 kW model was used, and its size was proportionally reduced to match the stroke of the Stirling engine. By reducing the length of the 1 kW model to a length scale factor (LSF) of 0.5, the stroke level of the engine was determined. However, the radius of the LSF 0.5 linear generator model was adjusted to match the engine. After finalizing the 50 W linear generator dimensions, the model was simulated using MAXWELL v14. software to compute output power and other electrical parameters. This study also analyzed the losses of the 50 W linear generator and its phasor diagram. Later, the output values generated using MAXWELL software were compared with the results obtained using SAGE v11. software for verification. The outcome of this study was a model that achieved an output power of 50 W with an efficiency of 90% and a generator size of 96 mm. Because of its versatility, low weight, and high efficiency, it can be used in a wide range of applications. Due to its small size, it can be utilized for empowering humanoid robots, radioisotope power, space exploration, etc. Full article

Electric arc furnace slag is a major by-product of steelmaking, yet its industrial utilization remains limited due to its complex chemical and mineralogical composition. This study presents a hydrogen-based approach to recover metallic components from EAF slag for potential reuse in steelmaking. Laboratory experiments were conducted by melting 50 g of industrial slag samples at 1600 °C and injecting hydrogen gas through a ceramic tube into the liquid slag. After cooling, both the slag and the metallic phases were analyzed for their chemical and phase compositions. Additionally, the reduction process was modeled using a combination of approaches, including the thermochemical software FactSage 8.1, models for density, surface tension, and viscosity, as well as a diffusion model. The injection of hydrogen resulted in the reduction of up to 40% of the iron oxide content in the liquid slag. In addition, the fraction of reacted hydrogen gas was calculated. Full article