Search Results (22,359)

Introduction: Aquatic chemical pollution is among the most worrying threats to ecosystem health. There is an ever-increasing variety of pollutant substances detected across the source-to-sea continuum, causing loss of biodiversity and ecological disequilibrium. Achieving cleaner and healthier systems relies on carrying out sustained, cost-effective, diagnosis and aquatic effects monitoring, within the adaptive management cycle. The available methods are, however, cumbersome, which creates a clear need for innovative expeditious approaches for low-cost surveillance monitoring. In the last decade, Raman Spectroscopy (RS) has gained wide recognition for application to biological questions, for its ability to uncover the complexity of molecules and their interactions. Various fields, from pharmacology to disease diagnosis and prognosis, have suffered an innovation revolution through the application of RS. In this technique inelastic light scattering of a small part of photons of an incident electromagnetic monochromatic light beam (ranging from near-infrared to visible or ultraviolet) is caused by the molecular vibration of chemical bonds. This results in shifts in energy, which indicate discrete vibrational modes of polarisable molecules, providing qualitative and quantitative assessments of the chemical composition and molecular structure of the sample. The technique shows high sensitivity, no need for sample preparation and the possibility of use in non-invasive and label-free analysis. Objective: The aim of this work is to present and discuss evidence about the application of Raman Spectroscopy (RS) to environmental diagnosis and aquatic effect monitoring of pollution. Methodology: The technique was applied to different biological models, i.e., diatoms, zebrafish embryos and larvae and freshwater snails. Quality assessments with diatoms were tested in environmental monitoring, while assessments with other models were done upon exposure to metals and organic contaminants. Results and conclusions: The Raman spectra obtained from the samples analysed comprised bands detected within the 800 to 2000 cm⁻¹ wavenumber range. These were related to bond vibrations of carbohydrates, DNA phosphate groups, proteins or CH, NH and OH stretching in lipids and proteins. Data analysis using chemometric methods clearly distinguished pollutant exposure from control sites or treatments, pointing out the potential for surveyance monitoring. The next steps include the comparison with other sensitive methods (e.g., locomotion and avoidance behaviours, omics methods) to assess efficiency and bring further mechanistic understanding. Full article

Diamane, a fully sp³-hybridized two-dimensional carbon allotrope, has attracted attention due to its exceptional mechanical strength, tunable electronic properties, and potential for nanoelectronic and nanomechanical applications. While most studies focus on semi-functionalized (50% surface functionalization) C₄X₂ diamane, the stability and properties of configurations with lower functional group coverage remain unexplored. Here, we propose a novel diamane structure with 25% surface functionalization, denoted as C₄X (X = H, F, OH, NH₂), crystallizing in the P6/mmm space group. Using first-principles calculations, we systematically investigate the effects of different functional groups on the electronic and mechanical properties. Our results show that the bandgap can be effectively tuned from 2.97 to 3.42 eV, with C₄F and C₄OH exhibiting wider gaps due to strong C-p and O(F)-p orbital hybridization. C₄H and C₄NH₂ possess high electron mobilities on the magnitude order of of ${10}^3$ cm² V⁻¹ s⁻¹. Mechanically, C₄H demonstrates a Young’s modulus up to 614 GPa and a shear modulus of 274 GPa, underscoring its exceptional mechanical robustness. This work uncovers a previously unexplored low-coverage diamane configuration, highlighting the crucial role of surface chemistry in modulating electronic and mechanical behavior, and provides a promising design strategy for high-performance carbon-based nanoelectronic and nanomechanical devices. Full article

The potential health hazards caused by microwave exposure have attracted increasing attention. Microwave radiation has been reported to induce oxidative stress in neural tissues, which is considered one of the primary mechanisms underlying its adverse effects on central nervous system function. The hippocampus is sensitive to microwave radiation, whereas underlying cellular and molecular mechanisms remain incompletely understood. In this study, microwave-exposed mice exhibited significantly impaired performance in the Go/No-go, Y-maze, and novel object recognition tests at 6 h and 7 days post-exposure, indicating deficits in hippocampus-dependent working memory. Single-cell RNA sequencing of hippocampal tissues from control and microwave-exposed mice yielded 94,088 high-quality cells across eight major cell types. Astrocyte sub-clustering identified five transcriptionally distinct subpopulations, with Astrocyte_S100a6 and Astrocyte_Son proportions increased and Astrocyte_Serpinf1 decreased in the radiation group. Analysis of astrocyte transcriptional state transitions showed microwave-exposed astrocytes were preferentially distributed toward terminal reactive states with depletion at early homeostatic nodes. Cell–cell communication analysis revealed increased total interactions and interaction strength following radiation. Astrocyte outgoing signaling was increased for pathways associated with vascular remodeling, phagocytic regulation, and neuroinflammation, while pathways related to trophic support were decreased. Incoming signaling showed increased activity in pathways linked to phagocytic recruitment and inflammatory mediation. Taken together, these findings indicate that microwave exposure is associated with hippocampus-dependent working memory deficits accompanied by transcriptional remodeling of astrocyte subpopulation composition, directional astrocyte state transitions toward reactive phenotypes, and broad alterations in astrocyte-centered intercellular communication, providing a cellular and molecular framework for understanding astrocyte involvement in microwave radiation-associated hippocampal dysfunction. Full article

Existing AISI S100 provisions for cold-formed steel (CFS) screw connections lack codified strength equations for screw shear and net section fracture, and traditional machine learning (ML) models struggle to predict these minority failure modes due to imbalanced experimental datasets. This study proposes a cascaded ML framework that first classifies the failure mode and then predicts strength using mode-specific regressors. Two cascade strategies are evaluated: a Hard Classification Cascade (HC-C) and a novel Probability-Weighted Cascade (PW-C) that weights predictions by class probabilities to mitigate error propagation from misclassification. The predictive performance of the two cascaded models is benchmarked against a single regressor without classification. The superior PW-C model is then compared with AISI S100, and its resistance factor ϕ is subsequently calibrated in accordance with LRFD. Results show that the proposed cascaded models outperform the direct regression model, with PW-C improving the R² for minority-class screw shear from 0.765 to 0.933 and for net section fracture from 0.784 to 0.912. Compared with AISI S100 provisions, PW-C extends coverage to the currently unaddressed failure modes and effectively captures screw group effects on shear strength based on a database of 564 tests. Reliability analysis yields an overall ϕ_c of 0.64 for the PW-C model, with a recommended divisor of 1.15 for direct application within the AISI design framework. This work provides a practical, data-driven pathway for updating design codes to cover failure modes beyond current specification limits. Full article

Background/Objectives: Higher education requires students to communicate in complex academic and social contexts, including oral presentations, group work, help-seeking, assessment, and peer interaction. For students with developmental communication disorders, and communication-related developmental profiles, these demands may create hidden participation vulnerabilities that affect mental health, academic engagement, and belonging. This scoping review mapped empirical evidence among tertiary students, focusing on mental health, academic participation, social belonging, institutional support, and contextual influences. Methods: A scoping review was conducted in accordance with PRISMA-ScR guidance. Five databases, PubMed, PsycINFO, CINAHL, Scopus, and Web of Science, were searched for English-language, peer-reviewed empirical studies published from 2000 onwards. Eligible studies involved university, college, or tertiary students with developmental speech, language, fluency, pragmatic communication, or communication-related developmental profiles, who reported at least one mental health, academic, or social participation outcome. Data were charted and synthesised thematically, with methodological quality appraised using CASP-informed criteria. Results: Twenty-one studies were included. Evidence was strongest for stuttering and fluency-related participation, while research on developmental language disorder, speech sound disorder, pragmatic language impairment, cluttering, and mixed communication profiles was limited. Across studies, communication needs intersected with anxiety, depression, stress, self-efficacy, oral assessment, help-seeking, disclosure, stigma, accommodation access, and belonging. Key limitations included reliance on self-report, cross-sectional or retrospective designs, inconsistent diagnostic confirmation, and limited evidence for intervention. Conclusions: The available evidence suggests that developmental communication disorders and communication-related developmental profiles can function as hidden participation vulnerabilities in higher education. These vulnerabilities are shaped by students’ communication profiles and by communication-intensive university environments. Universities may therefore need communication-accessible teaching, flexible assessment, visible support pathways, and coordinated support across disability services, counselling, academic support, and speech–language pathology. Full article

Background/Objectives: Clinical studies of prostate cancer treated with radically hypofractionated high-dose-rate brachytherapy (HDR-BT) have reported a significant loss of tumor control that contradicts the standard linear-quadratic (LQ) and low-$\alpha /\beta$-ratio paradigm for prostate cancer. In a previous study by our group, we showed that the linear–quadratic–linear (LQL) model could describe this response, but the underlying biological drivers remained unclear. In this follow-up study, we further investigate whether the interplay between hypoxia and reoxygenation kinetics can explain the poor response to extreme hypofractionation. Methods: We analyzed a large dataset of 3239 patients (44 schedules) using a three-compartment reoxygenation model (the MSK model) that simulates the dynamics of oxic, intermediate, and hypoxic cell populations. Results: The results show that the MSK model achieves an excellent fit to the clinical data ($p>0.99$) while maintaining a biologically plausible low $\alpha /\beta$ ratio (≤8 Gy). The reoxygenation model provided a performance comparable to the LQL model for low-risk prostate cancer and slightly inferior for intermediate-risk. Conclusions: This suggests that the observed reduction in tumor control may not necessarily be a failure of the LQ formalism but, rather, a consequence of oxygen dynamics associated with ultra-hypofractionated schedules. Nonetheless, neither this nor our previous work can provide insight into the driving mechanism and should only be interpreted as showing that both hypotheses are compatible with the clinical data. Full article

Concussions exert a massive cost on our economic and healthcare systems. Many of the most commonly employed neurocognitive measures in concussion assessment have been shown to be psychometrically problematic. Additionally, norms are established from largely male populations. The present study investigates the use of a validated and reliable measure of concussion sequelae, the mobile half-version of the Connors Continuous Performance Test 3rd Edition (CCPT-3), on a representative population to study the influence of sex and age on normative values collected at baseline. Baseline data were analyzed from 71,976 participants across a wide range of academic and athletic contexts, as well as healthcare settings. Multiple regressions examined the influence of sex as a function of age in different developmental groups: children, adolescents, young adults, adults, and older adults. Sex effects emerged during childhood, peaked during adolescence, and decreased in adulthood. Females showed better accuracy (fewer commission and omission errors), whereas males had faster response speeds (hit-rate RT). Effect sizes were generally in the small to very small range (sex effect sizes ranged from Cohen’s d = 0.02 to 0.39). The findings highlight the importance of accounting for sex and age in cognitive test performance and underscore the impact of correcting for even small effects when working with large samples. Full article

The expansion of remote work has transformed labour market conditions across the developed world, yet access to home-based work remains unequally distributed along occupational, sectoral, regional, and organisational lines. Post-pandemic evidence on the persistence of these inequalities is particularly scarce in Central and Eastern European economies, where historically low remote work prevalence, manufacturing-intensive industrial structures, and pronounced regional disparities create a distinctive structural context. Drawing on primary survey data collected from 390 employees in Slovakia in 2025, this study pursues two interrelated empirical goals: to identify the factors predicting a mismatch between the structural feasibility of working from home and its actual availability to employees, and to examine the determinants of experienced work discomfort. Binary logistic regression, multiple linear regression, and a battery of group difference tests were employed across the two analytical strands. The results reveal a pronounced capital–periphery gradient in remote work access, with employees outside the capital city facing dramatically higher odds of mismatch, and identify organisational support as the most practically actionable determinant of work discomfort. Notably, experiencing a mismatch between remote work feasibility and access was not associated with higher discomfort, a finding that challenges assumptions common in the Western European literature and points to the moderating role of contextual expectations in post-communist labour markets. The findings offer directly applicable evidence for employers seeking to reduce work-related strain through targeted support measures, and for policymakers designing regulatory frameworks to promote equitable access to flexible work arrangements across regions and sectors. Full article

The redox behavior of nickel complexes with sulfur-containing ligands remains of considerable interest due to their significant value in coordination chemistry, catalysis, and bioorganic modeling. In this context, it is important to investigate how aqueous media and acid–base equilibria influence the stability and transformation pathways of such complexes. In this work, the electrochemical behavior of nickel complexes with phosphorylated dithiocarbamate was studied using cyclic voltammetry at various scan rates and pH values. Compared to similar systems in organic solvents, the complexes exhibited additional oxidation and reduction signals, indicating coupled chemical steps. The pH dependence of these peaks confirmed the role of hydroxo groups in the oxidation processes. Varying the scan rate revealed competition between ligand exchange pathways. At low and moderate scan rates, tris-dithiocarbamate nickel(III/IV) complexes are formed, whereas at higher scan rates, hydroxo-containing compounds make a greater contribution. Based on the experimental results and standard redox potentials derived from quantum chemical calculation data, a general scheme for the resulting electrochemical processes was proposed. The results demonstrate the key role of aqueous media and pH in regulating the redox process of nickel complexes with phosphorylated dithiocarbamate. Full article

Violence against women and intimate partner violence in particular are recognized as significant social issues. This article explores the dynamic interplay between intimate partner violence, public opinion, and legislative changes in Bulgaria. The data we used were collected through in-depth interviews and focus groups with professionals working on issues of domestic violence and violence against women in Bulgaria. Using a specific case of violence as an example, the study argues that public pressure is a catalyst for changes in the legal framework for protection against domestic violence. However, the findings suggest a propensity for certain measures to be influenced by penal populism, often taking on the characteristics of symbolic policymaking—declaring political commitment, but showing vulnerabilities in their practical application. In this context, the perspective of policy implementation and unintended consequences reveals how gaps in institutional capacity, coordination, and enforcement produced outcomes that differed from those declared publicly. The article concludes that an integrated approach going beyond penal populism and symbolic policy demonstrations is necessary. To effectively combat domestic and intimate partner violence in Bulgaria, there is a need for a long-term strategy that considers the intricate relationships between public attitudes, policymaking, and the actual implementation of legislation. Full article

Background/Objectives: The rising prevalence of multimorbid and complex chronically ill young and middle-aged adults necessitates the implementation of innovative care models and the creation of roles that can meet the complex healthcare needs of this patient group. Advanced Practice Nurses (APNs) can play a crucial role in the care of multimorbid and complex chronically ill young and middle-aged adults in APN-led clinics; however, in Switzerland, these roles are still evolving. The aim of this study was to explore APNs’ perspectives on the planned development of their roles in an APN-led clinic. Methods: To gain insights into the experiences of APNs in caring for this patient group, a qualitative study design was chosen. Data were collected through interviews with APNs from Switzerland, the USA, and Canada. In total, 19 APNs (12 from Switzerland and 7 from the United States and Canada) participated in the study. The data were collected through semi-structured online interviews. These data were analyzed using reflective thematic analysis in accordance with the approach presented by Braun and Clarke. Results: The analysis identified 10 themes that describe the competencies, components, and framework conditions required for the work of APNs in an APN-led clinic for multimorbid and complex chronically ill young and middle-aged adults within the Swiss clinical context. Required competencies include direct clinical practice, guidance and coaching, collaboration, and psychosocial support. Essential components include person-centered care, transitional care, and continuity of care. Key framework conditions include regulations of the legal and regulatory framework and eligibility for reimbursement of services, resources, and extended competencies and scope of practice. Conclusions: The perspectives of the APNs involved in this study show that multimorbid and complexly chronically ill young and middle-aged adults require complex and long-term care that extends beyond the hospital setting. The findings of this study show that Swiss APNs may be well positioned to contribute to this role. Full article

The quality of rice grain impacts milling yield, market acceptance, and product value. Physical quality is determined by many traits, such as chalkiness, whiteness, vitreous whiteness, caryopsis length, and width. Breeding for these traits is challenging due to their quantitative nature, environmental effects, and time and labor requirements to evaluate these traits. The digital grain analyzer (S21) equipment determines rice grain physical quality by image-based analysis; however, its use remains restricted. Thus, here we aimed to evaluate S21 efficiency to determine the physical quality of rice grains and estimate the genetic diversity of the trait using a Brazilian panel of 152 irrigated rice genotypes as a working model. We accessed total whiteness, vitreous whiteness, chalkiness degree, chalky grain rate, white belly, grain length, width, and length/width ratio. Our results demonstrated that S21 allowed the characterization of the genotypes according to physical traits, facilitating grouping and separation of accessions and correlation analyses between quality traits. It was also possible to estimate the heritability of quality traits. S21 was efficient in characterizing the physical quality of rice grains and determining their genetic diversity. The equipment is an effective tool exhibiting potential application by breeder programs. Full article

Threshold Attribute-based Encryption has attracted significant attention due to its growing importance in practical applications, such as distributed cloud storage or anonymous access control. In a threshold attribute-based encryption scheme, a sender can select a set of attributes and a corresponding threshold t, which is referred to as an access policy, to encrypt a message. Decryption is successful if and only if a user possesses at least t attributes from the specified attribute set. Existing threshold attribute-based encryption schemes typically consider only the setting in which a single message is encrypted under a single access policy. However, in many practical applications, more flexible encryption scenarios are needed, such as encrypting a single message under multiple access policies or encrypting multiple messages under their corresponding access policies. In this work, we first formalize the notion of threshold attribute-based encryption supporting the encryption of multiple messages under multiple access policies. We then propose the first construction of a threshold attribute-based encryption scheme based on the Key Encapsulation Mechanism paradigm that supports such functionality while achieving constant-size ciphertext. Our proposed scheme relies on bilinear pairings and is proven secure in the Generic Bilinear Group Model. As a classical pairing-based construction, it does not provide post-quantum security and is therefore unsuitable for scenarios requiring long-term confidentiality or resilience against harvest-now, decrypt-later attacks. Full article

Within the Veteran’s Health Administration (VHA), peer support specialists (PSSs) have traditionally worked in mental health and behavioral health settings. PSS-facilitated cancer support groups are less common and underused in this setting. The purpose of this study was to understand the acceptability, feasibility, and perceived benefits of a PSS-facilitated peer support group for women veterans with breast cancer. Semi-structured interviews were conducted among veteran participants and health system leaders (HSLs) and were recorded, transcribed, and analyzed using rapid qualitative analysis. Key findings from interviews with veterans and HSLs emerged across several domains: The value of shared experiences, peer status and “matching”, virtual aspect, group structure, beneficial topics, and desired outcomes. Veteran participants greatly valued the ability to share experiences and connect with other women veterans with breast cancer and shared a desire for the facilitator to be a peer with an overlapping shared lived experience as they described benefits from peer interactions including supportive coping and instrumental coping. Veterans also reflected on the acceptability of the group being virtual, and uncovered attitudes and preferences regarding group structure, beneficial topics, and desired outcomes. HSLs noted that target outcomes might be linked to feeling connected with community and having an increased feeling of support. Findings suggest that cancer support groups, unlike more traditional mental health support groups at the VHA, may require greater specificity regarding programmatic content and PSS-cancer-experience-matching for group experience to feel authentic and meaningful. Full article

Infrared small target detection (ISTD) has been a critical technology in various civilian and industrial applications over the past several decades, such as civilian patrol missions aboard UAVs or shipboard systems, and industrial inspection tasks like factory defect scanning. Nevertheless, moving infrared small target detection still faces considerable challenges: existing models suffer from insufficient spatio-temporal semantic correlation and are not lightweight-friendly, while algorithms that perform reliably across diverse scenarios are in great demand for real-world applications. To address these issues, we propose FeedbackSTS-Det, a sparse-frames-based spatio-temporal semantic feedback network. A closed-loop spatio-temporal semantic feedback strategy with paired forward and backward refinement modules that work cooperatively across the encoder and decoder is adopted to enhance information exchange between consecutive frames, effectively improving detection accuracy and reducing false alarms. Moreover, we introduce an embedded sparse semantic module (SSM), which operates by strategically grouping frames by interval, propagating semantics within each group, and reassembling the sequence to efficiently capture long-range temporal dependencies with low computational overhead. Extensive experiments on many widely adopted multi-frame infrared small target datasets demonstrate the consistent effectiveness of our proposed network across diverse scenes. Full article