Search Results (7,164)

The Sexual Intent Perceptions Questionnaire (SIP-Q) is a 25-item instrument designed to measure interpretations of women’s sexual willingness communicated via various behaviors. The instrument demonstrates high internal consistency using a 7-point Likert-type scale. Applications of the SIP-Q include assessing observers’ tendency to overperceive women’s sexual interest, testing the effects of drive states such as sexual arousal and feelings of power on ratings of women’s sexual interest, and exploring how variables such as physical attractiveness and actor–observer positionality may be associated with sexual perceptions. Studies employing the SIP-Q revealed that sexual arousal tends to increase ratings of sexual willingness, particularly among single men, and that women’s physical attractiveness can enhance these perceptions, especially when the man himself is the recipient of the woman’s behavior. The instrument is beneficial for examining sources of sexual miscommunication. Full article

The increasing recognition within the infrastructure sector of the transformative potential of 3D point cloud data for civil structure management has prompted a growing interest. However, the inherent complexity of these data poses significant challenges. With the expanding accessibility to point cloud data and the rising demand for robust infrastructure management, the strategic application of deep learning becomes opportune. Deep learning models exhibit promise in various tasks, including object visualization, anomaly detection, element classification, and component segmentation. Addressing a notable research gap between point cloud technology and its allied fields, this review provides a comprehensive overview of deep learning models specifically tailored for Civil Infrastructure Management. Commencing with an exploration of the core principles underlying foundational models such as CNN, GNN, PointNet, and ResNet, the discussion progresses to advanced architectures, including DGCNN and ResPointNet++. Through a comparative analysis, this review delineates pathways for advancing deep learning models, with a particular emphasis on integrating domain knowledge and streamlining architectural designs. The findings contribute valuable insights aimed at developing more effective approaches for leveraging deep learning in point cloud-based infrastructure management, aligning with the dynamic demands of the industry. This paper centers on the strategic utilization of deep learning to address complex infrastructure challenges, providing insights that are indispensable for staying aligned with the evolving landscape of the industry. Full article

Rapid urbanization and industrialization have significantly reshaped rural landscapes in metropolitan fringe areas, resulting in “hybridized” characteristics. This study establishes an analytical framework to systematically characterize hybrid rural landscapes, diagnose specific local issues, reveal their spatial differentiation patterns and driving mechanisms, and propose targeted governance strategies. Taking 124 rural units in Baoshan District, Shanghai as a case, multi-source data from the latest available years (2020–2023) were compiled as a cross-sectional snapshot, and a comprehensive indicator system integrating landscape pattern (P), social function (F), and spatial vitality (V) was developed. Utilizing multi-source geospatial data—including land-use maps, points of interest, and mobile signaling data—Gaussian Mixture Models were applied to classify typical hybrid landscape types. Spatial evolution processes and underlying driving forces were further interpreted through remote sensing imagery analysis, field investigations, and policy document reviews. Eleven distinctive hybrid rural landscape types (HTs) were characterized, forming a spatial gradient from urban to rural, encompassing “high-density urbanized” → “ecologically embedded” → “production–living integrated” → “traditional rural landscapes”. Additionally, five representative evolutionary patterns—“urban restructuring”, “ecological orientation”, “industrial-driven transition”, “transitional hybridization”, and “traditional preservation”—were identified, shaped by spatial configuration, planning policies, industrial investments, and demographic dynamics. The framework enhances understanding of the complexity and evolutionary dynamics of rural landscapes, providing theoretical insights and practical guidance for effective typological governance and targeted policy interventions. Full article

Background/Objectives: Methicillin-resistant Staphylococcus aureus (MRSA) continues to pose a significant challenge for infection prevention, particularly because of its ability to persist on surfaces and form resilient biofilms. Although bacteriophages have attracted renewed interest as alternatives or complements to chemical disinfectants, their applied use requires careful assessment of antimicrobial performance, formulation tolerance, and genomic context. Methods: Staphylococcus-infecting bacteriophages were isolated from environmental sources and examined against reference Staphylococcus isolates. Two phage isolates, designated MRSA-W3 and SA-W2, displayed lytic activity against a broad subset of clinical MRSA strains. Using a time-resolved agar-based infection assay, phage exposure resulted in a multiplicity-of-infection-dependent decline in viable MRSA populations. Results: Time-resolved infection assays revealed a multiplicity-of-infection-dependent reduction in viable MRSA, with a pronounced decrease observed approximately 40 min post-infection. At this time point, phage-treated cultures showed a reduction of 1.2–1.8 log₁₀ CFU/mL relative to untreated controls (mean Δlog₁₀ = 1.5; 95% CI, 1.1–1.9), while control cultures remained stable. Quantitative biofilm assays demonstrated that both phages reduced biofilm biomass compared with untreated conditions, with inhibition values ranging from 20% to 45% across isolates (p ≤ 0.05), reflecting strain-dependent but reproducible effects. Assessment of formulation compatibility indicated that both phages retained infectivity following exposure to sodium dodecyl sulfate, Triton X-100, and Tween 80, whereas ethanol (≥10%) and higher concentrations of dimethyl sulfoxide were associated with rapid loss of activity. In surface disinfection models, selected phage–surfactant formulations achieved a maximum reduction of 2.18 log₁₀ CFU/cm² compared with untreated controls (p ≤ 0.05). Infection-coupled whole-genome sequencing of MRSA-infecting phage MRSA-W3 produced a high-quality assembly (99.99% completeness; 0.13% contamination) and revealed a mosaic genome containing incomplete prophage-like regions, which were interpreted conservatively as evidence of shared phage ancestry rather than active temperate behavior. Conclusions: Therefore, these findings suggest that bacteriophage-based approaches may be feasible for MRSA surface decontamination, while clearly emphasizing the need for context-specific validation before practical implementation. Full article

Terpyridines are well-known ligands in coordination chemistry, are valued for their conformational flexibility and strong metal-binding properties, and are also of interest as fluorophores. This study focused on the synthesis and comprehensive investigation of a new class of bis-oxazolo[5,4-b]pyridine derivatives, designed based on their structural similarity to terpyridines. Four novel compounds, 4a–d, were synthesized by cyclization of amide derivatives of 3-aminopyridin-2(1H)-ones using pyridine-2,6-dicarboxylic acid and its dichloride as key acidic components. Their structures and purity were confirmed by melting point analysis, high-resolution mass spectrometry, and ¹H, ¹³C NMR spectroscopy. Compounds 4a–c exhibit UV absorption at 323–357 nm and intense blue to deep-blue fluorescence (357–474 nm, цi ≈ 0.32–0.84) in chloroform, dichloromethane, and acetonitrile, attributed to p–p* transitions within the conjugated ring system. These findings suggest their potential as phosphors for organic electronics. Computational modeling of 4a–c molecules provided insight into their electronic structures, conformational stability, and predicted optical behavior. The most stable conformers (4a–II, 4b–II, 4c–II′) exhibited a progressive decrease in the HOMO–LUMO gap from 4a to 4c, correlated with the enhancement of photoactivity. Among them, compound 4a stands out as the most promising luminophore, displaying the most intense and narrow luminescence band, owing to its high molecular symmetry and stable emission characteristics. Overall, this study lays the foundation for future studies of bis(oxazolo[5,4-b]pyridine) derivatives in coordination chemistry and optoelectronic materials development. Full article

The rapid digitization of library resources has intensified the need for robust digital-rights management (DRM) mechanisms to safeguard copyright, control access, and preserve user privacy. Conventional DRM approaches are often centralized, prone to single-point-of-failure, and are limited in transparency and interoperability. To address these challenges, this article puts forward a decentralized DRM framework for library systems by leveraging blockchain technology and decentralized DRM-key mechanisms. An integrative review of the available research literature provides an analysis of current blockchain-based DRM library systems, their limitations, and associated challenges. To address these issues, a controlled experiment is set up to implement and evaluate a possible solution. In the proposed model, digital content is encrypted and stored in the Inter-Planetary File System (IPFS), while blockchain smart contracts manage the generation, distribution, and validation of DRM-keys that regulate user-access rights. This approach ensures immutability, transparency, and fine-grained access control without reliance on centralized authorities. Security is enhanced through cryptographic techniques for authentication. The model not only mitigates issues of piracy, unauthorized redistribution, and vendor lock-in, but also provides a scalable and interoperable solution for modern digital libraries. The findings demonstrate how blockchain-enabled DRM-keys can enhance trust, accountability, and efficiency through the development of secure, decentralized, and user-centric digital library systems, which will be of interest to practitioners charged with library IT technology management and to researchers in the wider field of blockchain applications in organizations. Full article

Background and Objectives: Rapid physiological decline in terminal cancer is frequently accompanied by accelerated skeletal muscle loss. Although bedside ultrasonography (US) is practical and feasible in palliative care settings, the prognostic relevance of short-term muscle change remains unclear. This study aimed to evaluate whether the rate of muscle loss over a 10-day period, assessed by serial ultrasound, is associated with survival duration in terminally ill cancer patients. Materials and Methods: This single-center retrospective cohort study included 87 inpatients with end-stage cancer who underwent bedside ultrasound measurements of the biceps brachii (BB) and rectus femoris (RF). Baseline US was performed within the first three days of admission, followed by a repeat assessment 10 days after baseline (day-10 follow-up ultrasound). Muscle thickness (MT) measurements were normalized by height squared (m²), and 10-day changes were calculated as delta (Δ) indices, defined as baseline minus day-10 values. Because the exposure of interest (Δ) can only be determined after completion of the day-10 assessment, survival timing analyses were anchored to this prespecified landmark. Survival duration was defined as the number of days from the day-10 follow-up ultrasound to death among patients who died within one year. Associations between muscle changes and survival duration were evaluated using correlation analyses and multivariable linear regression adjusted for age, sex, body mass index, Eastern Cooperative Oncology Group (ECOG) performance status, and nutritional risk. The primary analyses focused on survival timing among decedents. Results: Significant muscle loss was observed over the 10-day interval between baseline and 10 days after baseline. Among the 58 patients who died within one year, greater short-term biceps muscle loss, reflected by higher Δ BB muscle thickness index (Δ BB MT-I), was moderately associated with shorter survival duration (r = −0.437, p = 0.0006). In multivariable linear regression analysis, Δ BB MT-I remained independently associated with survival duration (β = −701.19; 95% CI: −1102 to −301; p = 0.0006), whereas RF muscle changes and baseline clinical variables were not statistically significant. Conclusions: Short-term biceps muscle loss assessed by serial ultrasound, as reflected by Δ BB MT-I, is associated with shorter survival duration in terminally ill cancer patients. These findings suggest that dynamic muscle changes, rather than single-time-point measurements, may provide clinically meaningful insight into short-term survival timing. Serial bedside muscle ultrasound may serve as a low-burden adjunct for prognostic communication in palliative care, although prospective time-to-event studies are required for validation. Full article

China’s age structure is undergoing profound demographic shifts, making accurate spatial information on age-stratified populations essential for policy-making, resource allocation, and risk assessment. However, census data are primarily aggregated by administrative units, offering coarse spatial resolution that constrains their integration and application with other gridded datasets. Using township-level population counts for four age groups (0–14, 15–59, 60–64, and ≥65 years) from the 2020 Seventh National Population Census across 38,572 townships, we developed an age-stratified downscaling framework. This framework integrates a random forest model with age-filtered Points of Interest (POI) data and other multi-source geospatial covariates to generate a 100 m resolution age-stratified population density weighting layer. Through township-level data dasymetric mapping, we produced the township-based 100 m Age-Stratified Population Grid Data (Township-ASPOP). Since township-level data represent the finest publicly available spatial unit of demographic statistics in China, we further validated the accuracy of Township-ASPOP by generating County-based 100 m Age-Stratified Population Grid Data (County-ASPOP) through dasymetric mapping using county-level age-stratified population data. The results demonstrate that County-ASPOP achieves superior predictive accuracy, with R² values of 0.95, 0.95, 0.85, and 0.86, and Root Mean Square Error (RMSE) values of 1743, 6829, 900, and 2033 persons per township for the four age groups, respectively—significantly outperforming the contemporaneous WorldPop dataset (R² = 0.69, 0.72, 0.64, and 0.60). The accuracy of Township-ASPOP is no less than that of County-ASPOP and effectively captures realistic spatial settlement patterns. This study establishes a reproducible framework for generating age-stratified population grid data and provides critical data support for policy formulation and resource allocation. Full article

We report on the non-contact characterization of various plate materials (including aluminum and steel) using a high-pressure, micrometer-scale air jet as a broadband ultrasound source and an optomechanical microphone as a receiver. Through-plate transmission spectra are dominated by zero-group-velocity (ZGV) Lamb modes. We attribute this to the ‘point-like’ nature of both the source and receiver, since ZGV modes are spatially localized and comprise a range of non-normal wave numbers. As is well known, the properties of the ZGV modes, including their frequency and amplitude, are sensitive to thickness variations or the presence of defects. The continuous nature and high acoustic power of the gas jet source enabled us to perform uninterrupted scanning of non-uniform steel plates. Given the ubiquitous and low-cost nature of compressed air systems, our approach might be of interest for the rapid inspection of industrial parts. Full article

Background/Objectives: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by differences in social communications and restricted, repetitive patterns of behaviors and interests, affecting approximately 1% of children globally. While functional magnetic resonance imaging (fMRI) has provided insights into altered brain connectivity patterns in ASD, classification based on neuroimaging remains a challenging due to the heterogeneity of the disorder and variability in imaging data across sites. This study employs a network-based approach using large-scale, multi-site rs-fMRI dataset from the Autism Brain Imaging Data Exchange (ABIDE I and II) to classify ASD and healthy controls using machine learning. Methods: A semi-blind Independent Component Analysis method, specifically the spatial constraint reference ICA, is applied to identify functional brain networks, and the ComBat harmonization technique is used to address site-specific variability across 11 independent datasets, ensuring consistency in feature representation. Support Vector Machines (SVMs) are employed for classification, focusing on three key networks: the Default Mode Network (DMN), Sensorimotor Network (SMN), and Visual Sensory Network (VSN). Results: The results demonstrate high classification accuracy, with the VSN achieving the highest performance (83.23% accuracy, 87.90% AUC), followed by the DMN (81.43% accuracy, 84.53% AUC) and the SMN (80.52% accuracy, 84.96% AUC), positioned with their recognized roles in social cognition and sensory–motor processing, respectively. Conclusions: The integration of ICA-based feature extraction with ComBat harmonization significantly improved classification accuracy compared to previous studies. These findings point out the potential of network-based approaches in ASD classification and point out the importance of integrating multi-site neuroimaging data for identifying reproduceable network-level features. Full article

Background/Objectives: There are multiple decision nodes, during and after subtotal colectomy for ulcerative colitis (UC), regarding the management of the rectal stump. Intra-operatively, the surgeon must decide on the closure technique and positioning of the retained stump, while post-operatively, clinicians often face the challenge of managing diversion proctitis, as well as determining an appropriate endoscopic surveillance strategy, given the increased risk of cancer. This narrative review aims to summarise the evidence relating to these key decision points in rectal stump management. Methods: A narrative review of the literature was performed. Relevant studies were identified through a search of Ovid Medline and Embase. Inclusion criteria were adult population and diagnosis of UC. Cohort studies, review articles, and guidelines were eligible for inclusion. The references were grouped according to the subject of interest and reported accordingly. Results: Intra-peritoneal closure has been shown to have higher pelvic sepsis rates (5–25%), whereas subcutaneous placement results in higher rates of wound infections (up to 15%). A mucous fistula has been shown to have the lowest overall complication rate. Microscopic findings compatible with diversion proctitis develop in most patients, with incidence ranging from 71.4% to 100%. However, only a minority of these patients (30–40%) develop symptoms. Suggested treatments for diversion proctitis include topical mesalamine, corticosteroids, or short-chain fatty acids. The overall risk of rectal stump neoplasia in patients with UC after subtotal colectomy is as low as 0.7%, with prior colorectal neoplasia being a major risk factor. No universal standardised guidance exists regarding endoscopic surveillance in this patient population. Conclusions: This narrative review has appraised the latest evidence on three crucial stages of rectal stump management in UC. There is still uncertainty about the optimal surgical management of the stump, with different complication profiles. Medical management of diversion proctitis remains a major unmet need, and there are no randomised trials addressing this issue. There are no universally accepted guidelines on endoscopic surveillance of the rectal stump. Full article

(1) Background: Under the dual pressures of global climate change and rapid urbanization, blue–green infrastructure as a nature-based solution is crucial for enhancing urban sustainability. However, there is still a significant cognitive gap regarding the synergy mechanism between its blue and green components and its nonlinear combined impact on sustainability. (2) Method: To fill this gap, this study takes Zhenjiang, a national sponge pilot city in China, as a case and constructs a comprehensive assessment framework. The framework combines multi-source spatio-temporal big data (remote sensing images, point of interest data, mobile phone signaling data) with spatial analysis techniques (geodetectors, Getis-Ord Gi*) to quantify the synergistic effects of blue–green infrastructure on environmental, economic, and social sustainability. (3) Results: The main findings include the following: (1) urban sustainability presents a spatial differentiation pattern of “high in the center, low in the periphery, and multi-core”, and there is a significant positive spatial correlation with the distribution of blue–green infrastructure. (2) The economic dimension, especially daytime population vitality, contributes the most to overall sustainability. (3) Crucially, the co-configuration of sponge facility density and park facility density was identified as the most influential driving mechanism (q = 0.698). In addition, the interaction between the blue infrastructure and the green sponge facilities showed obvious nonlinear enhancement characteristics. Based on spatial matching analysis, the study area was divided into three priority intervention zones: high, medium, and low. (4) Conclusions: This study confirms that it is crucial to view blue–green infrastructure as an interrelated collaborative system. The findings deepen the theoretical understanding of the synergistic empowerment mechanism of blue–green infrastructure and provide scientifically based and actionable policy support for the precise planning of ecological spaces in high-density urbanized areas. Full article

Signal intersections are key nodes in urban road traffic networks, and real-time queue length information serves as a core performance indicator for formulating effective signal management schemes in modern adaptive traffic signal control systems, thereby enhancing traffic efficiency. In this study, a roadside Light Detection and Ranging (LiDAR) sensor is employed to acquire 3D point cloud data of vehicles in the road space, which acts as an important method for queue length detection. However, during queue-length detection, vehicles in different lanes are prone to occlusion because of the straight-line propagation of laser beams. This paper proposes a queue-length detection method based on variations in vehicle point cloud features to address the occlusion of queue-end vehicles during detection. This method first preprocesses LiDAR point cloud data (including region-of-interest extraction, ground-point filtering, point cloud clustering, object association, and lane recognition) to detect real-time queue lengths across multiple lanes. Subsequently, the occlusion problem is categorized into complete occulusion and partial occlusion, and corresponding processing is performed to correct the detection results. The performance of the proposed queue length detection method was validated through experiments that collected real-world data from three urban road intersections in Suzhou. The results indicate that this method’s average accuracy can reach 99.3%. Furthermore, the effectiveness of the proposed occlusion handling method has been validated through experiments. Full article

Background/Objectives: Point-of-care ultrasound (POCUS) is an accessible and low-cost diagnostic tool that is seldom used by orthopedic residents. This study aims to assess the efficacy of a POCUS training program within an orthopedic surgery residency curriculum in terms of knowledge retention and clinical usage among the group of residents. Methods: This study included didactic and hands-on teaching sessions. The impact of the teaching sessions was evaluated through surveys (pre-course, immediate post-course, and 6 months post-course). The surveys were divided into three sections: participant’s interest in and usage of POCUS, ultrasound-related knowledge, and perceived limitations related to the usage of ultrasound. All orthopedic residents who attended the teaching sessions and completed all the surveys were included. Results: There were 14 participants. There was a significant increase in interest in POCUS (scale 1 to 5) from 3.36 ± 0.50 in the pre-course survey to 3.93 ± 0.83 in the final post-course survey (p = 0.04). However, there was no significant change in the amount of POCUS usage in clinical settings. Levels of comfort with ultrasound-related procedures significantly increased immediately following the teaching session but did not stay significantly higher after 6 months. When tested on knowledge, the residents’ scores were still significantly greater than they were at the time of the pre-course test at 6 months (p = 0.01). Lack of ultrasound-related knowledge, lack of time, and site culture were the two most prevalent perceived barriers. Conclusions: This study demonstrates that POCUS teaching for orthopedic residents yields long-term benefits in terms of interest and knowledge. However, recurrent teaching sessions and further efforts are required to address perceived obstacles to PoCUS usage and increase clinical implementation. Full article

Imidazole is, from a structural point of view, a heterocycle consisting of three C atoms and two N atoms, belonging to the class of diazoles, having two N atoms at the first and third positions in the aromatic ring. Being a polar and ionizable aromatic compound, it has the role of improving the pharmacological properties of lead molecules, thus being used to optimize their solubility and bioavailability. Imidazole is a constituent of many important biological compounds, like histidine, histamine, and purine compounds, the most widespread heterocyclic compound in nature. In current practice, substituted imidazole derivatives play a major role in antifungal, antibacterial, anti-inflammatory, CNS active compounds, antiprotozoal, as well as anticancer therapy. Thus, imidazole derivatives have demonstrated significant anticancer activities by inhibiting the key metabolic pathways essential for tumor cell growth and survival. Nitroimidazoles, for instance, have been employed as hypoxia-directed therapeutic agents, targeting oxygen-deprived tumor tissues, while mercaptopurine derivatives are well-established in oncological treatments. Structural modifications of the imidazole nucleus have led to the novel compounds exhibiting increased selective cytotoxicity against cancer cells, while sparing normal healthy cells. In accordance with what has been stated, this review highlights recent research on the medicinal and pharmaceutical interest of novel imidazole derivatives, emphasizing their potential in the development of new drugs. Full article