Search Results (72)

The increasing complexity of real-world engineering problems, ranging from manufacturing scheduling to resource optimization in smart grids, has driven demand for adaptive and high-performing heuristic methods. Automatic Heuristic Design (AHD) and neural-enhanced metaheuristics have shown promise in automating strategy development, but often suffer from limited flexibility and scalability due to static operator libraries or high retraining costs. Recently, Large Language Models (LLMs) have emerged as a powerful alternative for exploring and evolving heuristics through natural language and program synthesis. This paper proposes a novel LLM-based memetic framework that synergizes LLM-driven exploration with domain-specific local refinement and memory-aware reflection, enabling a dynamic balance between heuristic creativity and effectiveness. In the experiments, the developed framework outperforms other LLM-based state-of-the-art approaches across the designed AGV-drone scheduling scenario and two benchmark combinatorial problems. The findings suggest that LLMs can serve not only as general-purpose optimizers but also as interpretable heuristic generators that adapt efficiently to complex and heterogeneous domains. Full article

This paper argues for a paradigm shift in heritage conservation—one that integrates affective connections, digital technologies, and circular economy principles to respond to the complex realities of urban transformation. Using the case of the Dennys Lascelles Wool Store in Geelong, this position paper contends that current preservation models, rooted in the Authoritative Heritage Discourse (AHD), are inadequate for addressing the nuanced value of industrial heritage, particularly when physical structures are altered or lost. The demolition of the Wool Store’s iconic bow truss structure exemplifies the tension between rapid urban development and heritage conservation. While the physical element has been removed, the site’s cultural and emotional resonance persists, underscoring the role of affect in shaping collective memory and place identity. This paper positions affect as a critical component of heritage discourse—one that expands beyond materiality to include sensory and emotional dimensions often overlooked by institutional frameworks. Digital heritage technologies offer powerful tools to document, represent, and interpret both tangible and intangible aspects of cultural heritage. In the case of the Wool Store, these tools not only preserve what has been lost but also invite public engagement and reinterpretation. However, preservation should not end with digital replication. A circular economy approach calls for the adaptive reuse of remaining structures, allowing historic sites to evolve functionally while retaining their significance. Full article

Bone segmentation in magnetic resonance imaging (MRI) is crucial for clinical and research applications, including diagnosis, surgical planning, and treatment monitoring. However, it remains challenging due to anatomical variability and complex bone morphology. Manual segmentation is time-consuming and operator-dependent, fostering interest in automated methods. This study proposes an automated segmentation method based on a 3D U-Net convolutional neural network to segment the femur, tibia, and patella from low-field MRI scans. Low-field MRI offers advantages in cost, patient comfort, and accessibility but presents challenges related to lower signal quality. Our method achieved a Dice Similarity Coefficient (DSC) of 0.9838, Intersection over Union (IoU) of 0.9682, and Average Hausdorff Distance (AHD) of 0.0223, with an inference time of approximately 3.96 s per volume on a GPU. Although post-processing had minimal impact on metrics, it significantly enhanced the visual smoothness of bone surfaces, which is crucial for clinical use. The final segmentations enabled the creation of clean, 3D-printable bone models, beneficial for preoperative planning. These results demonstrate that the model achieves accurate segmentation with a high degree of overlap compared to manually segmented reference data. This accuracy results from meticulous fine-tuning of the network, along with the application of advanced data augmentation and post-processing techniques. Full article

Background: Alzheimer’s Disease (AD) represents a significant public health challenge with a rising global burden. Emerging evidence suggests a potential link between herpes zoster (HZ) and an increased risk of AD. These findings indicate that HZ may contribute to neuroinflammation and other pathophysiological processes associated with AD, pointing out the potential role of the virus infection in the initiation and/or progression of AD pathology. Objective: This systematic review evaluates the relationships between HZ and the risk of AD, highlighting the potential neuroprotective role of HZ vaccination and antiherpetic drug (AHD) use. Methods: Adhering to the (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) PRISMA guidelines, a comprehensive search of databases (e.g., PubMed) until October 2024 was conducted. Observational studies reporting risk estimates were included. Extracted data were synthesized and analyzed narratively due to study heterogeneity. Results: Eleven studies (out of two hundred) met the inclusion criteria, offering preliminary insights that could form a foundation for further investigation. Reports on HZ showed mixed outcomes, with some studies suggesting a potential increased risk of AD, while others showed no clear correlation. Interestingly, HZ vaccination led to a potential preventive role in reducing the risk of AD, with risk estimates ranging from 0.57 to 0.99. Additionally, the use of AHDs was linked to a reduced risk of AD, with risk estimates ranging from 0.65 to 0.96. Conclusions: Published findings suggest that HZ vaccination and AHD use could represent potential interventions to reduce the risk of AD; however, further research is necessary to validate these findings and better understand the underlying protective mechanisms. Full article

Tumor necrosis factor ɑ (TNFɑ)-induced protein 3 (TNFAIP3)-interacting protein 1 (TNIP1) is genetically and functionally linked to limiting auto-immune and inflammatory responses. We have shown that TNIP1 (alias A20-binding inhibitor of NF-κB 1, ABIN1), functioning as a hub location to coordinate other proteins in repressing inflammatory signaling, aligns with biophysical traits indicative of its being an intrinsically disordered protein (IDP). IDPs move through a repertoire of three-dimensional structures rather than being in one set conformation. Here we employed bioinformatic analysis and biophysical interventions via amino acid mutations to assess and alter, respectively, conformational flexibility along a crucial region of TNIP1, encompassing the ABIN homology domain 1 and ubiquitin-binding domain in ABIN proteins and NEMO (AHD1-UBAN), by purposeful replacement of key residues. In vitro secondary structure measurements were mostly in line with, but not necessarily to the same degree as, expected results from in silico assessments. Notably, changes in single amino acids outside of the ubiquitin-binding region for gain-of-order effects had consequences along the length of the AHD1-UBAN propagating to that region. This is evidenced by differences in recognition of the partner protein polyubiquitin ≥ 28 residues away, depending on the mutation site, from the previously identified key binding site. These findings serve to demonstrate the role of conformational flexibility in protein partner recognition by TNIP1, thus identifying key amino acids likely to impact the molecular dynamics involved in TNIP1 repression of inflammatory signaling at large. Full article

Several recent studies have reported a significantly greater prevalence of Clostridium perfringens encoding the novel pore-forming netF toxin gene in dogs with acute hemorrhagic diarrhea syndrome. However, the presence of netF in other canine diarrheal diseases remains poorly characterized. This retrospective, cross-sectional study aimed to describe the prevalence and abundance of netF-positive C. perfringens in fecal samples from 352 dogs with acute and chronic gastrointestinal diseases. Dogs were divided into five groups: acute hemorrhagic diarrhea syndrome (AHDS), acute diarrhea (AD), chronic enteropathy (CE), exocrine pancreatic insufficiency (EPI), and healthy controls (HCs). The abundances of C. perfringens 16S rRNA, the C. perfringens enterotoxin gene and the C. perfringens netF gene in fecal samples were analyzed by quantitative polymerase chain reaction. In total, 7 of 15 (46.7%) dogs with AHDS, 10 of 75 (13.3%) dogs with AD, 2 of 120 (1.7%) dogs with CE, 1 of 12 (8.3%) dogs with EPI, and 1 of 130 (0.8%) HC dogs tested positive for netF. This study provides further evidence that NetF may be a significant contributor to the etiology of AHDS and potentially to a subset of acute nonhemorrhagic diarrhea cases, while it was only rarely detected in chronic gastrointestinal disease phenotypes. Full article

Background/Objectives: To evaluate the clinical and radiologic outcomes of arthroscopic augmented partial repair (APR) with acellular dermal matrix versus arthroscopic superior capsular reconstruction (SCR) in massive rotator cuff tears. Methods: The study included a total of 49 patients with massive rotator cuff tears who underwent arthroscopic APR (26 patients) and SCR (23 patients) between March 2018 and June 2021. Clinical scores, visual analog scores, and range of motion were collected preoperatively and postoperatively until the last follow-up. Preoperative and postoperative simple radiographs were evaluated for arthropathic changes and acromiohumeral distances (AHDs). Magnetic resonance imaging was performed to assess the integrity of repaired structures at 12 months postoperatively. Results: The average age of patients was 63.9 years (range 53–74 years), and the mean clinical follow-up period was 2.6 years (range 2.1–2.9). The average UCLA scores improved from 18.0 to 33.2 and from 16.3 to 32.1 in APR and SCR groups at the last follow-up, respectively. For the ranges of motion, the APR group consistently showed better external rotation ranges from the postoperative 6th month until the last follow-up (p < 0.05), and the APR group revealed better ranges of motion in forward flexion, abduction, and external rotation compared to the SCR group (p < 0.05). Postoperative AHD showed better improvement in the APR group than the SCR group (p < 0.05). Re-tears were found in two patients in each group (p > 0.05). Conclusions: Both APR and SCR groups showed comparable improvement in clinical outcomes in massive rotator cuff tears, while the APR group showed statistically significant improvement in the range of motion compared to the SCR group, especially for external rotations. Full article

Background: This study assessed Transcutaneous Pulse Radiofrequency Therapy’s (TCPRF) effectiveness in reducing shoulder pain and improving shoulder function. Methods: A double-blind randomized controlled trial involved 50 SAIS patients with chronic shoulder pain. Participants were randomized into two groups: the study group (n = 27) received TCPRF, while the control (n = 23) received sham treatment. The primary outcome was shoulder pain, secondary outcomes, including shoulder function, quality of life, and range of motion, were assessed at baseline, and at 1, 4, and 12 weeks using the Visual Analog Scale (VAS), Shoulder Pain and Disability Index (SPADI), and the SF-36 questionnaire. Supraspinatus tendon thickness (SSPT) and acromiohumeral distance (AHD) were measured by ultrasound. Results: Both groups showed reductions in activity and resting pain over 12 weeks. In the control, activity pain dropped from a median (IQR) of 8 (7–8) to 6 (3–7), and in TCPRF from 8 (7–10) to 3.5 (2–6.3), with no significant difference at 12 weeks (p = 0.192). Resting pain decreased from 3 (1–6) to 1 (1–3) in the control, and from 3 (2–4) to 0 (0–2) in TCPRF, showing a lower resting pain at 12 weeks (p = 0.041). SPADI-Total scores decreased from 87 (54–105) to 50 (29–82) in the control and from 84 (69–107) to 21 (9–66.3) in TCPRF, favoring TCPRF at 12 weeks (p = 0.017). SPADI–Disability scores reduced from 49 (30–63) to 30 (15–30) in control and from 47 (35–62) to 11 (5.8–38.8) in TCPRF, also favoring TCPRF (p = 0.008). Both groups showed similar improvements in other outcomes. Conclusions: TCPRF reduced resting pain and shoulder disability in SAIS over 12 weeks, though other outcomes showed similar improvement in both groups. Further studies are needed to determine long-term effects. Full article

The Caribbean continues to have high HIV prevalence globally with concurrently high mortality rates due to opportunistic Infections. This study addresses the prevalence of histoplasmosis and cryptococcosis among patients living with advanced HIV disease (AHD) in Trinidad and Tobago, focusing on the implementation of antigen-based diagnostic assays. Conducted as a cross-sectional survey across five HIV treatment sites, 199 participants with advanced HIV disease were enrolled between July 2022 and September 2023. Diagnostic testing was performed using the Clarus Histoplasma Galactomannan Enzyme Immunoassay (EIA), and the Immy CrAg^® LFA Cryptococcal Antigen Lateral Flow Assay on urine and blood samples, respectively. Results revealed that 14.6% of participants were found to be co-infected with either histoplasmosis or cryptococcosis, with histoplasmosis being more prevalent (10.5%) than cryptococcosis (4.0%). The study found no significant demographic differences between newly diagnosed and previously diagnosed participants. However, a lower median CD4 count was associated with a higher risk of fungal opportunistic infections. The findings underscore the critical role of systematic use of fungal antigen-based diagnostic assays among patients with AHD to improve the timely diagnosis and treatment of fungal infections among people living with HIV in resource-limited settings and to improve patient outcomes and survival. Full article

We investigate the implications of different quantization approaches in Loop Quantum Cosmology for the primordial power spectrum of tensor modes. Specifically, we consider the hybrid and dressed metric approaches to derive the effective mass that governs the evolution of the tensor modes. Our study comprehensively examines the two resulting effective masses and how to estimate them in order to obtain approximated analytic solutions to the tensor perturbation equations. Since Loop Quantum Cosmology incorporates preinflationary effects in the dynamics of the perturbations, we do not have at our disposal a standard choice of privileged vacuum, like the Bunch–Davies state in quasi-de Sitter inflation. We then select the vacuum state by a recently proposed criterion which removes unwanted oscillations in the power spectrum and guarantees an asymptotic diagonalization of the Hamiltonian in the ultraviolet. This vacuum is usually called the NO-AHD (from the initials of Non-Oscillating with Asymptotic Hamiltonian Diagonalization) vacuum. Consequently, we compute the power spectrum by using our analytic approximations and by introducing a suitable numerical procedure, adopting in both cases an NO-AHD vacuum. With this information, we compare the different spectra obtained from the hybrid and the dressed metric approaches, as well as from the analytic and numerical procedures. In particular, this proves the remarkable accuracy of our approximations. Full article

Studies addressing the anatomical values of the supraspinatus outlet area (SOA) and the available supraspinatus outlet area (ASOA) are insufficient. This study focused on precisely measuring the SOA and ASOA values in a sample from the Chinese population using 3D CT (computed tomography) reconstruction. We analyzed CT imaging of 96 normal patients (59 males and 37 females) who underwent shoulder examinations in a hospital between 2011 and 2021. The SOA, ASOA, acromiohumeral distance (AHD), coracohumeral distance (CHD), coracoacromial arch radius (CAR), and humeral head radius (HHR) were estimated, and statistical correlation analyses were performed. There were significant sex differences observed in SOA (men: 957.62 ± 158.66 mm²; women: 735.87 ± 95.86 mm²) and ASOA (men: 661.35 ± 104.88 mm²; women: 511.49 ± 69.26 mm²), CHD (men: 11.22 ± 2.24 mm; women: 9.23 ± 1.35 mm), CAR (men: 37.18 ± 2.70 mm; women: 33.04 ± 3.15 mm), and HHR (men: 22.65 ± 1.44 mm; women: 20.53 ± 0.95 mm). Additionally, both SOA and ASOA showed positive and linear correlations with AHD, CHD, CAR, and HHR (R: 0.304–0.494, all p < 0.05). This study provides physiologic reference values of SOA and ASOA in the Chinese population, highlighting the sex differences and the correlations with shoulder anatomical parameters. Full article

Purpose: This study aimed to identify the demographic-, radiographic-, and surgery-related factors influencing postoperative functional internal rotation (fIR) following reverse total shoulder arthroplasty (RTSA). Methods: In this retrospective cohort study, patients who underwent RTSA between June 2013 and April 2018 at a single institution were assigned to two groups (“IROgood” or “IRObad”). Patients were classified as having good fIR (≥8 points in the Constant–Murley score (CS) and fIR to the twelfth thoracic vertebra or higher) or poor fIR (≤2 points in the CS and fIR to the twelfth thoracic vertebra or lower) after RTSA with a single implant model. The minimum follow-up period was two years. Standardized shoulder-specific scores (Visual Analogue Scale (VAS), Simple Shoulder Test (SST), American Shoulder and Elbow Surgeons Score (ASES), Constant–Murley score (CS)) were used to assess the pre- and postoperative functional status of patients. Postoperative radiographic evaluation included the distalization shoulder angle (DSA), lateralization shoulder angle (LSA), critical shoulder angle (CSA), acromiohumeral distance (AHD), glenoid inclination (GI), medialization of the center of rotation (COR), lateralization of the humerus, and distalization of the greater tuberosity. Additionally, preoperative evaluation included rotator cuff arthropathy according to Hamada, glenoid version, anterior or posterior humeral head subluxation, and fatty infiltration of the rotator cuff according to Goutallier. Univariate analysis of demographic, surgical, radiographic, and implant-associated parameters was performed to identify factors associated with postoperative fIR. The Shapiro–Wilk test assessed the normal distribution of the data. Intergroup comparisons regarding demographic and surgery-related factors were conducted using the Mann–Whitney-U Test. Radiographic changes were compared using chi-square or Fisher’s exact tests. The significance level was set at p < 0.05. Results: Of a total of 42 patients, 17 (age: 73.7 ± 5.0 years, follow-up (FU) 38 months [IQR 29.5–57.5]) were included in the “IRObad” group, and 25 (age: 72 ± 6.1 years, FU 47 months [IQR 30.5–65.5]) were included in the “IROgood” group. All patients were treated with the same type of implant (glenosphere size: 36 mm, 14.3%; 39 mm, 38.1%; 42 mm, 47.6%; neck-shaft angle: 135° in 68.0%; 155° in 32.0%) and had comparable indications. Univariate analysis did not reveal any of the investigated demographic, radiographic, or surgery-related parameters as risk factors for poor postoperative fIR (p > 0.05). Conclusion: None of the investigated factors, including implant-associated parameters, influenced postoperative fIR after RTSA in this cohort. Full article

Objectives: The aim of this study was to compare the prevalence and characteristics of HIV late presenters (LPs) and advanced LPs (aLPs) registered in the Lodz HIV centre during the COVID-19 pandemic (2020–2021) with those of the pre-pandemic period (2017–2019). Methods: A retrospective analysis was performed of the predictive factors associated with HIV LPs and aLPs based on multivariable logistic regression. The patient entry into specialist HIV care after diagnosis during the pandemic was analysed. Results: Of 121 newly diagnosed HIV infections during the pandemic, 49.6% had late presentation and 36.4% had advanced HIV disease (AHD). In the pre-pandemic period, out of 154 newly diagnosed patients, 58.4% were LPs and 38.3% were aLPs. Independent risk factors for HIV late presentation were older age (OR: 1.04, 95% CI: 1.01–1.076; p = 0.008), diagnosis in hospital (OR: 5.63, 95% CI: 2.87–11.05; p < 0.001) and negative VDRL as compared to positive VDRL (OR: 2.48, 95% CI: 1.19–5.15; p = 0.015). The same predictive factors were associated with aLPs: older age (OR: 1.07, 95% Cl 1.04–1.11; p < 0.001), HIV diagnosis in hospital (OR: 4.25, 95% CI 2.17–8.29; p < 0.001) and negative VDRL as compared to positive VDRL (OR: 4.95, 95% CI 1.87–13.10; p = 0.001). HIV diagnosis during the pandemic was not a risk factor for late presentation nor for advanced late presentation. However, the time between HIV diagnosis and the first visit to an HIV centre was statistically lower in the pre-pandemic period (p = 0.0048); the median lengths of time between the date of HIV testing, the first visit to the centre and the initiation of ART did not differ between these two periods in LPs and aLPs (p > 0.05). Conclusions: The COVID-19 pandemic did not change the prevalence or characteristics of late presentation and aLPs among newly diagnosed patients, nor did it extend the time to enrolment in HIV care or ART introduction in these groups. Full article

Graph anomaly detection aims to identify unusual patterns or structures in graph-structured data. Most existing research focuses on anomalous nodes in ordinary graphs with pairwise relationships. However, complex real-world systems often involve relationships that go beyond pairwise relationships, and insufficient attention is paid to hypergraph anomaly detection, especially anomalous hyperedge detection. Some existing methods for researching hypergraphs involve transforming hypergraphs into ordinary graphs for learning, which can result in poor detection performance due to the loss of high-order information. We propose a new method for Anomalous Hyperedge Detection on Symmetric Line Expansion (AHD-SLE). The SLE of a hypergraph is an ordinary graph with pairwise relationships and can be backmapped to the hypergraph, so the SLE is able to preserve the higher-order information of the hypergraph. The AHD-SLE first maps the hypergraph to the SLE; then, the information is aggregated by Graph Convolutional Networks (GCNs) in the SLE. After that, the hyperedge embedding representation is obtained through a backmapping operation. Finally, an anomaly function is designed to detect anomalous hyperedges using the hyperedge embedding representation. Experiments on five different types of real hypergraph datasets show that AHD-SLE outperforms the baseline algorithm in terms of Area Under the receiver operating characteristic Curve(AUC) and Recall metrics. Full article

Under the influence of tourism and globalization, heritage production presents a new landscape. As a crucial framework for interpreting heritage, Authorized Heritage Discourse (AHD) has profound significance in discussing its practice characteristics in this context. Taking cities along the Jiangsu–Zhejiang section of the Grand Canal as a case study and drawing upon policy text, this study explores the practice characteristics of AHD in the tourism context. Results indicate that the thematic practices of AHD encompass protection and management, ecological construction, cultural production and inheritance, touristification, infrastructure and services, and marketing and cooperation, forming a clustering pattern with touristification as the central theme. The spatial characteristics manifest as multi-scale practices ranging from global to regional to local, each corresponding to diverse thematic characteristics. This study deepens the understanding of AHD in tourism and advances the research progress of heritage tourism. It also provides practical references for the utilization of urban heritage and the management of heritage tourism. Full article