Search Results (1,483)

Cold-bonded (CB) fly ash aggregate, an eco-friendly material derived from industrial by-products, is used to fully replace natural coarse aggregate in producing lightweight concrete (LWC-CB). This study systematically investigates the post-high-temperature mechanical properties and damage mechanisms of LWC-CB. Specimens exposed to ambient temperature (10 °C) and elevated temperatures (200 °C, 400 °C, 600 °C) underwent cubic compression tests, with surface deformation monitored via digital image correlation (DIC). Experimental results indicate that the strength retention of LWC-CB is approximately 6% superior to ordinary concrete below 500 °C, beyond which its performance converges. Damage analysis reveals a transition in failure mode: at ambient temperature, shear failure is governed by the low intrinsic strength of CB aggregates, while after high-temperature exposure, damage localizes within the mortar and the interfacial transition zone (ITZ) due to mortar micro-cracking and thermal mismatch. To elucidate these mechanisms, a three-dimensional mesoscale model was developed and validated, effectively characterizing the internal multiphase structure at room temperature. Furthermore, a homogenization model was established to analyze the macroscopic thermo-mechanical response. The numerical simulations show strong agreement with experimental data, with a maximum deviation of 15% at 10 °C and 3% after high-temperature exposure, confirming the model’s accuracy in capturing the performance evolution of LWC-CB. Full article

Total knee replacement (TKR) is a reliable treatment for end-stage degenerative conditions of the knee. Patient-reported outcome measures (PROMs) are central to assessing TKR outcomes, but they have limitations. Activities of daily living (ADLs) in the early post-operative period complement PROMs for holistic patient assessment. This study presents a method for capturing ADL parameters from data generated by inertial measurement unit (IMU) devices embedded in TKR prosthesis. A conventional posterior stabilized TKR was modified to create chambers in the femoral and tibial components. The prosthesis was implanted into a cadaver knee and movement was simulated using a hydraulic actuated knee simulator (AMTI, VIVO, MA, USA). A powered IMU device was placed in each of the chambers. The simulator was activated for various ADLs and the generated data was collected wirelessly. The pre-processed data was fed into a novel multimodal deep learning artificial intelligence model created to recognize specific ADL (trained on 70% of the data, with 30% reserved for validation and testing). The model achieved 95.68% overall accuracy, with 100% for sitting, standing, stance, and knee bending. Walking, stair navigation, and jogging showed F1 scores of 0.98, 0.92, 0.91, and 0.89, respectively. This technology enables seamless knee activity recognition and reporting with positive implications for patient-specific rehabilitation protocols. Full article

Transcatheter aortic valve replacement (TAVR) has evolved over the last two decades into a cornerstone therapy for patients with severe symptomatic aortic stenosis. This therapy was initially reserved for those at high or prohibitive surgical risk but is now firmly established across all surgical risk categories. Its non-inferiority to surgical aortic valve replacement has been demonstrated even in low-risk populations, supporting the rapid worldwide expansion of its use. Nevertheless, despite procedural refinements and the advent of newer-generation prostheses, conduction disturbances leading to permanent pacemaker implantation (PPI) remain one of the most frequent and clinically relevant complications. Reported incidence ranges between 8% and 20% depending on prosthesis type, implantation technique, and baseline patient characteristics. Multiple clinical, anatomical, and procedural factors have been identified as strong predictors of post-TAVR conduction disturbances. Taken together, the integration of anatomical and clinical risk assessment, precise procedural planning, careful device selection, structured monitoring, and emerging therapeutic strategies constitutes a comprehensive, evidence-based approach to reduce the burden of conduction disturbances following TAVR. Such a multimodal framework has the potential not only to lower the incidence of permanent pacemaker implantation but also to improve safety, optimize healthcare resource utilization, and support the broader adoption of TAVR in increasingly younger and lower-risk patient populations. Full article

Arable field abandonment is a major driver of landscape change in rural areas worldwide. It is defined as the cessation of agricultural activities and the withdrawal of agricultural management on land. This study examined arable land abandonment and subsequent land use and land cover (LULC) changes in Gotyibeni, Manqorholweni, Mawane, and Melani villages over a 20-year period. The aim was to understand these changes and how rural livelihoods and social relationships within and between households were perceived to have transformed following the LULC shifts. Landsat 5, 7, 8, and 9 multispectral imageries with a 30 m spatial resolution were analysed for two periods (i.e., 2000–2010 and 2010–2020). Five land cover classes were mapped: arable fields, grasslands, homestead gardens, residential areas, and shrublands. Post-classification change detection revealed a steady decline in arable fields, largely replaced by grasslands, shrublands, and residential areas. User accuracy was above 80% across all LULC maps, providing confidence in the LULC results. To link these spatial changes with social outcomes, 97 households that had abandoned field cultivation were purposively selected across the four villages. Semi-structured interviews were conducted to capture household experiences. Findings showed that reduced field cultivation was perceived to undermine household economic status, with households increasingly dependent on government social grants amid high unemployment. In addition, weakened social connections and shifts in cultural practices were reported. Overall, the study demonstrated how combining satellite imagery with community perspectives provides a comprehensive understanding of rural arable land abandonment and its consequences. Full article

Background: The standard protocol for early first-trimester termination of pregnancy (TOP) involves administration of mifepristone followed by misoprostol after a 48-h interval. While concurrent administration may improve convenience and access, evidence regarding its effectiveness remains limited. This study aims to compare the efficacy, safety, and acceptability of concurrent oral administration of mifepristone and misoprostol with the 48-h interval regimen for early TOP. Methods: In this randomized controlled trial (ClinicalTrials.gov: NCT03440866), 250 patients with intrauterine pregnancies up to 49 days’ gestation were randomized to receive either concurrent treatment (600 mg mifepristone and 400 mcg misoprostol) or the same medications administered 48 h apart. The primary outcome was complete abortion without additional intervention. Secondary outcomes included adverse events, pain, and patient satisfaction. Follow-up occurred approximately two weeks post-treatment. Data were available for 220 participants. Results: The concurrent group had a significantly lower success rate compared to the control group (68.8% vs. 84.3%, p = 0.007). Continuing pregnancy was more frequent with concurrent administration (13.4% vs. 2.8%, p = 0.004). No significant differences were observed in hemoglobin change, adverse events, or pain scores. Patient satisfaction was higher in the control group (81.1% vs. 63.6%, p = 0.04), though preferences for future abortion methods did not differ between groups. Conclusions: Concurrent administration of mifepristone and misoprostol is less effective and less satisfactory than the standard 48-h regimen, although safety and pain profiles are comparable. It should not replace the interval protocol, and patients choosing concurrent treatment should be counseled about its lower efficacy and higher likelihood of requiring additional intervention. Full article

Simulation is widely used in healthcare, with VR simulation replacing physical scenarios with virtual ones. Participants observe based on predefined learning objectives and reflect on them during debriefing sessions. De-escalation is recommended as the first-line response to potential aggression in mental healthcare. Staff in secure mental health units frequently face aggression, and training may enhance de-escalation skills. The study aimed to explore staff experiences with VR simulation as a supplement to physical simulation for de-escalation and examine differences between those with and without prior physical simulation experience. The study involved 58 frontline staff in a Norwegian high security secure mental health department. Twelve simulations were conducted, followed by a post-simulation questionnaire. Data was analyzed using thematic analysis and appropriate statistical analyses. Departmental and data protection approvals were obtained, and participation was based on informed consent. Two themes emerged: (1) enhances situational understanding, and (2) lack of training for action readiness. Participants rated the simulation highly on most questions and perceived VR simulation as a valuable supplement to physical simulation. Those without prior simulation experience were more satisfied with the VR scenario (mean difference = 0.421, 2-sided 95%CI = 0.036–0.807, t = 2.188, p = 0.033), learned more from the VR simulation (mean difference = 0.725, 2-sided 95%CI = 0.045–1.406, t = 2.136, p = 0.037), experienced VR scenario which was more applicable to clinical work (mean difference = 0.645, 2-sided 95% CI = 0.161–1.128, t = 2.674, p = 0.010), and reflected that the VR simulation increased their experienced safety (mean difference = 1.133. 95%CI = 0.478–1.788, t = 3.468, p = 0.001). Greater benefits were yielded from the VR simulation for those without prior simulation experience than those with previous experience. Further studies are recommended. Full article

This study investigated the effects of replacing part of the soybean meal in the diet of Dumont lambs with urea, rapeseed meal, and cottonseed meal on their growth performance and rumen fermentation and combined rumen microbial metagenomics and metabolomics to explain the reasons for the changes in phenotypic data. Twenty-four healthy male Dumont lambs were divided into four groups: soybean meal group (T1, control group), group with 1.5% urea replacing 6.4% soybean meal (T2), group with 1% urea replacing 4.3% soybean meal (T3), and group with 1% urea + 6.6% cottonseed meal +5% rapeseed meal replacing all soybean meal (19%) (T4), following the principle of equal energy and nitrogen. Urea, rapeseed meal, and cottonseed meal have different degradation rates in the rumen, primarily stimulating arginine biosynthesis, sulphur metabolism, and carbon fixation in photosynthetic organisms through Prevotella genus mediation, thereby influencing the accumulation of metabolites such as 9,10-DiHOME, DG (PGJ2/a-15:0/0:0), isonicotinate and taxifolin, affecting rumen fermentation. Compared with the T1 group, the T2 group showed significantly increased ammonia nitrogen (NH₃-N) and microbial protein (MCP) content (p < 0.01) and improved fructose and mannose metabolic capacity (p < 0.05). The T3 group showed a significant increase in total volatile fatty acids (TVFA) and MCP content (p < 0.01), which facilitated the absorption of subsequent nutrients. In the T4 group, different degradation rates of nitrogen resources and rapeseed meal + cottonseed meal contained abundant and complementary amino acids, which improved rumen fermentation, enhanced rumen microbial and metabolite diversity, and optimized the synergistic metabolic efficiency of carbon, nitrogen and sulphur. However, the specific mechanisms of post-rumen metabolism and absorption require further investigation. Full article

Background: Sexual dysfunction (SD) is a common yet under-recognized consequence of traumatic brain injury (TBI), with significant implications for physical health, psychological well-being, interpersonal relationships and social reintegration. Although TBI research has largely focused on cognitive, motor and behavioral outcomes, the impact of SD remains insufficiently addressed in both clinical practice and rehabilitation programs. Objectives: This review aims to synthesize current evidence on the prevalence, mechanisms and management of SD following TBI, while emphasizing the importance of gender-sensitive and multidisciplinary approaches to care. Methods: A narrative review was conducted by searching PubMed, Scopus and Web of Science for English-language articles published between 2000 and 2025 using combinations of the following keywords: traumatic brain injury, sexual dysfunction, neuroendocrine dysfunction, psychological sequelae and rehabilitation. Priority was given to peer-reviewed clinical studies, systematic reviews and expert consensus guidelines that addressed neurological, endocrine, cognitive, psychological and social aspects of SD in TBI survivors. Exclusion criteria included case reports with insufficient clinical detail and non-peer-reviewed sources. Articles were screened for relevance to both pathophysiological mechanisms and therapeutic strategies. Results: The etiology of post-TBI SD is multifactorial, involving direct neurological injury, hypothalamic–pituitary dysfunction, emotional and cognitive impairments, as well as psychological challenges such as stigma and relationship strain. Men and women may present distinct symptom profiles; for instance, men more frequently report erectile dysfunction and hypogonadism, whereas women more commonly experience challenges with arousal, lubrication and psychological stress. Effective interventions include pharmacotherapy, hormone replacement therapy, psychotherapy and rehabilitative approaches designed to restore intimacy and quality of life. Optimal outcomes are achieved through multidisciplinary collaboration among neurology, endocrinology, psychiatry, psychology and rehabilitation medicine. Conclusions: Sexual dysfunction should be recognized as a critical component of TBI sequelae rather than a secondary concern. Routine screening, gender-sensitive assessment and the integration of individualized, multidisciplinary care pathways are essential to improving patient outcomes. Advancing clinical awareness and standardization in this area holds the potential to significantly enhance the holistic recovery and reintegration of TBI survivors. Full article

The cherry barb (Puntius titteya) is a staple of the ornamental aquaculture industry, with an estimated 60,000 individuals produced monthly in Florida, USA. On a commercial scale, small improvements in efficiency may yield considerable economic and operational benefits. This study investigated first-feeding protocols aimed at reducing the use of live Artemia spp. nauplii by evaluating microdiets (MDs) top-dressed with feed attractants and commercial liquid Artemia replacements (LAs). Larvae were fed MDs top-dressed with 0.25%, 0.50%, or 1.0% of L-alanine, betaine, or L-tryptophan for seven days. Diets with L-alanine and L-tryptophan significantly increased survival compared to the reference diet. A 21-day trial that tested three feed attractants combined into a single diet at previously determined inclusion levels (L-alanine, 0.5%; betaine, 0.25%; and L-tryptophan, 0.25%) showed no additive or synergistic survival benefits. No differences were observed for RNA/DNA ratios at 15 days post-hatch, suggesting no effect on larval quality. Additional experiments were conducted comparing the performance of two commercial LA diets (EZ Artemia Ultra [Zeigler Bros., Inc., Gardners, PA, USA] and LiquaLife^® [Cargill Inc., Minneapolis, MN, USA]) against live Artemia. Partial Artemia replacement with EZ Artemia Ultra maintained comparable survival to larvae fed only Artemia. Larval growth was significantly reduced in 100% LA groups, suggesting limitations in nutrition or digestibility. These findings demonstrate that targeted use of feed attractants can enhance early rearing outcomes in P. titteya aquaculture, facilitating the goal of reducing Artemia use and increasing production efficiency and hatchery output. Full article

Gulf War Veterans (GWVs) presenting with irritable bowel syndrome-diarrhea (IBS-D) often exhibit concurrent post-traumatic stress disorder (PTSD) or traumatic brain injury (TBI). All Veterans’ Affair physicians are required to assess symptoms of depression, anxiety, and suicide ideation by maintaining yearly training. In a previous study for IBS-D (3), we identified significant vitamin D deficiency (VDD), with an average level of 19 ng/mL. This includes those with and without PTSD, TBI, showing depression and anxiety symptoms. Since VDD is associated with PTSD, and all veterans not on supplementation were found to be VDD (>90%) at our facility, we investigated a possible association between VDD and these neuropsychological conditions. While age and body mass index (BMI), seasons, and demographic locations are known to affect vitamin D levels, we found no correlation between these factors and VDD in the PTSD group and those with IBS-D. In the TBI group, VDD did correlate with BMI. Multiple deployments appeared to have a minor negative effect on vitamin D levels (a 11–13% contribution) in veterans with either PTSD or TBI. Although these veterans showed signs of inflammation with elevated minor C-reactive protein (CRP) levels (4.7 mg/L), there was a negative correlation between CRP and vitamin D to suggest that inflammation is not the primary cause of PTSD or TBI. Following daily vitamin D treatment, vitamin D levels returned to a normal average of 30 ng/mL (less than 30 ng/mL is abnormal). Treatment had no effect on serum calcium levels, but did lead to a resolution of depression, anxiety, TBI, and PTSD symptoms in the majority of patients. These findings suggest that correcting VDD in GWVs visiting GI clinics with co-occurring PTSD and TBI had reduced psychological symptoms. Replacing vitamin D is a simple strategy to implement, rather than increasing neurotrophic medications in some patients. Full article

Harsh working environments and excessive usage frequency cause wear, fatigue, and corrosion failure in metallic components in high-end agricultural machinery and equipment. Overall replacements of valuable metallic components could result in high overhaul costs and material waste. Therefore, remanufacturing these local areas is an effective way to put damaged components back into service, thus maximizing the value of the remaining materials. Laser cladding (LC) technology utilizes high-energy, high-density laser beams to create cladding layers with specialized properties such as wear and corrosion resistance on the surfaces of damaged metallic components. This work provides a comprehensive analysis of pre-processing, processing, and post-processing in relation to laser cladding remanufacturing (LCR) of metallic components. The review examines the LC process, including material systems (Fe-, Ni-, and Co-based alloys and composites), process optimization, and path planning. The relationship between material composition, process parameters, microstructure evolution, and resultant properties (wear, corrosion, and fatigue) is emphasized. Finally, challenges and future trends faced in this process are introduced in detail. The discussed topics provide some important insights on high-quality and efficient remanufacturing of metallic components in high-end agricultural machinery and equipment. Full article

Ketosis is one of the most common metabolic disorders in high-yielding dairy cows in early lactation. It has a negative impact on milk yield, reproduction, and general health of the animals. The present review aims to systematize and critically analyze current scientific data on the monitoring, diagnosis, prevention, and treatment of subclinical and clinical ketosis, with the aim of developing an applicable protocol for good veterinary medical practices (GMP). Based on the comparative analysis method of data from the literature and clinical practice, β-hydroxybutyrate (BHBA) in blood is confirmed as the gold standard for diagnosis with specificity and sensitivity above 90%. Indicators such as fat/protein (F/P) > 1.4 and NEFA > 0.4 mmol/L, as well as reduced citrate content in milk, have been evaluated as useful screening tools, although with lower diagnostic value. Despite the advantages of some indirect methods (such as F/P), critical analysis shows that they are strongly influenced by physiological status, lactation stage, and diet and cannot replace direct blood tests. Preventive approaches emphasize the importance of stable nutrition in the pre- and post-calving period, restriction of ketogenic feeds, and use of oral glucose precursors. Literature analysis shows that propylene glycol is effective, but with prolonged use it can reduce appetite. Combined antiketotic products have also been introduced, providing not only energy support but also liver protection. Particular attention has been paid to monensin (applied in the commercial product “Kexxtone”)—a polyether antibiotic with sustained release, which reduces the incidence of ketosis by over 50% and increases milk yield in the first weeks after calving. However, its high cost, antibiotic nature, and need for veterinary supervision limit its universal use. The treatment protocol is differentiated according to the clinical type: glucose I. V. and propylene glycol in type I ketosis and avoidance of glucocorticoids in suspected type II (hepatic steatosis). In the critical analysis It is noted that improper use of glucocorticoids can lead to a worsening of the condition. A structured protocol for DVMP (Dairy Veterinary Medical Practice) is proposed, which includes targeted metabolic monitoring (NEFA, BHBA, F/P); proven preventive regimens (Kexxtone, propylene glycol, balanced rations), and staged prevention and treatment according to the form of ketosis. The adaptation of good practices to the scale of the farm and the level of knowledge and skills of the staff for their correct application remains a challenge. Providing training, a standardized control log, and access to field diagnostic tools is key to the success of any protocol. Full article

Manual grading of Stropharia rugoso-annulata mushroom is plagued by inefficiency and subjectivity, while existing detection models face inherent trade-offs between accuracy, real-time performance, and deployability on resource-constrained edge devices. To address these challenges, this study presents an Improved Real-Time Detection Transformer (RT-DETR) tailored for automated grading of Stropharia rugoso-annulata. Two innovative modules underpin the model: (1) the low-frequency feature integrator (LFFI), which leverages wavelet decomposition to preserve critical low-frequency global structural information, thereby enhancing the capture of large mushroom morphology; (2) the Token Statistics Self-Attention (TSSA) mechanism, which replaces traditional self-attention with second-moment statistical computations. This reduces complexity from $O\left(n^2\right)$ to $O\left(n\right)$ and inherently generates interpretable attention patterns, augmenting model explainability. Experimental results demonstrate that the improved model achieves 95.2% mAP@0.5:0.95 at 262 FPS, with a substantial reduction in computational overhead compared to the original RT-DETR. It outperforms APHS-YOLO in both accuracy and efficiency, eliminates the need for non-maximum suppression (NMS) post-processing, and balances global structural awareness with local detail sensitivity. These attributes render it highly suitable for industrial edge deployment. This work offers an efficient framework for the automated grading of large-target crop detection. Full article

Shimer documents that the search-and-matching model driven by productivity shocks explains only a small share of the observed volatility of unemployment and vacancies, which is known as the Shimer puzzle. We revisit this evidence by replacing the representative firm’s optimization with a deep reinforcement learning (DRL) agent that learns its vacancy-posting policy through interaction in a Diamond–Mortensen–Pissarides (DMP) model. Comparing the learning economy with a conventional log-linearized DSGE solution under the same parameters, we find that while both frameworks preserve a downward-sloping Beveridge curve, learning-based economy produces much higher volatility in key labor market variables and returns to a steady state more slowly after shocks. These results point to bounded rationality and endogenous learning as mechanisms for labor market fluctuations and suggest that reinforcement learning can serve as a useful complement to standard macroeconomic analysis. Full article

Acquisition of joint attitudes is vital in mine geology but often constrained by underground conditions, while manual cataloging remains inefficient and subjective. To overcome these issues, we propose a mobile phone photography and deep learning-based method. Rock joint images are collected with smartphones, augmented by cutting and rotation, and enhanced using CLAHE. After labeling with Labelme, a dataset is built for training. A ResNet residual module and CBAM attention are integrated into a U-Net architecture, forming the RC-Unet model for accurate semantic segmentation of joints. Post-processing with OpenCV enables contour extraction, and the PCP three-point localization algorithm rapidly calculates joint attitudes. A practical engineering case verifies that intelligent joint identification can replace manual cataloging in relatively simple underground environments. This approach improves efficiency, reduces subjectivity, and provides a rapid, low-cost, and easily storable means for geological information acquisition, highlighting its potential as an effective tool and supplementary method for mine surveys. Full article