Search Results (118)

Given the intricate operating environment of steel truss bridges, data anomalies are frequently initiated by faults in the sensor monitoring system itself during the monitoring process. This paper utilizes a steel truss bridge as a case study in engineering, with a primary focus on the deflection of the main girder. The paper establishes an Attention Mechanism-based Bidirectional Long Short-Term Memory Neural Network (ATT-BiLSTM) model, with the objective of accurately repairing abnormal monitoring data. Firstly, correlation heat maps and Gray correlation are employed to detect anomalies in key measurement point data. Subsequently, the ATT-BiLSTM and Support Vector Machine (SVR) models are established to repair the anomalous monitoring data. Finally, various evaluation indexes, including Pearson’s correlation coefficient, mean squared error, and coefficient of determination, are utilized to validate the repairing accuracy of the ATT-BiLSTM model. The findings indicate that the repair efficacy of ATT-BiLSTM on anomalous data surpasses that of SVR. The repaired data exhibited a tendency to decrease in amplitude at the anomalous position, while maintaining the prominence of the data at abrupt deflection change points, thereby preserving the characteristics of the data. The repair rate of anomalous data attained 93.88%, and the mean square error of the actual complete data was only 0.0226, leading to substantial enhancement in the integrity and reliability of the data. Full article

Industrial maintenance has shifted from reactive repairs and calendar-based servicing toward data-driven predictive strategies. This paper presents a non-intrusive, low-cost IoT hardware platform for sustainable predictive maintenance of rotating machinery. The system integrates an ESP32-S3 sensor node that captures vibration (100 kHz) and temperature data, performs local logging, and communicates wirelessly. An automated spectral band segmentation framework is introduced, comparing equal-energy, linear-width, nonlinear, clustering, and peak–valley partitioning methods, followed by a weighted feature scheme that emphasizes high-value bands. Three unsupervised one-class classifiers—transformer autoencoders, GANomaly, and Isolation Forest—are evaluated on these weighted spectral features. Experiments conducted on a custom pump test bench with controlled anomaly severities demonstrate strong anomaly classification performance across multiple configurations, supported by detailed threshold-characterization metrics. Among 150 model–segmentation configurations, 25 achieved perfect classification (100% precision, recall, and F1 score) with ROC-AUC = 1.0, 43 configurations achieved ≥90% accuracy, and the lowest-performing setup maintained 81.8% accuracy. The proposed end-to-end solution reduces the downtime, lowers maintenance costs, and extends the asset life, offering a scalable, predictive maintenance approach for diverse industrial settings. Full article

Background: The Da Silva Cone procedure for Ebstein anomaly has dramatically improved tricuspid valve competence and clinical outcomes. However, preoperative left ventricular (LV) dysfunction and immediate postoperative right ventricular (RV) systolic dysfunction are frequently observed. While excellent valve outcomes are well established, recovery of biventricular function following the Cone remains less defined. This study aimed to evaluate longitudinal changes in RV and LV function postoperatively and over a minimum of six months post-Cone operation. Methods: A single center retrospective review of 134 patients who underwent Cone repair for Ebstein’s anomaly from 2016 to 2024 was performed. Echocardiograms were analyzed at three time points: preoperative (Time 1), hospital discharge (Time 2), and ≥6 months postoperative (Time 3). RV parameters included fractional area change (FAC), tricuspid annular plane systolic excursion (TAPSE), and tricuspid S′. LV parameters included left ventricular ejection fraction (LVEF), end-diastolic volume indexed to body surface area (LVEDVi), left ventricular stroke volume (LVSVi), and mitral E/E′. Subgroup analyses examined outcomes by prior Glenn, Starnes procedure, and degree of RV dilation. Paired two sample t-tests were used to compare serial measures. Results: Median age at surgery was 7.8 years (IQR: 2.3–17.7). All patients had discharge echocardiograms; 70 had follow-up studies at ≥6 months. RV function declined postoperatively with reductions in FAC (35% to 21%), TAPSE (2.0 to 0.8 cm), and S′ (13 to 5 cm/s), all p < 0.001. By Time 3, these measures improved (FAC to 29%, TAPSE to 1.3 cm, S′ to 7 cm/s) but did not fully return to baseline. LVEDVi and LVSVi increased significantly by Time 3 (LVEDVi: 47 to 54 mL/m²; LVSVi: 30 to 34 mL/m²; p < 0.001), while LVEF remained unchanged. Patients with prior Glenn or Starnes had greater Time 1 LV volumes and lower RV function, but by Time 3, most differences resolved. Moderate–severe preoperative RV dilation was associated with worse RV function at Time 2 and normalized by Time 3. Conclusions: The Da Silva Cone procedure leads to early postoperative RV dysfunction with partial recovery over the mid-term follow-up. Concurrently, LV filling and stroke volume improve, reflecting favorable interventricular interaction. These findings support echocardiographic surveillance to guide functional recovery post-Cone and inform patient counseling. Full article

DNA is inherently unstable and is susceptible to damage from both endogenous sources (such as reactive oxygen species) and exogenous factors (including UV, ionizing radiation, and chemicals). The accumulation of DNA damage manifests as genetic mutations, chromosomal instability, and the stalling of DNA replication and transcription processes. Accumulated DNA damage influences apoptosis and cell cycle checkpoints, serving as one of the key triggers for the manifestation of the senescent phenotype. Both aging and cancer are associated with the accumulation of mutations in somatic cells. Disruption of cell cycle control and uncontrolled proliferation are fundamental characteristics of any cancer cell, with the majority of anticancer drugs acting as inhibitors of cyclin-dependent kinases, thereby inducing a transition of cells into a senescent state. Consequently, disturbances in the dynamics and regulation of inflammatory responses, oxidative stress, cell proliferation, DNA damage repair, and epigenetic anomalies, along with the influence of retroviruses and transposons, lead to the accumulation of senescent cells within the human body, characterized by blocked replication and cell cycle, as well as a distinct secretory phenotype. The age-related or disease-associated accumulation of these senescent cells significantly alters the physiology of tissues and the organism as a whole. Many secondary metabolites of higher plants exhibit senolytic and senomorphic activities, although most of them are not fully characterized. In this review, we will explore the principal signaling pathways in mammalian cells that govern the cell cycle and cellular senescence, with a particular emphasis on how their dynamics, expression, and regulation have been modified through the application of senotherapeutic compounds. The second section of the review will identify key target genes for the metabolic engineering, primarily aimed at enhancing the accumulation of plant secondary metabolites with potential therapeutic benefits. Lastly, we will discuss the rationale for utilizing liver cells as a model system to investigate the effects of senolytic compounds on human physiology and health, as well as how senotherapeutic substances can be leveraged to improve gene therapy approaches based on CRISPR/Cas9 and prime-editing technologies. Full article

Connected and Autonomous Vehicles (CAVs) remain vulnerable to cyberattacks due to inherent security gaps in the Controller Area Network (CAN) protocol. We present a structured Python (3.11.13) framework that repairs structural inconsistencies in a public CAV dataset to improve the reliability of machine learning-based intrusion detection. We assess the effect of training data volume and compare Random Forest (RF) and Extreme Gradient Boosting (XGBoost) classifiers across four attack types: DoS, Fuzzy, RPM spoofing, and GEAR spoofing. XGBoost outperforms RF, achieving 99.2 % accuracy on the DoS dataset and 100 % accuracy on the Fuzzy, RPM, and GEAR datasets. The Synthetic Minority Oversampling Technique (SMOTE) further enhances minority-class detection without compromising overall performance. This methodology provides a generalizable framework for anomaly detection in other connected systems, including smart grids, autonomous defense platforms, and industrial control networks. Full article

Grass-covered levees commonly protect river and estuarine areas against flooding. Climate-induced water level changes may increasingly expose these levees to overflow events. This study investigates whether grass-covered levees can withstand such events, and under what conditions failure may occur. Between 2020 and 2022, full-scale overflow tests were conducted at the Living Lab Hedwige-Prosperpolder along the Dutch–Belgian Scheldt Estuary to assess erosion resistance under varying hydraulic conditions and vegetation states. A custom-built overflow generator was used, with instrumentation capturing flow velocity, water levels, and erosion progression. The results show that well-maintained levees with intact grass cover endured overflow durations up to 30 h despite high terminal flow velocities (4.9–7.7 m/s), without structural damage. In contrast, levee sections with pre-existing surface anomalies, such as animal burrows, slope irregularities, surface damage, or reed-covered soft soils, failed rapidly, often within one to two hours. Animal burrows facilitated subsurface flow and internal erosion, initiating fast, retrograde failure. These findings highlight the importance of preventive maintenance, particularly the timely detection and repair of anomalies. Once slope failure begins, the process unfolds rapidly, leaving no practical window for intervention. Full article

Hybrid-energy vessels offer significant advantages in reducing carbon emissions and air pollutants by integrating traditional internal combustion engines, electric motors, and new energy technologies. However, during operation, the high reliance of hybrid-energy ships on networks and communication systems poses serious data security risks. Meanwhile, the complexity of energy scheduling presents challenges in obtaining feasible solutions. To address these issues, this paper proposes an innovative two-stage security optimization scheduling framework aimed at simultaneously improving the security and economy of the system. Firstly, the framework employs a CNN-LSTM hybrid model (WOA-CNN-LSTM) optimized using the whale optimization algorithm to achieve real-time detection of false data injection attacks (FDIAs) and post-attack data recovery. By deeply mining the spatiotemporal characteristics of the measured data, the framework effectively identifies anomalies and repairs tampered data. Subsequently, based on the improved multi-objective whale optimization algorithm (IMOWOA), rapid optimization scheduling is conducted to ensure that the system can maintain an optimal operational state following an attack. Simulation results demonstrate that the proposed framework achieves a detection accuracy of 0.9864 and a recovery efficiency of 0.969 for anomaly data. Additionally, it reduces the ship’s operating cost, power loss, and carbon emissions by at least 1.96%, 5.67%, and 1.65%, respectively. Full article

Background and Objectives: Penile tissue loss, which can be an acquired condition due to trauma or infection, but is also seen in congenital anomalies, is a rare condition in children. A standard surgical approach is often not possible due to the different degrees and etiologies of penile tissue loss. The continuing growth and the presence of various congenital anomalies in children require a different penile reconstruction approach than in adults. We aimed to share our experience and surgical results with children in whom we performed penile reconstruction with different techniques due to penile tissue loss. Materials and Methods: Ten cases that underwent penile reconstruction between 2018 and 2023 were evaluated retrospectively. Age at initial operation, associated anomalies, surgical technique, and other related surgical attempts, as well as functional and cosmetic results, were recorded. Results: Ten boys aged between 6 months and 17 years underwent phalloplasty due to penile tissue absence. In six cases, penile tissue loss was due to acquired causes, and in four cases, congenital anomalies were the reason. The most common cause of penile tissue loss was circumcision complications. In four cases, penile reconstruction was achieved by mobilization of the remaining corpus cavernosum tissues, in two cases, the cavernous tissue was adequate and repaired with glansplasty and penile skin graft. Phalloplasty was performed by tubularization of a skin and subcutaneous fat flap, removed from the pubic region and scrotal region, in two cases. A microvascular radial forearm flap was performed in a 17-year-old patient with penile tissue loss because of trauma, and a free skin flap taken from the forearm was used for penile reconstruction. Thirty percent of patients required a second surgery. Urinary continence was present in eight of the cases. Although four cases were classified as cosmetically unsatisfactory in our evaluation, all patients and their families reported being satisfied with the cosmetic results. Conclusions: Penile reconstruction for penile tissue loss in children should be performed in clinics where different scenarios can be applied. With maximum preservation and mobilization of existing cavernous tissues, temporary penile reconstruction with local flaps should be performed in young children at an early stage to minimize the psychological effects of penile absence. Although an esthetically perfect result cannot be guaranteed, patients and families are generally satisfied with the outcome. Full article

Background and Objectives: The isthmocele is a pouch-shaped defect in the anterior uterine wall, site of a previous cesarean section, due to a scar defect or dehiscence. The prevalence could be underestimated, but the rate of cesarean section is still high in the world. The preferable technique to correct this anomaly is not clearly indicated in the literature. Our objective is to evaluate the literature on the surgical treatment of isthmocele in pre-Cesarean women treated with minimally invasive technique. Our hypothesis is that robotic treatment is more effective than other procedures in women desirous of having children. Materials and Methods: The words “isthmocele”, “laparoscopy”, “robot” and “cesarean scar pregnancy” were searched on the main online scientific search sources (PubMed, Google Scholar, Scopus, WES, and Embase, etc.). We included articles in English and French, chosen for the relevance to the topic. We have decided to include also surgical corrections of isthmocele linked to pregnancies at the site of the defect, with particular attention to video training explanation. Results: We analyzed the literature about the minimally invasive surgery for the repair of an isthmocele, evaluating 20 articles. Comparing several surgical techniques, robotic-assisted laparoscopy could be an effective method to correct the defect, without high risk of intraoperative complications. Conclusions: As indicated in the literature, robotic tailored excision and repair of isthmocele (and of concomitant cesarean scar pregnancy) could be advantageous and safe, and it is necessary to promote video-training about this technique. Full article

Laser-Directed Energy Deposition (LDED) has recently been widely used for 3D-printing metal components and repairing high-value parts. One key performance indicator of the LDED process is represented by melt pool stability and spatter behavior. In this research study, an off-axis vision monitoring system is employed to characterize spatter formation based on different anomalies in the process. This study utilizes a 1 kW fiber laser-based LDED system equipped with a monochrome high-dynamic-range (HDR) vision camera and an SP700 Near-IR/UV Block visible bandpass filter positioned at various locations. To extract meaningful features from the original images, a novel image processing algorithm is developed to quantify spatter counts, orientation, area, and distance from the melt pool under harsh conditions. Additionally, this study analyzes the average number of spatters for different laser power settings, revealing a strong positive correlation. Validation experiments confirm over 93% detection accuracy, underscoring the robustness of the image processing pipeline. Furthermore, spatter detection is employed to assess the impact of spatter formation on deposition continuity. This research study provides a method for detecting spatters, correlating them with LDED process parameters, and predicting deposit quality. Full article

Background and Aims: Esophageal atresia (EA) and tracheoesophageal fistula (TEF) are rare but serious congenital anomalies requiring early surgical intervention. Over the past two decades, minimally invasive surgical (MIS) approaches—particularly thoracoscopic repair—have gained traction, aiming to reduce postoperative morbidity while maintaining surgical efficacy. Objective: This narrative review provides a comprehensive overview of the evolution and current status of MIS techniques for EA/TEF, assessing their clinical outcomes, technical challenges, and implications for patient care. Methods: A structured literature search was conducted to identify clinical studies, reviews, and reports on thoracoscopic, robotic-assisted, and endoscopic approaches to EA/TEF. Emerging adjuncts, including tissue engineering, botulinum toxin use, and magnet-assisted anastomosis, were also reviewed. Results: Thoracoscopic repair has demonstrated comparable anastomotic success rates to open surgery (approximately 85–95%) with significantly reduced rates of musculoskeletal complications, such as scoliosis and chest wall deformities (reported in less than 10% of cases, compared to up to 40% in open approaches). Robotic-assisted and endoscopic-assisted techniques have enabled improved visualization and precision in anatomically challenging cases, although their use remains limited to high-resource centers with specialized expertise. Common postoperative complications include anastomotic stricture (30–50%), gastroesophageal reflux disease (35–70%), and respiratory morbidity, necessitating long-term multidisciplinary follow-up. Recent innovations in simulation-based training and bioengineered adjuncts have facilitated safer MIS adoption in neonates. Conclusions: Minimally invasive techniques have improved the surgical management of EA/TEF, though challenges remain regarding technical complexity, training, and resource availability. Continued innovation and collaborative research are essential for advancing care and ensuring optimal outcomes for affected infants. Full article

Discoid medial meniscus (DMM) is a rare congenital anomaly, with bilateral cases being even more uncommon. Due to its rarity, comprehensive data on its prevalence, clinical presentation, and optimal management strategies are limited. This study aimed to evaluate the prevalence, clinical characteristics, and treatment outcomes of symptomatic DMM in a pediatric population. A retrospective review was conducted on patients under 18 years of age diagnosed with symptomatic DMM. Data were extracted using ICD-10 codes Q68.6 and M23.16 and were supplemented by free-text searches. The inclusion criteria encompassed a confirmed DMM diagnosis, availability of MRI and radiographic imaging, complete clinical documentation, and a minimum of six months of postoperative follow-up. Demographic data, clinical presentations, imaging findings, surgical interventions, and outcomes were analyzed. Three patients (five knees) met the inclusion criteria. All presented with symptomatic DMM requiring surgical intervention. Arthroscopic saucerization combined with meniscal repair was performed in all cases. Postoperative follow-up revealed that two of the patients achieved excellent outcomes, while one required three reoperations due to retearing but remained symptom-free at one year post-revision. Radiographic assessments did not reveal characteristic changes typically associated with DMM. Symptomatic DMM, though rare, may be encountered more frequently than previously reported, especially when focusing on symptomatic cases. Arthroscopic saucerization with concurrent meniscal repair appears to be an effective treatment modality, yielding favorable mid-term outcomes. Given the limited number of cases and the variability in their presentations, further research with larger cohorts is essential to establish standardized management protocols and to better understand the long-term prognosis of patients with this rare condition. Full article

Congenital defects are among the leading causes of neonatal mortality in small animals. Among them, cleft palate is one of the most commonly found malformations in dogs. Appropriate clinical management and surgical correction are determining factors for the survival of puppies affected by this alteration. Thus, the objective of this study is to describe 10 clinical cases of successful clinical management of cleft palate, highlighting the therapeutic strategies used, the results obtained, and the evolution of patients after treatment. Ten neonatal dogs of three breeds were treated by the Small Animal Reproduction Service of FMVZ, Unesp—Botucatu: French Bulldog (6), Pug (3), and American Bully (1) presented with cleft palate at birth or during the first week of age. Patients underwent clinical and nutritional management, in addition to immunological support. At four months of age, the patients underwent medially positioned flap repair. The animals were fed via an esophageal tube for 10 days after surgery. The clinical management proved to be effective since, throughout the follow-up, the animals showed good development and did not present complications arising from the cleft palate, and the surgical procedures were successful, restoring the quality of life of the animals. Full article

Introduction: Congenital duodenal atresia (DA) (Type I) with a fenestrated web can be characterized by a late presentation with a delayed diagnosis. It is even rarer and usually associated with proximal duodenomegaly. Conventional management involves web resection and duodeno–duodeno anastomosis with or without duodenoplasty. We describe our mininvasive surgical strategy and management, detailing the aspects of laparoscopic techniques. Material and Methods: We retrospectively reviewed the medical records of five patients affected by fenestrated duodenal web (DA) with a delayed onset of symptoms and diagnosis who were managed in our Department over a period of 10 years (2013–2023). We analyzed the age of patients at diagnosis, clinical signs and symptoms, associated congenital anomalies, radiological and intraoperative findings, surgical treatment, and outcomes. Diagnostic examinations included ultrasound (US), Upper-Gastrointestinal Study (UGI), and Esophagogastroduodenoscopy (EGDS). Results: Three boys and two girls, median age of 5.5 months (range 3–11 months), were included in this study. Three underwent previous surgery for long-gap esophageal atresia (EA), two of Type A, and one of Type C, requiring a gastrostomy immediately after birth (delayed esophageal repair for prematurity in Type C) and subsequent delayed primary anastomosis. Major associated anomalies were EA (3), anterior ectopic anus (1), cloaca (1), and Type IV laryngeal web (1). An antenatal diagnostic suspicion of duodenal atresia (obstruction) on ultrasound was described in two patients. UGI suggested a fenestrated duodenal web, visualized at ultrasound in two patients. Duodenal dilation was associated in two cases. The symptoms were feeding difficulties, nonbilious vomiting, upper abdominal distension, and poor growth. All presented with a pre-ampullary obstruction. Endoscopic confirmation was only possible in one patient. The older patient underwent an endoscopic resection of a duodenal web. In the other four, we performed a laparoscopic longitudinal antimesenteric duodenal incision, web resection (excision), and transverse suture (closure was performed) without duodenoplasty. Intraduodenal Indocyanine Green (ICG) visualization (under near-infrared light) was used in the last two cases. No postoperative complications were recorded, with a mean hospital stay of 8 days. A contrast study performed at 4 weeks demonstrated an improved proximal duodenal profile; patients tolerated a full diet and remained symptom-free. Conclusions: According to our experience with minimally invasive techniques, laparoscopy and endoscopy are effective and safe, supporting web resection for the management of a duodenal web without tapering of the proximal duodenum. They require advanced technical skills. Intraduodenal-ICG injection during laparoscopic treatment of Type 1 DA allows localization of the duodenal web, confirmation of bowel patency (bowel canalization) and the tightness of suture. Full article

With the development of UAV technology, the composition of UAVs has become increasingly complex, interconnected, and tightly coupled. Fault features are characterized by weakness, nonlinearity, coupling, and uncertainty. A promising approach is the use of deep learning methods, which can effectively extract useful diagnostic information from weak, coupled, nonlinear data from inputs with background noise. However, due to the diversity of flight environments and missions, the distribution of the obtained sample data varies. The types of fault data and corresponding labels under different conditions are unknown, and it is time-consuming and expensive to label sample data. These challenges reduce the performance of traditional deep learning models in anomaly detection. To overcome these challenges, a novel weighted-transfer domain-adaptation network (WTDAN) method is introduced to realize the online anomaly detection and fault diagnosis of UAV electromagnetic-sensitive flight data. The method is based on unsupervised transfer learning, which can transfer the knowledge learnt from existing datasets to solve problems in the target domain. The method contains three novel multiscale modules: a feature extractor, used to extract multidimensional features from the input; a domain discriminator, used to improve the imbalance of the data distribution between the source domain and the target domain; and a label classifier, used to classify data categories for the target domain. Multilayer domain adaptation is used to reduce the distance between the source domain datasets and the target domain datasets distributions. The WTDAN assigns different weights to the source domain samples in order to weight the different contributions of source samples to solve the problem during the training process. The dataset adopts not only open datasets from the website but also test datasets from experiments to evaluate the transferability of the proposed WTDAN model. The experimental results show that, under the condition of fewer anomalous target data samples, the proposed method had a classification accuracy of up to 90%, which is higher than that of the other compared methods, and performed with superior transferability on the cross-domain datasets. The capability of fault diagnosis can provide a novel method for online anomaly detection and the prognostics and health management (PHM) of UAVs, which, in turn, would improve the reliability, repairability, and safety of UAV systems. Full article