Search Results (261)

Pre-harvest sprouting (PHS) is a complex abiotic stress caused by multiple exogenous and endogenous variables that results in random but significant quality and yield loss at the terminal crop stage in more than half of the wheat-producing areas of the world. Systematic research over more than five decades suggests that addressing this challenge requires tools beyond the traditional genetic manipulation approach. Previous molecular studies indicate a possible role of epigenetics in the regulation of seed dormancy and PHS in crops, especially through RNA-directed DNA methylation (RdDM) pathways mediated by Argonaute (AGO) proteins. In this study, we explore the role of the AGO802B gene associated with PHS resistance in wheat, through the presence of a SINE retrotransposon insertion. The current study found the SINE insertion at 3′UTR of the TaAGO802B present in 73.2% of 41 cultivars analyzed and in 92.6% of the resistant cultivar subset. The average expression of TaAGO802B in cultivars with the SINE insertion was 73.3% lower than in cultivars without insertion. This study also indicated a significant positive correlation between the PHS score and methylation levels in the cultivars. The resistant cultivars with the SINE insertion recorded 54.7% lower methylation levels than susceptible cultivars. Further analysis of a DH population (Sadash × P2711) reveals that SINE insertion co-segregates with PHS resistance. This sets forth the SINE insertion in TaAGO802B as a genetic marker for screening wheat germplasm and as an efficient tool for breeding PHS-resistant wheat cultivars. Full article

Finding the highest possible cardinality, $A_q(n,d;k)$, of the set of k-dimensional subspaces in ${\mathbb{F}}_q^n$, also known as codewords, is a fundamental problem in constant dimension codes (CDCs). CDCs find applications in a number of domains, including distributed storage, cryptography, and random linear network coding. The goal of recent research papers has been to establish $A_q(n,d;k).$ We further improved the echelon-Ferrers construction with an algorithm, and enhanced the inserting construction by swapping specified columns of the generator matrix to obtain new lower bounds. Full article

Electrical arc fault detector development requires many tests to develop and validate detection algorithms. The use of artificial intelligence or mathematical transformation requires the use of consequential datasets of current signatures corresponding to as many different situations as possible. In addition, one of the main drawbacks is that these experiments take a great deal of time and are often laborious in the laboratory. To overcome these limitations, a virtual test bench based on the modeling of a modular 230 VAC electrical circuit has been developed. The simulated network is composed of different home appliances (resistor, vacuum cleaner, dimmer, etc.) and its configurations are those of single and combined loads. The fault modeled is an electric arc, modeled by active diode switching, which can be inserted at any point of the circuit. This arc model takes into account the random variations in the restrike and arc voltage. All the appliance models are validated by comparing the frequential (harmonic distortion) and temporal (agreement index) signatures of the measured currents in real situations to those obtained by modeling. The results obtained using the model and experiment network show that the current signatures are comparable in both cases. Further, two detection algorithms are tested on those current signatures obtained by the modeling and experimentation. The results are comparable and provide identical detection thresholds. Full article

Background: Previous data suggested that the outcomes for liver-alone transplant recipients following transjugular intrahepatic portosystemic shunt (TIPS) insertion were comparable to those without TIPS. This study investigates the association between TIPS and outcomes among simultaneous liver–kidney (SLK) recipients in the United States. Methods: Utilizing the Scientific Registry for Transplant Recipients (SRTR) standard analysis file from 2003 to 2022, we examined 9717 adult SLK recipients, among whom 858 had undergone TIPS before transplantation. Kaplan–Meier curves were generated to assess recipient and death-censored liver and kidney graft survival. Mixed-effects Cox proportional hazard models were employed to analyze the association between TIPS and the outcomes of interest, where the transplant center was treated as a random effect. The models were adjusted for recipient age, sex, MELD score, diabetes, duration of listing, induction, steroid maintenance, hepatitis C status, donor age, donor sex, cold ischemia time, local vs. shipped organs, and allocation era. Results: Overall, the two groups were comparable, with minor differences. Notably, the median liver waiting time was significantly longer in the TIPS group compared to the non-TIPS group (4.1 vs. 2 months, p < 0.001). One-year rejection rates for liver and kidney allografts did not differ significantly between groups. Univariable Cox regression analyses demonstrated no association between TIPS and worse outcomes for recipient, liver, and kidney survival (p = 0.65, p = 0.22, and p = 0.54, respectively). TIPS did not emerge as a predictor of recipient or death-censored liver or kidney graft survival in multivariable models. Conclusion: In this extensive national cohort of SLK transplant recipients, pre-transplant TIPS was not linked to adverse outcomes for recipients or their allografts. Full article

This study introduces a machine learning (ML) approach to diagnosing carotid artery diseases, including stenosis, aneurysm, and dissection, by leveraging craniocervical computed tomography angiography (CTA) data. A meticulously curated, balanced dataset of 122 patient cases was used, ensuring reproducibility and data quality, and this is publicly accessible at (insert dataset location). The proposed method integrates a super learner model which combines adaptive boosting, gradient boosting, and random forests algorithms, achieving an accuracy of $90\%$. To enhance model robustness and generalization, techniques such as k-fold cross-validation, bootstrapping, data augmentation, and the synthetic minority oversampling technique (SMOTE) were applied, expanding the dataset to 1000 instances and significantly improving performance for minority classes like aneurysm and dissection. The results highlight the pivotal role of blood vessel structural analysis in diagnosing carotid artery diseases and demonstrate the superior performance of the super learner model in comparison with state-of-the-art (SOTA) methods in terms of both accuracy and robustness. This manuscript outlines the methodology, compares the results with state-of-the-art approaches, and provides insights for future research directions in applying machine learning to medical diagnostics. Full article

Robotic systems are crucial in modern manufacturing. Complex assembly tasks require the collaboration of multiple robots. Their orchestration is challenging due to tight tolerances and precision requirements. In this work, we set up two Franka Panda robots performing a peg-in-hole insertion task of 1 mm clearance. We structure the control system hierarchically, planning the robots’ feedback-based trajectories with a central policy trained with reinforcement learning. These trajectories are executed by a low-level impedance controller on each robot. To enhance training convergence, we use reverse curriculum learning, novel for such a two-armed control task, iteratively structured with a minimum requirements and fine-tuning phase. We incorporate domain randomization, varying initial joint configurations of the task for generalization of the applicability. After training, we test the system in a simulation, discovering the impact of curriculum parameters on the emerging process time and its variance. Finally, we transfer the trained model to the real-world, resulting in a small decrease in task duration. Comparing our approach to classical path planning and control shows a decrease in process time, but higher robustness towards calibration errors. Full article

Background: Photobiomodulation (PBM) is a non-invasive procedure used to manage pain and inflammation. The aim of this study is to quantitatively measure pain and inflammation and to compare the proposed PBM treatment with a simulated treatment (PBM-SHAM) in patients with dental implants. Materials and Methods: A total of 62 patients were included and randomized into two groups. Group 1 (PBM) consisted of 31 patients subjected to the insertion of dental implants and a single intraoral PBM session with an EPIC X Biolase (0.5 W and 15 J/cm²) diode laser. Group II (PBM-SHAM) included 31 patients subjected to dental implants and a simulated PBM. Each patient was given a document with visual analog scales (VASs) to record pain and inflammation during the 7 days post-surgery. The patients were assessed at the end of the week to remove the sutures, to collect the VASs, and to re-evaluate the surveys. Results: Through the use of mixed effects models, it was found that the length of time after the surgery and the number of implants placed during the intervention were important variables that had an influence on pain and inflammation. Conclusions: PBM is a non-invasive and safe treatment. Postoperative pain and inflammation associated with implant surgery decreased in a similar manner over time, independently of the application of PBM. Therefore, more randomized studies are needed with a standardized methodology to adequately assess the efficacy of this therapy. Full article

An ambitious per capita GDP target has been envisioned by the Chinese government since 2020 to project its sustainable economic growth rate by 2035. Can China fully achieve its goal? This is a question worth investigating. By inserting relevant TABLO modules of the final goods trade, the intermediate goods trade, and factor-strengthening technology spillovers, along with technology absorption thresholds effects of the global value chain, this study builds a global recursive dynamic computational general equilibrium (CGE) model on the basis of GTAP-RD. This approach enables us to consider total factor productivity (TFP) development through the “dual circulation” system, which was pointed out by the Chinese government as the only way for further growth. We simulate China’s technological progress under eight scenarios and use the latest GTAP Version 11 production and trade data (released in April 2023) for 141 countries and regions. The main conclusions are as follows: (1) If China maintains its trade opening policy, the 2035 vision goal can be achieved, with external circulation being more important than internal circulation. (2) The economic growth impacts of external and internal circulation function relatively independently. FDI offers a somewhat stronger synergistic effect on intermediate goods trade compared to final goods trade and consumption. (3) We find that the Regional Comprehensive Economic Partnership is the most important strategic partner for China. (4) FDI is not an effective way to lift the productive services sector’s TFP, and it is more realistic for China to open up the productive services market more widely. (5) China–US decoupling has an enormous global impact, and the United States is always the country that loses the most, with Europe being the group of countries that benefits when there is a large increase in TFP in the US. This study is entirely original in terms of its model structure, simulations, scenarios, and shocks. It aims to fill the gap of extending the application of the CGE model to specific issues, thereby making contributions and supplements to the three theories discussed in the article too. The limitation of this paper lies in the CGE linear description feature, which is concise and elegant and has the characteristics of extrapolation and long-term absorption of disturbances. However, it tends to overlook the randomness, non-convergence, and significant structural disturbances that may occur in future reality. Full article

Background/Objective: Virtual reality (VR) technology has been reported as effective in mitigating fear, anxiety, and pain in children undergoing various medical procedures. Our aim was to test the effectiveness of non-sponge-coated mobile phone-operated VR goggles approved by infectious diseases (ID) control in pediatric surgical patients. Methods: A prospective randomized trial in which pre-procedural and post-procedural heart rate, fear, and anxiety, and post-procedural pain were measured in pediatric surgical patients assigned to receive standard care versus standard care and VR goggles. The patients underwent line insertions, peripheral venipunctures for blood draws, drain removals, and wound care. Results: The control group and the intention-to-treat group were each randomly assigned twenty-four patients. Since eight patients who received VR goggles removed them prior to completion of the procedure, the study group included sixteen patients. In the study group, heart rate, fear, and anxiety scores were significantly lower after the procedure as compared to prior to the procedure. In the control group, these parameters were similar before and after the procedure. Post-procedural decrease in fear and anxiety was significant when comparing VR to control. However, despite better post-procedural physiological and emotional scores in the VR group as compared to control, the differences were not statistically significant. Pre-procedural anxiety was significantly higher in the study group. Conclusions: ID-approved VR goggles can reduce fear and anxiety associated with procedures commonly performed in pedicatric surgical patients. However, since increased baseline anxiety might be associated with VR, a higher benefit might be achieved if goggles were worn only by children who express a clear desire to use them. Full article

Objective: This meta-analysis aims to quantitatively summarize current data on various potential risk factors of velamentous cord insertion (VCI). A better understanding of these risk factors could enhance prenatal identification both in settings with routine screening and in those where universal screening for cord insertion anomalies is not yet recommended. Methods: A systematic search was conducted in MEDLINE, Cochrane Library, and Scopus from their inception until 7 February 2024. Eligible studies included observational studies of singleton pregnancies with VCI, identified either prenatally or postnatally, compared with pregnancies with central or eccentric cord insertion. Analyses were performed using DerSimonian and Laird random-effects models, with outcomes reported as risk ratios (RR) or mean differences with 95% confidence intervals (CI). Results: In total, 14 cohort and 4 case-control studies were included, reporting on 952,163 singleton pregnancies. Based on the cohort studies, the overall prevalence of VCI among singleton pregnancies was calculated to be 1.54%. The risk of VCI was significantly higher among pregnancies conceived using assisted reproductive technology (RR, 2.32; 95% CI: 1.77–3.05), nulliparous women (RR, 1.21; 95% CI: 1.15–1.28), women who smoked (RR, 1.14; 95% CI: 1.08–1.19), and pregnancies diagnosed with placenta previa (RR, 3.60; 95% CI: 3.04–4.28). Conclusions: This meta-analysis identified assisted reproductive technology, nulliparity, smoking, and placenta previa as significant risk factors of VCI among singleton pregnancies. These findings could inform screening policies in settings where universal screening for cord insertion is not routinely performed, suggesting a targeted approach for women with these specific risk factors. Full article

Objective: This randomized controlled split-mouth trial compared the performance of 5.5 mm length implants (test group; TG) splinted within the same fixed prosthesis as longer implants (≥6.5 mm; control group; CG) in posterior regions. Methods: The primary hypothesis was that implant length does not affect marginal bone loss (MBL) one year post-implantation, while the secondary hypotheses included implant survival, peri-implant clinical variables, and prosthetic complications. Fifteen patients (eight males, seven females) with a mean age of 67 ± 9 years were included. Results: No significant difference in the implant position between groups (p = 0.808) was observed. Implant diameters ranged from 3.00 to 4.25 mm, and the most common bone type was type I (67%). Bone density (p = 0.574) and implant insertion torque (p = 0.888) were similar between groups. Mesial MBL (mean: −0.1; range: −1.19 to 0.24 for TG, and −0.03; −1.75 to 0.45 for CG; p = 0.955) and distal MBL (mean: −0.05; range: −1.41 to 0.27 for TG, and 0.08; −1.45 to 0.72 for CG; p = 0.118) did not show statistical differences. There were no implant failures or technical complications. Conclusions: These findings suggest that 5.5 mm length implants could be a viable option for use in posterior regions, providing similar clinical outcomes to longer implants one year post-implantation. Full article

Background: The conventional double-lumen tube (DLT) insertion method requires a rotatory maneuver that was developed using direct laryngoscopy and may not be optimal for video laryngoscopy. This study compared a new non-rotatory maneuver with the conventional method for DLT insertion using video laryngoscopy. Methods: Patients scheduled for thoracic surgery requiring one-lung ventilation were randomly assigned to either the rotating (R) or non-rotating (NR) method groups. All patients were intubated using a customized rigid J-shaped stylet, a video laryngoscope, and a left-sided silicone DLT. The conventional rotatory maneuver was performed in the R group. In the NR group, the stylet was inserted with its tip oriented anteriorly (12 o’clock direction) while maintaining the bronchial lumen towards the left (9 o’clock direction). After reaching the glottic opening, the tube was inserted using a non-rotatory maneuver, maintaining the initial orientation. The primary endpoint was the intubation time. Secondary endpoints included first-trial success rate, sore throat, hoarseness, and airway injury. Results: Ninety patients (forty-five in each group) were included. The intubation time was significantly shorter in the NR group compared to the R group (22.0 [17.0, 30.0] s vs. 28.0 [22.0, 34.0] s, respectively), with a median difference of 6 s (95% confidence interval [CI], 3–11 s; p = 0.017). The NR group had a higher first-attempt success rate and a lower incidence of sore throats. Conclusions: The non-rotatory technique with video laryngoscopy significantly reduced intubation time and improved first-attempt success rate, offering a viable and potentially superior alternative to the conventional rotatory technique. Full article

Smart contracts are programs that reside and execute on a blockchain, like any transaction. They are automatically executed when preprogrammed terms and conditions are met. Although the smart contract (SC) must be presented in the blockchain for the integrity of data and transactions stored within it, it is highly exposed to several vulnerabilities attackers exploit to access the data. In this paper, classification and detection of vulnerabilities targeting smart contracts are performed using deep learning algorithms over two datasets containing 12,253 smart contracts. These contracts are converted into RGB and Grayscale images and then inserted into Residual Network (ResNet50), Visual Geometry Group-19 (VGG19), Dense Convolutional Network (DenseNet201), k-nearest Neighbors (KNN), and Random Forest (RF) algorithms for binary and multi-label classification. A comprehensive analysis is conducted to detect and classify vulnerabilities using different performance metrics. The performance of these algorithms was outstanding, accurately classifying vulnerabilities with high F1 scores and accuracy rates. For binary classification, RF emerged in RGB images as the best algorithm based on the highest F1 score of 86.66% and accuracy of 86.66%. Moving on to multi-label classification, VGG19 stood out in RGB images as the standout algorithm, achieving an impressive accuracy of 89.14% and an F1 score of 85.87%. To the best of our knowledge, and according to the available literature, this study is the first to investigate binary classification of vulnerabilities targeting Ethereum smart contracts, and the experimental results of the proposed methodology for multi-label vulnerability classification outperform existing literature. Full article

The study reviewed the state of the art of the clinical use of a convergent-neck-designed Prama implant. This implant was introduced approximately 10 years ago and was characterized by a specific and unique convergent neck with a microtextured surface (UTM surface) and Zirconium Titanium (ZirTi) implant body surface. The neck design was developed to adopt the biologically oriented preparation technique (BOPT). A critical analysis of the published clinical studies and an evaluation of the adopted clinical protocols were performed. A total of forty-six articles were eligible to be reviewed. Only sixteen clinical studies reported clinical outcomes on Prama implants, and nine of these were selected having the longest follow-up from different research groups. The clinical follow-up/duration of the studies ranged from 12 months to 6 years. The initially proposed protocols explored neck supracrestal–transmucosal placement and gained interest due to its minimally invasive concept and the ability to proceed without a pre-prosthesis second surgery. The following investigations dedicated attention to the subcrestal or equicrestal implant placement with the conventional flap approach. The clinical studies characterized by the transmucosal exposed neck approach reported high survival rates with a stable bone morphology and reduced bone loss during the follow-up. Further recent implementations included the introduction of different convergent neck heights that need to be evaluated. The use of intraoral scanner technologies and digital workflow resulted in a simpler methodology with control of the marginal crown morphology. The studies support the concept that the hard tissue parameters (such as marginal bone level, MBL) and soft tissue parameters (such as pink esthetic score, PES) were stable or improved during the follow-up. Definitive crowns, designed with low invasiveness for soft tissues, were possible thanks to the morphology of the neck. The clinical studies support the use of the Prama implant with the different neck positions, demonstrating hard tissue preservation and optimal esthetic results in the first years following insertion. However, the current body of evidence is not robust enough to draw definitive conclusions, especially in the long term, and further high-quality research (long-term randomized trials) is required to consolidate these early observations. Full article

Following Dirac’s notation in Quantum Mechanics (QM), we propose the Probability Bracket Notation (PBN), by defining a probability-bra (P-bra), P-ket, P-bracket, P-identity, etc. Using the PBN, many formulae, such as normalizations and expectations in systems of one or more random variables, can now be written in abstract basis-independent expressions, which are easy to expand by inserting a proper P-identity. The time evolution of homogeneous Markov processes can also be formatted in such a way. Our system P-kets are identified with probability vectors and our P-bra system is comparable with Doi’s state function or Peliti’s standard bra. In the Heisenberg picture of the PBN, a random variable becomes a stochastic process, and the Chapman–Kolmogorov equations are obtained by inserting a time-dependent P-identity. Also, some QM expressions in Dirac notation are naturally transformed to probability expressions in PBN by a special Wick rotation. Potential applications show the usefulness of the PBN beyond the constrained domain and range of Hermitian operators on Hilbert Spaces in QM all the way to IT. Full article