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Comparable neural and behavioural performance in dominant and non-dominant hands during grasping tasks
Post-integration based point-line feature visual SLAM in low-texture environments
Abstract To address the issues of weak robustness and low accuracy of traditional SLAM data processing algorithms in weak texture environments such as low light and low contrast, this paper first studies and improves the data feature extraction method, optimizing the AGAST-based feature extraction algorithm to adaptively adjust the extraction threshold according to the gradient size of different data features. Meanwhile, a fusion-based incremental loop closure detection method is proposed, which integrates the similarity scores of multi-dimensional data features based on the Borda counting strategy, thereby enhancing the accuracy of loop closure detection. The performance of loop closure detection was evaluated on public datasets (such as KITTI sequences 00, 05, and 06), achieving an average AP value of 92.03%. The overall system performance was evaluated on the EuRoC dataset, with the results showing a root mean square error range from 0.0061 to 0.0281 m, demonstrating the excellent accuracy and robustness of the proposed method in large-scale data processing.
A software reliability model for open source big data systems based on Weibull–Weibull distribution
Comprehensive single-cell transcriptome analysis of autologous platelet-rich plasma therapy on human thin endometrium
Influence of particle size and dielectric environment on radiative lifetimes of colloidal cadmium selenide single photon emitters
Abstract High repetition rate single-photon emitters are essential for all-optical quantum information processing, communications and metrology. The spontaneous emission lifetimes of colloidal cadmium selenide quantum dots are typically of the order of 10 ns, severely limiting their brightness and therefore their potential applications in quantum devices. Here we report on single-photon emission at room temperature with nanosecond lifetime from cadmium selenide quantum dots embedded in a polymer matrix. The study shows that the emission lifetime can be tuned by appropriately choosing the particle size and the dielectric constant of the surrounding medium. The quantum dots are synthesized using a green synthesis protocol and surface passivated using oleic acid. A Hanbury Brown and Twiss setup attached to an in-house constructed confocal microscope is used to efficiently couple and characterize the single-photon emission from an array of quantum dots. Detailed analysis of the second-order correlation function ( $$g^{(2)}(\tau )$$ ) of single-photon emission from cadmium selenide quantum dots reveals the particle-size dependence of emission lifetimes. The study also shows that the quality of single-photon emission, as revealed by $$g^{(2)}(0)$$ , reduces with increasing particle-size in the strongly confined regime.
Performance of ChatGPT and Microsoft Copilot in Bing in answering obstetric ultrasound questions and analyzing obstetric ultrasound reports
Abstract To evaluate and compare the performance of publicly available ChatGPT-3.5, ChatGPT-4.0 and Microsoft Copilot in Bing (Copilot) in answering obstetric ultrasound questions and analyzing obstetric ultrasound reports. Twenty questions related to obstetric ultrasound were answered and 110 obstetric ultrasound reports were analyzed by ChatGPT-3.5, ChatGPT-4.0 and Copilot, with each question and report being posed three times to them at different times. The accuracy and consistency of each response to twenty questions and each analysis result in the report were evaluated and compared. In answering twenty questions, both ChatGPT-3.5 and ChatGPT-4.0 outperformed Copilot in accuracy (95.0% vs. 80.0%) and consistency (90.0% and 85.0% vs. 75.0%). However, no statistical difference was found among them. When analyzing obstetric ultrasound reports, ChatGPT-3.5 and ChatGPT-4.0 demonstrated superior accuracy compared to Copilot ( P < 0.05), and all three showed high consistency and the ability to provide recommendations. The overall accuracy and consistency of ChatGPT-3.5, ChatGPT-4.0, and Copilot were 83.86%, 84.13% vs. 77.51% in accuracy, and 87.30%, 93.65% vs. 90.48% in consistency, respectively. These large language models (ChatGPT-3.5, ChatGPT-4.0 and Copilot) have the potential to assist clinical workflows by enhancing patient education and patient clinical communication around common obstetric ultrasound issues. With inconsistent and sometimes inaccurate responses, along with cybersecurity concerns, physician supervision is crucial in the use of these models.
Therapeutic effects and potential mechanisms of caffeine on obese polycystic ovary syndrome: bioinformatic analysis and experimental validation
Prior therapeutic experiences and treatment expectations are differentially associated with pain-related disability in individuals with chronic pain
Abstract Many individuals suffering from chronic pain do not benefit sufficiently from treatment. Prior treatment experiences and treatment expectations play a significant role in perceived symptom severity and treatment-related outcomes in many chronic diseases. Their role in chronic pain, however, remains underexplored. Therefore, the present study investigated the role of treatment experiences and treatment expectations for pain-related disability in individuals suffering from chronic pain. Participants suffering from chronic pain who were receiving treatment (pharmacotherapy, physiotherapy, and/or psychotherapy) completed questionnaires as part of an online survey. Prior improvement, worsening, and side effect experiences and their relation with treatment expectations were assessed with the generic rating scale for previous treatment experiences, treatment expectations, and treatment effects (GEEE), and pain-related disability via the pain disability questionnaire (PDI). Multiple linear regressions were performed to determine how prior treatment experiences related to treatment expectations and whether prior experiences and current treatment expectations were associated with pain-related disability. In total, 212 participants (86.3% female) were included. Prior worsening experience as well as stronger worsening and side effect expectations were associated with higher pain-related disability. Screening patients for different expectation domains could be an important strategy to detect and target potentially relevant factors influencing pain-related disability and treatment outcome.
Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery
Application and optimization of BP prediction model driven by internet of things in tourism education
A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques
Production performance and stability of mixed forage grasslands improved by planting proportion and mode in Horqin sandy land, China
An experimental study of levamisole incorporated diet on fish health and resistance against Pseudomonas aeruginosa isolated from Oreochromas niloticus
Abstract Pseudomonas aeruginosa (P. aeruginosa) is one of the most common ones that harm fish. P. aeruginosa has been regarded as one of the most significant threats to the fishing industry, which also affects public health. Thus, the present investigation was done in two steps; the first step was to examine the prevalence and the antibiogram of P. aeruginosa among Nile tilapia (Oreochromas niloticus (O. niloticus)) from aquaculture farms in Kafr El-shiekh Governorate with an emphasis on their antibiotic resistance genes (BlaTEM, tetA, and sul1). The second step was to investigate the effect of levamisole as a feed supplement for tilapia fish on growth performance, immunity, serum biochemistry, and the protective effect against artificial infection with the previously isolated in the first step P. aeruginosa strain. One hundred samples were collected from morbid Nile tilapia fish in the first step. The incidence of P. aeruginosa was 14%. Susceptibility of P. aeruginosa isolates to 9 antimicrobial agents showed that about half of P. aeruginosa isolates were multidrug-resistant (MDR) to (5–6) antibiotics. All of the isolates were sensitive to amikacin, ciprofloxacin, and norfloxacin (100%), and half of them were resistant to azithromycin, amoxicillin with clavulanic, tetracycline, and sulfa with trimethoprim. P. aeruginosa isolates were confirmed diagnosed using the 16S rRNA gene, which was detected in 100% of the tested isolates, and was also evaluated for the presence of antibiotic resistance genes (blaTEM, tetA, and sul1), which were 85.7%, 85.7%, and 100%, respectively. In the second step, a 2-month feeding trial was performed on 160 O. niloticus fish with a weight of 56.75 ± 3 g. Fish were randomly distributed into four groups, each at a rate of 10 fish per aquarium in four replicates, and fed on a diet containing 0.0, 500, 750, and 1000 mg levamisole/kg diet. At the end of the feeding trial, fish were challenged by pathogenic P. aeruginosa, which was isolated in the first step. The results of the in vivo trial showed that levamisole safely improved the growth and immunity of Nile tilapia without side effects on liver function.
Merging microencapsulated garlic extract as a bioactive ingredient into manufacturing functional soft cheese
Abstract The study aimed to produce a functional soft cheese with garlic extract (GE). First, the GE was encapsulated using gum Arabic (GA) and whey protein isolate, and its characteristics [zeta-potential, particle size, Coacervates yield, Encapsulation efficiency and polydispersity index, scanning electron microscope (SEM)] were evaluated. The free GE (FGE) and encapsulated GE (EGE) were then added to UF-soft cheese formulation (0.2 and 0.4% w/w). The samples were kept for 30 days in a refrigerator and their physicochemical, sensory properties, Texture profile, SEM and radical-scavenging activity were examined. EGE UF-soft cheese exhibited more free-radical scavenging activity than FGE at the same concentration and control, 25.14, 22.12, and 13.64%, respectively. The EGE-fortified cheese had a harder and gummier texture, a more noticeable change than the FGE and control cheese. In comparison to FGE-fortified and control, the sensory attribute representing overall quality, especially that fortified with 0.2% EGE displays the highest value. The study demonstrates that the use of EGE in cheese fortification provides a healthy and promising approach to reducing the strong flavor of garlic and enhancing bioactivity in the production of functional soft cheese, offering up novel opportunities for the development of distinctive dairy products with functional features.