Browse Articles
Discover research articles across all indexed journals
Detection of illegal wells using advanced GIS analysis through Landsat 8 and Sentinel-2 image fusion in Bastam, Iran
Insights into the role of hnRNPK in spermatogenesis via the piRNA pathway
A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity
A hybrid time series forecasting approach integrating fuzzy clustering and machine learning for enhanced power consumption prediction
Predictive methods for CO2 emissions and energy use in vehicles at intersections
A superresolution-enhanced spectrometer beyond the Cramer–Rao bound in phase sensitivity
Genomics of novel influenza A virus (H18N12) in bats, Caribe Colombia
The relationship between red blood cell distribution width and long-term prognosis of asthma: a population-based study
Feasibility and comparison of 3D modified rosette ultra-short echo time (PETALUTE) with conventional weighted acquisition in 31P-MRSI
Abstract Phosphorus-31 magnetic resonance spectroscopic imaging ( 31 P-MRSI) provides valuable non-invasivein vivoinformation on tissue metabolism but is burdened by poor sensitivity and prolonged scan duration. Ultra-short echo time (UTE) acquisitions minimize signal loss when probing signals with relatively short spin-spin relaxation time (T 2 ), while also preventing first-order dephasing. Here, a three-dimensional (3D) UTE sequence with a rosette k-space trajectory (PETALUTE) is applied to 31 P-MRSI at 3T. Conventional weighted MRSI employs highly regular Cartesian k-space sampling, susceptible to substantial artifacts when accelerated via undersampling. In contrast, this novel sequence’s “petal-like” pattern offers incoherent sampling more suitable for compressed sensing (CS). These results showcase the competitive performance of PETALUTE against conventional weighted 31 P-MRSI with simulation, phantom, and in vivo leg muscle comparisons.
Association between systemic immune inflammation index and adolescent obesity in a cross-sectional analysis
Abstract Obesity is a prevalent health issue among adolescents, characterized by chronic low-grade inflammation, which increases the risk of developing various chronic diseases in the future. The systemic immune-inflammation index (SII) serves as an indicator of inflammation and immune response. This study conducted a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2016, including 5,676 participants. A multivariate logistic regression model, Generalized Additive Models (GAM), and subgroup analysis were used to examine the relationship between obesity and SII. The multivariate logistic regression results revealed a significant positive correlation between log SII and adolescent obesity (1.254 [1.024–1.537]). Furthermore, the risk of obesity increased with higher quartiles of SII. Subgroup analysis and interaction tests showed that this positive association persisted across various factors, including female gender, race (Non-Hispanic White and Mexican American), non-hyperlipidemia, normal white blood cell count, and PIR < 1. Additionally, a U-shaped relationship between log SII and obesity was observed, with a turning point at 6.410. The findings suggest that an increase in the systemic immune-inflammation index is significantly associated with obesity in adolescents. However, further validation through large-scale prospective studies is needed.
ICEEMDAN–RPE–AITD algorithm for magnetic field signals of magnetic targets
Piezo proteins, mechano reception and behaviour in Hydra
Examining associations of digestive system cancer with hypertension and diabetes using network analysis in older patients
Association of inflammatory risk based on the Glasgow Prognostic Score with long-term mortality in patients with cardiovascular disease
Abstract The secondary prevention strategy for cardiovascular disease (CVD) does not include anti-inflammatory treatment, which may lead to long-term inflammation in some patients. The aim of this study was to assess the association between inflammatory risk based on the Glasgow Prognostic Score (GPS) and long-term mortality risk in patients with CVD. This study included 3833 patients (≥ 20 years old) with CVD in the National Health and Nutrition Survey from 1999 to 2010 in the United States. The mortality rate was determined by correlation with the National Death Index on December 31, 2019. The GPS consists of the serum C-reactive protein and the serum albumin. The primary outcome was all-cause death, which included cardiac death and non-cardiac death. Cox proportional hazards adjusted for demographic factors and traditional cardiovascular risk factors were used to test the impact of the GPS on mortality. The sensitivity analysis was conducted on subsets within the cohort of patients with CVD, including congestive heart failure, coronary artery disease, angina, heart attack, and stroke. Among 3833 CVD patients with a median follow-up of 9.6 years, 2431 (63.4%) all-cause deaths, 822 (21.4%) cardiac deaths, and 1609 (41.9%) non-cardiac deaths were recorded. After full model adjustment, compared with those of the GPS (0) group, the hazard ratios (HRs) of all-cause death for GPS (1) and GPS (2) were 1.66 (95% confidence interval (CI), 1.48–1.86) and 2.75 (95% CI 2.01–3.75), respectively (P for trend < 0.001). Compared with those of the GPS (0) group, the HRs of cardiac death for the GPS (1) and GPS (2) groups were 1.69 (95% CI 1.39–2.05) and 2.18 (95% CI 1.22–3.91), respectively (P for trend < 0.001). Compared with those of the GPS (0) group, the HRs of non-cardiac death for the GPS (1) and GPS (2) groups were 1.65 (95% CI 1.44–1.89) and 3.05 (95% CI 2.11–4.40), respectively (P for trend < 0.001). The results of the sensitivity analysis were similar to those of the overall cohort. In our analysis of the United States National Database, we discovered that the GPS, a measure of inflammatory risk, was significantly associated with an increased risk of mortality among patients with CVD. Specifically, we observed that patients with a higher GPS had significantly higher risks of all-cause, cardiac, and non-cardiac mortality compared to those with a lower score. These findings suggest that the GPS, comprising easily obtainable biomarkers, could serve as a valuable tool for risk stratification in CVD patients and may contribute to the improvement of patient outcomes.
Provably secure and lightweight blockchain based cross hospital authentication scheme for IoMT-based healthcare
Abstract Portable devices and sensors-based Internet of Medical Things (IoMT) healthcare can remotely detect patients’ physiological data and provide first-class healthcare services. However, the high privacy and sensitivity of medical data make IoMT healthcare systems vulnerable to various attacks. While numerous authentication protocols have been introduced in recent years to guarantee authorized access, these schemes continue to face challenges such as privacy disclosure, untraceability of malicious behavior, insufficient cross-hospital access, and concerns related to single points of failure and trust. To address these issues, we propose a Double Anonymity Strategy to hide identities between doctors and the patients while allowing the authorized party to track their malicious behavior, enhance users’ privacy and track malicious users. Our approach leverages the advantages of blockchain, such as decentralization, and replaces trusted third parties with smart contracts for efficient and automatic identity authentication. Additionally, we introduce a cross-hospital authentication scheme that incorporates three-factor secrecy, ensuring that even if any two of the three factors (device, biometric information and password) are compromised, the security of the proposed scheme will not be affected. The security of our scheme is formally proven under the random oracle model, which formally measures that the probability of an adversary breaking the scheme is negligible. We also provide informal security analysis showing that our scheme prevents privacy breaches, achieves decentralization, and addresses existing various attacks. Furthermore, through simulation of the proposed scheme and comparison with related works, we demonstrate that our scheme achieves 23% to 87% reduction in computational cost while maintaining higher security properties.
Controllability of nonlinear epileptic-seizure spreading dynamics in large-scale subject-specific brain networks
Differentiating right upper limb movements of esports players who play different game genres
Abstract Esports is a fast-growing worldwide phenomenon encompassing hundreds of millions of competitive players. It is well-established that different game genres require distinct cognitive skills, but the biomechanical implications of playing different game genres have received little attention. This is the first study to quantify gamers’ kinematic behaviour across genres, demonstrating the importance of physical demands on performance and equipment in esports. The purpose of this study was to investigate whether the right upper limb kinematic behaviour differs among players across game genres. 63 esports players played a First Person Shooter (FPS), Multiplayer Online Battle Arena (MOBA), or Adventure game for 10 min. Three tri-axial accelerometers, positioned on each participant’s right upper limb (hand, forearm, arm), recorded kinematic data during gameplay. Hand acceleration magnitude, direction change, distance travelled (sum of all hand displacements over 10-min of gameplay), and displacement area (size and shape) were calculated in addition to hand, forearm, and arm acceleration ratios. There was a marked difference in movement patterns across players of different game genres. FPS players displayed greater hand acceleration magnitude (0.96 m.s −2 ± 0.07 SEM), moved their hand through a greater distance (38.96 m ± 2.47 SEM), and over a larger displacement area (119.13 cm 2 ± 16.05 SEM) compared to MOBA and Adventure players. MOBA players exhibited greater hand acceleration magnitude (0.73 m.s −2 ± 0.05 SEM), changed direction more (2335 ± 172 SEM) and covered more distance (29.25 m ± 1.80 SEM) compared to Adventure players within a smaller overall area (70.49 cm 2 ± 9.91 SEM). These findings have the potential to impact the design of gaming equipment and the training volumes of gamers across different game genres, so as to mitigate injury risk and improve overall gaming performance.