Meta-analysis of high-power short-duration versus cryoballoon ablation for atrial fibrillation.

BACKGROUND: The existing literature regarding the treatment strategy for high-power short-duration (HPSD) ablation in patients diagnosed with atrial fibrillation (AF) is currently insufficient. The objective of this study is to perform a comparative analysis evaluating the effectiveness, safety, and procedural efficiency of HPSD versus cryoballoon ablation (CBA) for AF. METHODS: A comprehensive search was conducted in PubMed, EMBASE, Cochrane Library, Scopus, Web of Science, and ClinicalTrials.gov databases to identify trials comparing HPSD with CBA for AF from their inception until December 25, 2023. Treatment effect measures were expressed as odds ratio (OR), mean difference (MD), accompanied by a 95% confidence interval (CI). RESULTS: The analysis comprised six eligible trials involving a total enrollment of 2481 patients. No statistically significant disparities were observed in recurrent atrial arrhythmia (OR 0.90; 95% CI, 0.71-1.16) or total complications (OR 0.65; 95% CI, 0.38-1.12) between the two ablation techniques examined in this study. However, HPSD technique exhibited a significantly prolonged procedure time (MD 27.42; 95% CI, 19.03 to 35.81). Conversely, no significant differences were observed between the two modalities in terms of total fluoroscopy duration (MD -4.37; 95% CI -10.70 to 1.96) and ablation time (MD 7.95; 95% CI -3.97 to 19.88). Furthermore, HPSD demonstrated significantly higher odds of extrapulmonary vein (PV) trigger ablation compared to CBA (OR 18.86; 95% CI, 5.12-69.49). The subgroup analyses revealed that CBA continued to exhibit superior procedure time (except for the paroxysmal AF subgroup: [MD 29.52; 95% CI -4.25 to 63.60]), while no significant differences in safety and efficacy (except for the HPSD ≥ 70 W subgroup: [OR 0.44, 95% CI 0.20-0.97]) outcomes were still observed. CONCLUSION: Among patients undergoing ablation therapy for AF, both HPSD and CBA demonstrate comparable efficacy and safety profiles; however, HPSD is associated with longer procedural time and higher rates of extra-PV trigger ablation.

Indirect Comparison of Cryoablation and Radiofrequency Ablation as Initial Therapy for Symptomatic Paroxysmal Atrial Fibrillation: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.

INTRODUCTION: Data on first-line ablation treatment for patients with symptomatic atrial fibrillation (AF) are scarce. This study indirectly compared the efficacy and safety of cryoballoon ablation (CBA) versus radiofrequency ablation (RFA) as initial therapy for symptomatic AF. METHODS: We searched the EMBASE, PubMed, Cochrane Library, and ClinicalTrials.gov databases for randomized controlled trials (RCTs) that compared CBA or RFA with antiarrhythmic drugs (AADs) as first-line treatment for AF from the time of database establishment up to December 2021. The odds ratio (OR) with a 95% confidence interval (CI) was used as a measure of the treatment effect. RESULTS: Six RCTs (3 CBA, 3 RFA) that enrolled a total of 1,215 patients were included in this analysis. There were no significant differences in atrial arrhythmia (AA) (OR 0.993, 95% CI: 0.602-1.638), symptomatic AA (OR 0.638, 95% CI: 0.344-1.182), or serious adverse events (OR 1.474, 95% CI: 0.404-5.376) between the two ablation techniques. The incidences of additional CBA therapy (OR 2.693, 95% CI: 1.277-5.681) and patients who crossed over to AAD therapy (OR 0.345, 95% CI: 0.179-0.664) in the CBA group were significantly lower than those in the RFA group. CONCLUSION: Among patients with paroxysmal AF receiving initial therapy, CBA and RFA share a similar efficacy and safety profile. When pulmonary vein isolation is performed by CBA, study crossover and the need for additional ablation are substantially lower.

Using spatial principles to optimize distributed computing for enabling the physical science discoveries.

Contemporary physical science studies rely on the effective analyses of geographically dispersed spatial data and simulations of physical phenomena. Single computers and generic high-end computing are not sufficient to process the data for complex physical science analysis and simulations, which can be successfully supported only through distributed computing, best optimized through the application of spatial principles. Spatial computing, the computing aspect of a spatial cyberinfrastructure, refers to a computing paradigm that utilizes spatial principles to optimize distributed computers to catalyze advancements in the physical sciences. Spatial principles govern the interactions between scientific parameters across space and time by providing the spatial connections and constraints to drive the progression of the phenomena. Therefore, spatial computing studies could better position us to leverage spatial principles in simulating physical phenomena and, by extension, advance the physical sciences. Using geospatial science as an example, this paper illustrates through three research examples how spatial computing could (i) enable data intensive science with efficient data/services search, access, and utilization, (ii) facilitate physical science studies with enabling high-performance computing capabilities, and (iii) empower scientists with multidimensional visualization tools to understand observations and simulations. The research examples demonstrate that spatial computing is of critical importance to design computing methods to catalyze physical science studies with better data access, phenomena simulation, and analytical visualization. We envision that spatial computing will become a core technology that drives fundamental physical science advancements in the 21st century.

Advancements in remote sensing for active fire detection: A review of datasets and methods.

This study comprehensively and critically reviews active fire detection advancements in remote sensing from 1975 to the present, focusing on two main perspectives: datasets and corresponding instruments, and detection algorithms. The study highlights the increasing role of machine learning, particularly deep learning techniques, in active fire detection. Looking forward, the review outlines current challenges and future research opportunities in remote sensing for active fire detection. These include exploring data quality management and multi-modal learning, developing spatiotemporally explicit models, investigating self-supervised learning models, improving explainable and interpretable models, integrating physical-process based models with machine learning, and building digital twins to replicate wildfire dynamics and perform what-if scenario analysis. The review aims to serve as a valuable resource for informing natural resource management and enhancing environmental protection efforts through the application of remote sensing technology.

Phosphination of amino-modified mesoporous silica for the selective separation of strontium.

Radioactive strontium (90Sr) is considered as one of the most dangerous radionuclides due to its high biochemical toxicity. For the efficient and selective separation of Sr from acidic environments, a novel functional adsorbent CEPA@SBA-15-APTES was prepared in this work through the phosphorylation of amino-modified mesoporous silica with organic content of approximately 20 wt%. CEPA@SBA-15-APTES was characterized by TEM, SEM, EDS, TG-DSC, BET, FTIR, and XPS techniques, revealing its characteristics of an ordered hexagonal lattice-like structure and rich functional groups. The experimental results demonstrated that the adsorbent exhibited good adsorption capacity for Sr over a wide acidity range (i.e., from 10-10 M to 4 M HNO3). The adsorption equilibriums of Sr by CEPA@SBA-15-APTES in 10-6 M and 3 M HNO3 solutions were reached within 30 and 5 min, respectively, and the adsorption capacities at 318 K were 112.6 and 71.8 mg/g, respectively. Furthermore, by combining the experimental and characterization results, we found that the adsorption mechanism consisted of ion exchange between Sr(II) and H+ (in P-OH) in the 10-6 M HNO3 solution and coordination between the Sr(II) and oxygen-containing (CO and P = O) functional groups in the 3 M HNO3 solution.

Microstructure and Mechanical Properties of Y4Zr3O12-Added Fe-13.5Cr-2W Oxide-Dispersion-Strengthened Steels, Containing High Contents of C and N, Prepared by Mechanical Alloying and Two-Step Spark Plasma Sintering.

Oxide-dispersion-strengthened (ODS) steel is considered as a promising candidate structural material for nuclear applications. In this study, the microstructure and mechanical properties of Y4Zr3O12-added Fe-13.5Cr-2W ODS steels, containing high contents of C and N, prepared by mechanical alloying (MA) and two-step spark plasma sintering (SPS), were investigated. The results showed that pure Y4Zr3O12 powders, with a grain size of 3.5 nm, were well prepared with NH3·H2O addition by the sol-gel method in advance, in order to avoid the formation of some coarse or undesired oxides. W was completely dissolved into the matrix after 48 h of ball milling at 300 rpm, and the main elements were uniformly distributed on the surface of the milled powders. The unexpected face-centered cubic (FCC, γ)/body-centered cubic (BCC, α) dual-phase structure of the sintered specimens, could be explained by the unexpectedly high contents of C and N from the raw powder production process, fast-sintering characteristic of SPS, and inhibitory effect of W on the diffusion of C. The experimental results were approximately consistent with the simulation results from the Thermo Calc software. The temperature combination of 800 °C and 1100 °C during the SPS process, provided a relatively more homogeneous microstructure, while the combination of 750 °C and 1150 °C, provided the highest ultimate tensile strength (UTS), of 1038 MPa, with the highest uniform elongation (UE), of 6.2%. M23C6, Cr2O3, M2(C,N), and other precipitates, were mainly distributed at grain boundaries, especially at the triple junctions, which led to Cr depletion at grain boundaries.

Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data.

Individual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for understanding people's frequent travel purposes. However, labor-intensive engineering work is often required to extract effective features. Additionally, features and models are mostly calibrated for individual trajectories with regular daily travel routines and patterns, and therefore suffer from poor generalizability when applied to new trajectories with more irregular patterns. Meanwhile, most existing models cannot extract features to explicitly represent regular travel activity sequences. Therefore, this paper proposes a graph-based representation of spatiotemporal trajectories and point-of-interest (POI) data for travel activity type identification, defined as Gstp2Vec. Specifically, a weighted directed graph is constructed by connecting regular activity areas (i.e., zones) detected via clustering individual daily travel trajectories as graph nodes, with edges denoting trips between pairs of zones. Statistics of trajectories (e.g., visit frequency, activity duration) and POI distributions (e.g., percentage of restaurants) at each activity zone are encoded as node features. Next, trip frequency, average trip duration, and average trip distance are encoded as edge weights. Then a series of feedforward neural networks are trained to generate low-dimensional embeddings for activity nodes through sampling and aggregating spatiotemporal and POI features from their multihop neighborhoods. Activity type labels collected via travel surveys are used as ground truth for backpropagation. The experiment results with real-world GPS trajectories show that Gstp2Vec significantly reduces feature engineering efforts by automatically learning feature embeddings from raw trajectories with minimal prepossessing efforts. It not only enhances model generalizability to receive higher identification accuracy on test individual trajectories with diverse travel patterns, but also obtains better efficiency and robustness. In particular, our identification of the most common daily travel activities (e.g., Dwelling and Work) for people with diverse travel patterns outperforms state-of-the-art classification models.

Correction: Thermal, mechanical investigation and neutron shielding analysis for Gd-MOF/polyimide materials.

[This corrects the article DOI: 10.1039/D1RA07500D.].

Influences of Modified Sm2O3 on Thermal Stability, Mechanical and Neutron Shielding Properties of Aminophenol Trifunctional Epoxy Resin.

The requirements regarding the weight and capacity reduction of neutron shielding materials have become an urgent issue for advanced nuclear facilities and plants. An epoxy-based neutron shielding material with high-temperature stability and good neutron irradiation resistance was designed in this paper to solve the above issue. Aminophenol trifunctional epoxy resin (AFG-90H) was compounded with samarium oxide (Sm2O3) by means of an ultrasonic-assisted method and the compatibility of Sm2O3 with the AFG-90H matrix was improved by 3-aminopropyltriethoxysilane (APTES) surface modification. Fabricated Sm2O3-APTES/AFG-90H composites exhibited improved thermal stability, glass transition temperature and Young's modulus with increased Sm2O3-APTES content. Neutronics calculation results show that the neutron permeability of 2 mm-thick 30 wt% Sm2O3-APTES/AFG-90H was 98.9% higher than that of the AFG-90H matrix under the irradiation of the thermal neutron source. The results show that the proper addition range of Sm2O3-APTES is between 20% and 25%. The Sm2O3-APTES/AFG-90H composite is a promising neutron shielding material for advanced nuclear system.

Good Personality and Subjective Well-Being: Presence of Meaning in Life and Perceived Social Support as Mediators.

BACKGROUND: Good personality is a positive moral personality in the context of Chinese Confucianism. Based on a social-cognitive model of normative well-being, we propose that good personality positively predicts subjective well-being, mediated by the perceived social support and presence of meaning in life in the context of Chinese culture. METHODS: In this cross-sectional study, there were 665 Chinese adults (134 males and 531 females) who participated in the Good Personality Questionnaire, Multi-Dimensional Scale of Perceived Social Support, Presence of Meaning in Life Questionnaire, Positive and Negative Affect Scale, and Satisfaction with Life Scale. RESULTS: Good personality was positively associated with subjective well-being (SWB). Both the presence of meaning in life and perceived social support independently mediated the link between good personality and subjective well-being (SWB), and in Chinese adults, perceived social support has a greater mediating effect than the presence of meaning in life. CONCLUSION: These findings illustrate that the presence of meaning in life and perceived social support mediate the relationship between good personality and subjective well-being in the context of Chinese culture, which supports the model of normative well-being and can provide more targeted intervention guidance for research on promoting well-being in the Chinese context.

[Association between high sensitivity C-reactive protein and contrast induced acute kidney injury in patients with acute coronary syndrome undergoing percutaneous coronary intervention: impact of atorvastatin].

OBJECTIVE: To observe the association between preprocedural high sensitivity C-reactive protein (hs-CRP) level and incidence of contrast induced acute kidney injury (CI-AKI) in acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) and the impact of atorvastatin pretreatment on CI-AKI. METHODS: According to the level of preprocedural hs-CRP, 270 ACS patients were divided into three groups: high hs-CRP group (hs-CRP ≥ 3 mg/L, n = 176), moderate hs-CRP group (hs-CRP 1-3 mg/L, n = 60) and normal hs-CRP group (hs-CRP < 1 mg/L, n = 34). According to the dosage of preprocedural atorvastatin, the high hs-CRP group was further divided into 10 mg group (n = 49), 20 mg group (n = 66) and 40 mg group (n = 61). Serum creatinine (Scr), blood urea nitrogen (BUN), cystatin C (Cys C), hs-CRP were measured at before and 24 hours, 48 hours after PCI. CCr and GFR were calculated according to Scr and Cys C. Risk factors for CI-AKI were determined by multivariate logistic regression analysis. RESULTS: (1) Cys C was significantly increased and GFR after PCI significantly reduced in high and moderate hs-CRP groups compared with normal hs-CRP group (P < 0.05). (2) Incidence of CI-AKI was 43.18%, 38.33%, 20.59% in high, moderate and normal hs-CRP groups, respectively (P < 0.05). (3) In high hs-CRP group, postprocedural GFR was significantly higher while postprocedural Cys C and hs-CRP were significantly lower in 40 mg statin subgroup than 10 mg and 20 mg statin subgroups (P < 0.05), similar trends were documented when comparing 20 mg statin subgroup with 10 mg statin subgroup (P < 0.05). (4) Multivariate logistic regression analysis showed that pretreatment with high dose atorvastatin was a protective factor for post CI-AKI (20 mg atorvastatin: OR = 0.15, 95%CI 0.06 - 0.33, P = 0.001; 40 mg atorvastatin: OR = 0.10, 95%CI 0.04 - 0.23, P = 0.001), while high levels of preprocedural hs-CRP (OR = 2.06, 95%CI 1.01 - 4.23, P = 0.048), diabetes mellitus (OR = 10.71, 95%CI 5.29 - 21.70, P = 0.001), advanced age (OR = 2.64, 95%CI 1.05 - 6.63, P = 0.038) and renal failure (OR = 5.14, 95%CI 1.13 - 23.39, P = 0.034) were independent risk factors of CI-AKI. CONCLUSION: High hs-CRP level is linked with the development of CI-AKI in ACS patients undergoing PCI and pretreatment with 40 mg atorvastatin is associated with lower incidence CI-AKI, possibly by reducing the postprocedural inflammation responses.

Thermal, mechanical investigation and neutron shielding analysis for Gd-MOF/polyimide materials.

None of the currently commercialized shielding materials in Generation IV nuclear energy systems are satisfactory in their performance. Developing a candidate neutron shielding material with good heat resistance and high strength is a challenging task. In this work, various gadolinium metal-organic frameworks (Gd-MOFs) with obvious advantages, such as porous structures, organic surfaces and strong neutron-absorbing nuclei, were synthesized to constrain polyimide (PI) chains. A series of Gd-MOF/PI conjugates were subsequently assessed for their thermal stability, mechanical properties and neutron shielding performance. The increase of the Gd-MOF content improved the thermal neutron shielding ability but slightly reduced the fast neutron shielding ability. Compared with those of pure PI, the Gd-MOF/PI films demonstrate a higher glass transition temperature (T g), which is considered the gold standard of engineering plastics. It was also observed that the tensile strength directly correlates with the Gd-MOF content, which continuously increases until a maximum is reached, and then subsequently decreases. Furthermore, the high-temperature tensile test showed that these tunable Gd-MOF/PI films are intact and robust, indicating their potential application for neutron shielding materials in Generation IV nuclear energy systems.

Meta-analysis of cryoballoon ablation versus antiarrhythmic drugs as initial therapy for symptomatic atrial fibrillation.

BACKGROUND: The optimal first-line approach for patients with symptomatic atrial fibrillation (AF) remains unclear. We compared the efficacy and safety of cryoballoon ablation (CBA) and antiarrhythmic drugs (AADs) in the initial management of symptomatic AF. HYPOTHESIS: CBA is superior to AAD as initial therapy for symptomatic AF. METHODS: We searched the EMBASE, PubMed, and Cochrane Library databases for randomized controlled trials (RCTs) that compared CBA with AAD as first-line treatment for AF from the date of database establishment until March 18, 2021. The risk ratio (RR) with a 95% confidence interval (CI) was used as a measure of treatment effect. RESULTS: Three RCTs that enrolled 724 patients in total were included in this meta-analysis. Majority of the patients were relatively young and had paroxysmal AF. CBA was associated with a significant reduction in the recurrence of atrial arrhythmia compared with AAD therapy, with low heterogeneity (RR, 0.59; 95% CI, 0.49-0.71; p < .00001; I2  = 0%). There was a significant difference in the rate of symptomatic atrial arrhythmia recurrence (RR, 0.44; 95% CI, 0.29-0.65; p < .0001; I2  = 0%); however, the rate of serious adverse events was similar between the two treatment groups (RR: 1.18; 95% CI: 0.71-1.97, p = .53; I2  = 0%). Transient phrenic nerve palsy occurred in four patients after the CBA procedure. CONCLUSION: The current meta-analysis suggests that CBA is more effective than AAD as initial therapy in patients with symptomatic paroxysmal AF. Serious iatrogenic adverse events are uncommon in CBAs.

Evolution of Dislocation Loops Induced by Different Hydrogen Irradiation Conditions in Reduced-Activation Martensitic Steel.

Hydrogen can be induced in various ways into reduced-activation ferritic/martensitic (RAFM) steels when they are used as structural materials for advanced nuclear systems. However, because of the fast diffusion of hydrogen in metals, the effect of hydrogen on the evolution of irradiation-induced defects was almost neglected. In the present work, the effect of hydrogen on the evolution of dislocation loops was investigated using a transmission electron microscope. Specimens of reduced-activation ferritic/martensitic (RAFM) steels were irradiated with hydrogen ions to 5 × 1020 H⁺ • m-2 at 523⁻823 K, and to 1 × 1020 H⁺ • m-2 - 5 × 1020 H⁺ • m-2 at 723 K. The experimental results reveal that there is an optimum temperature for dislocation loop growth, which is ~723 K, and it is greater than the reported values for neutron irradiations. Surprisingly, the sizes of the loops produced by hydrogen ions, namely, 93 nm and 286 nm for the mean and maximum value, respectively, at the peak dose of 0.16 dpa under 723 K, are much larger than that produced by neutrons and heavy ions at the same damage level and temperature. The results indicate that hydrogen could enhance the growth of loops. Moreover, 47.3% 1 2   a0 <111> and 52.7% a0 <100> loops were observed at 523 K, but 1 2   a0 <111> loops disappeared and only a0 <100> loops existed above 623 K. Compared with the neutron and ion irradiations, the presence of hydrogen promoted the formation of a0 <100> loops.

Developing Subdomain Allocation Algorithms Based on Spatial and Communicational Constraints to Accelerate Dust Storm Simulation.

Dust storm has serious disastrous impacts on environment, human health, and assets. The developments and applications of dust storm models have contributed significantly to better understand and predict the distribution, intensity and structure of dust storms. However, dust storm simulation is a data and computing intensive process. To improve the computing performance, high performance computing has been widely adopted by dividing the entire study area into multiple subdomains and allocating each subdomain on different computing nodes in a parallel fashion. Inappropriate allocation may introduce imbalanced task loads and unnecessary communications among computing nodes. Therefore, allocation is a key factor that may impact the efficiency of parallel process. An allocation algorithm is expected to consider the computing cost and communication cost for each computing node to minimize total execution time and reduce overall communication cost for the entire simulation. This research introduces three algorithms to optimize the allocation by considering the spatial and communicational constraints: 1) an Integer Linear Programming (ILP) based algorithm from combinational optimization perspective; 2) a K-Means and Kernighan-Lin combined heuristic algorithm (K&K) integrating geometric and coordinate-free methods by merging local and global partitioning; 3) an automatic seeded region growing based geometric and local partitioning algorithm (ASRG). The performance and effectiveness of the three algorithms are compared based on different factors. Further, we adopt the K&K algorithm as the demonstrated algorithm for the experiment of dust model simulation with the non-hydrostatic mesoscale model (NMM-dust) and compared the performance with the MPI default sequential allocation. The results demonstrate that K&K method significantly improves the simulation performance with better subdomain allocation. This method can also be adopted for other relevant atmospheric and numerical modeling.

A service brokering and recommendation mechanism for better selecting cloud services.

Cloud computing is becoming the new generation computing infrastructure, and many cloud vendors provide different types of cloud services. How to choose the best cloud services for specific applications is very challenging. Addressing this challenge requires balancing multiple factors, such as business demands, technologies, policies and preferences in addition to the computing requirements. This paper recommends a mechanism for selecting the best public cloud service at the levels of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). A systematic framework and associated workflow include cloud service filtration, solution generation, evaluation, and selection of public cloud services. Specifically, we propose the following: a hierarchical information model for integrating heterogeneous cloud information from different providers and a corresponding cloud information collecting mechanism; a cloud service classification model for categorizing and filtering cloud services and an application requirement schema for providing rules for creating application-specific configuration solutions; and a preference-aware solution evaluation mode for evaluating and recommending solutions according to the preferences of application providers. To test the proposed framework and methodologies, a cloud service advisory tool prototype was developed after which relevant experiments were conducted. The results show that the proposed system collects/updates/records the cloud information from multiple mainstream public cloud services in real-time, generates feasible cloud configuration solutions according to user specifications and acceptable cost predication, assesses solutions from multiple aspects (e.g., computing capability, potential cost and Service Level Agreement, SLA) and offers rational recommendations based on user preferences and practical cloud provisioning; and visually presents and compares solutions through an interactive web Graphical User Interface (GUI).

An integrative radiation protection control system based on a CAN bus for the HT-7U tokamak fusion device.

A radiation protection control system has been designed, based on distributed computers and consideration of the features of the radiation source of the HT-7U fusion experimental device, for protecting the workers and the public against neutron and photon radiation, and especially for ensuring that workers cannot unexpectedly enter an area of high radiation level in any case. A multisubsystem (irradiation monitoring subsystem, access control subsystem, safety interlock subsystem and other related facilities) integration concept is proposed for the design. This system has been implemented on the basis of the up-to-date industrial field bus CAN, featuring simplicity and flexibility of installation and maintenance, capability for real-time long distance communication and multi-master protocol.