Formation processes and mechanisms of a fault-controlled colluvial landslide in the Qinling-Daba Mountains, China.

Faults play a crucial role in shaping the formation and damage patterns of landslides in the mountainous region, particularly in Qinling-Daba (Qinba) area in China. On 6 October 2022, following a 4-day rainfall event totaling 221.5 mm, a landslide occurred in Hanwang Town, Shaanxi Province. The left boundary of the landslide coincided with a fault, which influence the formation and movement development of the landslide. To further understand and quantified the formation process and damage mechanism of the landslide, a comprehensive study was conducted, incorporating field investigations, local rainfall data, and various methods including unmanned aerial vehicles (UAVs), numerical simulations, and laboratory test. The results indicate that fault dictate the formation of the Lijiaping landslide by influencing the mechanical strength of the rock mass and the catchment topography in the landslide area. Due to fault, the rock mass in the landslide area is high fragmentation, with a softening coefficient of about 0.52. Weathering resulted in numerous residual and slope sediments in the landslide area, providing ample material for the landslide. Meanwhile, the fault activity led to a wedge-shaped topography in the landslide area, with an average Terrain Wetness Index (TWI) of 3.43, significantly higher than the Hanwang Township average of 1.47. This creates a hydrogeological structure favorable for landslides. Numerical simulations revealed that the maximum velocity of the landslide reached 5.05 m/s and the maximum displacement was 53.18 m, both occurring in the central part of the landslide. These findings offer crucial scientific insights for understanding and preventing similar geological hazards.

Quantitative characterization of microstructure and research on spatial variation characteristics of loess of different strata in Luochuan, Shaanxi, China.

The complete sequence of loess strata in Luochuan has become a typical section in loess strata, and is the main focus of research for many scholars studying loess. We were based on the theory of aeolian loess and established a set of quantitative index parameters for loess microstructure through our previous research, such as equivalent diameter, sphericity, morphology ratio, orientation angle Phi, orientation angle Theta, pore Eq-Radius, throat Eq-Radius and throat channelLength. Through the quantitative characterization of various index parameters of the Luochuan loess, we found that the probability density of each index parameter meets a specific distribution well, and in terms of spatial dimension, it shows that as the depth of the strata increases, the average particle size and the mode of pore Eq-Radius, throat Eq-Radius and throat channelLength generally increase, while the mode of particle morphology ratio generally decreases. In addition, loess particles in deeper strata are less prone to vertical sedimentation and tend to deposit gently or horizontally. Most particles in different strata are distributed in a northwest or southwest direction. During the formation period of strata, the main cause for spatial differences is the material carrying force. We conducted a statistical analysis on the correlation between the macroscopic physical properties of loess and its microstructure index parameters. Specifically, we found a positive correlation between loess density and the average particle size and the mode of particle equivalent diameter, Additionally, we found a negative correlation between loess liquid limit and plastic limit, and the mode of particle morphology ratio. Furthermore, there was a negative correlation between permeability coefficient and the mode of pore Eq-Radius, throat Eq-Radius, and throat channelLength.

Joint Entropy-Assisted Graphene Oxide-Based Multiplexing Biosensing Platform for Simultaneous Detection of Multiple Proteases.

Due to the limited clinical utility of individual biomarkers, there is growing recognition of the need for combining multiple biomarkers as a panel to improve the accuracy and efficacy of disease diagnosis and prognosis. The conventional method to detect multiple analyte species is to construct a sensor array, which consists of an array of individual selective probes for different species. In this work, by using cancer biomarker matrix metalloproteinases (MMPs) and a disintegrin and metalloproteinases (ADAMs) as model analytes and functionalized nanographene oxide (nGO) as a sensing element, we developed a multiplexing fluorescence sensor in a nonarray format for simultaneous measurement of the activities of multiple proteases. The constructed nGO-based biosensor was rapid, sensitive, and selective and was also utilized for the successful profiling of ADAMs/MMPs in simulated serum samples. Furthermore, we showed that joint entropy and programming could be utilized to guide experiment design, especially in terms of the selection of a subset of proteases from the entire MMPs/ADAMs family as an appropriate biomarker panel. Our developed nGO-based multiplex sensing platform should find useful application in early cancer detection and diagnosis.

Factors Affecting Length of Stay, Readmission, and Revision After Shoulder Arthroplasty: A Population-Based Study.

BACKGROUND: Increased length of hospital stay, hospital readmission, and revision surgery are adverse outcomes that increase the cost of elective orthopaedic procedures, such as shoulder arthroplasty. Awareness of the factors related to these adverse outcomes will help surgeons and medical centers design strategies for minimizing their occurrence and for managing their associated costs. METHODS: We analyzed data from the New York Statewide Planning and Research Cooperative System on 17,311 primary shoulder arthroplasties performed from 1998 to 2011 to identify factors associated with extended lengths of hospitalization after surgery, readmission within ninety days, and surgical revision. RESULTS: The factors associated with each of these three adverse outcomes were different. Longer lengths of hospital stay were associated with female sex, advanced patient age, Medicaid insurance, comorbidities, fracture as the diagnosis for arthroplasty, higher hospital case volumes, and lower surgeon case volumes. Readmission was associated with advanced patient age and medical comorbidities. The most common diagnoses for readmission within ninety days were fluid and electrolyte imbalance (28%), acute pulmonary problems (21%), cardiac arrhythmia (20%), heart failure (15%), acute myocardial infarction (10%), and urinary tract infection (10%). Revision was associated with younger patient age and osteoarthritis or traumatic arthritis. The most common diagnoses at the time of revision surgery were unspecified mechanical complications of the implant (60%), shoulder pain (18%), dislocation of the prosthetic joint (12%), component loosening (10%), a broken prosthesis (8%), a cuff tear (7%), and infection (7%). CONCLUSIONS: A small number of easily identified characteristics (sex, age, race, insurance type, comorbidities, diagnosis, and provider case volumes) were significantly associated with longer lengths of stay, readmission, and revision surgery. Consideration of these factors and their effects may guide efforts to improve patient safety and to manage the costs associated with these adverse outcomes.