Search

Background: Nonrigid fixation techniques have been recently introduced in free bone block (FBB) procedures to treat substantial glenoid bone loss in patients with anterior shoulder instability. However, the radiological and histological effectiveness of nonrigid fixation versus conventional rigid fixation have not been comprehensively understood in vivo. Purpose: To (1) explore the radiological and histological characteristics of nonrigid fixation for FBB procedures in a rabbit model of glenoid defects and (2) further compare them with those of conventional rigid fixation. Study Design: Controlled laboratory study. Methods: Unilateral shoulder glenoid defects were created in 36 mature New Zealand White rabbits, of which 24 underwent FBB procedures using allogenic iliac crest bone and were randomly divided into rigid fixation (RF) and nonrigid fixation (N-RF) groups, with the remaining divided into 2 control groups: 6 with sham surgery for glenoid defects (GD group) and 6 native glenoids (normal group). In the RF and N-RF groups, 6 rabbits were sacrificed at 6 or 12 weeks postoperatively for radiological and histological analyses of the reconstructed glenoid, and all rabbits in the GD and normal groups were sacrificed at 12 weeks. The radiological glenoid morphology was evaluated via micro–computed tomography. Moreover, the graft-glenoid healing and graft remodeling processes were determined using histological staining. Results: At 6 weeks, both the N-RF and RF groups had similarly improved radiological axial radian and en face area of the glenoid compared with the GD group, but the N-RF group showed superiority in restoration of the glenoid radian and area compared with the RF group at 12 weeks, with the native glenoid as the baseline. Histologically, the bone graft in both groups was substantively integrated into the deficient glenoid neck at 6 and 12 weeks, showing similar osseous healing processes at the graft-glenoid junction. Moreover, the bone graft histologically presented similar regenerated vascular density, total graft bone, and integrated graft bone in both groups. In contrast, the N-RF group had a different remodeling profile on radiological and histological analyses regarding regional bone resorption, mineralization, and fibrous tissue replacement during osseointegration. Conclusion: Compared with rigid fixation, nonrigid fixation resulted in superior reconstructed glenoid morphology radiologically and similar graft-glenoid osseous healing histologically, showing different graft remodeling profiles of regional bone resorption, mineralization, and fibrous tissue replacement. Clinical Relevance: The nonrigid fixation technique can be feasible for FBB procedures to treat glenoid bone loss in anterior shoulder instability. More clinical evidence is required to determine its pros and cons compared with conventional rigid fixation.

The currently ongoing COVID-19 outbreak remains a global health concern. Understanding the transmission modes of COVID-19 can help develop more effective prevention and control strategies. In this study, we devise a two-strain nonlinear dynamical model with the purpose to shed light on the effect of multiple factors on the outbreak of the epidemic. Our targeted model incorporates the simultaneous transmission of the mutant strain and wild strain, environmental transmission and the implementation of vaccination, in the context of shortage of essential medical resources. By using the nonlinear least-square method, the model is validated based on the daily case data of the second COVID-19 wave in India, which has triggered a heavy load of confirmed cases. We present the formula for the effective reproduction number and give an estimate of it over the time. By conducting Latin Hyperbolic Sampling (LHS), evaluating the partial rank correlation coefficients (PRCCs) and other sensitivity analysis, we have found that increasing the transmission probability in contact with the mutant strain, the proportion of infecteds with mutant strain, the ratio of probability of the vaccinated individuals being infected, or the indirect transmission rate, all could aggravate the outbreak by raising the total number of deaths. We also found that increasing the recovery rate of those infecteds with mutant strain while decreasing their disease-induced death rate, or raising the vaccination rate, both could alleviate the outbreak by reducing the deaths. Our results demonstrate that reducing the prevalence of the mutant strain, improving the clearance of the virus in the environment, and strengthening the ability to treat infected individuals are critical to mitigate and control the spread of COVID-19, especially in the resource-constrained regions.

Obesity is caused by a prolonged positive energy balance1,2. Whether reduced energy expenditure stemming from reduced activity levels contributes is debated3,4. Here we show that in both sexes, total energy expenditure (TEE) adjusted for body composition and age declined since the late 1980s, while adjusted activity energy expenditure increased over time. We use the International Atomic Energy Agency Doubly Labelled Water database on energy expenditure of adults in the United States and Europe (n = 4,799) to explore patterns in total (TEE: n = 4,799), basal (BEE: n = 1,432) and physical activity energy expenditure (n = 1,432) over time. In males, adjusted BEE decreased significantly, but in females this did not reach significance. A larger dataset of basal metabolic rate (equivalent to BEE) measurements of 9,912 adults across 163 studies spanning 100 years replicates the decline in BEE in both sexes. We conclude that increasing obesity in the United States/Europe has probably not been fuelled by reduced physical activity leading to lowered TEE. We identify here a decline in adjusted BEE as a previously unrecognized factor.

The Coronavirus Disease (COVID-19) pandemic spreaded at the beginning of 2020, which brings lots of changes to our living habits The massive use of plastic products such as gloves, masks, protective clothing, and test kits put pressure on plastic waste treatment. There is not much research focused on plastic wastes that are generated during COVID and their treatment methods. This article discusses plastic waste in two aspects. The first is the damage of untreated plastic to the environment. The other is the analysis of current treatment methods for plastic and their advantage and disadvantages. The commonly used processes, including the incineration and landfilled processes, are discussed. Both incineration and landfill severely impact the environment and need to be transformed into a better process. Furthermore, new emerging technology such as pyrolysis and gasification can be developed into better thermal treatment methods because they have cleaner gas production and limit the production of toxic chemicals. Recycling is considered a favorable technique to treat plastic waste before COVID. However, during COVID, the preference for using plastic and the decrease in oil prices made this technology less competitive. Recommendations on the current plastic waste problem are made, including input gas cleaning systems such as carbon dioxide scrubbers, regulation of disposal of plastic, scale-up of pyrolysis and gasification process, and promoting the usage of biodegradable plastic.

For the spin-to-charge conversion (SCC) in heavy metal/ferromagnet (HM/FM) heterostructure, the contribution of interfacial spin-orbit coupling (SOC) remains controversial. Here, we investigate the SCC process of the Pt/NiFe heterostructure by the spin pumping in YIG/Pt/NiFe/IrMn multilayers. Due to the exchange bias of NiFe/IrMn structure, the NiFe magnetization can be switched between magnetically unsaturated and saturated states by opposite resonance fields of YIG layer. The spin-pumping signal is found to decrease significantly when the NiFe magnetization is changed from the saturated state to the unsaturated state. Theoretical analysis indicates that the interfacial spin absorption is enhanced for the above-mentioned NiFe magnetic state change, which results in the increased and decreased spin flow in the Pt layer and across the Pt/NiFe interface, respectively. These results demonstrate that in our case the interfacial SOC effect at the Pt/NiFe interface is dominant over the bulk inverse spin Hall effect in the Pt layer. Our work reveals a significant role of interfacial SOC in the SCC in HM/FM heterostructure, which can promote the development of high-efficiency spintronic devices through interfacial engineering.

Flavonoids are the most abundant polyphenols in plants, and have antioxidant effects as well as other bioactivities (e.g., anti-inflammatory, anti-cancer, anti-allergic, and neuroprotective effects). Vegetables are rich in flavonoids and are indispensable in our daily diet. Moreover, the vegetables as chassis for producing natural products would emerge as a promising means for cost-effective and sustainable production of flavonoids. Understanding the metabolic engineering of flavonoids in vegetables allows us to improve their nutrient composition. In this review, a comprehensive overview of flavonoids in vegetables, including the characterized types and distribution, health-promoting effects, associated metabolic pathways, and applied metabolic engineering are provided. We also introduce breakthroughs in multi-omics approaches that pertain to the elucidation of flavonoids metabolism in vegetables, as well as prospective and potential genome-editing technologies. Based on the varied composition and content of flavonoids among vegetables, dietary suggestions are further provided for human health.

Background. There has been a gradual trend towards younger ageing of acute cerebral infarction in recent years. Atherosclerotic plaque rupture followed by dislodgement of emboli and resulting arterial embolism is an important mechanism for the development of acute cerebral infarction. Traditional independent risk factors for cerebral infarction have received attention from clinicians, but the risk factors for large artery atherosclerotic cerebral infarction are still unclear. Various blood biomarkers have an important role in the early diagnosis of large artery atherosclerotic cerebral infarction. Objective. To assess the diagnostic predictive value of a group of biomarkers for large artery atherosclerotic cerebral infarction. Methods. Lipoprotein-associated phospholipase A2 (LP-PLA2), trypsin-like protein (TPS), serum amyloid A (SAA), and supersensitive C-reactive protein (hs-CRP) levels were measured in the case group (30 cases) and control group (54 cases), respectively. Results. The differences in the general data between the two groups were not statistically significant ( P > 0.05 ). Logistic regression and ROC curve analysis showed that Lp-PLA2, TPS, and SAA were positively associated with the diagnosis of large atherosclerotic cerebral infarction ( P < 0.05 ). The area under the ROC curve of the multivariate model for the biomarker group reached 0.995. Conclusion. Biomarkers are closely associated with the occurrence of large atherosclerotic cerebral infarction and can be used as clinical adjuncts for diagnosis and assessment of prognosis.

To propose a new method for glenoid bone loss measurement, the constellation technique (CST); determine its reliability and accuracy; and compare the validity of CST with that of the conventional technique (CVT) and standard measurements for ratio calculation.Sixty shoulders with intact glenoids and no glenohumeral instability and arthritis underwent CT scans. Simulated osteotomies were conducted on the 3D models of glenoids at two cutting locations, expressed as clock face times (2:30-4:20; 1:30-5:00). Two experienced surgeons compared three methods for glenoid bone loss measurement; CVT (best-fit circle), CST ('5S' steps), and standard measurement. Eight undergraduates remeasured five randomly chosen shoulders with moderate to severe bone loss. Intraclass correlation coefficients (ICCs) were calculated for raters.With a defect range between 2:30 and 4:20, all 60 glenoids demonstrated minimal bone loss ( 15%); while between 1:30 and 5:00, 42 shoulders were with moderate bone loss (15-20%), and 18 shoulders with severe bone loss (≥ 20%). For experienced raters, no significant differences were noted between protocos for all categories of bone loss (The CST turned the key step of glenoid defect evaluation from deciding an

A facultative anaerobic bacterium, designated as A25

This study aims to investigate the mobile phone utilization for health information seeking among adults who are 45 years or older in rural areas in China. Using Andersen’s Behavioral Model (BM), we examine the factors that influence the target group’s behaviors of online health information seeking and contacting healthcare providers via mobile phones. By using stratified sampling method, we conducted a survey among 607 rural adults who were 45 years or older from six villages in Jiangsu Province, China. The results reveal that participants can be excluded from such services for not using a smartphone. eHealth information literacy could serve as a strong influential factor for online health information seeking and contacting healthcare providers via mobile phones. Participants with lower emotional wellbeing are more inclined to seek health information online via mobile phones. The results indicate variables such as utilization of technological devices and eHealth literacy should be included in Andersen’s model when investigating the utilization of mHealth services. This study contributes to the literature on mHealth adoption in rural areas in China and has implications for practitioners to tailor the mHealth service for socio-economically disadvantaged groups.

During the second half of the 20th century, the West Antarctic Ice Sheet (WAIS) has undergone significant warming at more than twice the global mean, and thus is regarded as one of the most rapidly warming regions on Earth. However, a reversal of this trend was observed in the 1990s resulting in regional cooling. In particular, during 1999-2018, the observed annual average surface air temperature had decreased at a statistically significant rate, with the strongest cooling in austral spring. The spring cooling correlates significantly with the second leading modes (EOF2) derived from empirical orthogonal function (EOF) analysis on the sea level pressure over Antarctica during 1999-2018, associated with the negative phase of the Interdecadal Pacific Oscillation with an average of cooling of central and eastern tropical Pacific surface sea temperature (SST) anomalies. The EOF2 results in the enhanced cold southerly winds on the continental WAIS through the cyclonic conditions over the Amundsen Sea region and a blocking high in the Drake Passage and Northern Antarctic Peninsula, causing the WAIS cooling trend.

Cold-activated thermogenesis of brown adipose tissues (BAT) is vital for the survival of animals under cold stress and also inhibits the development of tumours. The development of small-molecule tools that target thermogenesis pathways could lead to novel therapies against cold, obesity, and even cancer. Here, we identify a chemical signal that is produced in beetles in the winter to activate fat thermogenesis. This hormone elevates the basal body temperature by increasing cellular mitochondrial density and uncoupling in order to promote beetle survival. We demonstrate that this hormone activates UCP4-mediated uncoupled respiration through adipokinetic hormone receptor (AKHR). This signal serves as a novel fat-burning activator that utilizes a conserved mechanism to promote thermogenesis not only in beetles, nematode and flies, but also in mice, protecting the mice against cold and tumor growth. This hormone represents a new strategy to manipulate fat thermogenesis.

Edge computing is widely recognized as a crucial technology for the upcoming generation of communication networks and has garnered significant interest from both industry and academia. Compared to other offloading models like cloud computing, it provides faster data processing capabilities, enhanced security measures, and lower costs by leveraging the proximity of the edge servers to the end devices. This helps mitigate the privacy concerns associated with data transfer in edge computing, by reducing the distance between the data source and the server. Raw data in typical edge computing scenarios still need to be sent to the edge server, leading to data leakage and privacy breaches. Federated Learning (FL) is a distributed model training paradigm that preserves end devices’ data privacy. Therefore, it is crucial to incorporate FL into edge computing to protect data privacy. However, the high training overhead of FL makes it impractical for edge computing. In this study, we propose to facilitate the integration of FL and edge computing by optimizing FL hyper-parameters, which can significantly reduce FL’s training overhead and make it more affordable for edge computing.

BackgroundCertain product characteristics, such as flavor, may increase adolescents' willingness to try vaped nicotine and cannabis (marijuana) products.MethodsA discrete choice experiment embedded within the 2021-2022 California Teens Nicotine and Tobacco Project Online Survey was administered to a non-probability sample of N=2342 adolescents ages 12-17. Participants were sequentially presented four randomly-generated pairs of hypothetical vape products that varied in device type (disposable, refillable), content (nicotine, marijuana, "just vapor"), and flavor (seven options) and asked which of these (or neither) they would be more willing to try if a best friend offered. Conditional logistic regression quantified associations between product characteristics and participants' selections, including interactions by past 30-day use of e-cigarettes, marijuana, or both.ResultsCandy/dessert, fruit, and fruit-ice combination flavors were all associated with greater willingness to try a vape product (versus tobacco flavor) among participants not using e-cigarettes or marijuana, those using only e-cigarettes, and those co-using e-cigarettes and marijuana. Among participants only using marijuana, the most preferred flavors were no flavor, candy/dessert, and icy/frost/menthol. Among participants not using e-cigarettes or marijuana, model-predicted willingness to try a displayed vape product was greater when products were sweet or fruit flavored than tobacco or unflavored, regardless of whether displayed options contained nicotine (fruit/sweet: 21 %, tobacco/unflavored: 4 %), marijuana (fruit/sweet: 18 %, tobacco/unflavored: 6 %), or "just vapor" (fruit/sweet: 29 %, tobacco/unflavored: 16 %).ConclusionsIn this online non-probability sample, flavors in nicotine and cannabis vape products increased adolescents' willingness to try them. Comprehensive bans on flavored vapes would likely reduce adolescent use.

Potassium deficiency confines root growth and decreases root-to-shoot ratio, thereby limiting root K+ acquisition. This study aimed to identify the regulation network of microRNA319 involved in low-K+ stress tolerance in tomato (Solanum lycopersicum). SlmiR319b-OE roots demonstrated a smaller root system, a lower number of root hairs and lower K+ content under low-K+ stress. We identified SlTCP10 as the target of miR319b using a modified RLM-RACE procedure from some SlTCPs’ predictive complementarity to miR319b. Then, SlTCP10-regulated SlJA2 (an NAC transcription factor) influenced the response to low-K+ stress. CR-SlJA2 (CRISPR-Cas9-SlJA2) lines showed the same root phenotype to SlmiR319-OE compared with WT lines. OE-SlJA2(Overexpression-SlJA2) lines showed higher root biomass, root hair number and K+ concentration in the roots under low-K+ conditions. Furthermore, SlJA2 has been reported to promote abscisic acid (ABA) biosynthesis. Therefore, SlJA2 increases low-K+ tolerance via ABA. In conclusion, enlarging root growth and K+ absorption by the expression of SlmiR319b-regulated SlTCP10, mediating SlJA2 in roots, could provide a new regulation mechanism for increasing K+ acquisition efficiency under low-K+ stress.

BACKGROUND: Liquid biopsy is a promising non-invasive alternative for cancer screening and minimal residual disease (MRD) detection, although there are some concerns regarding its clinical applications. We aimed to develop an accurate detection platform based on liquid biopsy for both cancer screening and MRD detection in patients with lung cancer (LC), which is also applicable to clinical use. METHODS: We applied a modified whole-genome sequencing (WGS) -based High-performance Infrastructure For MultIomics (HIFI) method for LC screening and postoperative MRD detection by combining the hyper-co-methylated read approach and the circulating single-molecule amplification and resequencing technology (cSMART2.0). FINDINGS: For early screening of LC, the LC score model was constructed using the support vector machine, which showed sensitivity (51.8%) at high specificity (96.3%) and achieved an AUC of 0.912 in the validation set prospectively enrolled from multiple centers. The screening model achieved detection efficiency with an AUC of 0.906 in patients with lung adenocarcinoma and outperformed other clinical models in solid nodule cohort. When applied the HIFI model to real social population, a negative predictive value (NPV) of 99.92% was achieved in Chinese population. Additionally, the MRD detection rate improved significantly by combining results from WGS and cSMART2.0, with sensitivity of 73.7% at specificity of 97.3%. INTERPRETATION: In conclusion, the HIFI method is promising for diagnosis and postoperative monitoring of LC. FUNDING: This study was supported by CAMS Innovation Fund for Medical Sciences, 10.13039/501100005150Chinese Academy of Medical Sciences, 10.13039/501100001809National Natural Science Foundation of China, Beijing Natural Science Foundation and Peking University People's Hospital.

Perspective on This Article from Abdominal Obesity, Independent from Caloric Intake, Accounts for the Development of Intestinal Tumors in Apc1638N/+ Female Mice

To determine whether visceral fat (VF), independent of other confounders, is causally linked to intestinal tumorigenesis, we surgically removed visceral fat in Apc1638/N+ mice. At 15 weeks of age, male and female Apc1638/N+ mice were randomized to one of three groups: ad libitum, visceral fat removal (VF-) and ad libitum fed, or caloric restriction, and were studied for effects on tumorigenesis and survival. As compared with ad libitum, VF− and caloric restriction reduced macroadenomas to a similar extent (P < 0.05), but only caloric restriction significantly improved survival (P < 0.05). Given that a significant group × gender interaction was observed, we next examined males and females separately. In females, macroadenomas were markedly attenuated by VF− (1.33 ± 0.23 mean ± SE; P < 0.05), but not by caloric restriction (2.35 ± 0.25; P = 0.71), as compared with ad libitum (2.50 ± 0.34). In males, however, caloric restriction (1.71 ± 0.26; P < 0.01), but not VF− (2.94 ± 0.42; P = 0.29), reduced macroadenomas, as compared with ad libitum males (3.47 ± 0.30). In females, both VF− (P = 0.05) and caloric restriction (P < 0.01) improved survival, but not in male mice (P = 0.15). The benefits observed with caloric restriction were consistent with favorable metabolic adaptations, but protection conferred in VF− females was despite lower adiponectin levels (P < 0.05), and failure to reduce body mass, total adiposity, glucose, insulin, leptin, and chemokine (C–X–C motif) ligand 1 (CXCL-1) levels. In conclusion, these data provide the first causal evidence linking visceral fat to intestinal cancer risk, and suggest that factors, other than known metabolic mediators, may impact tumor development. Furthermore, these data emphasize that strategies designed to deplete visceral fat stores in humans should be considered in the prevention of intestinal cancer. Cancer Prev Res; 6(3); 177–87. ©2012 AACR.

Orthorhombic (ORT) media are commonly used in the descriptions of subsurface strata during the exploration and exploitation of unconventional hydrocarbon reservoirs. In anisotropic media, seismic waves propagating in ORT media usually occur as quasi-P, quasi-S1, and quasi-S2 waves. Approximating the phase velocities and reflection coefficients of these waves is of great significance for predicting the properties of unconventional reservoirs, such as their elastic parameters, fracture azimuths, and fracture densities. At the incidence angles of P waves, we have developed formulas to approximate the reflection coefficients of quasi-P, quasi-S1, and quasi-S2 waves based on their first-order phase velocities and polarization vectors. Under weak anisotropy and weak impedance contrast assumptions, in the [ X, Z] and [ Y, Z] symmetry planes, our approximations basically match Rüger’s approximations at small-to-moderate incidence angles. Numerical analyses verify that our approximations are accurate at all azimuth angles under high impedance contrast and strong anisotropy. Two important innovations are provided in our manuscript. First, the errors in the proposed reflection coefficients only lie in the first-order phase velocities and polarization vectors. Second, we use lower-upper factorization to decompose matrix-dependent reflection coefficients into multiple simple nested formulas, which can be used to calculate the reflection coefficients without matrix operations.

Small cells are deployed in 5G networks to complement the macro cells for improving coverage and capacity. Small cell nodes (SCNs) equipped with edge servers can support emerging computing services such as virtual reality which impose low-latency and precise contextual requirements. With the proliferation of wireless devices, there is an increasing demand for offloading tasks to SCNs. Given limited computation and communication resources, the fundamental problem for a small cell network is how to select computing tasks to maximize effective rewards in an uncertain and stochastic environment. To this end, we propose an online learning framework, LFSC, which has the performance guarantee to guide task offloading in a small cell network. LFSC balances between reward and constraint violations, and it consists of three subroutines: i) a randomized algorithm which calculates selection probability of each task based on task weights; ii) a greedy assignment algorithm which cooperatively allocates tasks among different SCNs based on the selection probability; iii) an update algorithm which exploits the multi-armed bandit technique to update task weights according to the feedback. Our theoretical analysis shows both the regret and violations metrics of LFSC have the sub-linear property. Extensive simulation studies show LFSC outperforms many state-of-the-art algorithms.

Background: Because of poor clinical outcomes, rotator cuff healing in patients with osteoporosis has recently gained attention. Antiresorptive therapy for osteoporosis has been reported to improve healing after repair. However, the comparative effectiveness of anabolic and antiresorptive agents has not been investigated. Hypothesis: Anabolic therapy with abaloparatide (ABL) would outperform antiresorptive therapy with denosumab (Dmab) to improve rotator cuff healing in the osteoporotic status. Study Design: Controlled laboratory study. Methods: A chronic rotator cuff tear model was established in ovariectomy-induced postmenopausal osteoporotic rats. Then, bilateral rotator cuff repairs were conducted in all experimental rats, which were randomly divided into control (CON), Dmab, and ABL groups to receive the corresponding subcutaneous injections. The rats sacrificed at 2 weeks (the early healing period) were used to detect osteoblast and osteoclast activities, related gene expression (osteoclastogenesis, osteogenesis, and chondrogenesis), new bone formation, and mineralization. In the rats sacrificed at 4 and 8 weeks, the bone mineral density and bone architecture at the repaired site were assessed by micro–computed tomography, and rotator cuff healing was evaluated using histological and biomechanical analyses. Results: At 8 weeks, significantly higher failure load and stiffness were observed in the ABL (25.13 ± 3.54 N, P < .001; 21.65 ± 3.08 N/mm, P < .001; respectively), and Dmab (21.21 ± 2.55 N, P < .001; 16.15 ± 2.07 N/mm, P = .008; respectively) groups than in the CON group (13.36 ± 1.70 N; 11.20 ± 2.59 N/mm; respectively), whereas the ABL treatment provided better failure load and stiffness than Dmab ( P = .019; P = .003). Although tendon-to-bone healing was improved by Dmab, the most mature tendon insertion at the interface was observed in the ABL group, including a more organized collagen and fibrocartilage and higher bone quality. ABL significantly promoted bone remodeling via coupling between osteoclasts and osteoblasts (osteoblast to osteoclast ratio: 4.80 ± 0.39; P = .022), thereby stimulating more new bone formation and mineralization at the tendon-to-bone healing interface than Dmab (osteoblast to osteoclast ratio: 3.21 ± 0.75) at 2 weeks. Moreover, ABL had significant effects on gene expression [Runt-realted transcription factor 2 ( Runx2, collagen type I-alpha 1 ( Col1A1]), and sclerostin for osteogenesis; aggrecan and collagen type II ( Col2) for chondrogenesis] in mineralized tissues, indicative of enhanced bone and fibrocartilage formation when compared with the CON and Dmab groups. Conclusion: ABL promoted rotator cuff healing in osteoporotic rats by significantly increasing the mineralized tissue quality and collagen maturity at the reattachment site, leading to improved biomechanical properties, and was superior to Dmab in both biomechanical and histological analyses. Clinical Relevance: Anabolic therapy with ABL may outperform antiresorptive therapy with Dmab in improving outcomes after rotator cuff repair in osteoporotic patients.

The long start-up period is a major challenging issue for the widespread application of aerobic granular sludge (AGS). In this study, a novel rapid start-up strategy was developed by inoculating Phanerochaete chrysosporium (P. chrysosporium) pellets as the induced nucleus in a sequencing batch airlift reactor (SBAR) to enhance activated sludge granulation. The results demonstrated that P. chrysosporium pellets could effectively shorten the aerobic granulation time from 32 to 20 days. The AGS promoted by P. chrysosporium pellets had a larger average diameter (2.60-2.74 mm) than that without P. chrysosporium pellets (1.78-1.88 mm) and had better biomass retention capacity and sedimentation properties; its mixed liquor suspended solids (MLSS) and sludge volume index (SVI

In order to increase the handling stability performance of the four hub-motor independent-drive electric vehicle (4MIDEV) under various road conditions such as joint and bisectional road, this paper present an effective two-level optimal torque distribution control method. This method can calculate torque command to each hub-motor according to the desired longitudinal force and desired extra yaw moment. The first level allocation control algorithm has small calculation cost and fast response, and can achieve the maximum stability margin of vehicle under good road adhesion condition. Because the adhesion coefficients of each wheel are different, the weight coefficient of objective function is adjusted in real time in the second level allocation control strategy, so as to ensure the vehicle’s handling stability under various adhesion conditions, especially when four wheels have different road adhesion coefficients. Finally, the actual torque of the hub-motor is adjusted according to the slip rate by the sliding mode controller. The proposed distribution strategy is verified in CarSim-Matlab/Simulink joint simulation platform and hardware in the loop verification platform. Through double lane shift simulation on joint and bisectional road conditions, compared to the “general control” strategy, it is verified that the proposed distribution strategy can reduce the error of yaw rate and sideslip angle up to 47.1% and 50.3% compare to the general controller, and the calculation cost is reduced so that effectively improve the handling stability and real-time performance when facing different roads.

Purpose Evaluate success of local flavored tobacco (FT) policies in reducing availability of FT products in California. Design Matched-jurisdiction cross-sectional design compared availability of FT at licensed tobacco retailers (LTR) in jurisdictions with and without such policies in 2013 and 2019. Flavor policy jurisdictions were split into strong and weak groups using Flavored Tobacco Policy Rating Rubric. Setting 32 local California jurisdictions Subjects Final sample included 306 LTR in 2013 and 1441 LTR in 2019. LTR were classified as convenience store, liquor store, pharmacy, small market, supermarket, gas station booth, tobacco/vape product store, or other. Measures Retail availability of menthol cigarettes and flavored non-cigarette tobacco. Analysis Logistic regression analysis including covariate (store type) determined whether differences existed in availability of FT in jurisdictions with and without FT policies. Percentage change assessed difference in proportion of retailers that sold FT in 2013 (i.e. before-policies-passed) and in 2019 (i.e. after-policies-became-effective). Results Strong flavor-policy jurisdictions significantly differed from matched no-policy jurisdictions in availability of menthol cigarettes (OR = .04, 95% CI: .02–.08) and flavored non-cigarette tobacco (OR = .07, 95% CI: .05–.11). From 2013 to 2019, these jurisdictions experienced significant declines in menthol cigarettes (87.9% to 35.4%) and flavored non-cigarette tobacco sales (63.8% to 37.0%). Conclusion Strong FT sales restriction policies appear to be effective in reducing availability of FT, thereby creating a healthier retail environment in California.

Disorders of consciousness (DoC) happen frequently in various brain injuries. Their detection helps timely treatment for better survival outcomes of DoC patients. It is conventionally undertaken via clinical examinations, typically behavioural assessments. However, these neurological examinations consume significant resources of manpower and time, making continuous DoC monitoring practically infeasible. To address this issue, a computer-aided approach is proposed in this article for automated DoC detection through extracting knowledge from electroencephalogram (EEG) signals. It introduces a new connectivity measure: Power Spectral Density Difference (PSDD) incorporating with a recursive Cosine function (CPSDD). Then, the approach classifies brain-injured patients into DoC (i.e., positive) and wakefulness (i.e., negative) classes through an ensemble of support vector machines (EOSVM), which is a type of machine-learning methods. It is further applied to a dataset of 607 patients with brain injuries. Our classification results show that the EOSVM classifier with the new connectivity measure CPSDD has achieved the best classification performance among 12 connectivity measures. For a setting of 97% majority voting from all SVMs, the EOSVM has diagnosed, in high confidence, 35% of patients with the accuracy, sensitivity, and specificity of 98.21%, 100%, and 95.79%, respectively. Thus, the classifier EOSVM incorporating with the new connectivity measure CPSDD is a promising tool for automatic detection of DoC in brain injuries.

Background: Recently, the biceps was rerouted into a newly fabricated bicipital groove for in situ superior capsular reconstruction (SCR), resulting in promising time-zero cadaveric and clinical outcomes. However, no studies have determined the in vivo biomechanical and histological processes after the biceps is transposed to a nonanatomic position. Purpose: To explore the in vivo biomechanical and histological processes of the rerouting biceps tendon to treat chronic irreparable rotator cuff tears (IRCTs) in a rabbit model. Study Design: Controlled laboratory study. Methods: A total of 94 skeletally mature male rabbits were used to create a chronic IRCT model in the supraspinatus tendon. Then, the biceps rerouting procedures were performed in rabbits with chronic IRCT. Eighteen rabbits were sacrificed at 1, 3, 6, 9, and 12 weeks postoperatively for biomechanical testing, micro—computed tomography scanning, and histological analysis. The biomechanical and histological changes of intra- and extra-articular portions of the rerouting biceps were evaluated at each time point, with the contralateral native superior capsule (NSC) and the native biceps (NB) as controls, respectively. The morphology and bone formation of the fabricated bicipital grooves were evaluated, with native grooves as controls. Results: The intra-articular rerouting biceps tendon was progressively remodeled over time, displaying denser fibers and more mature collagen than those of the NSC, with gradual improvements in the tendon-to-bone healing interface from 6 to 12 weeks. Consequently, the failure load and stiffness of the intra-articular rerouting biceps portion increased with time and were significantly higher than those of the NSC from 9 weeks. Similarly, the extra-articular portion of the rerouting biceps progressively healed into a new bicipital groove, as demonstrated by a smaller tendon-to-bone interface from 6 to 12 weeks, resulting in greater failure load and stiffness at 9 and 12 weeks than those of the NB attachment. The newly fabricated bicipital groove showed similar morphology to that of the native groove with sufficient trabecular bone formed underneath. Conclusion: The rerouting biceps could progressively remodel and heal into the newly fabricated bicipital groove over time, resulting in greater biomechanical performances in intra- and extra-articular portions than the NSC and the NB attachment. Clinical Relevance: The biceps rerouting technique may be a feasible procedure to perform in situ SCR to treat IRCT in the future clinical practice; however, more clinical evidence is required.