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2,638 results for “Hip”
Data from: More than one way to be a giant: convergence and disparity in the hip joints of saurischian dinosaurs
<p>Saurischian dinosaurs evolved seven orders of magnitude in body mass, as well as a wide diversity of hip joint morphology and locomotor postures. The very largest saurischians possess incongruent bony hip joints, suggesting that large volumes of soft tissues mediated hip articulation. To understand the evolutionary trends and functional relationships between body size and hip anatomy of saurischians, we tested the relationships among discrete and continuous morphological characters using phylogenetically corrected regression. Giant theropods and sauropods convergently evolved highly cartilaginous hip joints by reducing supraacetabular ossifications, a condition unlike that in early dinosauromorphs. However, transitions in femoral and acetabular soft tissues indicate that large sauropods and theropods built their hip joints in fundamentally different ways. In sauropods, the femoral head possesses irregularly rugose subchondral surfaces for thick hyaline cartilage. Hip articulation was achieved primarily using the highly cartilaginous femoral head and the supraacetabular labrum on the acetabular ceiling. In contrast, theropods covered their femoral head and neck with thinner hyaline cartilage and maintained extensive articulation between the fibrocartilaginous femoral neck and the antitrochanter. These findings suggest that the hip joints of giant sauropods were built to sustain large compressive loads whereas those of giant theropods experienced compression and shear forces.</p>
One-year hip fracture mortality
<p>The dataset contains 1258 records and 32 numerical variables related to hip fracture patients. It includes demographic data, functional indices, comorbidities, postoperative complications and 365-day mortality-follow-up. It is ideal for predictive studies or survival analysis.</p>
Mechanical energy fluctuation in lower limbs during walking in participants with and without total hip replacement
<p>Mechanical energy fluctuation of the segments in the lower limbs during walking has not been fully investigated. It was hypothesised that the segments of the lower limbs may work as a pendulum, i.e., the kinetic and potential energies exchanged out of phase. This study aimed to investigate energy changes and recovery during gait in hip replacement patients. The gait data for 12 participants with total hip replacement and 12 age-matched controls were compared. The kinetic, potential, and rotative energies for the whole lower limb and thigh, calf, and foot, were calculated. The effectiveness of a pendulum effect was analysed. Gait parameters, e.g., walking speeds, cadence, and stride length were calculated. The results showed that the thigh had significant effectiveness as a pendulum during gait with an energy recovery coefficient of approximately 40% while the calf and foot were less like a pendulum during gait. In comparison, energy recoveries of the lower limbs in the two groups were not significantly different. If the centre of the pelvis was considered as approximate to the centre of mass, however, the control group had a higher energy recovery than the total hip replacement group by roughly 10%. This study concluded that the mechanical energy recovery mechanism in the lower limbs during walking exists for two groups.</p>
The dataset of the manuscript "GPU-HADVPPM4HIP V1.0: higher model accuracy on China's domestically GPU-like accelerator using heterogeneous compute interface for portability (HIP) technology to accelerate the piecewise parabolic method (PPM) in an air quality model (CAMx V6.10)"
<p><strong>bcfile.zip:</strong> the clean boundary condition files.</p> <p><strong>CAMxv6x_cpp.zip: </strong>the source code of CAMx-HIP version which coupled with HIP-HADVPPM scheme.</p> <p><strong>data.zip:</strong> final data tables used to plot figures.</p> <p><strong>emisfile.zip: </strong>the emission files.</p> <p><strong>icfile.zip:</strong> the clean initial condition files.</p> <p><strong>tuvfile.zip </strong>and <strong>o3mapfile.zip:</strong> the photolysis files.</p> <p><strong>outputfile.zip:</strong> the computation results outputted by CAMx model for Fortran version on the Intel Xeon E5-2682 v4 CPU, CUDA version on the NVIDIA K40m and V100 clusters, and HIP version on the China' s domestically heterogeneous cluster A.</p> <p><strong>wrfcamx.zip:</strong> the meteorological files.</p> <p><strong>offline_test_cuda.zip: </strong>the advection module code written in CUDA C language</p> <p><strong>offline_test_fortran.zip:</strong> the advection module code written in Fortran language</p> <p><strong>offline_test_hip.zip: </strong>the advection module code written in HIP C language</p>
Deciphering the low abundance microbiota of presumed aseptic hip and knee implants
<p><strong>Deciphering the low abundance microbiota of presumed aseptic hip and knee implants</strong></p> <p>This data set includes input files and results associated with our work "Deciphering the low abundance microbiota of presumed aseptic hip and knee implants".</p> <p><strong>Contents</strong></p> <p><em>aitch_dist.txt</em>: Aitchison distance matrix</p> <p><em>clinical_envfit.RData</em>: envfit results for clinical information</p> <p><em>contam_by_freq_0.2.txt</em>: decontam results (identifying contaminants by frequency)</p> <p><em>contam_by_prev_0.2.txt</em>: decontam results (identifying contaminants by prevalence)</p> <p><em>counts.txt</em>: counts table resulting from reads processed with custom demultiplexing script</p> <p><em>cutadapt_counts.txt</em>: counts table resulting from reads processed with cutadapt</p> <p><em>cutadapt_meta.txt</em>: metadata table accompanying <em>cutadapt_counts.txt</em></p> <p><em>cutadapt_tax.txt</em>: taxonomy table resulting from reads processed with cutadapt</p> <p><em>cutadapt_track.txt</em>: table summarizing retention of reads processed with cutadapt throughout the DADA2 pipeline</p> <p><em>dna_concs.txt</em>: DNA concentrations per sample</p> <p><em>extraction_aldex2.txt</em>: ALDEx2 results for comparison of DNA extraction methodologies</p> <p><em>extraction_envfit_and_pca.RData</em>: envfit results and PCA biplot for DNA extraction methodologies</p> <p><em>extraction_shannon_diversity.txt</em>: Shannon diversity and extraction methodology per sample</p> <p><em>fwd_barcodes.fasta</em>: forward barcodes for use by cutadapt</p> <p><em>meta.txt</em>: metadata table accompanying <em>counts.txt</em></p> <p><em>meta_clinical.txt</em>: metadata table for clinical information</p> <p><em>meta_st.txt</em>: metadata for use by SourceTracker</p> <p><em>not_contam_0.05.txt</em>: decontam results (identifying non-contaminants)</p> <p><em>pt_oac_aldex2.txt</em>: ALDEx2 results for comparison of sample type, controlling for the effect of DNA extraction methodology</p> <p><em>pt_oac_envfit_and_pca.RData</em>: envfit results and PCA biplot for sample type </p> <p><em>pt_oac_shannon_diversity.txt</em>: Shannon diversity, sample type, and extraction methodology per sample</p> <p><em>rev_barcodes.fasta</em>: reverse barcodes for use by cutadapt</p> <p><em>spike_1_dists.txt</em>: Aitchison distances between spike 1 samples and other samples on the same plate</p> <p><em>spike_2_dists.txt</em>: Aitchison distances between spike 1 samples and other samples on the same plate</p> <p><em>tax.txt</em>: taxonomy table resulting from reads processed with custom demultiplexing script</p> <p><em>track.txt</em>: table summarizing retention of reads processed with custom demultiplexing script throughout the DADA2 pipeline</p> <p><strong>Code Availability</strong></p> <p>Scripts to process and produce these data are available at https://github.com/charlie-carr/implant_microbiota</p> <p><strong>Citation</strong></p> <p>Carr C, Wilcox H, Burton JP, Menon S, Al KF, O’Gorman D, et al. (2021) Deciphering the low abundance microbiota of presumed aseptic hip and knee implants. PLoS ONE 16(9): e0257471. https://doi.org/10.1371/journal.pone.0257471</p>
Single stage exchange for PJI of the hip
<p>This video illustrates our surgical technique for single stage exchange for periprosthetic joint infection of the hip.</p>
Assessment of Fast-Track pathway in hip and knee replacement surgery by propensity score matching on patient-reported outcomes
<p>This is the dataset accompanying the publication "Assessment of Fast-Track pathway in hip and knee replacement surgery by propensity score matching on patient-reported outcomes" published on the Diagnostics journal.</p>
Discrete ankle, knee and hip kinematic parameters for overground walking assessed using inertial sensors in patients with various orthopaedic conditions
<p>The goal of this study was to take the first step towards a diagnosis tool for multi-joint patients by investigating whether it is possible to distinguish subjects respective their disease group solely based on discrete parameters describing their gait pattern.</p> <p>A dataset including patients with unilateral knee or hip osteoarthritis, cervical or lumbar spinal stenosis, and healthy controls was compiled. All participants performed a gait analysis comprising approximately 30 steps at their self-selected preferred walking speed. Spatiotemporal parameters and ankle, knee and hip kinematic trajectories were captured using the inertial sensor system RehaGait® (RehaGait Hasomed GmbH, Magbedurg, Germany). </p> <p>Data of 254 participants were extracted from the laboratory database projects. After checking for duplicates and removing data that did not pass the quality check, 206 participants remained in the final dataset, including 30 patients with unilateral knee ostoarthritis, 20 with unilateral hip osteoarthritis, 43 with lumbar spinal stenosis, 17 with cervical spinal stenosis, and 96 healthy controls. Discrete parameters were extracted for each step using an inhouse algorithm written in Matlab. Mean values for all parameters were calculated for each participant and side and used for further analysis. Sociodemographic data, spatiotemporal parameters, and calculated angles were collected in one dataset, which was then checked for missing values. Missing values of the healthy participants were filled with the mean angle of this group. Missing values in the patient group were filled using the nearest-neighbors method.</p>
How do patients sleep after orthopedic surgery? Changes in objective sleep parameters and pain in hospitalized patients undergoing hip and knee arthroplasty
<p><strong>Aim.</strong> Sleep impairment after hip and knee arthroplasty is multifactorial and still poorly understood and post-operative pain is a potential cause of sleep deprivation or disturbances. The aim of this study was to assess actigraphy-based sleep characteristics and pain scores in patients undergoing knee or hip joint replacement and hospitalized for ten days after surgery. <strong>Methods.</strong> In this observational cohort study, n=20 subjects (11 males and 9 females; age: 64.0±10.39 years old) completed a daily sleep diary and wore the Actiwatch 2 actigraph (Philips Respironics, Portland, OR) to record sleep parameters for 11 consecutive days, starting the day before surgery and ending the 10<sup>th</sup> day after surgery. Subjective scores of pain, by a visual analog scale (VAS), were constantly monitored for the entire experimental protocol. The following evaluation time-points have been considered for the analysis: pre-surgery (PRE), the first (POST1), the fourth (POST4) and the tenth day (POST10) after surgery. A repeated-measures one-way analysis of variance followed by the Tukey-Kramer post hoc tests, or the equivalent nonparametric Friedman test followed by the Dunn’s multiple comparisons, was applied to test differences in sleep and pain among time-points. Test for correlation between mean VAS score and the sleep parameters at each post-operative time point were performed using Pearson’s method. <strong>Results.</strong> Sleep quantity and timing parameters did not differ from PRE to POST10, during the hospitalization. On the contrary, Sleep Efficiency (p=0.006; η<sup>2</sup><sub>p</sub>=0.45, large), Sleep Latency (p=0.039; η<sup>2</sup><sub>p</sub>=0.37, large), Wake After Sleep Onset (p=0.042; η<sup>2</sup><sub>p</sub>=0.34, large), Immobility Time (p=0.005; η<sup>2</sup><sub>p</sub>=0.47, large) and Fragmentation Index (p=0.016; η<sup>2</sup><sub>p</sub>=0.36, large) displayed significant differences. In detail, Sleep Efficiency and Immobility Time significantly decreased at POST1 compared to PRE by 10.8% (p=0.003; ES: 0.9, moderate) and 9.4% (p=0.005; ES: 0.86, moderate) respectively. Overall, all sleep quality parameters showed a trend of constant improvement from POST1 to POST10. VAS scores were higher in the 1<sup>st</sup> day post-surgery (4.58 ± 2.46; p=0.0011 and ES: 1.40, large) compared to POST10 (1.68 ± 1.58) and in POST4 (3.85 ± 2.31) compared to POST10 (-2.18; p=0.0087 and ES: 1.09, moderate). During time, mean VAS showed significant negative correlations with mean Sleep Efficiency (r = -0.71; p=0.021) and mean Immobility Time (r = - 0.83; p=0.003) and a significant positive correlation with Fragmentation Index (r = 0.70; p=0.023), highlighting that high scores of pain were associated with lower overall sleep quality. <strong>Conclusion.</strong> Sleep quantity and timing parameters were stable during the entire hospitalization whereas sleep quality parameters significantly worsened the 1<sup>st</sup> night after surgery compared to the pre-surgery night and, overall, these parameters showed a trend of constant improvement until discharge. Pain scores were at the highest level the 1<sup>st</sup> day after surgery and at the lowest level before discharge with a negative correlation between pain and sleep quality parameters during time. The present study confirms the important impact of surgery on sleep parameters, especially on the first few post-operative days.</p>
Apothecary vase for rose hip preserve
The presented English delftware type faience apothecary vase comes from the collection of Mateusz Bronisław Grabowski (1904–1976). The cartouche contains a pharmacy inscription: C[ONSERVA]: CYNOSBAT[I], i.e. rose preserve. The raw material used to make this preparation was the dog rose fruit (Rosa canina L.), also called rosehip (Fructus Cynosbati).It was a mild laxative, also recommended for kidney stones. ID no.: KGZ 5943 Time of creation: 18th century Museum: The Museum of Pharmacy at the Jagiellonian University Medical College in Kraków https://muzea.malopolska.pl/en/objects-list/2712 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Image-Guided Radiation Therapy in Treating Patients With Primary Soft Tissue Sarcoma of the Shoulder, Arm, Hip, or Leg
ClinicalTrials.gov study NCT00589121. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Comparison in Need for Bank Blood Between Patients Undergoing Total Hip Surgery That Either Receive Their Own Blood Back or Not
ClinicalTrials.gov study NCT00822588. IPD Sharing: Not stated. Countries: 4. Publications: 1.
Movement Pattern Training in People With Intra-articular, Prearthritic Hip Disorders
ClinicalTrials.gov study NCT02913222. IPD Sharing: NO. Countries: 1. Publications: 4.
Pradaxa (Dabigatran Etexilate 220 mg/q.d. in the General Population After Hip or Knee Replacement Surgery
ClinicalTrials.gov study NCT00846807. IPD Sharing: Not stated. Countries: 9. Publications: 1.
Manual Therapy and Strengthening for the Hip in Older Adults With Chronic Low Back Pain
ClinicalTrials.gov study NCT04009837. IPD Sharing: Not stated. Countries: 1. Publications: 2.
HAKA: Routine Follow-Up at 1 Year After Hip- or Knee Arthroplasty: Wasting Resources or Appropriate Healthcare?
ClinicalTrials.gov study NCT06971757. IPD Sharing: YES. Countries: 1. Publications: 0.
Prevalence of Sleep Apnea in Patients Presenting for Hip or Knee Replacement Surgery
ClinicalTrials.gov study NCT00874822. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Study to Compare Exposure of TA Following Administration of FX006 or TAcs in Patients With OA of the Shoulder or Hip
ClinicalTrials.gov study NCT03382262. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Comparison of Intermittent Bolus Vs. Continuous Infusion PENG Block for Postoperative Pain in Hip Surgery
ClinicalTrials.gov study NCT06834243. IPD Sharing: NO. Countries: 1. Publications: 2.
Ceramic-on-ceramic THA for Post-traumatic Hip Osteoarthritis After Acetabular Fracture
ClinicalTrials.gov study NCT04034043. IPD Sharing: NO. Countries: 1. Publications: 6.
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International Brain Laboratory public data
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OpenNeuro
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