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Load-Bearing

Load-Bearing: The capacity of a structure or material to support a weight or force without exceeding its design limits.
This concept is crucial in engineering, construction, and product development, where understanding the load-bearing properties of materials and structures is essential for ensuring safety, reliability, and optimal performance.
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Most cited protocols related to «Load-Bearing»

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Publication 2019
Background Radiation Bones ECHO protocol Epistropheus Females Femur Fluoroscopy Healthy Volunteers Heel Hypersensitivity Index, Body Mass Joints Knee Leg Injuries Ligaments Load-Bearing Males Operative Surgical Procedures Pulse Rate Radiation Radiation Exposure Radiography Radius Reading Frames Safety Skin Stainless Steel Strains Tibia Tissues TRIO protein, human Vision X-Rays, Diagnostic
To further refine the hit compounds, all the retrieved hits were docked into the binding site of NS3/4A protease. A number of docking programs are available for molecular docking studies. Here, we used Docking protocol implemented in MOE as a docking program [37] . The crystal structure of NS3/4A protease complex with a macrocyclic inhibitor was obtained from protein data bank and was prepared for docking as described in our previous work [38] (link). A maximum of 10 conformations were allowed to be saved for each ligand using the default parameters of MOE (Placement: Triangle Matcher, Rescoring 1: London dG, Refinement: Forcefield, Rescoring 2: GBVI/WSA dG). The top ranked conformations of all docked compounds were saved in a separate database. On the basis of docking score, 300 top ranked compounds were selected for further evaluation. The ligands were ranked by the scores from the Generalized-Born Volume Integral/Weighted Surface Area (GBVI/WSA) binding free energy calculation in the S field which is the score of the last stage. The GBVI/WSA is a scoring function which estimates the free energy of binding of the ligand from a given pose. For all scoring functions, lower scores indicate more favorable poses. The resulted binding interactions between these 300hits and protein were observed using LigPlot implemented in MOE.
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Publication 2014
Binding Sites Childbirth Ligands Load-Bearing Peptide Hydrolases Proteins
Data from this study were collected at multiple locations using a standardised protocol as part of a pre-season assessment of musculoskeletal function in male soccer players [14 ]. The measurement of the length of both lower limbs was performed following the test normalization and previous studies [24 (link), 25 (link)], that is, from the anterosuperior iliac spine to the most distal point of the tibial malleolus. A tape measure with one side graduated in centimetres (cm), a length of 2 m and a width of 2 cm (Lufkin W606PM) was used in this protocol. The dominant leg was determined by asking participants which leg they used to strike a ball with the greatest possible force and accuracy. The test was conducted barefoot to facilitate foot placement and eliminate variability caused by using footwear. A YBT Kit (Perform Better, West Warwick, Rhode Island) was used, which consists of three connected cylindrical tubular plastic bars marked in half cm increments. Each bar has a moveable indicator plate, which the subject moves by pushing with their foot/toes without bearing weight on the indicator [26 (link)]. The player was instructed to stand on the evaluated leg in the center of the platform with the most distal end of the longest toe just behind the red line. While maintaining single leg stand, the player was instructed to reach three trials with the free limb in the anterior direction (AN), posteromedial direction (PM) and posterolateral direction (PL), all designated in relation to the supporting foot, according to the YBT-LQ protocol [26 (link)]. The player had to place his hands on the waist to facilitate the observer's control, since if the subject lost balance, it was easily identifiable when the hands were released from the waist. The assessment was performed with both legs (dominant [Dom] and non-dominant [NDom]). All subjects were familiarised with the test, performing it three times with each leg and selecting the maximum value [14 , 26 (link), 27 (link)].
Attending the study by Falces-Prieto et al. [14 ], the attempt was considered invalid and repeated if the player: released hands at the hips; moved or lifted the supporting foot at any time during the test; placed the free foot on the ground; lost balance from leaving the starting position until returning back; and was unable to maintain the starting position for at least one second after returning back. If the attempt was unsuccessful, the player moved back to the starting position and the attempt was repeated. If the attempt was successful, when the participant returned to the centre, the result was registered.
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Publication 2022
Coxa Foot Ilium Load-Bearing Lower Extremity Males Musculoskeletal Physiological Phenomena Tibia Vertebral Column
To perform dynamic weight bearing (DWB) measurements, animals were placed in a Perspex chamber (model BIO-DWB-AUTO-R; Bioseb, Boulogne, France) with a pressure-sensitive floor and allowed to move freely. Hind limb weight bearing was tracked and recorded over a 3-minute period. Weight borne on the ipsilateral hind paw was calculated as a percentage of the total weight borne on the hind limbs.
Publication 2017
Animals Hindlimb Load-Bearing Perspex Pressure
This is a population-based follow-up study of two low birth weight groups and a control group, all born between 1986 and 1988. One group was born preterm with very low birth weight (VLBW, birth weight: ≤ 1500 g) and the other was born small for gestational age (SGA) at term (birth weight < 10th percentile adjusted for gestational age (GA), sex and parity). The controls were born at term (birth weight ≥ 10th percentile, adjusted for GA, sex and parity).
During the enrolment period, all VLBW participants were admitted to the referral neonatal intensive care unit for the counties of North and South Trøndelag at The University Hospital in Trondheim, Norway. In the same period, the SGA and control participants were enrolled as part of a multicenter study comprising participants from Uppsala, Sweden, and Trondheim and Bergen, Norway [28 (link)]. A 10% random sample of women was selected for follow-up during pregnancy. At birth, all children of mothers in the random sample and all children born SGA in the nonrandom sample were included for follow-up. Of these, only SGA and control participants recruited in Trondheim were included in the present study. Data were collected between autumn 2006 and autumn 2008.
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Publication 2012
Birth Birth Weight Child Childbirth Gestational Age Load-Bearing Mothers Pregnancy Premature Birth Term Birth Woman

Most recents protocols related to «Load-Bearing»

Data were extracted from the CPQCC database, which at the time of the study period included data collected across 132 NICUs that accounted for the care of more than 95% of VLBW infants born in California. Data from California’s Department of Health Care Access and Information were linked to CPQCC records to obtain detailed maternal information, including race, ethnicity, maternal education, and payer type.
We included 37,122 infants who were born with a birth weight of 500–1500 g or with gestational age of 23–34 weeks from 2008 to 2016 and discharged alive before 50 weeks corrected gestational age. The limit of 50 weeks corrected gestational age was chosen to exclude those patients with special circumstances leading to longer hospitalization; the Fenton growth charts are available up to 50 weeks postmenstrual age (PMA). A subset of 20,019 infants born with a birth weight below 1000 g or gestational age of 23–28 weeks were selected for subgroup analysis. Infants with severe congenital anomalies were excluded, as were patients with missing data for birth weight, discharge weight, or sex. In addition, we excluded patients with a weight Z-score at birth or discharge more than five standard deviations above or below the expected mean as an error. The Institutional Review Board at Stanford University approved the study.
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Publication 2023
Birth Birth Weight Childbirth Congenital Abnormality Ethics Committees, Research Ethnicity Gestational Age Hospitalization Infant Load-Bearing Mothers Patient Discharge Patients
Participants were initially included in a multicentre study investigating the aetiology and consequences of intrauterine growth restriction29 (link),30 (link). Pregnant women living in the Trondheim region were enrolled before week 20 of pregnancy based on referral from general practitioners and obstetricians. Women were eligible if they had a singleton pregnancy and had been pregnant one or two times before (n = 1249). A 10% random sample of these women were selected to serve as a control group (n = 132), using a sealed envelope method. A group of women at high risk of giving birth to an SGA infant were selected for follow-up if they had one or more defined risk criteria for SGA birth; a previous low birth weight child, low pre-pregnancy weight (< 50 kg), previous perinatal death, presence of chronic maternal disease (chronic renal disease, essential hypertension, or heart disease), or maternal cigarette smoking at conception (n = 390). Women in the control group and the high-risk group were thoroughly followed during pregnancy and their infants were examined at birth. The rest of the women (n = 727) were not followed during pregnancy (Fig. 1).

Flow of participants. SGA small for gestational age.

At birth, all SGA infants born to mothers in either group were included in the SGA group (Fig. 1). An infant was defined as being born SGA if the birth weight was < 10th percentile for gestational age (GA), corrected for sex and parity, according to a reference standard using data from the Norwegian Medical Birth Registry29 (link). Non-SGA infants born to mothers in the random sample were included in the control group. They were born with a birth weight ≥ 10th percentile. GA was based on the first day of the mother’s last menstrual period if this was accurately recalled ± 3 days. Ultrasound based GA was used if the last menstrual period was not recalled, or if there was a discrepancy of more than 14 days. Both groups were born at term (GA ≥ 37 weeks)29 (link),30 (link).
The total sample included 104 participants born SGA and 120 controls (Fig. 1). Three individuals born SGA and two controls were excluded due to death, congenital syndrome/anomaly, or multimorbidity. Of the eligible, 15 individuals born SGA and 14 controls were not invited because they were living abroad, had no contact information or had previously refused to participate. Thus, a total of 190 were invited to the present study, 86 in the SGA group and 104 in the control group. Of these, 30 individuals born SGA and 36 controls did not consent to participate. Furthermore, 10 individuals born SGA and seven controls were not assessed clinically. Thus, 46 participants born SGA and 61 controls were assessed clinically, corresponding to 56.3% of the invited.
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Publication 2023
Birth Weight Child Childbirth Conception Congenital Abnormality Disease, Chronic Essential Hypertension General Practitioners Genital Infantilism Gestational Age Heart Diseases Infant Kidney Failure, Chronic Load-Bearing Menstruation Mothers Obstetrician Population at Risk Pregnancy Pregnant Women Syndrome Ultrasonography Woman
All studies involving animal testing were carried out in accordance with ethical guidelines for animal research acknowledging the European Directive 2010/63/UE as to the animal welfare and protection and the related codes of practice. The mice were purchased from Charles River, housed in steel cages under controlled environmental conditions (constant temperature, humidity, and 12 h dark/light cycle), and alimented with commercial standard feed and tap water ad libitum. The Lewis Lung Carcinoma (LLC) cell line was purchased from ECACC, United Kingdom. The LLC cell line was maintained in DMEM (Euroclone) supplemented with 10% heat-inactivated fetal bovine serum (Euroclone), 10 mM L-glutamine, 100 U mL−1 penicillin, and 100 μg mL−1 streptomycin in a 5% CO2 air incubator at 37 °C. The LLC was implanted intramuscularly (i.m.) as a 2 × 106 cell inoculum into the right hind leg of 8-week-old male and female C57BL mice (24 ± 3 g body weight). After 7 days from tumor implantation (visible tumors), mice were randomly divided into 4 groups (8 animals per group) and subjected to daily i.p. administration. Control mice received the vehicle (1% PEG2000 (v/v) and 99% of a saline solution (v/v)), whereas treated groups received daily doses of 5i (20 mg kg−1 in vehicle solution), gemcitabine (60 mg kg−1 in 0.9% saline solution, iv) or cisplatin (3 mg kg−1 in saline solution, iv). At day 15, animals were sacrificed, the legs were amputated at the proximal end of the femur, and the inhibition of tumor growth was determined from the difference in the weights of the tumor-bearing leg and the healthy leg of the animals, expressed as a percentage referenced to the control animals. Body weight was measured at day 0 and from day 7 onwards every 2 days and was taken as a parameter for systemic toxicity. All presented values are the means ± SD of no less than three measurements.
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Publication 2023
Animals As-A 2 Body Weight Carcinoma, Lewis Lung Cell Lines Cells Cisplatin Europeans Females Femur Fetal Bovine Serum Gemcitabine Glutamine Humidity Load-Bearing Males Mice, Inbred C57BL Mus Neoplasms Normal Saline Ovum Implantation Penicillins Psychological Inhibition Rivers Saline Solution Steel Streptomycin
Weight-stable, tumor-bearing male KPC mice with tumors of 3-5 mm size and no evidence of obstructive common bowel duct, and their respective weight- and age-matched control counterparts (PC mice) were enrolled in the experiments.
Weight-stable wild-type 9-weeks old male BALB/c mice were inoculated with 2x106 viable C26 colorectal cancer cells subcutaneously (s.c.) and enrolled on study together with their respective controls.
At day of enrolment (day 14 post-injection of C26 cells), mice were stratified in terms of tumor size, body weight and age, singly-housed and randomly allocated into two experimental matched groups fed with different diets: mice were fed with either standard diet (#5053 PicoLab® Rodent Diet 20; LabDiet) or ketogenic diet (KD) (#F3666; Bio-Serv). Ketogenic diet was given in a Petri dish container that was replaced daily due to potential oxidation of the diet.
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Publication Preprint 2023
Body Weight Cells Choledochus Colorectal Carcinoma Diet Hyperostosis, Diffuse Idiopathic Skeletal Intestines Ketogenic Diet Load-Bearing Males Mice, Inbred BALB C Mus Neoplasms Rodent
The measuring device was inspired by a device proposed by Chuong and Fung21 (link) who used it for radial compression tests. We propose some modifications, however. The biggest change being that we chose a force driven setup instead of a displacement driven one. That allows the thickness at the measuring location to be measured under constant acting force. The experimental stand consists of seven main parts (Fig. 2). (a) A rigid stand ensuring a fixed position in relation to the body of the measuring machine. (b) The body of the measuring machines is designed so that there is no deformation during loading and therefore no measurement distortion. Further, it contains enough space below the measurement area to accommodate a camera. That is useful for checking planarity and parallelism of both surfaces (here performed via photo of a squeezed drop of stained water). (c) Guide pivot ensuring pure axial movement. (d) Laser meter optoNCDT 1420-50 (Micro-Epsilon, Czech Republic) with an accuracy of ± 2 μm. (e) System of weights with total mass (including the base weight) of 2798.78 g. The variance of weights mass mi is from 46.99 g to 262.4 g. The weights were made of steel sheets with a variance of thicknesses from 0.5 to 5 mm. The weight of the individual weights was determined using an ABS320-4N (range 320 g, Kern & Sohn, Germany) laboratory scale with an accuracy of ± 0.2 mg. The mass of individual weights was written on them to avoid confusion. (f) The base weight lying on a specimen of soft tissue. The base weight consists of an aluminum plate and two linear bearings made of PTFE (colored purple in Fig. 2). Base weight mass including the bearings was 50.31 g ( meff) and its dimensions 80 × 50 mm ensured the specimen was always fully covered by it. Parallelism between base glass and base weight was verified during stand assembling via photo of a squeezed drop of stained water and was below 0.02 mm which is considered fully sufficient. (g) The 4 mm thick base glass. It is important to stress that the direct laser measurement of soft tissue thickness is unreliable15 (link). Therefore we always measured the position of the top surface of the base weight instead. That is why there are holes in the additional weights (marked green in Fig. 2) so the laser beam always reflects from the top surface of the base weight.

The experimental stand used in the study. It has seven major parts. (a) laser holder, (b) measuring device body, (c) guide pivot, (d) laser meter, (e) system of weights, (f) base weight with slide bearings, (g) basic glass. Item (h) is the tissue sample.

Finally, it is noted the used base weight mass is an effective mass which means we compensated for bearings friction forces reducing the forces acting on the specimen. A spring with known stiffness k = 0.62 N/mm (measured on classical tensile test machine with 100 N load cell) was placed between the base glass and base weight. Gross base weight mass of m=57.88g should compress the spring by w=m·gk= 0.92 mm ( g stands for gravity constant), while we repeatedly (5 times) measured compression of 0.80mm±0.06mm . This reduced compression was recalculated into the effective base weight mass of meff=50.31g±3.94g ; this value was used in all the consequent analyses. It is underlined this analysis should be always performed when the stand is assembled to check the parallelism of guiding pivots and the influence of friction.
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Publication 2023
Aluminum Cells Friction Gravity Human Body Load-Bearing Medical Devices Movement Muscle Rigidity Polytetrafluoroethylene Steel Tissues

Top products related to «Load-Bearing»

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More about "Load-Bearing"

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Load-bearing is a critical concept in engineering, construction, and product development, where understanding the weight-bearing capabilities of materials and structures is essential for ensuring safety, reliability, and optimal performance.
PubCompare.ai's AI-driven platform revolutionizes load-bearing research by effortlessly locating the best protocols from literature, preprints, and patents, enabling researchers and developers to optimize their work and stay at the forefront of this field.
Experince the future of load-bearing research with PubCompare.ai's cutting-edge technology.