Background:
Success of valgus-type supramalleolar osteotomy (SMOT) depends on adequate correction of malalignment, which can be hard to achieve with current 2-dimensional (2D) planning and operative ...techniques. A personalized digital 3-dimensional (3D) workflow to virtually plan and perform a 2-step 3D-guided medial opening (MO) SMOT has the potential to improve precision of correction.
Methods:
Computed tomography (CT)–based Proplan medical 3D models were made to virtually plan the desired MO SMOT, and exported to 3-Matic medical to develop patient-specific 2-step cutting and wedge guides. Workflow accuracy was tested in this limited clinical pilot study (3 patients) by comparing the virtual planned position of the osteotomized distal tibial fragment with the 1-year post-MO SMOT configuration. Two millimeters or less translation deviation in every plane was defined as accurate.
Results:
Primary outcome analysis of the osteotomized distal tibial fragment deviation showed a median translation in all planes of 0.7 (range 0-8.2) mm (interquartile range 1.55) with an excellent interrater reliability of the measurements (intraclass correlation coefficient 0.998). There was a strong reduction in ankle pain as reflected by an increase of the AOFAS-AH score and decrease of NRS pain score with an unrestricted hindfoot motion 1 year after surgery.
Conclusion:
3D virtually planned bone cutting and wedge guides is a promising approach associated with minimal postoperative deviation from the desired correction in medial opening supramalleolar osteotomy.
Over the last few decades, increase in global temperatures have led to a deterioration in the quality of open spaces, urban vitality, and public health. Strenuous physical training under hot ...conditions outdoors increases the potential for developing heat illnesses. It is therefore necessary to examine the relationships between human physiological indices, psychological responses, and outdoor thermal indices to predict and evaluate human thermal safety in hot environments. A 9-day experiment was conducted in September 2019, which tested the thermal comfort and cognitive ability of 1102 students. Their physiological parameters (Heart rate, Auditory canal temperature) were recorded before and after physical training. Results showed that there were significant differences in the thermal sensation vote before and after physical training. The classification of heat stress was modified based on the MTSV regression model and PET. The maximum acceptable PET was 23.0 °C before physical training and 21.7 °C after physical training. When PET ≥ 40.1 °C, a reduction in physical training intensity is recommended. When PET ≥ 45.7 °C, cessation of physical training should take place and sun exposure should be reduced to avoid health hazards. It is important to use the auditory canal temperature instead of the core temperature to calculate the physiological strain index (PSI). More than 15% of the subjects had a PSI ≥ 7.0 during the test. When the body is in a thermally neutral state (MTSV = −0.5– 0.5), PSI ≤ 2.0. When the MTSV ≥3.2, PSI ≥ 7.0, physical training intensity should be reduced, and warning information should be provided. According to the expected distribution of physical training time and rest time, it is recommended that the time of each physical training session should be within 30 min, with a resting period of more than 30 min in hot environments.
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•There were significant differences in the thermal sensation vote before and after training.•Sun exposure of training should be reduced while PET higher 54.1 °C.•Training intensity should be reduced while PSI exceeding 7.0.•The time of each training session should be within 30 min.
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•A new method for detection of Fumonisin B1 mycotoxin in real maize samples.•The method consisted combine MIP membrane and PSI-MS for mycotoxin analysis.•The method exhibits a low ...detection limit (22.0 μg L-1) and good recoveries (98–105.5%).•A fast and straightforward way determined fumonisin B1 in maize-based products.
Fumonisin B1 (FB1) is the most abundant and important mycotoxin for agriculture, food, and health among all fumonisins due to its widespread presence and toxicity. This compound is a concern for industries involving maize and maize-based products. This study proposes a new approach using molecularly imprinted polymer (MIP) combined with paper spray ionization mass spectrometry (PSI-MS) to enhance the sensitivity of analysis of FB1 in maize samples. MIP was synthesized directly on a cellulose membrane using 1,2,3-propanetricarboxylic acid as a template molecule. The analytical performance of MIP-PSI-MS provided a linear calibration curve with R2>0.99. Precision and accuracy were less than 5.5 % for all analyses. Finally, the MIP-PSI-MS method was applied to quantify the contents of FB1 in commercial maize samples, and 0.439 ± 0.060 and 0.486 ± 0.061 μg mL−1 were found in two samples.
•Low levels of COVID-19 mortality, and high diversity in the Qatari population.•PSI and CURB-65 were assessed for predicting COIVD-19 mortality and CCI.•We modified PSI/CURB-65 models to predict CCI ...using LASSO with logistic regression.•The PSI performed better than CURB-65 for predicting mortality.•The CURB-65 outperformed PSI in predicting CCI.
Objectives: To validate and recalibrate the CURB-65 and pneumonia severity index (PSI) in predicting 30-day mortality and critical care intervention (CCI) in a multiethnic population with COVID-19, along with evaluating both models in predicting CCI.
Methods: Retrospective data was collected for 1181 patients admitted to the largest hospital in Qatar with COVID-19 pneumonia. The area under the curve (AUC), calibration curves, and other metrics were bootstrapped to examine the performance of the models. Variables constituting the CURB-65 and PSI scores underwent further analysis using the Least Absolute Shrinkage and Selection Operator (LASSO) along with logistic regression to develop a model predicting CCI. Complex machine learning models were built for comparative analysis.
Results: The PSI performed better than CURB-65 in predicting 30-day mortality (AUC 0.83, 0.78 respectively), while CURB-65 outperformed PSI in predicting CCI (AUC 0.78, 0.70 respectively). The modified PSI/CURB-65 model (respiratory rate, oxygen saturation, hematocrit, age, sodium, and glucose) predicting CCI had excellent accuracy (AUC 0.823) and good calibration.
Conclusions: Our study recalibrated, externally validated the PSI and CURB-65 for predicting 30-day mortality and CCI, and developed a model for predicting CCI. Our tool can potentially guide clinicians in Qatar to stratify patients with COVID-19 pneumonia.
Measurement by the STAR experiment at RHIC of the cold nuclear matter (CNM) effects experienced by inclusive J / ψ at mid-rapidity in 0-100% p+Au collisions at s NN = 200 GeV is presented. Such ...effects are quantified utilizing the nuclear modification factor, R p Au , obtained by taking a ratio of J / ψ yield in p+Au collisions to that in p+p collisions scaled by the number of binary nucleon-nucleon collisions. The differential J / ψ yield in both p+p and p+Au collisions is measured through the dimuon decay channel, taking advantage of the trigger capability provided by the Muon Telescope Detector in the RHIC 2015 run. Consequently, the J / ψ R p Au is derived within the transverse momentum ( p T ) range of 0 to 10 GeV/c. A suppression of approximately 30% is observed for p T < 2 GeV/c, while J / ψ R p Au becomes compatible with unity for p T greater than 3 GeV/c, indicating the J / ψ yield is minimally affected by the CNM effects at high p T . Comparison to a similar measurement from 0-20% central Au+Au collisions reveals that the observed strong J / ψ suppression above 3 GeV/c is mostly due to the hot medium effects, providing strong evidence for the formation of the quark-gluon plasma in these collisions. Several model calculations show qualitative agreement with the measured J / ψ R p Au , while their agreement with the J / ψ yields in p+p and p+Au collisions is worse.
•Degree of P saturation correlates with dissolved P in soil solution.•Common agronomic soil tests can be used as tools to calculate P saturation.•Dissolved P was linear related to P ...saturation.•Concentration of amorphous Al- and Fe-(hydr)oxides are relatively high in Swedish soils.•P sorption capacity in Swedish soils can be estimated from a single P sorption test.
In response to concerns over the translocation of P from soils to P-sensitive water bodies, there is high demand for developing simple indicators for evaluating a soil’s risk of releasing P into solution. Many studies have shown that the degree of soil phosphorus saturation (DPS), calculated as the ratio of soil P concentration to soil P sorption capacity (PSC), is good predictor of a soil’s risk of releasing P in solution. In this study we compared four different DPS indices in how well they predicted dissolved P following extraction with either a 0.01 M CaCl2 (PCaCl2) solution or deionized water (PW). The first two indices were calculated from the ratio of extractable P to extractable Al and Fe using either acid ammonium oxalate (AlOX + FeOX) or ammonium lactate solutions (AlAL + FeAL). The second two DPS indices were calculated from the ratio of either Olsen-extractable P or AL-extractable P with sorption capacity estimated from the single point P sorption index (PSI). On a subset of 11 soils, we compared the different methods for estimating PSC with fitted Langmuir sorption maximum (Smax) using data from complete sorption isotherms. Both (AlOX + FeOX) and PSI were well correlated with Smax and hence regarded as good estimates for P sorption capacity. Conversely, (AlAL + FeAL) was not significantly correlated with Smax. P saturation calculated from PSI together with PAL or POls predicted PCaCl2 and PW best, whereas P saturation calculated from ammonium oxalate predicted PCaCl2 and PW the least. We did not find notable improvements in the regression models when we added a second explanatory variable (clay content, pH or total carbon) to the models. Our results show that multiple measures of P saturation provide similar predictions of a soiĺs potential for releasing dissolved P into soil solution. This provides flexibility in how P saturation indices are calculated to identify leaching prone hotspots.
This article examines a new family of (p,q)‐Laplacian type nonlinear fractional impulsive differential coupled equations involving both the
ψ$$ \psi $$‐Caputo fractional derivative and
ψ$$ \psi ...$$–Riemann–Liouville fractional integral. With the help of Nehari manifold in critical point theory and fractional calculus properties, we obtain the existence of at least one nontrivial ground state solution for the coupled system with some natural and easily verifiable superlinear conditions on the nonlinearity.
Eleven genes (
ndhA-
ndhK) encoding proteins homologous to the subunits of bacterial and mitochondrial NADH dehydrogenase (complex I) were found in the plastid genome of most land plants. These genes ...encode subunits of the chloroplast NAD(P)H dehydrogenase (NDH) complex involved in photosystem I (PSI) cyclic electron transport and chlororespiration. Although the chloroplast NDH is believed to be closely and functionally related to the cyanobacterial NDH-1L complex, extensive proteomic, genetic and bioinformatic studies have discovered many novel subunits that are specific to higher plants. On the basis of extensive mutant characterization, the chloroplast NDH complex is divided into four parts, the A, B, membrane and lumen subcomplexes, of which subunits in the B and lumen subcomplexes are specific to higher plants. These results suggest that the structure of NDH has been drastically altered during the evolution of land plants. Furthermore, chloroplast NDH interacts with multiple copies of PSI to form the unique NDH–PSI supercomplex. Two minor light-harvesting-complex I (LHCI) proteins, Lhca5 and Lhca6, are required for the specific interaction between NDH and PSI. The evolution of chloroplast NDH in land plants may be required for development of the function of NDH to alleviate oxidative stress in chloroplasts. In this review, we summarize recent progress on the subunit composition and structure of the chloroplast NDH complex, as well as the information on some factors involved in its assembly. This article is part of a Special Issue entitled: Regulation of Electron Transport in Chloroplasts.
► Dozens of proteins have been shown to be subunits of the chloroplast NDH complex. ► Chloroplast NDH complex consists of A, B, membrane and lumen subcomplexes. ► Chloroplast NDH interacts with at least two copies of PSI to form the unique NDH–PSI supercomplex via Lhca5 and Lhca6. ► Several factors are required for assembly of the chloroplast NDH complex. ► Drastic alteration occurred not only in the structure but also in the biogenesis of NDH during the evolution from cyanobacteria to higher plants.
Modern business strongly relies on the use of information and communication technologies. So, choosing the right technical equipment is extremely important because the right one influences the timely ...execution of business tasks. Various conflicting criteria impact the decision about equipment selection which justifies the application of Multiple-Criteria Decision-Making (MCDM) as a convenient tool for the optimization of this kind of decision process. This paper proposes the application of the Preference Selection Index (PSI) method to settle the appropriate processing unit (CPU). Five alternative CPUs are compared against four criteria which include: core numbers, virtual cores (threads), operating frequency, and price. The results that came from using the PSI method favor the CPU3 - AMD Ryzen 5 5600 as the most compatible for the end-user in the present case. The obtained results proved the applicability of the PSI method because it facilitated the decision process and define the best solution regarding the given conditions.
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