Correct Results Research Articles

Surgical treatment of kyphosis in children and adolescents

Correction of apathological kyphosis to restore abalanced, low-pain or pain-free and load-bearing spine. Pronounced sagittal imbalance, progressive kyphosis despite conservative therapy, and neurological deficits are indications for surgery. Further surgical indications are severe therapy-resistant complaints and/or psychologically burdening cosmetic impairment. The guidelines for surgical indications are kyphosis angles of 75-80° thoracic and 30-50° lumbar. No specific, but general contraindications for surgical treatment. Depending on the characteristics of the kyphosis, different surgical techniques are used. Rod-screw systems are mainly used, and surgery is primarily performed by shortening the spinal column from posterior using awide variety of techniques. In individual cases, this can be combined with ventrally mobilizing, resecting, or straightening techniques. The aim of surgical treatment is to achieve aprimarily stable and weight-bearing spine. Regular wound control as well as stabilizing physiotherapy during follow-up are essential. Postoperatively, initially abstaining from sports; later physical activity is encouraged under professional guidance. The literature shows very good corrective results in children and adolescents. The technical procedures are associated with alow and acceptable complication rate. Over the course of time, these patients must be monitored in order to detect possible long-term complications such as junctional kyphosis or pseudarthrosis.

A novel in silico Nuss procedure for pectus excavatum patients

The purpose of this study is to suggest a novel in silico Nuss procedure that can predict the results of chest wall deformity correction. Three-dimensional (3D) geometric and finite element model of the chest wall were built from the 15-year-old male adolescent patient’s computed tomography (CT) image with pectus excavatum of the mild deformity. A simulation of anterior translating the metal bar (T) and a simulation of maintaining equilibrium after 180-degree rotation (RE) were performed respectively. A RE simulation using the chest wall finite element model with intercostal muscles (REM) was also performed. Finally, the quantitative results of each in silico Nuss procedure were compared with those of postoperative patient. Furthermore, various mechanical indicators were compared between simulations. This confirmed that the REM simulation results were most similar to the actual patient’s results. Through two clinical indicators that can be compared with postoperative patient and mechanical indicators, the authors consider that the REM of silico Nuss procedure proposed in this study is best simulated the actual surgery.

A consistent group-theoretic transformation for the block-diagonalization of structural matrices

Symmetry properties of physical systems may be studied through symmetry groups. In recent times, group theory has found application in the study of various problems in structural mechanics, specifically bifurcation, buckling, kinematics and vibration. Computational simplifications are achieved by decomposing the vector space of the problem into smaller subspaces that are independent of each other. When the basis vectors of a subspace are used as the symmetry-adapted variables of that subspace, a smaller problem (associated with a matrix of smaller dimensions) automatically results. However, the same decomposition may be achieved by first obtaining the structural matrix of the system, and then transforming this into a non-overlapping block-diagonal matrix, each independent block being associated with a subspace of the problem. The advantage of this approach is its greater amenability to computer programming, but it does not always give the correct results unless a very specific procedure is followed. The purpose of this contribution is to present a consistent group-theoretic approach for the block diagonalization of structural matrices.

Accurate phase aberration compensation with convolutional neural network PACUnet3+ in digital holographic microscopy

To remove the effects of aberrations on quantitative phase image in digital holographic microscopy, a precise method that based on a data-driven phase aberrations compensations Unet3+ network (PACUnet3+) is presented. Unlike the existing methods that background segmentation should be implemented either in a phase image or in a sample hologram, the presented method doesn't need any preprocessing techniques. The PACUnet3+, which learning mappings between sample holograms and sample free holograms, produces a sample free hologram directly that contains all the background phase aberrations. Similar with double-exposure method, the phase aberrations can be removed by subtracting the background phase encoded in the generated sample-free hologram without any assumptions on the phase aberrations. The high fidelity of the method is demonstrated by measurement of engineered binary phase patterns. In phase aberrations correction, both numerical and experimental results confirmed the accuracy of the proposed method is benchmarking against the traditional double-exposure method.

An Automatic Calibration Method for the Field of View Aberration in a Risley-Prism-Based Image Sensor.

Risley-prism-based image sensors can expand the imaging field of view through beam control. The larger the top angle of the prism, the higher the magnification of the field of view, but at the same time, it aggravates the problem of imaging aberrations, which also puts higher requirements on the aberration correction method for the Risley-prism-based image sensor. To improve the speed, accuracy, and stability of the aberration correction process, an automatic calibration method for the Risley-prism-based image sensor is proposed based on a two-axis turntable. The image datasets of the calibration plate with different prism rotation angles and object distances are acquired using a two-axis turntable. Then, the images of the calibration plate are pre-processed using the bicubic interpolation algorithm. The calibration parameters are finally calculated, and parameter optimization is performed. The experimental results verify the feasibility of this automated calibration method. The reprojection error of the calibration is within 0.26 pixels when the distance of the imaging sensor is 3.6 m from the object, and the fine aberration correction results are observed.

Equation-Directed Axiomatization of Lustre Semantics to Enable Optimized Code Validation

Model-based design tools like SCADE Suite and Simulink are often used to design safety-critical embedded software. Consequently, generating correct code from such models is crucial. We tackle this challenge on Lustre, a dataflow synchronous language that embodies the concepts that base such tools. Instead of proving correct a whole code generator, we turn an existing compiler into a certifying compiler from Lustre to C, following a translation validation approach. We propose a solution that generates both C code and an attached specification expressing a correctness result for the generated and optionally optimized code. The specification yields proof obligations that are discharged by external solvers through the Frama-C platform.

Congenital Cervical Scoliosis Treated with Concave Side Distraction with Three-Dimensional Printed Titanium Cage.

Single-center, retrospective study. Hemivertebra resection is the only treatment option for congenital cervical scoliosis (CCS). However, this procedure is complex and technically demanding. It often requires a considerably long operation, and there is substantial intraoperative bleeding. Therefore, we have attempted to treat CCS with a concave side distraction comprising a three-dimensional (3D) printed titanium cage. The purpose of this study is to evaluate the safety and efficacy of this technique for the treatment of patients with CCS. A series of 22 patients with CCS who underwent a concave side distraction technique between 2019 and 2021 were retrospectively reviewed and analyzed. Radiological measurements included the Cobb angle of the distraction segments, the kyphosis angle, the range of movement, and the distraction correction angle. Student's t-test and Spearman correlation analysis were used for statistical analysis. p < 0.05 was considered statistically significant. The study included 12 males and 10 females whose ages ranged from 6 to 14 years old (9.8 ± 2.1 years old). Follow-up times ranged from 15 to 30 months (25.8 ± 3.6 months). Among 22 patients, two patients developed a postoperative C5 nerve root palsy and recovered after being treated with conservative treatment for 6 months. The duration of surgery ranged from 229 to 756 min (389 ± 112 min), and the estimated volume of blood loss ranged from 100 to 600mL (235 ± 121 mL). The coronal Cobb angle (p < 0.001), kyphosis angle (p < 0.05), and range of movement (p < 0.001) between the last follow-up and preoperative period were significantly different. A total of 28 segments were distracted, and the Cobb angle of the distraction segment ranged from 2.4 to 14.1° (8.5 ± 3.0°). There were six upper cervical spines (8.9 ± 1.9°) and 22 lower cervical spines (8.4 ± 3.2°) with no significant difference between them (p = 0.130). In addition, there was no correlation between the angle of the concave side distraction and patients' age (r = 0.018, p = 0.315). The fusion was solid between the bone and the customized 3D-printed pore metal cage at the final follow-up. The concave side distraction comprisinga customized 3D-printed titanium cage implantation can provide satisfactory correction results and is a safe and reliable procedure for treating CCS.

V2C-based lithium batteries: The influence of magnetic phase and Hubbard interaction

MXenes are a family of two-dimensional materials that could be attractive for use as electrodes in lithium batteries due to their high specific capacity. For this purpose, it is necessary to evaluate magnitudes such as the lithium adsorption energy and the magnitude of the open-circuit voltage for different lithium concentrations. In this paper, we show through first-principles calculations that in a V2C monolayer, we must consider the high correlation between the electrons belonging to vanadium to obtain correct results of these quantities. We include this correlation employing the Hubbard coupling parameter obtained by a linear response method. We found that the system is antiferromagnetic and that the quantities studied depend on the magnetic phase considered. Indirectly, experimental results could validate the theoretical value of the Hubbard parameter.

On the Reliability of Automated Analysis of Fracture Surfaces Using a Novel Computer Vision‐Based Tool

Fracture surface analysis is of utmost importance with respect to structural integrity of metallic materials. This especially holds true for additively manufactured materials. Despite an increasing trend of automatization of testing methods, the analysis and classification of fatigue fracture surface images is commonly done manually by experts. Although this leads to correct results in most cases, it has several disadvantages, e.g., the need of a huge knowledge base to interpret images correctly. In present work, an unsupervised tool for analysis of overview images of fatigue fracture surface images is developed to support nonexperienced users to identify the origin of the fracture. The tool is developed using fracture surface images of additively manufactured Ti6Al4V specimens fatigued in the high‐cycle‐fatigue regime and is based on the identification of river marks. Several recording parameters seem to have no significant influence on the results as long as preprocessing settings are adapted. Moreover, it is possible to analyze images of other materials with the tool as long as the fracture surfaces contain river marks. However, special features like multiple origins or origins located in direct vicinity to the surface, e.g., caused by increased plastic strains, require a further tool development or alternative approaches.

Detailed asteroseismic modelling of RR Lyrae stars with non-radial modes

ABSTRACT Photometric observations from the last decade have revealed additional low-amplitude periodicities in many classical pulsators that are likely due to pulsations in non-radial modes. One group of multimode RR Lyrae stars, the so-called 0.61 stars, is particularly interesting. In these stars, the radial first overtone is accompanied by additional signals with period ratios around 0.61. The most promising explanation for these signals is pulsation in non-radial modes of degrees 8 and 9. If the theory behind the additional signals in the 0.61 stars is substantiated, it would allow us to use non-radial modes to study classical pulsators. We aim to perform asteroseismic modelling of selected 0.61 stars with independently determined physical parameters to test whether this assumption behind the modelling leads to correct results. Namely, we test whether the additional signals are indeed due to non-radial modes of the proposed moderate degrees. We selected a number of RR Lyrae stars that are also 0.61 stars and have good observational constraints on their other physical parameters. We assume that the nature of those modes is correctly explained with non-radial modes of degrees 8 or 9. Using this assumption and observational constraints on physical parameters, we performed asteroseismic modelling to test whether the observed periods and period ratios can be reproduced. For the majority of selected targets, we obtained a good match between observed and calculated periods and period ratios. For a few targets however, the results obtained are ambiguous and not straightforward to interpret.

Pelvic veins ultrasound changes after surgical correction in patients with pelvic congestion syndrome

Pelvic congestion syndrome is a form of varicose disease, which is considered to be one of the main causes of chronic pelvic pain in women, which is associated with a violation of pelvic veins hemodynamics. Pelvic venous disorders are invisible to clinicians due to the lack of pathognomonic symptoms and manual disease criteria, but it has significant consequences. Today, one of the main diagnostic methods of pelvic venous disorders is a transvaginal US of pelvic veins, including gonadal veins (ovarian veins in women). Thanks to this non-invasive and simple diagnostic method that does not require specific preparation and has no contraindications, we have significant opportunities in diagnosis, as well as in the further evaluation of the postoperative results of surgical correction of pelvic congestion syndrome. The aim of the study was to analyze changes of pelvic veins in patients with pelvic congestion syndrome before and after surgical intervention using the transvaginal US method. Materials and methods. The study included 35 patients which underwent surgical treatment using open surgery and endovascular procedure between April 2019 and February 2022 with pelvic congestion syndrome. All patients underwent transvaginal ultrasound of the pelvic veins before surgery. A control examination was performed after surgical treatment in 4–6 months. The examination was performed on an expert-class ultrasound system “Toshiba Aplio 500” using all international standards for transvaginal examination of pelvic veins to evaluate the changes of illiac, paraovarian, parametrial and ovarian veins from the left side and from the right side in patients with pelvic venous disorders. Conclusions. Transvaginal ultrasound of the pelvic veins can be considered one of the key diagnostic methods, with the help of which it is possible to investigate and evaluate hemodynamic disorders in the veins of the pelvis and pelvic organs in real time. Also, this method can be considered optimal for the control examination of patients who underwent surgical correction of pelvic congestion syndrome.

Optimal Cable Force Adjustment for Long-Span Concrete-Filled Steel Tube Arch Bridges: Real-Time Correction and Reliable Results

For complex structures, the existing optimization method for suspender cable forces involves extensive matrix operations during the solution process, requiring high computational power and time. As a result, obtaining a more accurate solution becomes challenging. To address this issue and improve the stress distribution of suspenders in the completed state, while minimizing the need for frequent cable force adjustments and grid beam elevation changes during construction, a novel method for cable force optimization is proposed. In this study, the Pingnan Third Bridge, which is the world’s longest large span arch bridge with a span of 575 m, is taken as the engineering background. This study combines finite element analysis and multi-objective optimization methods to develop a cable force optimization approach for real-time correction during the panel girder lifting of long-span concrete-filled steel tube (CFST) arch bridges. The optimization method involves treating the panel girder weight and displacement during construction as parameter variables, and considering the displacement and unevenness of the panel girder in the completed state as constraint conditions. The objective equation is defined based on the displacement and cable force during the lifting construction process and, through optimization, the cable forces and displacements of each lifting section are calculated. The results demonstrate the feasibility of integrating optimization theory into the cable force optimization process during panel girder lifting. In this study, we have taken into account the characteristics of real-world engineering and focused on specific key points to reduce the order of the influence matrix. Consequently, the computational costs are reduced, facilitating the development of a multi-objective tension optimization program. By minimizing segment displacement variations and ensuring even cable force distribution in the completed state, the method ensures that the bridge meets the required completion requirements without the need for repetitive iterations or cumbersome calculations. It provides higher optimization efficiency and superior outcomes, offering significant value for cable force calculations during suspender construction of similar bridge types and guiding construction processes.

Physical Medicine and Rehabilitation Management in Pediatric Patient with Postural (Positional) Clubfoot: A Case Report

Abstract: Clubfoot, talipes equinovarus, is a common term used to describe several kinds of ankle or foot deformities present at birth. This condition is one of the most treatable birth defects, often leading to normal or near-normal athletic activities later in life. We reported a patient with positional clubfoot treated with serial casting, passive manipulation, and stimulation. Male, 6 days old, lived in Sonder, with a chief complaint of right foot that bent inward since birth. Patient was consulted by pediatrician to physiatrist since the birth day. The bent inward foot was not accompanied by swelling and redness, and patient was seen calm when the foot being moved. Patient was treated by physiatrist with passive manipulation, four times weekly with serial casting, and everyday stimulation for feet. During treatment session, patient’s deformity was getting improved. After treatment, the deformity was corrected and patient’s foot was in normal position without any complication. The aim of medical rehabilitation of clubfoot was to reduce the deformity with the success criteria that foot could be functional, free of pain, good mobility, and did not require correction shoes, therefore, the patient could carry out normal activities after growing up. In conclusion, to produce the maximum correction results, good cooperation is required with the patient’s parents. Even though correction is optimal and done as soon as possible, if bone growth has not stopped, the clubfoot problem can reappear. The first element of management is correction of the cavus deformity by positioning the forefoot in proper alignment with the hindfoot. Keywords: postural clubfoot; physical medicine and rehabilitation; children; passive manipulation; serial casting; everyday stimulation for feet

Impact of Company Income Tax Revenue on Economic Growth of selected West African States (an application of the Dynamic Panel ARDL)

The study seeks to investigate the impact of company income tax on economic growth in selected 15 West African countries using the panel ARDL from 2002-2021. Based on the outcome of the hausman test, the study chose the Pooled Mean Group (PMG) because the probability Value is greater than 5% level of significance. PMG estimator assumes only ' are same across group that is, only the long run estimators are the same or homogenous and short run estimators varies. The data are found to be stationary at first difference. And the correction result shows that there is no problem of multicollinearity. The study found out that there is a long run relationship between company income tax and economic growth. The ECT coefficient is negative for Nigeria, Ghana, and Sierra Leone, indicating that these countries converge to their long-run equilibrium at a rate of 0.9%, 95.2%, and 39.4%, respectively, per period. the short-run impact of various variables on the dependent variable for Group B countries, namely Senegal, Burkina Faso, Guinea Bissau, Guinea, and Cote d'Ivoire. The model appears to include a lagged dependent variable (ECT) as well as a set of explanatory variables including D.CIT, D.FDI, D.POP, D.FID, and D.TOP. with negative coefficient indicating that these countries converge to their long-run equilibrium. And same with group C. In conclusion, the impact of company income tax revenue on economic growth in selected West African states, as examined through the panel ARDL framework from 2002 to 2021, has been found to be significant. The study reveals that there is a positive and statistically significant relationship between company income tax revenue and economic growth in the selected West African countries. The study also found evidence of short-run dynamics and long-run equilibrium in the relationship between the two variables. This suggests that an increase in company income tax revenue can have a positive impact on the economic growth of these nations. The study recommended that, policymakers in selected West African states should adopt a multi-pronged approach that focuses on increasing company income tax revenue, promoting trade openness, attracting foreign direct investment, and improving human capital development. By doing this, they can ensure sustained economic growth and development in their countries.

Investigation of Limitations in the Detection of Antibody + Antigen Complexes Using the Silicon-on-Insulator Field-Effect Transistor Biosensor.

The SOI-FET biosensor (silicon-on-insulator field-effect transistor) for virus detection is a promising device in the fields of medicine, virology, biotechnology, and the environment. However, the applications of modern biosensors face numerous problems and require improvement. Some of these problems can be attributed to sensor design, while others can be attributed to technological limitations. The aim of this work is to conduct a theoretical investigation of the "antibody + antigen" complex (AB + AG) detection processes of a SOI-FET biosensor, which may also solve some of the aforementioned problems. Our investigation concentrates on the analysis of the probability of AB + AG complex detection and evaluation. Poisson probability density distribution was used to estimate the probability of the adsorption of the target molecules on the biosensor's surface and, consequently, to obtain correct detection results. Many implicit and unexpected causes of error detection have been identified for AB + AG complexes using SOI-FET biosensors. We showed that accuracy and time of detection depend on the number of SOI-FET biosensors on a crystal.

Results of Surgical Correction of Fixed Flexion Deformity during Total Knee Arthroplasty in Patient of Knee Osteoarthritis: A Comprehensive Review

Results of Surgical Correction of Fixed Flexion Deformity during Total Knee Arthroplasty in Patient of Knee Osteoarthritis: A Comprehensive Review

Evaluation and Benefit of Imprecise Value Prediction for Certain Types of Instructions

Based on branch prediction, value prediction has emerged as a solution for problems caused by true data dependencies in pipelined processors. While branch predictors have binary outcomes (taken/not taken), value predictors face a challenging task as their outcomes can take any value. Because of that, coverage is reduced to enhance high accuracy and minimise costly recovery from misprediction. This paper evaluates value prediction, focusing on instruction execution with imprecisely predicted operands whose result can still be correct. Two analytical models are introduced to represent instruction execution with value prediction. One model focuses on correctly predicted operands, while the other allows for imprecisely predicted operands as long as the instruction results remain correct. A trace-driven simulator was developed for simulation purposes, implementing well-known predictors and some of the predictors presented at the latest Championship Value Prediction. The gem5 simulator was upgraded to generate program traces of SPEC and EEMBC benchmarks that were used in simulations. Based on the simulation result, proposed analytical models were compared to reveal the conditions under which a model with imprecisely predicted operands, but still correct results, achieved better execution time than a model with correctly predicted operands. Analysis revealed that the accuracy of the correct instruction result based on the predicted operand, even when the predicted operand is imprecise, is higher than the accuracy of the correctly predicted operand. The accuracy improvement ranges from 0.8% to 44%, depending on the specific predictor used.

A novel Group Decision Making method with the prediction selection rate

Methods on the basis of the consensus reaching process are prevalent in Group Decision Making (GDM), which typically forces some evaluators to revise initial opinions in order to reach group consensus without being able to precisely reflect original viewpoints. Furthermore, in case the correct opinion is embedded in the hand of the minority, existing methods may not reach the correct consensus. With the aim to tackle these observations, a novel approach of the Positive and Negative Prediction Selection Rate (PNPSR) is proposed on the basis of the Pythagorean Fuzzy Preference Relation (PFPR) which enables to present individuals’ opinions in a pairwise manner using the linguistic preference relation. The PFPR expressed opinions then serve as input for the computation of the proposed PNPSR, the minimum of which is subsequently selected as the correct one. Finally, the full ranking of the alternatives can be calculated through the proposed iterative algorithm. In the process, the evaluators’ original opinions are not required to modify, and the correct result can be achieved when the minority evaluators provide the correct opinions. Experimental results demonstrate the efficacy of the proposed approach in comparison with two state-of-the-art methods.

Scaling behaviour of corrugated sandwich panels under impact load

The majority of the experimental studies investigating the dynamic response of sandwich panels are conducted using small-scale models that cannot be applied directly in the marine industry. In this study, a velocity–stress–mass (VSG) method based on the Johnson–Cook equation (VSG–JC) is derived to determine the relationship between a full-size structure (prototype) and its scaled-down model. The developed methodology is verified using theoretical and numerical solutions for an impact-loaded beam and plate, respectively. Theoretically, the model response can explicitly predict the behavior of a full-size structure using the VSG–JC method, whereas the strain rate cannot be obtained precisely via numerical simulation; hence, the corrected results for the model deviate slightly from the prototype results. Additionally, this method is compared with the VSG method based on the Cowper–Symonds equation (VSG–CS) in the numerical simulation of sandwich panels. The comparison results indicates that the VSG–JC method is more accurate than the VSG–CS method. The dynamic response of the scaled models predicted using the VSG–JC method coincides with that of the prototype, thus demonstrating that the VSG–JC method is valid for evaluating the scaling behavior of sandwich structures subjected to impact loads.

Japanese Braille Translation Using Deep Learning - Conversion from Phonetic Characters (Kana) to Homonymic Characters (Kanji).

A blind student writes and submits reports in Braille word processor, which is difficult for teachers to read. This study's purpose is to make a translator from Braille into mixed Kana-Kanji sentences for such teachers. Because Kanji has homonyms, it is not always possible to get correct results when converting. To overcome this difficulty, we used deep learning for translation. We built a training dataset composed from 15,000 pairs of Braille codes and mixed Kana-Kanji sentences, and a validation dataset. In training, we got an accuracy of 0.906 and a good Bleu score of 0.600. In validation, we found 5 mistaken words in selecting homonymous Kanji by examining translation mistakes from 100 pairs of the verification sentences. The choice of homonymous Kanji depends on the context. For decreasing such type of errors, it is necessary to introduce of translation of paragraphs by increasing the scale of the network model in deep learning, and to expand the network structure.