Article of the Year 2021
Hydrodynamic Analysis for the Morphing Median Fins of Tuna during Yaw MotionsRead the full article
Applied Bionics and Biomechanics publishes original research articles as well as review articles that seek to understand the mechanics of biological systems, or that use the functions of living organisms as inspiration for the design of new devices.
Chief Editor, Professor Qiguo Rong, is the Vice Chair of the Department of Mechanics and Engineering Science at Peking University, China. His research focuses on the biomechanical behaviors of musculoskeletal systems.
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Electrophysiological Characteristics of Cervical Spinal Stenosis
Objective. To investigate electrophysiological characteristics of patients with cervical spinal stenosis (CSS) due to cervical disc herniation. Methods. A total of 51 patients with CSS diagnosed in our hospital from January 2018 to March 2020 were selected. According to magnetic resonance imaging (MRI), the degree of spinal cord compression was divided into 1-3 grades, namely, group A (MRI grade 1), group B (MRI grade 2), and group C (MRI grade 3), with 17 cases in each group. Subsequently, we analyzed the correlation of the degree of spinal cord compression with the general information, clinical data, and electromyography (EMG) of patients. Results. Compared with group A and group B, group C had the longest disease course [() months], the lowest JOA score (), and the highest number of positive results of EMG (EMG: A/B/C, 25/51/77); there were significant differences among the 3 groups. And group C had the higher number of positive cases of both upper and lower limbs in SEP test compared with the other two groups (SEP: A/B/C: 12/18/29: , ). According to correlation analysis, MRI grading had no association with gender, age, and spinal canal diameter/volume but was positively correlated with disease course and negatively correlated with JOA score. Conclusion. This study primarily verifies that higher MRI grade of CSS is associated with longer disease duration and lower JOA score and EMG. The obtained results secondarily demonstrate the correlation between abnormal neurological status and the MRI grade.
Novel Design and Optimization of Porous Titanium Structure for Mandibular Reconstruction
A porous material is considered to be a potential material that can be used to repair bone defects. However, the methods of designing of a highly porous structure within the allowable stress range remain to be researched. Therefore, this study was aimed at presenting a method for generating a three-dimensional tetrahedral porous structure characterized by low peak stress and high porosity for the reconstruction of mandibular defects. Firstly, the initial tetrahedral porous structure was fabricated with the strut diameters set to 0.4 mm and a mean cell size of 2.4 mm in the design model space. Following this, the simulation analysis was carried out. Further, a homogenization algorithm was used for homogenizing the stress distribution, increasing porosity, and controlling peak stress of the porous structure by adjusting the strut diameters. The results showed that compared with the initial porous structure, the position of the large stress regions remained unchanged, and the peak stress fluctuated slightly in the mandible and fixation system with the optimized porous structure under two occlusions. The optimized porous structure had a higher porosity and more uniform stress distribution, and the maximum stress was lower than the target stress value. The design and optimization technique of the porous structure presented in this paper can be used to control peak stress, improve porosity, and fabricate a lightweight scaffold, which provides a potential solution for mandibular reconstruction.
Value of Biochemical Indexes of Bone Metabolism in Predicting Osteoporotic Lumbar Fractures
Objective. To investigate the value of bone metabolism indexes such as type I procollagen N-terminal propeptide (P1NP), 25-hydroxyvitamin D (25(OH)D), osteocalcin (OSTEOC), and parathyroid hormone (PTH) in predicting osteoporotic lumbar fractures. Methods. 120 female patients with osteoporosis treated in our hospital were selected as research objects. There were 76 cases in the fracture group and 44 cases in the nonfracture group. The relationship between the levels of P1NP, 25(OH)D, OSTEOC, and PTH and the incidence of osteoporotic lumbar fractures were detected and compared between the two groups. The predictive value of biochemical indexes of bone metabolism in patients with osteoporosis was analyzed by ROC curve. Results. The levels of P1NP and PTH in the fracture group were significantly higher than those in the nonfracture group, while 25(OH)D and OSTEOC levels were lower than those in the nonfracture group. Moreover, the levels of P1NP, 25(OH)D, OSTEOC, and PTH are important factors affecting the pathogenesis of osteoporosis. The area under the curve (AUC) of fracture in patients with osteoporosis predicted by the combination of P1NP, 25(OH)D, OSTEOC, and PTH levels was 0.886, which was greater than the AUC predicted by each index (0.796, 0.753, 0.670, and 0.824). The best sensitivity and specificity of comprehensive prediction of each index were 78.95% and 79.10%, respectively. Conclusion. The abnormal changes of P1NP, 25(OH)D, OSTEOC, and PTH in female patients with osteoporotic lumbar fracture are closely related to the occurrence of the disease. The combination of these indicators has relatively significant application value in predicting the occurrence of fracture, which is helpful to formulate and guide relevant preventive measures for female patients with osteoporotic lumbar fracture and improve the prognosis.
Pattern and In-Hospital Mortality of Thoracoabdominal Injuries Associated with Motor Vehicle Accident-Related Head Injury: a Single-Center Retrospective Study
Aim. To determine the pattern and in-hospital mortality of thoracoabdominal injuries associated with head injuries (HI) due to motor vehicle accidents. Settings and Design. A single-center retrospective study in a tertiary care hospital, level 1 trauma center in the southern region of Saudi Arabia. Methods and Materials. Descriptive analysis was conducted to evaluate sex, age, types of head injury, associated thoracoabdominal injuries, particular admission day, duration of hospital stay, and discharge category, and associations between different variables and outcomes were analyzed. Results. The cohort had a mean age of , with a predominance of men (86.9%). Thoracoabdominal injuries were present in 6.8% of MVA-related HI, and 14.3% of victims expired during their hospital stay, mostly within the first 10 days. All expired patients had posttraumatic brain lesions. Moreover, there was a significant association between intensive care unit (ICU) admission and poor prognosis. Conclusions. Existence of posttraumatic brain lesions and requirement of ICU admission are significant variables affecting outcomes in patients with motor vehicle-associated HI with concomitant thoracoabdominal trauma in this study. Patients who survived the first 10 days after trauma seemed to have a better prognosis. More efforts are needed to reduce the health burden of this lethal injury.
Event Scene Method of Legal Domain Knowledge Map Based on Neural Network Hybrid Model
Event extraction technology is one of the important researches in the field of information extraction, which helps people accurately retrieve, find, classify, and summarize effective information from a large amount of information streams. This paper uses the neural network hybrid model to identify the trigger words and event categories of the legal domain knowledge graph events, extracts the events of interest from a large amount of free text, and displays them in a structured format. First, the original text is preprocessed, and then, the distributed semantic word vector is combined with the dependent syntactic structure and location attributes to create a semantic representation in the form of a vector. The combined deep learning model is used to extract activated words, the long-term memory loop neural network uses temporal semantics to extract deep features, and the convergent neural network completes the extraction of activated words and event categories. Finally, the experimental results show that the accuracy of event extraction of the neural network hybrid model designed in this paper has reached 77.1%, and the recall rate has reached 76.8%, which is greatly improved compared with the traditional model.
Construction of Nursing Practice Model in Case Management of Concurrent Chemotherapy and Radiochemotherapy Treatment in Cervical Cancer
Objective. To construct a case management model of synchronous radiotherapy and concurrent chemotherapy and radiochemotherapy (CRR) for cervical cancer led by nurses and carry out preliminary implementation and evaluation, so as to explore a new model of nursing practice. Methods. Totally 80 cervical cancer patients were included in this study, 43 patients were in the experimental group, and 37 patients were in the control group. The clinical data, side effects, psychological reactions, and nutritional indexes were collected before and after the intervention. Results. The results of Hospital Anxiety and Depression Scale (HADs) showed that anxiety and depression scores decreased after intervention in the experimental group, and the difference between two groups had significant after intervention (). Serum fatty acids, albumin, and cholesterol in the experimental group were decreased after the intervention. Moreover, the incidence of radiation vaginitis and radiation dermatitis had significant differences between the two groups (). Conclusion. The case management nursing practice mode of concurrent radiotherapy and chemotherapy for cervical cancer can effectively promote the self-management of risk factors, reduce the occurrence of complications, and improve the ability of self-care.