Computer and Mathematical Modeling: Translational Research and Economics in Clinical Diagnostics

The computer and modeling approach has begun to be used extensively in clinical intelligence diagnosis, we have refined the necessary techniques related to intelligence medicine, and we have performed economics-directional analysis of models and structures of artificial intelligence in the translational medicine sense.At the same time, the development of clinical diagnostic techniques is also the result of constant innovation, and we propose the necessary strategy for a cross-disciplinary approach to clinical diagnostics and computer and mathematical modeling, with the authors reporting in conjunction with the results of the study

From the Perspective of Robotic Research and Development in Medicine: Analysis of Principles for the Application of Circulating Neural Networks and the Design of Economic Products in Biomedical Medicine

The circulatory neural network is an important component part of the artificial neural network and can be integrated into biomedical engineering for disease warning in current frontier research. In the current market economy, women's sexual pleasures can be designed using the circulatory neural network as a core biomedical engineering device. We performed technical analysis, expound the principles of neuroscience, and report and analyze them

Effect of Nano-clay Filler on the Thermal Breakdown Mechanism and Lifespan of Polypropylene Film under AC Fields

The wide application of nanocomposites in the insulation system has greatly contributed to the performance improvement of power equipment. However, nano fillers are not omnipotent for improving the properties of composite dielectrics. In some situations, nano-modified materials are in fact a compromise of improving some performance features while sacrificing others. In this work, the breakdown characteristics and time-to-failure of polypropylene film with nano-clay fillers have been evaluated under combined thermal stress and AC electric fields. Experiments on plain polypropylene (PP) samples have also been carried out under the same test conditions as control. Test results indicated that the time-to-failure of the samples with nano-clay filler was shorter than those without nano filler, which is different from the previous experience. SEM and EDS analyses were conducted to study how the failure mechanism had taken place in both plain polypropylene and the nano-clay filled polypropylene. The failure phenomenon in these materials can be explained by molecular thermodynamics. The main reason for the premature thermal breakdown of PP nanocomposite is essentially due to the weak coupling between nano-clay filler and polymer matrix. Finally, suggestions are proposed for nano modification methods and lifespan prediction models of composite dielectrics

Exploring the Effectiveness of Hatha Yoga as a Complementary Treatment for Adolescent Idiopathic Scoliosis: Clinical Effect and Future Research Directions

Adolescent idiopathic scoliosis (AIS) is a common spinal deformity that primarily affects adolescents during the key period of growth and development. While traditional treatment methods often involve bracing or surgery, Hatha yoga, a millennia-old practice rooted in Indian tradition, has emerged as a complementary option for AIS cases. This paper explores the potential benefits of Hatha yoga for adolescents with AIS. It also discusses the limitations of existing research, such as the lack of large-scale randomized controlled trials (RCTs), varying yoga protocols, and challenges in blinding participants and researchers. To address these limitations, I propose future research directions, including conducting large-scale RCTs, long-term follow-up studies, standardized yoga protocols, and assessing safety concerns. I also highlight the need for tailored interventions and comparative effectiveness studies to better understand the potential of Hatha yoga in the holistic treatment of AIS in adolescents

Research of specific field ultra-short text classification based on collaborative filtering algorithm

In some specific fields, there are a lot of ultra-short texts that need to be categorized. This paper proposes an ultra-short text classification method based on collaborative filtering algorithm aiming at the problems such as short text content, short length, sparse features, and large number of categories in certain fields. First, converting ultra-short text into word frequency vector by doing Chinese word segmentation and calculating word frequency; Secondly, combining relevant data in specific fields, defining the ultra-short texts as users, categories as items, and then constructing a user-item recommendation matrix. Finally, calculating text similarity by using cosine similarity method and obtaining the classification results. The experimental results show that the proposed method can well solve the problem of classification of ultra-short texts in specific fields, and the average accuracy is 9.19% and 3.81% higher than vector space model and topic similarity method respectively

The Tenth Visual Object Tracking VOT2022 Challenge Results

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