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Our results highlight the regional disparities and importance in considering seasonal differences in the estimation of the effect of climate change on labour productivity and occupational heat-stress.Early diagnosis of the harmful severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), along with clinical expertise, allows governments to break the transition chain and flatten the epidemic curve. Although reverse transcription-polymerase chain reaction (RT-PCR) offers quick results, chest X-ray (CXR) imaging is a more reliable method for disease classification and assessment. The rapid spread of the coronavirus disease 2019 (COVID-19) has triggered extensive research towards developing a COVID-19 detection toolkit. Recent studies have confirmed that the deep learning-based approach, such as convolutional neural networks (CNNs), provides an optimized solution for COVID-19 classification; however, they require substantial training data for learning features. Gathering this training data in a short period has been challenging during the pandemic. Therefore, this study proposes a new model of CNN and deep convolutional generative adversarial networks (DCGANs) that classify CXR images into normal, pneumont the proposed DCGAN-CNN approach is a promising solution for efficient COVID-19 diagnosis.Schizophrenia is a brain disease that frequently occurs in young people. Linsitinib Early diagnosis and treatment can reduce family burdens and reduce social costs. There is no objective evaluation index for schizophrenia. In order to improve the classification effect of traditional classification methods on magnetic resonance data, a method of classification of functional magnetic resonance imaging data is proposed in conjunction with the convolutional neural network algorithm. We take functional magnetic resonance imaging (fMRI) data for schizophrenia as an example, to extract effective time series from preprocessed fMRI data, and perform correlation analysis on regions of interest, using transfer learning and VGG16 net, and the functional connection between schizophrenia and healthy controls is classified. Experimental results show that the classification accuracy of fMRI based on VGG16 is up to 84.3%. On the one hand, it can improve the early diagnosis of schizophrenia, and on the other hand, it can solve the classification problem of small samples and high-dimensional data and effectively improve the generalization ability of deep learning models.Semantic mining is always a challenge for big biomedical text data. Ontology has been widely proved and used to extract semantic information. However, the process of ontology-based semantic similarity calculation is so complex that it cannot measure the similarity for big text data. To solve this problem, we propose a parallelized semantic similarity measurement method based on Hadoop MapReduce for big text data. At first, we preprocess and extract the semantic features from documents. Then, we calculate the document semantic similarity based on ontology network structure under MapReduce framework. Finally, based on the generated semantic document similarity, document clusters are generated via clustering algorithms. To validate the effectiveness, we use two kinds of open datasets. The experimental results show that the traditional methods can hardly work for more than ten thousand biomedical documents. The proposed method keeps efficient and accurate for big dataset and is of high parallelism and scalability.

Several discriminating techniques have been proposed to discriminate between

-thalassemia trait (

TT) and iron deficiency anemia (IDA). These discrimination techniques are essential clinically, but they are challenging and typically difficult. This study is the first application of the Bayesian tree-based method for differential diagnosis of

TT from IDA.

This cross-sectional study included 907 patients with ages over 18 years old and a mean (±SD) age of 25 ± 16.1 with either

TT or IDA. Hematological parameters were measured using a Sysmex KX-21 automated hematology analyzer. Bayesian Logit Treed (BLTREED) and Classification and Regression Trees (CART) were implemented to discriminate

TT from IDA based on the hematological parameters.

This study proposes an automatic detection model of beta-thalassemia carriers based on a Bayesian tree-based method. The BLTREED model and CART showed that mean corpuscular volume (MCV) was the main predictor in diagnostic discrimination. According to the test datan. So, the proposed model could support medical decisions in the differential diagnosis of βTT from IDA to avoid much more expensive, time-consuming laboratory tests, especially in countries with limited recourses or poor health services.Dilated cardiomyopathy (DCM) is a cardiomyopathy with left ventricle or double ventricle enlargement and systolic dysfunction. It is an important cause of sudden cardiac death and heart failure and is the leading indication for cardiac transplantation. Major heart diseases like heart muscle damage and valvular problems are diagnosed using cardiac MRI. However, it takes time for cardiologists to measure DCM-related parameters to decide whether patients have this disease. We have presented a method for automatic ventricular segmentation, parameter extraction, and diagnosing DCM. In this paper, left ventricle and right ventricle are segmented by parasternal short-axis cardiac MR image sequence; then, related parameters are extracted in the end-diastole and end-systole of the heart. Machine learning classifiers use extracted parameters as input to predict normal people and patients with DCM, among which Random forest classifier gives the highest accuracy. The results show that the proposed system can be effectively utilized to detect and diagnose DCM automatically. The experimental results suggest the capabilities and advantages of the proposed method to diagnose DCM. A small amount of sample input can generate results comparable to more complex methods.

To observe the clinical effect of Xiaozheng Decoction combined with bladder perfusion with hydroxycamptothecin in the treatment of bladder cancer.

A total of 92 bladder cancer patients admitted to our hospital from January to December 2018 were selected and divided into an observation group and a control group according to the random number table method, with 46 cases in each group. The observation group was given Xiaozheng Decoction combined with bladder perfusion with hydroxycamptothecin, and the control group was given hydroxycamptothecin. The levels of serum-related factors (intercellular adhesion molecule-1 (ICAM-1), E-cadherin, cell adhesion molecules (CAM), fibroblast growth factor (FGF), and vascular endothelial growth factor (VEGF)), white blood cell (WBC) level, immune function indexes, short-term total response rate, and incidence of adverse reactions were compared between the two groups before and after treatment.

After 2 years of postoperative treatment, the levels of ICAM-1, E-cadherin, CAcontrol group (

< 0.01).

The clinical effect of Xiaozheng Decoction combined with hydroxycamptothecin on the treatment of bladder cancer was clear and superior to that of hydroxycamptothecin, which could effectively improve the serological indicators of patients with a low incidence of adverse reactions and prolong the survival cycle of patients. Therefore, it is worthy of promotion and application.

The clinical effect of Xiaozheng Decoction combined with hydroxycamptothecin on the treatment of bladder cancer was clear and superior to that of hydroxycamptothecin, which could effectively improve the serological indicators of patients with a low incidence of adverse reactions and prolong the survival cycle of patients. Therefore, it is worthy of promotion and application.

Chronic heart failure is the main critical illness and cause of death in the later stages of cardiovascular disease, and it is one of the two major challenges in the field of cardiovascular research. The clinical application of traditional Chinese medicine in the prevention and treatment of chronic heart failure has been relatively common in China, and the "Expert Consensus on the Diagnosis and Treatment of Chronic Heart Failure with Integrated Traditional Chinese and Western Medicine" has been published in China. Combining the literature in this field, the authors found that Zhigancao Decoction has been used in the treatment of chronic heart failure with more clinical research reports and higher frequency (this article refers to it as a high-frequency prescription for short). However, Zhigancao Decoction was not included in the recommended prescriptions in the "Expert Consensus on the Diagnosis and Treatment of Chronic Heart Failure with Integrated Traditional Chinese and Western Medicine," and there was n medicine has better therapeutic effects and safety than conventional Western medicine. This shows the characteristics and advantages of integrated Chinese and Western medicine in the treatment of cardiovascular diseases and is worth recommending.

Nephritis or kidney inflammation is characterized as one of the most common renal disorders leading to serious damage to the kidneys. Nephritis, especially lupus nephritis (LN), has remained as the main cause of chronic renal failure which needs serious therapeutic approaches such as dialysis and kidney transplant. Heredity, infection, high blood pressure, inflammatory diseases such as lupus erythematosus and inflammatory bowel disease, and drug-related side effects are known as the main causes of the disease. According to Iranian traditional medicine (ITM), infectious diseases and fever are the main reasons of nephritis, which is called "Varam-e-Kolye" (VK).

There are various plant-based remedies recommended by ITM for the treatment of nephritis, as discussed herein, comparing with those available in the modern medicine. There is no definite cure for the treatment of nephritis, and immunosuppressive drugs such as corticosteroids and nonsteroidal anti-inflammatory drugs, antibiotics, diuretics, analgesics, and finally dialysis and kidney transplantation are usually used. Based on the efficacy of medicinal plants, jujube (

), almond (

), pumpkin seeds (

), purslane (

), and fig (

) were found to be effective for the treatment of kidney inflammation in ITM.

Considering the fact that there is no efficient strategy for the treatment of nephritis, use of herbal medicine, particularly based on the fruits or nuts that have been safely used for several years can be considered as a versatile supplement along with other therapeutic methods.

Considering the fact that there is no efficient strategy for the treatment of nephritis, use of herbal medicine, particularly based on the fruits or nuts that have been safely used for several years can be considered as a versatile supplement along with other therapeutic methods.To investigate the effect and mechanism of QingHuaZhiXie prescription on diarrhea predominant irritable bowel syndrome (D-IBS), animal models of rats were used in this study. 48 rats were randomly divided into 6 groups, containing one control group, one animal model group (D-IBS group), and four drug intervention groups (low, medium, and high dosage of QingHuaZhiXie prescription and trimebutine maleate intervention group). Abdominal withdrawal reflex (AWR) and Bristol stool form scale were recorded; the expression levels of inflammatory factors (TNF-α and IFN-γ), pathway proteins TLR4, MyD88, NF-κB, and key proteins of tight junction between intestinal epithelial cells (IECs) were detected; the microstructure of intestinal mucosal was observed by hematoxylin and eosin (H&E) staining; MPO activity was detected with immunohistochemical analysis to reflect the inflammation of tissues. Results show that QingHuaZhiXie prescription reduced diarrhea index and intestinal hypersensitivity and intestinal tissue integrity after intervention.