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With the development of emerging applications such as augmented reality, more and more computing tasks are sensitive to delay. Caching popular task computation results on the mobile edge computing (MEC) server is an effective solution to meet the latency requirements. When multiple users request the same task, if the computation result is cached on the MEC server, it will return the computation result directly to the user to reduce the delay for repeated computation. In this paper, we use the caching to assist the calculation. Non-orthogonal multiple access (NOMA) is used to further reduce the delay for computation offloading. The optimization problem is formulated as how to make caching and offloading decision to minimize the delay of whole system. In the case of unknown popularity, we use Gated Recurrent Unit (GRU) algorithm to predict the task popularity in time-varying system, and place the computing results of tasks with high popularity on the corresponding server. Based on the predicted popularity, a multi-agent Deep-Q-network (MADQN) algorithm is used to solve the caching and offloading problem. The simulation results show that the prediction error of GRU algorithm can be reduced by increasing the learning rate. Meanwhile, the proposed MADQN can effectively reduce the delay compared with other methods.

Background: In October 2023, our hospital confirmed a case of a patient with HIV with concurrent infection with Nocardia brasiliensis. A patient with HIV developed a lump on the surface of the dorsum of his left hand without any obvious cause. He used a nail clipper to trim it. Due to improper disinfection and treatment methods, the condition worsened, and he subsequently sought medical attention at our hospital. A series of clinical laboratory tests were conducted based on the patient's medical history, symptoms, and signs. Based on the test results, a reasonable clinical treatment plan was adopted, ultimately achieving satisfactory treatment outcomes for the patient. Methods: Clinical implementation of pus bacterial culture and identification (matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, MALDI-TOF MS), serum anti HIV detection, and Treponema pallidum antibody detection. Additional related auxiliary examinations: blood routine, liver function, kidney function, CRP, electrolytes. Results: Blood routine and CRP (venous blood): White blood cell count 16.00 x 109/L, total number of lymphocytes 3.73 x 109/L, total monocyte count 1.66 x 109/L, total number of neutrophils 10.37 x 109/L, total number of basophils 0.10 x 109/L, average platelet volume 8.8 fL, whole blood high-sensitivity C-reactive protein 46.44 mg/L, urine routine: protein+-. Liver function test: Albumin 37.7 g/L, aspartate aminotransferase 55.5 U/L, alanine aminotransferase 63.7 U/L, blood lipid test: triglycerides 2.22 mmol/L, high-density lipoprotein cholesterol 0.77 mmol/L, coagulation function test: fibrinogen test 5.69 g/L, lymphocyte subgroup analysis: T4/T8 cell ratio 0.78, total mature T cell count 2.501 x 109/L, T8 cell count 1.351 x 109/L, B cell count 0.574 x 109/L. Serum pathogen test: anti HIV positive, Treponema pallidum antibody 214.70 IU/mL, unheated serum reactive hormone test positive (1:8). Gram staining of pus: a large number of Gram positive bacteria were found, arrange in a branching form, weak acid-fast staining: positive, pus culture and bacteria identified (MALDI-TOF MS): Nocardia brasiliensis. Clinical treatment includes trimethoprim/sulfamethoxazole 800 mg/160 mg po q12 hours, local wet compress with Baiduobang ointment, and abscess incised and drained. Seven days later, the patient had a circular ulcer on the left back without any new pustules. Slightly elevated skin temperature, no tenderness, and no purulent or bloody secretions. His condition had improved and he was discharged. Follow up infectious disease specialist hospitals treat HIV, syphilis, and other related diseases. Conclusions: Patients with HIV are prone to various types of infections, even rare bacteria, as their immune function decreases. At present, there are few reports about a patient with HIV with concurrent infection with Nocardia brasiliensis. This case can provide reference for clinical diagnosis and treatment of related diseases in the future. In addition, with the popularity of new identification methods such as mass spectrometry, laboratories should pay attention to traditional staining methods and use microscopes to detect pathogens. [ABSTRACT FROM AUTHOR]

Background: In November 2023, our hospital confirmed a case of Mycolicibacterium mucogenicum infection in the right back. The patient sought medical attention at our hospital due to "a right back lump for 2 months, ruptured for 1 month." Two months ago, the patient's back collided with a fire hose and developed a local walnut sized lump. The lump was soft, painless when pressed, and there was no obvious redness or swelling around it. The patient went to a private hospital for incision and drainage treatment on their own. One month later, the condition did not improve and there was yellow pus exuding from the incision site. For additional diagnosis and treatment, the patient went to our hospital for treatment. Methods: Back MRI (Magnetic Resonance Imaging) and abdominal ultrasound. Right back abscess incision and drainage surgery, pus pathogen examination: pus bacterial smear, bacterial culture, and identification. Auxiliary examinations: urine routine, blood routine, liver function, kidney function, blood lipids, and blood sugar. Results: Back MR: Abnormal signal shadow of subcutaneous soft tissue in the lower back, suggesting inflammatory lesions with abscess formation. Acid fast staining of pus: positive. Culture and identification of pus bacteria (Matrix-assisted laser desorption ionization time-of-flight mass spectrometry, MALDI-TOF MS): Mycolicibacterium mucogenicum. Clinical treatment plan: Clarithromycin 500 mg bid po+ minocycline 100 mg bid po, abscess incision and drainage, 5-aminolevulinic acid photodynamic therapy (ALA-PDT) qd. After 14 days of treatment, the patient's incision base tissue showed excellent activity, no obvious bleeding or exudation, slight redness and swelling around the wound, and normal skin temperature. The patient improved and was discharged. Conclusions: This article reports a case of Mycolicibacterium mucogenicum infection in the right back. The Mycolicibacterium mucogenicum was quickly and accurately identified by MALDI-TOF MS, and clinical treatment with antibiotics combined with 5-aminolevulinic acid photodynamic therapy (ALA-PDT) was used. The patient improved and was discharged. I hope that in the future, this study can provide assistance for the clinical diagnosis and treatment of Mycolicibacterium mucogenicum. [ABSTRACT FROM AUTHOR]

Cell death has long been a focal point in life sciences research, and recently, scientists have discovered a novel form of cell death induced by copper, termed cuproptosis. This paper aimed to identify genes associated with cuproptosis in Systemic Lupus Erythematosus (SLE) through machine learning, combined with single-cell sequencing (scRNA-seq), to screen and validate related genes. The analytical results were then experimentally verified. Two published microarray gene expression datasets (GSE65391 and GSE61635) from SLE and control peripheral blood samples were downloaded from the GEO database. The GSE65391 dataset was used as the training group, while the GSE61635 dataset served as the validation group. Differentially expressed genes (DEGs) from GSE65391 identified 12 differential genes. Nine diagnostic genes, considered potential biomarkers, were selected using the least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE) analysis. The Receiver Operating Characteristic (ROC) curves for both the training and validation groups were used to calculate the Area Under the Curve (AUC) to assess discriminatory properties. CIBERSORT was used to assess the relationship between these diagnostic genes and a reference set of infiltrating immune cells. Single-cell RNA sequencing data (GSE162577) from SLE patients were also obtained from the GEO database and analyzed. Experimental validation of the most important SLE biomarkers was performed. Twelve significantly different cuproptosis-related genes were identified in the GSE65391 training set. Immune cell analysis revealed 12 immune cell types and identified nine signature genes, including PDHB, GLS, DLAT, LIAS, MTF1, DLST, DLD, LIPT1, and FDX1. In the GSE61635 validation set, seven genes were weakly expressed, and two genes were strongly expressed in the treatment group. According to the ROC curves, PDHB and GLS demonstrated significant diagnostic value. Additionally, correlation analysis was conducted on the nine characteristic genes in relation to immune infiltration. The distribution of key genes in immune cells was determined using single-cell RNA sequencing data. Finally, the mRNA expression of the nine diagnostic genes was validated using qPCR.

Resilient city has attracted global attentions as a new concept for cities to deal with risks and challenges in recent years. Numerous researchers have successively conducted in-depth studies on the resilient city from different perspectives. To acquire an overview of resilient city and grasp the current research hotspots, a bibliometric analysis and visualization of the past decade of research on the resilient city was made. The data were collected from 1249 articles published in the Web of Science database from 2010 to 2019. As the widely used bibliometric analysis tools, CiteSpace and VOSviewer were adopted in this study. The temporal distribution of resilient city research, including annual publication outputs and high-cited papers, was symmetrically analyzed. Then, the spatial distribution of resilient city research, including countries, categories, institutions, co-citation journals, author collaboration network, and author co-citation network, was investigated. Hot topics and evolution trends of resilient city were revealed. The results show that the research of resilient city experienced three periods, namely, germination, rapid diffusion, and reflection and innovation periods. Current research focuses on four aspects, including psychological resilience at the microcommunity and group levels, assessment of urban disaster resilience, multiple theoretical frameworks of urban resilience, and urban resilience promotion strategy. Therefore, this study helps scholars and practitioners to gain a comprehensive understanding of the current research progress and evolution trends of the resilient city field.