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• Treatment includes TCM, hormone and immunosuppressive combination therapy. • Improvement of lower extremity skin ulcers in cutaneous polyarteritis nodosa. • Provided a therapeutic idea that TCM can effectively reduce the side effects of hormones in delaying wound healing. Cutaneous polyarteritis nodosa (cPAN) is a systemic disease that is limited to the skin. cPAN usually presents with cutaneous reticular cyanotic, erythematous and palpable nodules, and cutaneous ulcers.Research has indicated that the use of hormones and immunosuppressive drugs can delay ulcer healing and associated neuropathy, and also elevate the risk of disease recurrence upon their reduction or withdrawal. Therefore, it is a necessary to find a safe and effective approach that minimize hormone side effects in ulcer treatment. The patient, a 48-year-old female of Han Chinese ethnicity, has suffered from recurrent erythema nodosum on both lower limbs for 8 years. The condition was aggravated by skin breakdown over the last 3 months. Despite multiple treatments, the patient's condition did not improve significantly, leading to the exploration of a combined approach of traditional Chinese and Western medicine. Following six months of combined traditional Chinese and Western medicine treatment, t the patient's newborn erythema and ulcers on both lower limbs did not reappear, and the ulcers gradually decreased in size and the erythema disappeared. The patient took the TCM regularly until April 15, 2023, when the ulcers were completely healed. Three months after the patient stopped taking TCM, the ulcers had completely healed with no recurrence, as observed during the follow-up visit on July 14th, 2023. Traditional Chinese Medicine Combined with Low-Dose Hormones May Effectively Treat Bilateral Lower Extremity Skin Ulcers Caused by Cutaneous Polyarteritis Nodosa. [ABSTRACT FROM AUTHOR]

The 15%-27% of patients with locally advanced rectal cancer (LARC) achieved pathologic complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) and could avoid proctectomy. We aimed to investigate the effectiveness of treatment response prediction using MRI-based pre-, post-, and delta-radiomic features for LARC patients treated with nCRT and to compare these radiomic models with radiologists' visual assessment. A total of 126 patients with LARC who received nCRT before surgery were included and randomly divided into a training set (n = 84) and a validation set (n = 42). 250 radiomic features were extracted from T2-weighted images from pre- and post-nCRT MRI. Pearson correlation analysis and AONVA or Relief were used to identify radiomic descriptors associated with pCR. Five machine-learning classifiers were compared to construct radiomic models. The radiomic nomogram was built via multivariate logistic regression analysis. Two senior radiologists independently rated tumor regression grades and compared with radiomic models. Area under the curve (AUC) of the models and pooled observers were compared by using the DeLong test. The optimal pre-, post-, and delta-radiomic models yielded an AUC of 0.717 (95% CI: 0.639-0.795), 0.805 (95%CI: 0.736-0.874), and 0.724 (95%CI: 0.648-0.800), respectively. The radiomic nomogram based on pre-nCRT cN stage, pre–nCRT radscore, and post-nCRT radscore achieved an AUC of 0.852 (95%CI: 0.774-0.930), which was higher than the single radiomic models and pooled readers (all p < 0.05). The radiomic nomogram is an effective and invasive tool to predict pCR in LARC patients after nCRT, which outperforms radiologists. [ABSTRACT FROM AUTHOR]

• The evolution of EIS of zinc-rich coatings is explained in detail. • The corrosion product layer causes the shielding effect of zinc-rich coatings. • Semi-logarithmic relationships suggest that t1/2 axis is useful for impedance studies. • Linear correlations help in designing equivalent circuits (EE). • Linear correlations help in elucidating the physical meaning of EE components. This paper focuses on elucidating the variation rules of equivalent circuit elements of electrochemical impedance spectra (EIS) of two different thicknesses of epoxy zinc-rich coatings (EZRCs) and silicate ethyl zinc-rich coatings (ZRCs). The correlation between the circuit elements and the low-frequency impedance modulus (|Z| 0.01 Hz) and the open-circuit potential (OCP) is investigated, and an explanation of the barrier effect and the evolution law of corrosion potential (E corr) is given. The results show that there is a linear or piecewise linear relationship between the logarithm of |Z| 0.01 Hz and the circuit elements with a square root of time (t1/2), and the piecewise linear relationship between the OCP and t1/2. Further, there is a large amount of linear correlation between circuit elements. The semi-logarithmic linear relationship suggests that the square root axis can be a conventional choice for coating impedance studies. Linear correlations help in designing equivalent circuits and elucidating the physical significance of components in equivalent circuits. The barrier effect of ZRCs mainly refers to the blocking effect of the corrosion product layer on the outer surface of the coating. The barrier effect of ZRCs can be neglected. Designing equivalent circuits: location of circuit elements and current assignments, fitting accuracy, trends in model parameters, linear correlation of elements. [Display omitted] [ABSTRACT FROM AUTHOR]

As the demand for Internet services continues to rise, large-scale Internet companies have expanded their data center infrastructure across multiple global regions. The inherent spatial-temporal flexibility in scheduling workloads allows data center clusters to dynamically adjust their power consumption without overloading the transmission network. In this work, we introduce a novel approach for treating a geo-distributed data center cluster as a non-wire alternative resource and explore its potential role in the energy balancing market. Our methodology manages a geographically distributed data center cluster as a balance-responsible entity by employing optimal workload scheduling that considers its inherent spatial-temporal flexibility and market arbitrage opportunities. To achieve this, we develop a two-layer stochastic receding horizon control optimization algorithm to formulate a strategic bidding strategy for the data center cluster. To validate the effectiveness of our proposed approach, we conduct numerical experiments using real-world data center production traces and data from the Nordic balancing market, demonstrating its practical applicability and performance. • Explored spatial-temporal flexibility of data center cluster as non-wire alternative. • Applied a two-layer SRHC algorithm for online biddings and workload schedules. • Applied real-world data traces to illustrate the effectiveness and accuracy. • Real-world data showed the scheme's impact on cost reduction in balancing markets. [ABSTRACT FROM AUTHOR]