Provincial Maternal and Child Information System in Inner Mongolia, China: Descriptive Implementation Study.

BACKGROUND: After the implementation of 2- and 3-child policies, the rising proportion of high-age and high-risk pregnancies put enormous pressure on maternal and child health (MCH) services for China. This populous nation with an increasing population flow imperatively required the support of large-scale information systems for management. Municipal MCH information systems were commonly applied in developed cities of eastern provinces in China. However, implementation of provincial MCH information systems in relatively low-income areas is lacking. In 2020, the implementation of a regional maternal and child information system (RMCIS) in Inner Mongolia filled this gap. OBJECTIVE: This paper aimed to demonstrate the construction process and evaluate the implementation effect of an RMCIS in improving the regional MCH in Inner Mongolia. METHODS: We conducted a descriptive study for the implementation of an RMCIS in Inner Mongolia. Based on the role analysis and information reporting process, the system architecture design had 10 modules, supporting basic health care services, special case management, health support, and administration and supervision. Five-color management was applied for pregnancy risk stratification. We collected data on the construction cost, key characteristics of patients, and use count of the main services from January 1, 2020, to October 31, 2022, in Inner Mongolia. Descriptive analysis was used to demonstrate the implementation effects of the RMCIS. RESULTS: The construction and implementation of the RMCIS cost CNY 8 million (US $1.1 million), with a duration of 13 months. Between 2020 and 2022, the system recorded 221,772 registered pregnant women, with a 44.75% early pregnancy registry rate and 147,264 newborns, covering 278 hospitals and 225 community health care centers in 12 cities. Five-color management of high-risk pregnancies resulted in 76,975 (45.45%) pregnancies stratified as yellow (general risk), 36,627 (21.63%) as orange (relatively high risk), 156 (0.09%) as red (high risk), and 3888 (2.30%) as purple (infectious disease). A scarred uterus (n=28,159, 36.58%), BMI≥28 (n=14,164, 38.67%), aggressive placenta praevia (n=32, 20.51%), and viral hepatitis (n=1787, 45.96%) were the top factors of high-risk pregnancies (yellow, orange, red, and purple). In addition, 132,079 pregnancies, including 65,018 (49.23%) high-risk pregnancies, were registered in 2022 compared to 32,466 pregnancies, including 21,849 (67.30%) high-risk pregnancies, registered in 2020. CONCLUSIONS: The implementation of an RMCIS in Inner Mongolia achieved the provincial MCH data interconnection for basic services and obtained both social and economic benefits, which could provide valuable experience to medical administration departments, practitioners, and medical informatics constructors worldwide.

Unified ICH quantification and prognosis prediction in NCCT images using a multi-task interpretable network.

With the recent development of deep learning, the regression, classification, and segmentation tasks of Computer-Aided Diagnosis (CAD) using Non-Contrast head Computed Tomography (NCCT) for spontaneous IntraCerebral Hematoma (ICH) have become popular in the field of emergency medicine. However, a few challenges such as time-consuming of ICH volume manual evaluation, excessive cost demanding patient-level predictions, and the requirement for high performance in both accuracy and interpretability remain. This paper proposes a multi-task framework consisting of upstream and downstream components to overcome these challenges. In the upstream, a weight-shared module is trained as a robust feature extractor that captures global features by performing multi-tasks (regression and classification). In the downstream, two heads are used for two different tasks (regression and classification). The final experimental results show that the multi-task framework has better performance than single-task framework. And it also reflects its good interpretability in the heatmap generated by Gradient-weighted Class Activation Mapping (Grad-CAM), which is a widely used model interpretation method, and will be presented in subsequent sections.

Immunotherapy combination with regorafenib for refractory hepatocellular carcinoma: A real-world study.

PURPOSE: To compare the efficacy and safety of immunotherapy plus regorafenib versus regorafenib only in patients with pretreated hepatocellular carcinoma (HCC). METHODS: Immunotherapy plus regorafenib or regorafenib alone was analyzed in patients with advanced HCC with documented tumor progression on front-line therapy. Progression-free survival (PFS), overall survival (OS), disease control rate (DCR), and treatment-related adverse events (TRAEs) were assessed. RESULTS: Of the 125 patients enrolled in this study, 50 patients received combination (pCOM) treatment as front-line treatment, and 60 patients received monotherapy (pMONO) as front-line treatment. In the pCOM cohort, median OS was significantly longer with for patients regorafenib plus immunotherapy than regorafenib alone treatment (15.0 vs. 2.0 months; P = 0.035). The DCR numerically increased in the regorafenib plus immunotherapy treatment in both cohorts (40.6 % vs. 22.2 %, 72.7 % vs. 54.7 %, respectively). There were no differences in PFS with regorafenib according to whether or not regorafenib was combined with immunotherapy in the pCOM and pMONO cohorts (PFS, P = 0.17, P = 0.91, respectively). Regarding the number of TRAEs occurred, regorafenib plus immunotherapy group was comparable to regorafenib group in the pCOM cohort (65.6 % vs. 72.2 %). In the pMONO cohort, TRAEs occurred in fewer patients receiving regorafenib than regorafenib plus immunotherapy (69.8 % vs. 95.5 %). CONCLUSIONS: Immunotherapy plus regorafenib may significantly improve clinical outcomes and have a manageable safety profile compared with regorafenib monotherapy in advanced HCC after front-line therapy failure. The efficacy of combination therapy needs to be validated in prospective studies with large samples.

Knockdown of zinc finger protein 267 suppresses diffuse large B-cell lymphoma progression, metastasis, and cancer stem cell properties.

Zinc finger protein 267 (ZNF267) is a member of the Kruppel-like transcription factor family, which regulates various biological processes such as cell proliferation and differentiation. However, the biological significance of ZNF267 and its potential role in diffuse large B-cell lymphoma (DLBCL) remain to be documented. Experiments were herein conducted to study the role of ZNF267 in DLBCL. real-time quantitative reverse transcription PCR and Western blotting assays were conducted to detect the expression of ZNF267 in tissues and cells. Tissue microarray and bioinformatics analyses of public data were also done to detect the expression status and clinical significance of ZNF267. Functional cell experiments including CCK8 assay, colony formation assay, 5-ethynyl-2'-deoxyuridine (EDU) assay, terminal deoxynucleotidyl transferase biotin-dUTP nick end labeling (TUNEL) assay, transwell assay, and wound healing assay were conducted to study the effects of ZNF267 knockdown and overexpression on cell proliferation and mobility. Xenograft assay was also conducted to confirm the effects of ZNF267 knockdown in vivo. In the present study, we found ZNF267 was significantly upregulated in DLBCL and predicted a poor survival outcome based on the bioinformatics analysis. Functionally, the knockdown of ZNF267 resulted in less cell proliferation and mobility, whereas the overexpression led to enhanced cell proliferation and mobility. Animal experiments also confirmed that ZNF267 silence contributed to less tumor growth and less lung metastasis. Further analysis showed that ZFN267 knockdown resulted in decreased epithelial-mesenchymal transition (EMT) and cancer stem cell (CSC) properties. Our results suggest that ZNF267 is an oncogene in DLBCL and its silence could compromise the aggression of DLBCL, which makes ZNF267 a promising therapeutic target.

Amorphous Boron Dispersed in LaCoO3 with Large Oxygen Vacancies for Efficient Catalytic Propane Oxidation.

Unsatisfactory oxygen mobility is a considerable barrier to the development of perovskites for low-temperature volatile organic compounds (VOCs) oxidation. This work introduced small amounts of dispersed non-metal boron into the LaCoO3 crystal through an easy sol-gel method to create more oxygen defects, which are conducive to the catalytic performance of propane (C3 H8 ) oxidation. It reveals that moderate addition of boron successfully induces a high distortion of the LaCoO3 crystal, decreases the perovskite particle size, and produces a large proportion of bulk Co2+ species corresponding to abundant oxygen vacancies. Additionally, surface Co3+ species, as the acid sites, which are active for cleaving the C-H bonds of C3 H8 molecules, are enriched. As a result, the LCB-7 (molar ratio of Co/B=0.93:0.07) displays the best C3 H8 oxidation activity. Simultaneously, the above catalyst exhibits superior thermal stability against CO2 and H2 O, lasting 200 h. This work provides a new strategy for modifying the catalytic VOCs oxidation performance of perovskites by the regulation of amorphous boron dispersion.

Controllable P Doping of the LaCoO3 Catalyst for Efficient Propane Oxidation: Optimized Surface Co Distribution and Enhanced Oxygen Vacancies.

The properties of LaCoO3 are modified by a controllable P doping strategy via a simple sol-gel route. It is demonstrated that appropriate P doping is beneficial for forming a relatively pure perovskite phase and hinders the growth of perovskite nanoparticles. The combined results of density functional theory (DFT), extended X-ray absorption fine structure (EXAFS), X-ray absorption near-edge structure (XANES), temperature-programmed reduction of hydrogen (H2-TPR), X-ray photoelectron spectroscopy (XPS), and temperature-programmed desorption of ammonia (NH3-TPD) reveal that appropriate P doping gives rise to more oxygen vacancies, optimized distribution of Co ions, and improved surface acidity, which are beneficial for the adsorption of active oxygen species and the activation of propane molecules, resulting in an excellent catalytic oxidation performance. Especially, LaCo0.97P0.03O3 exhibits more surface-active oxygen species, higher bulk Co3+ proportion, increased surface Co2+ species, and increased acidity, resulting in its superior propane oxidation performance, which is dominated by the Langmuir-Hinshelwood mechanism. In situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) confirms that the presence of P will accelerate oxygen mobility, which in turn promotes the oxidation rate. Moreover, the obtained LaCo0.97P0.03O3 catalyst displays excellent thermal stability during the 60 h durability test at 400 °C and strong resistance against 5 vol % H2O and/or 5 vol % CO2 for prolonged 150 h.

Dense Dilated Network for Video Action Recognition.

The ability to recognize actions throughout a video is essential for surveillance, self-driving, and many other applications. Although many researchers have investigated deep neural networks to get a better result in video action recognition, these networks usually require a large number of well-labeled data to train. In this paper, we introduce a dense dilated network to collect action information from snippet-level to global-level. The dilated dense network is composed of the blocks with densely connected dilated convolutions layers. Our proposed framework is capable of fusing outputs from each layer to learn high-level representations, and these representations are robust even with only a few training snippets. We study different spatial and temporal modality fusing configurations and introduce a novel temporal guided fusion upon the dense dilated network which can further boost the performance. We conduct extensive experiments on two popular video action datasets: UCF101 and HMDB51. The experiments demonstrate the effectiveness of our proposed framework.

Insights into the high performance of Mn-Co oxides derived from metal-organic frameworks for total toluene oxidation.

Mn-Co mixed metal oxide is considered as efficient catalyst for the total oxidation of volatile organic compounds. In this study, nanocube-like metal-organic frameworks (Mn3[Co(CN)6]2·nH2O) are adopted as the precursor to generate Mn-Co oxides with different Mn/Co molar ratios, which affect little on phase structure and textural properties. The obtained MOF-Mn1Co1 with uniform metal dispersion is rich in high valence of surface Mn4+ and Co3+ species, leading to high low-temperature catalytic activity of total toluene oxidation. The results of toluene-TPD followed by TPO and toluene-TPSR match well with the catalytic performances of MOF-Mn1Co1, MOF-Mn1Co2, and MOF-Mn2Co1, and in situ FITR proves that the benzoate route exists over MOF-Mn1Co1. It is found that a moderate ratio of Mn/Co (1:1) favors good low-temperature reducibility and high Oads/Olatt, resulting in superior oxidation performance. However, the stability in the existence of water for MOF-Mn1Co1 is not satisfied, which should be overcome in the future.

RNA interference in the progress of gastric cancer.

Gastric cancer is one of common malignant tumors. The development of molecular biology and genetics prompts people to regulate tumor cell regulation from the gene level, and seeks method to the new tumor therapy. RNA interference (which is also called RNAi) is a technology of double stranded RNAexogenous or dsRNA into cells, therefore this thereby inhibits the expression function of corresponding target gene. This paper summarizes the development process and the mechanism of RNAi technology, outlines the progress of experimental gastric cancer of the current RNAi technology, which shows that this technology can directly or indirectly inhibit tumor, and reduce the drug resistance of tumor cells. With the gradual improvement of RNAi technology, it will become a new direction for gene therapy of gastric cancer.

Video-assisted thoracoscopic surgery (VATS) right upper lobectomy and systematic lymph node dissection for lung cancer.

Video-assisted thoracoscopic surgery (VATS) represents a new trend in the development of minimally invasive thoracic surgery. When applied in lung cancer surgeries, VATS can be used for both pulmonary lobectomy and regional lymph node dissection. Currently the main concerns are focused on the completeness of lymph node dissection for lung cancer and the safety of surgery. The lymph node dissection includes two parts: (I) dissection of interlobar and hilar lymph nodes; and (II) dissection of mediastinal lymph nodes. The demonstrated surgical procedures are featured by: (I) the interlobar and hilar lymph nodes are not removed separately; rathr, they are taken out en bloc with the pulmonary lobes during the surgery; and (II) systematic lymph node dissection, instead of systematic sampling, is applied for the removal of mediastinal lymph nodes. Also, during the fully anatomical resection, each blood vessel and bronchus underwent anatomical dissociation, indicating that this surgery is safe.

Research advancement in local ablation therapy for liver cancer.

After developing for more than 20 years, image-guided local ablation therapy has become one of the major treatments of hepatocellular carcinoma (HCC). In particular, percutaneous radio-frequency ablation has been widely accepted as the first-line treatment of early-stage HCC. A number of randomized controlled trials have shown some differences between these local ablation techniques. This article reviewed the development of local ablation therapy in the past few years.