Wi-CAS: A Contactless Method for Continuous Indoor Human Activity Sensing Using Wi-Fi Devices.

With the new coronavirus raging around the world, home isolation has become an effective way to interrupt the spread of the virus. Effective monitoring of people in home isolation has also become a pressing issue. However, the large number of isolated people and the privatized isolated spaces pose challenges for traditional sensing techniques. Ubiquitous Wi-Fi offers new ideas for sensing people indoors. Advantages such as low cost, wide deployment, and high privacy make indoor human activity sensing technology based on Wi-Fi signals increasingly used. Therefore, this paper proposes a contactless indoor person continuous activity sensing method based on Wi-Fi signal Wi-CAS. The method allows for the sensing of continuous movements of home isolated persons. Wi-CAS designs an ensemble classification method based on Hierarchical Clustering (HEC) for the classification of different actions, which effectively improves the action classification accuracy while reducing the processing time. We have conducted extensive experimental evaluations in real home environments. By recording the activities of different people throughout the day, Wi-CAS is very sensitive to unusual activities of people and also has a combined activity recognition rate of 94.3%. The experimental results show that our proposed method provides a low-cost and highly robust solution for supervising the activities of home isolates.

Wi-SL: Contactless Fine-Grained Gesture Recognition Uses Channel State Information.

In recent years, with the development of wireless sensing technology and the widespread popularity of WiFi devices, human perception based on WiFi has become possible, and gesture recognition has become an active topic in the field of human-computer interaction. As a kind of gesture, sign language is widely used in life. The establishment of an effective sign language recognition system can help people with aphasia and hearing impairment to better interact with the computer and facilitate their daily life. For this reason, this paper proposes a contactless fine-grained gesture recognition method using Channel State Information (CSI), namely Wi-SL. This method uses a commercial WiFi device to establish the correlation mapping between the amplitude and phase difference information of the subcarrier level in the wireless signal and the sign language action, without requiring the user to wear any device. We combine an efficient denoising method to filter environmental interference with an effective selection of optimal subcarriers to reduce the computational cost of the system. We also use K-means combined with a Bagging algorithm to optimize the Support Vector Machine (SVM) classification (KSB) model to enhance the classification of sign language action data. We implemented the algorithms and evaluated them for three different scenarios. The experimental results show that the average accuracy of Wi-SL gesture recognition can reach 95.8%, which realizes device-free, non-invasive, high-precision sign language gesture recognition.

Correlations of Hemoglobin Level and Perioperative Blood Transfusion with the Prognosis of Gastric Cancer: A Retrospective Study.

BACKGROUND This study was designed to explore the correlations of hemoglobin level (Hb) and perioperative blood transfusion with the prognosis of gastric cancer (GC). MATERIAL AND METHODS Our study consisted of 210 patients with GC who all received a D2 radical operation. These patients were assigned into three groups: 68 cases in group A (blood transfusion >5 U); 59 cases in group B (blood transfusion <5 U); 83 cases in group C (without blood transfusion). A 5-year follow-up was conducted to evaluate the disease-free survival of the patients. Univariate analysis was performed to reveal the relationship between the indicators and the patients with GC. Kaplan-Meier method was employed to analyze the survival rate of patients, and Cox regression analysis was applied to determine the independent prognostic factors of GC. RESULTS The univariate analysis indicated that age, perioperative blood transfusion amount, TNM staging, maximal tumor diameter, differentiation degree and invasion degree were associated with the prognosis of GC. The Kaplan-Meier curve showed that the disease-free survival rate was declined in the patients who were older, those received more amount of blood transfusion, those in advanced TNM staging, those had larger tumor diameter, and those with decreased degree of differentiation and invasion. Cox regression analysis indicated that perioperative blood transfusion, maximal tumor diameter and invasion degree were the independent factors affecting disease-free survival of the GC. CONCLUSIONS Our study revealed that large amount of perioperative blood transfusion leads to poor prognosis of GC.

SOX5 promotes epithelial-mesenchymal transition in osteosarcoma via regulation of Snail.

PURPOSE: SOX5 plays important roles in various kinds of cancers. However, the expression and roles of SOX5 in osteosarcoma (OS) have not been investigated well. In the present study we aimed to investigate the mechanism of SOX5 in OS. METHODS: OS and adjacent non-cancerous specimens were obtained from patients with OS. PCR was applied to detect SOX5 mRNA. Then human OS cell lines (U2OS, SoSP-M, SoSP-9607, and MG-63) and one immortalized normal osteoblast hFOB1.19 were investigated. SOX5 knocking with shRNA in U2OS and SOX5 upregulation with recombinant plasmid in MG-63 were applied. Real-time cell monitoring system and invasion assay were used, and Western blot assay was performed to detect the protein level of E-cadherin, N-cadherin, Vimentin and Snail, where Glyceraldehyde3- phosphate dehydrogenase (GAPDH) was presented as control. P<0.05 was considered as statistically significant. RESULTS: Significant upregulation of SOX5 in OS tissues and cell lines was identified. The gain- and loss-of-function studies suggested that OS cell migration and invasion were promoted significantly by SOX5. Additionally, SOX5 promoted epithelial-mesenchymal transition (EMT) by regulation of Snail. CONCLUSION: SOX5 is a novel regulator of EMT in OS, and is a potential target for OS.

microRNA­625 targets Yes­associated protein 1 to suppress cell proliferation and invasion of osteosarcoma.

Osteosarcoma (OS) is the leading cause of cancer­associated mortality in adolescents and children. MicroRNAs (miRNAs) have critical roles in cancer, particularly in the initiation and progression of OS. Therefore, OS­associated miRNAs should be identified for use as therapeutic targets for treatment of OS. This study aimed to investigate the expression pattern, potential roles and underlying mechanism of microRNA­625 (miR­625) in OS. miR­625 was markedly downregulated in OS tissues and cell lines compared with that in associated adjacent non­tumor tissues and human normal osteoblasts, respectively. The enforced expression of miR­625 using miRNA mimics significantly reduced the proliferation and invasion of OS cells. Bioinformatics analysis and luciferase reporter assays indicated that miR­625 targeted the 3'­untranslated region of Yes­associated protein 1 (YAP­1). Furthermore, upregulation of miR­625 reduced endogenous YAP1 expression at the mRNA and protein levels. The upregulated expression of YAP1 in OS tissues was inversely correlated with miR­625 expression. YAP1 restoration using a recombinant plasmid rescued the miR­625­mediated tumor­suppressive effects in OS cells. In conclusion, miR­625 attenuated the cell proliferation and invasion of OS by suppressing YAP1. Thus, miR­625 may be a potential target for OS therapy.