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Action recognition is a hot topic in computer vision and machine learning. The related applications are widely used in daily life. This paper conducts research on pedestrian fall detection methods from escalators based on TSN to recognize falling actions on the escalator and improve its performance. The recognition accuracy is closely related to the network architecture, the input data and parameter tuning. The popular input data of the network is mainly RGB images and optical flow and the classic network is two-stream and C3D. Instead of the traditional method, this paper uses limited samples and a feature fusion approach to find out falling pedestrians in class imbalance. The key and non-key frames are extracted from the video segments and sent to spatial networks and temporal ones relatively. With feature fusion and a series of optimization, the results showed that this method achieved higher accuracy, lower FAR and better performance effectively on both UCF101/HMDB51 datasets and pedestrian fall action recognition task compared with other popular action recognition methods.

Nowadays, mobile apps are surging around the world. Instead of hitting shelves of official app stores, many apps are posted on webpages or spread by social media, because choosing the later way could save time and energy to release mobile apps. However, it is difficult to know the app type and developer information of this kind of mobile apps without installation. Sometimes, we need to know which mobile apps are similar, which apps are developed by the same person or group. Therefore, clustering mobile apps in an unsupervised way is quite important. In this paper, we propose a mobile app clustering scheme based on code design and app manufacturing genre. Results show that the clustering scheme could efficiently find similar apps and the similarity computed by functional design characteristics will achieve better clustering performance.

TV networks are no longer just closed networks. They are increasingly carrying Internet services, integrating and interoperating with home IoT and the Internet. In addition, client devices are becoming intelligent. At the same time, they are facing more security risks. Security incidents such as attacks on TV systems are commonplace, and there are many incidents that cause negative effects. The security protection of TV networks mainly adopts security protection schemes similar to other networks, such as constructing a security perimeter; there are few security researches specifically carried out for client-side devices. This paper focuses on the mainstream architecture of the integration of HFC TV network and the Internet, and conducts a comprehensive security test and analysis for client-side devices including EOC cable bridge gateways and smart TV Set-Top-BoX. Results show that the TV network client devices have severe vulnerabilities such as command injection and system debugging interfaces. Attackers can obtain the system control of TV clients without authorization. In response to the results, we put forward systematic suggestions on the client security protection of smart TV networks in current days.

With the rapid development of network and multimedia technologies, a large number of image databases have been produced, and image data has been experiencing an exponential growth. Meanwhile, the requirement for searching images, i.e. image retrieval in large databases is a hot issue. Many traditional methods search for images accurately according to the feature vector of the image, but this method is computationally expensive. The most famous improved solution is the Locality Sensitive Hashing (LSH, Locality Sensitive Hashing) method which sacrifices some search accuracy to improve efficiency. However, most of the current LSH methods are difficult to handle large-scale data. Therefore, in this paper we design and implement a distributed image retrieval approach based on LSH. The hash value of an image is used to filter out a batch of completely irrelevant pictures, and then the distributed computing resources are utilized to find similar pictures. Experimental results show that the accuracy rate and recall rate could reach about 90%, at the same time the retrieval speed is acceptable, about 120 ms for each retrieval on average.

Metastatic breast cancer is a leading health burden worldwide. Previous studies have shown that metadherin (MTDH) promotes breast cancer initiation, metastasis and therapy resistance; however, the therapeutic potential of targeting MTDH remains largely unexplored. Here, we used genetically modified mice and demonstrate that genetic ablation of Mtdh inhibits breast cancer development through disrupting the interaction with staphylococcal nuclease domain-containing 1 (SND1), which is required to sustain breast cancer progression in established tumors. We performed a small-molecule compound screening to identify a class of specific inhibitors that disrupts the protein-protein interaction (PPI) between MTDH and SND1 and show that our lead candidate compounds C26-A2 and C26-A6 suppressed tumor growth and metastasis and enhanced chemotherapy sensitivity in preclinical models of triple-negative breast cancer (TNBC). Our results demonstrate a significant therapeutic potential in targeting the MTDH-SND1 complex and identify a new class of therapeutic agents for metastatic breast cancer.

The Truong Son metallogenic belt in central Laos and Vietnam is an important Fe-Cu-Sn-Au polymetallic ore district. The Pha Lek Fe deposit is closely related to Late Carboniferous- Early Permian I-type granitic magmatism, and contains >50 Mt @ 45% to 50% of Fe ore. Ore minerals occur mainly as magnetite and hematite in the skarn alteration zone between a granitic pluton and metamorphosed Middle-Upper Devonian carbonates. The granitic pluton comprises granodiorite and granite, with zircon U-Pb dating indicating synchronous emplacement at 288.2±1.3 and 284.9±1.2 Ma, respectively. Zircons from these granitoids have eHf(t) values of 2.9-11.2 and relatively young TDM2 ages (

This paper mainly studies the dynamic response of composites with glass fiber as reinforcement and polypropylene resin as matrix under high-speed projectile penetration. The penetration effects of fiber unidirectional ply cross-ply and quasi-isotropic ply laminate were studied by using penetration velocities of 100–500 m/s. The effects of ply angle on ballistic limit velocity, target energy absorption rate and corresponding failure mode are analyzed. The correctness of the simulation model is verified by comparative experiments, and the ply angle of glass fiber reinforced polypropylene (GF/PP) composites is optimized. The results show that the energy absorption efficiency of the three kinds of laminated plates gradually decreases with the increase of the projectile incident velocity, and with the increase of the velocity, the absorption rate of the target plate gradually decreases tends to the same constant. The laminated plates with complex ply angles are simulated and analyzed, and the optimization results show that the ballistic limit velocity of fiber-reinforced composite laminates with ply angle of 30° is the highest.

Background Mast cells play important roles in the progression of various malignancies, but their prognostic value in gastric cancer is unknown. Tryptase expression, as an indicator of mast cell activity, was therefore evaluated to see whether this could be incorporated usefully into a prognostic nomogram after surgery in patients with gastric cancer. Methods Tissue microarrays from patients with gastric cancer were created from formalin-fixed, paraffin-embedded resection specimens. Tryptase density was assessed by immunohistochemistry, and the association between tryptase expression and prognosis was evaluated. Semiquantitative scoring was devised to determine an optimal cut-off value that correlated with survival. A prognostic nomogram was then developed incorporating tryptase expression scores along with other variables known to be related to survival. Results Tissue microarrays were generated from 419 patients having surgery for gastric cancer. Increased tryptase expression was associated with better overall and recurrence-free survival (both P < 0·001). Tryptase expression was an independent favourable prognostic factor for overall (HR 0·72; P = 0·027) and recurrence-free (HR 0·74; P = 0·044) survival. The accuracy of an established prognostic model was improved when tryptase expression was added. Conclusion Tryptase expression is an independent prognostic factor for overall and recurrence-free survival in patients with gastric cancer after surgical resection.

DNS is a quite critical network service while it is a critical attack vector. DNS vulnerabilities and attacks have been studied for many years. However, what parameters are efficient to identify specific type of DNS attacks? This question becomes more important in order to ensure DNS security in this big data era. This paper firstly characterizes main types of DNS attacks, and then gives some analytic methods to detect malicious traffic in big network data. Based on a recent dataset in a competition, analysis is carried out to verify our methods. We try to obtain some hints along with DNS malicious traffic, which might be helpful to carry out quick and efficient attack detection in huge data.

1007 Background: Camrelizumab (anti-PD-1 antibody) and nab-paclitaxel (nab-P) have demonstrated promising anti-tumour activity in patients with immunomodulatory (IM) subtype metastatic triple negative breast cancer (TNBC), with 52.6% of ORR observed in heavily pretreated patients in our previous umbrella trial (FUTURE). As antiangiogenic agents were known to enhance the response to immune checkpoint inhibitors, we assessed the efficacy and safety of novel triplet combination of famitinib (tyrosine kinase inhibitor targeting VEGFR-2, PDGFR and c-kit), camrelizumab and nab-paclitaxel in patients with IM subtype advanced TNBC. Methods: In this prospective, single-arm, phase 2 study, eligible patients were 18-70 years and had treatment-naive IM subtype unresectable locally advanced or metastatic TNBC. IM subtype was defined as CD8+ by immunohistochemistry. Eligible patients received camrelizumab (200 mg iv, d1, 15, q4w) with nab-P (100 mg/m2 iv, d1, 8, 15, q4w) and famitinib (20 mg po qd, d1-28, q4w). Treatment was continued until disease progression, patient withdrawal, or unacceptable toxic effects. In the absence of intolerable toxicity, nab-P was to be administered for a minimum of 6 cycles. Primary endpoint was objective response rate according to RECIST v1.1. We explored the predictive biomarkers using targeted sequencing with a 484-gene panel. Results: From Oct 2019 to Oct 2020, 48 patients were enrolled. Confirmed objective responses were achieved in 39 (81.3%; 95% CI 70.2%-92.3%) of 48 patients in the intention-to-treat population and in 39 (84.8%; 95% CI 74.4%-95.2%) of 46 patients in the per-protocol population. Median time to response was 1.8 months (95% CI 1.8-2.0 months). With a median follow-up of 9.0 months, progression-free survival (PFS) and duration of response data were not mature. Thirty patients (62.5%) are still on the study treatment. The 9-month PFS rate was 60.2% (95% CI, 43.2% to 77.3%). Grade 3 or 4 adverse events were neutropenia (33.3%), anaemia (10.4%), febrile neutropenia (10.4%), thrombocytopenia (8.3%), hypertension (4.2%), hypothyroidism (4.2%), proteinuria (2.1%), septicemia (2.1%) and immune related myocarditis (2.1%). Adverse events that led to the discontinuation of any agent occurred in 6.3% of the patients. Two patients had treatment-related serious adverse events. No treatment-related deaths were reported. Biomarker analysis showed that somatic mutations of GSK3A may have the potential to predict immunotherapy response. Conclusions: Addition of famitinib to camrelizumab and nab-paclitaxel showed promising antitumour activity as first-line therapy with manageable toxicity profile for IM subtype advanced TNBC patients. Results from ongoing randomized controlled trial FUTURE-SUPER (NCT 04395989) are eagerly awaited. Clinical trial information: NCT04129996 .

Detecting overlapping community structure can give a significant insight into structural and functional properties in complex networks. In this Letter, we propose an improved label propagation algorithm (LPA) to uncover overlapping community structure. After mapping nodes into random variables, the algorithm calculates variance of each node and the proposed average node energy. The nodes whose variances are less than a tunable threshold are regarded as bridge nodes and meanwhile changing the given threshold can uncover some latent bridge node. Simulation results in real-world and artificial networks show that the improved algorithm is efficient in revealing overlapping community structures.

Attribute-Based Encryption (ABE) is generally applied on Cloud Storage to ensure the security and efficient access control of uploaded data. However, with the development of quantum computing, Diffie-Hellman Problem and Discrete Logarithm Problem, which all ABE scheme based on, have been solved. Therefore, anti-quantum ABE schemes become a research hotspot. However, current anti-quantum ABE schemes cannot make attribute revocation. In order to solve these problems, we propose a lattice attribute-based encryption scheme for cloud storage based on R-LWE problem (L-ABE). Firstly, we construct public/secret key pairs based on the hardness of Ring Learning with Error problem (R-LWE) to achieve quantum attack resistance effectively. Secondly, our scheme can achieve attribute revocation to ensure fine-grained access control. Finally, we prove that our scheme can resist chosen plaintext attack.

Because of the high-value data of an enterprise, sophisticated cyber-attacks targeted at enterprise networks have become prominent. Attack graphs are useful tools that facilitate a scalable security analysis of enterprise networks. However, the administrators face difficulties in effectively modelling security problems and making right decisions when constructing attack graphs as their risk assessment experience is often limited. In this paper, we propose an innovative method of security assessment through an ontology- and graph-based approach. An ontology is designed to represent security knowledge such as assets, vulnerabilities, attacks, countermeasures, and relationships between them in a common vocabulary. An efficient algorithm is proposed to generate an attack graph based on the inference ability of the security ontology. The proposed algorithm is evaluated with different sizes and topologies of test networks; the results show that our proposed algorithm facilitates a scalable security analysis of enterprise networks.

Public reports show that crimes linked to social networks have increased sharply in past years. The social networking activity records extracted from a suspect's mobile device plays an important role in the investigation. However, previous works mainly conducted forensics by extracting electronic evidence that is cached in mobile devices and may be deleted for various reasons. In this paper, we proposed a novel investigating approach on Twitter and WeChat based on a customised Android emulator, which can collect evidence from both local device and remote online services. Our approach was evaluated using data copies of Twitter and WeChat from different Android smartphones, which validated the practicability of the proposed method. This paper is intended to provide vital references for the investigators and researchers working on the digital forensics.

Immune molecules, which have been found to be important in tumor microenvironment, seem prospective in tumor therapy, but they are still not effective enough to use in clinical practice. C-C motif chemokine 22 (CCL22) exists in various malignancies and correlates with migration of regulatory T cells, but its clinical significance in gastric cancer is still unclear. In this study, a combined data set of 466 patients with gastric cancer after surgical resection, comprised of a discovery (n = 319) and a validation data set (n = 147), was enrolled. CCL22 expression was assessed by immunohistochemical staining and we evaluated prognostic values of CCL22 staining and clinical outcomes with use of Kaplan-Meier curve and Multivariate Cox regression analysis. Positive CCL22 expression predicted adverse overall survival independent of traditional pathological grade. Multivariate analysis defined CCL22 and TNM stage as two independent prognostic factors for overall survival. Besides, in patients with TNM stage II/III disease, the rate of overall survival was higher among patients with CCL22-positive tumors who were treated with 5-fluorouracil based adjuvant chemotherapy than that among those who were not (P = 0.012, P < 0.001 and P < 0.001, in discovery, validation and combined data set). But for these with CCL22-negative tumors, whether to undergo adjuvant chemotherapy showed no statistical significance (P = 0.595, P = 0.085 and P = 0.252, respectively). To conclude, CCL22 was identified as an independent adverse prognostic immunobiomarker for patients with gastric cancer after surgery, which is associated with tumor-infiltrating immunocytes and could be incorporated into TNM staging system to redefine a high-risk subgroup who were more likely to benefit from 5-fluorouracil based adjuvant chemotherapy.

Purpose– The purpose of this paper is to analyze the “following” behavior of six currencies in East Asia to RMB before and after the “financial crisis”.Design/methodology/approach– Using foreign exchange spot rate data from 2005 to 2013, the authors investigate the dynamic relationship of RMB and six East Asia currencies with method of DCC-GARCH and quantile regression.Findings– The authors get such conclusions: first, most currencies indeed “follow” RMB in whole sample period but the correlation is “time-varying”; second, the degree of co-movement increased as a whole, which reflects that the influence of China in East Asia rose continuously; third, the East Asian currencies behaved differently before the crisis, but reveal some similarities after the crisis, and prefer to “follow” when RMB depreciates and reluctant to follow when RMB appreciates at a comparatively large degree. The authors argue that it may be related to the different macroeconomic environment faced by East Asia region before and after the crisis, the rising economic influence of China and the development of RMB internationalization’s practice.Originality/value– The effort could strength the understanding to the “following” behavior of East Asia currencies to RMB, the authors also point out that RMB has been as regional currency anchor, but the role of anchor is unstable, and is affected by international economic circumstance, China should adapt some methods to strength RMB’s influence to East Asia currency.

Because of the distributed nature of cloud computing, the data of cloud may be stored and processed across jurisdictional borders. In such case, collecting digital evidence from cloud computing requires multiparty cooperation. However, as far as we known, there is still no available technic approach for improving the trustworthy of the interaction records of all stakeholders in cloud forensics. This work proposed a process provenance, which provides proof of existence and privacy preservation for process records by using technologies of blockchain and cryptography group signature. The process provenance enhances the trustworthy of the chain of custody for cloud forensics.

The permission model is an essential Android mechanism for resisting security threats: android malware can do very little if the user denies its requests for permissions. However, the recent literatures show that certain vulnerable applications with insufficiently enforced privileges may lead to critical permissions leakage via inter-application interaction. Malicious applications can trick these vulnerable applications to perform actions that are beyond their given privileges. This study proposes an efficient approach for the analysis of permission leakage vulnerabilities in Android inter-process communications; this approach identifies suspicious vulnerable paths based on an analysis of control-flow and dataflow. We handle the unsafe control flows over inter-component communication and asynchronous calls through Android callbacks, which is the major difference from previous related studies. The proposed system was evaluated using 550 real-world Android applications and the experiment result demonstrated the practicality of our method.

Public reports show that crimes linked to Smartphones have increased sharply in past years. Because of the largest market share of Android, forensics on Android device had become a focus in the field of digital forensics. Data acquisition is a key aspect for smartphones forensics. In this paper, we proposed an improved approach of acquiring data image using special modes of Qualcomm processors, which almost taken more than half of market share of mobile smartphones' CPU. Evaluation experiments confirmed that proposed methods are practicability and the data integrity of extracted partition images is preserved. This work is intended to provide vital references for the investigators and researchers working on the digital forensics.

Importance Loss of O 6 -methylguanine-DNA methyltransferase (MGMT) protein expression has been reported in several malignant tumors and predicts dismal survival outcomes. In gastric cancer, existing studies on this topic are limited and the association between MGMT and fluorouracil-based adjuvant chemotherapy remains obscure. Objective To investigate the postoperative prognostic significance of MGMT in patients with resectable gastric cancer and its responsiveness to fluorouracil-based adjuvant chemotherapy. Design, Setting, and Participants This study recruited 445 consecutive patients with resectable gastric cancer who underwent radical gastrectomy between August 1, 2007, and December 30, 2008, at Zhongshan Hospital at Fudan University in Shanghai, China. Patients were randomly divided into a discovery data set (n = 200) and a validation data set (n = 245), and the range of follow-up time was from 2 to 76 months for the discovery group and 2 to 79 months for the validation group. The immunoreactivity for MGMT in cancer cells was reviewed under a light microscope by 2 pathologists who were blinded to the clinicopathological data. The association of MGMT expression with clinicopathological characteristics and measures and prognosis was inspected. Data and specimens were collected from patients from the date of surgery to April 25, 2014. Data analysis took place from May 9, 2016, to July 15, 2016. Main Outcomes and Measures Estimates of overall survival on the basis of MGMT expression and hazard ratio (HR) for estimates of overall mortality risk. Results Of the 445 patients included in the study, 315 (70.8%) were men, and the mean (SD) age of all patients was 60 (12) years. Positive expression of MGMT indicated better overall survival for patients with stage II or III gastric cancer in both the discovery data set (HR, 0.52; 95% CI, 0.32-0.84; P = .003) and the validation data set (HR, 0.63; 95% CI, 0.43-0.93; P = .01). Multivariate analysis identified MGMT expression and TNM stage as 2 independent prognostic factors for overall survival. In stage II disease, the benefit from fluorouracil-based adjuvant chemotherapy was superior among MGMT-positive patients (HR, 0.35; 95% CI, 0.13-0.95; P = .007 for interaction) compared with MGMT-negative patients. Conclusions and Relevance Positive expression of MGMT in gastric cancer was identified as an independent, favorable prognostic factor. Incorporating MGMT expression into the current TNM staging system could lead to better prognostic accuracy. These findings should be confirmed within the framework of randomized clinical trials associated with genomic DNA sequencing studies.

The interaction of glycoprotein 130 (gp130) with the cytokines of Interleukin-6 (IL-6) family has proved to play a crucial part in several cancers. Our current study is designed to discover the clinical prognostic significance of gp130 in non-metastatic gastric cancer. We examined intratumoral gp130 expression in retrospectively enrolled 370 gastric cancer patients who underwent radical gastrectomy with standard D2 lymphadenectomy at Zhongshan Hospital of Fudan University during 2007 and 2008 by immunohistochemical staining. The expression of gp130 was significantly correlated with T classification, N classification and TNM stage (P = 0.003, P P P P P

Cloud computing delegates the management of physical data to the third parties who cannot be trusted fully. This may result in security risks in integrity of outsourcing data, the cloud users are hard to convince that their data which is processed in cloud computational tasks is kept intact. Although identity-based signature has been proven useful within cloud security infrastructures by offering more light weight and flexible key management approaches than traditional PKI does. However, the inherent key escrow problem of identity-based signature is hard to be accepted by cloud users. In this paper, we proposed an identity-based signature with escrow free and ID-protection for Cloud Computing, which can solve the key escrow problem better. The idea behind our solution is to utilize a trusted third party to bind the partial secret and the identity of the user together, which prevents the malicious PKG from impersonating the honest user's identity. Detailed security proofs and comparisons (in terms of computational cost, communication overhead and security properties) show that our proposal is secure and efficient.

// Yifan Cao 1,* , Hao Liu 2,* , Heng Zhang 2,* , Chao Lin 2 , Ruochen Li 1 , Songyang Wu 1 , He Li 2 , Hongyong He 2 , Weijuan Zhang 3 and Jiejie Xu 1 1 Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China 2 Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China 3 Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, China * These authors contributed equally to this work Correspondence to: Hongyong He, email: // Weijuan Zhang, email: // Jiejie Xu, email: // Keywords : CXCR1, gastric cancer, nomogram, overall survival, adjuvant chemotherapy Received : July 26, 2016 Accepted : October 14, 2016 Published : October 21, 2016 Abstract Backround: Abnormal expression of CXC chemokine receptor 1 (CXCR1) has shown the ability to promote tumor angiogensis, invasion and metastasis in several cancers. The purpose of our curret study is to discover the clinical prognostic significance of CXCR1 in resectable gastric cancer. Methods: 330 gastric cancer patients who underwent R0 gastrectomy with standard D2 lymphadenectomy at Zhongshan Hospital, Fudan University between 2007 and 2008 were enrolled. CXCR1 expression was evaluated with use of immunohistochemical staining. The relation between CXCR1 expression and clinicopathological features and postoperative prognosis was respectively inspected. Results: In both discovery and validation data sets, CXCR1 high expression indicated poorer overall survival (OS) in TNM II and III patients. Furthermore, multivariate analysis identified CXCR1 expression and TNM stage as two independent prognostic factors for OS. Incorporating CXCR1 expression into current TNM staging system could generate a novel clinical predictive model for gastric cancer, showing better prognostic accuracy with respect to patients’ OS. More importantly, TNM II patients with higher CXCR1 expression were shown to significantly benefit from postoperative 5-fluorouracil (5-FU) based adjuvant chemotherapy (ACT). Conclusion: CXCR1 in gastric cancer was identified as an independent adverse prognostic factor. Combining CXCR1 expression with current TNM staging system could lead to better risk stratification and more accurate prognosis for gastric cancer patients. High expression of CXCR1 identified a subgroup of TNM stage II gastric cancer patients who appeared to benefit from 5-FU based ACT.

The expression of galectin family has been unraveled in many malignant tumors and related with clinical outcomes. Our current study aims to investigate the prognostic value of galectin-8 expression and refine the current risk stratification system in non-metastatic gastric cancer patients. We retrospectively enrolled 421 patients with gastric cancer from Zhongshan Hospital, Fudan University in 2008. The expression of galectin-8 was detected by immunohistochemistry, and its association with clinicopathological features and prognostic outcomes were assessed. We found that galectin-8 expression was significantly associated with tumor size (P = 0.007), T stage (P = 0.001), N stage (P

Logs are one of the most important pieces in forensics, which can be leveraged to extract critical evidences or help drastically speed up the investigation. Nevertheless, collecting the logs from cloud infrastructure is extremely difficult, since the investigators almost totally lack of control over the cloud. In this work, we introduce the notion of secure logging monitor service, which is deployed in the cloud and generates integrity proofs of cloud logs in real time. Once a proof entry has been produced, a dishonest cloud service provider (CSP) even colludes with the investigator, can't fake or remove the corresponding logs without being detected. Compared with related works, the proposed scheme can simultaneously meet the most major requirements of cloud forensics, including the integrity of log evidences, privacy protection and low computational burden.

Nowadays, short message service (SMS) is faced with various security threats. Thus, the fields of high confidentiality(e.g., mobile E-commerce) require a higher level of security protection on SMS. Secure communication in incredible mobile network has very important significance. This paper presents a high security communication protocol for SMS. Through authentication, decryption and integrity protection, it establishes an end-to-end secure channel between server-side and mobile terminal. Through analyzed it by svo logic, this protocol is proved to ensure confidentiality, integrity and non-repudiation of SMS messages.