Streaming phishing scam detection method on Ethereum

Phishing is a widespread scam activity on Ethereum, causing huge financial losses to victims. Most existing phishing scam detection methods abstract accounts on Ethereum as nodes and transactions as edges, then use manual statistics of static node features to obtain node embedding and finally identify phishing scams through classification models. However, these methods can not dynamically learn new Ethereum transactions. Since the phishing scams finished in a short time, a method that can detect phishing scams in real-time is needed. In this paper, we propose a streaming phishing scam detection method. To achieve streaming detection and capture the dynamic changes of Ethereum transactions, we first abstract transactions into edge features instead of node features, and then design a broadcast mechanism and a storage module, which integrate historical transaction information and neighbor transaction information to strengthen the node embedding. Finally, the node embedding can be learned from the storage module and the previous node embedding. Experimental results show that our method achieves decent performance on the Ethereum phishing scam detection task

Coronal condensations caused by magnetic reconnection between solar coronal loops

Employing Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) multi-wavelength images, we report the coronal condensation during the magnetic reconnection (MR) between a system of open and closed coronal loops. Higher-lying magnetically open structures, observed in AIA 171 A images above the solar limb, move downward and interact with the lower-lying closed loops, resulting in the formation of dips in the former. An X-type structure forms at the interface. The interacting loops reconnect and disappear. Two sets of newly-reconnected loops then form and recede from the MR region. During the MR process, bright emission appears sequentially in the AIA 131 A and 304 A channels repeatedly in the dips of higher-lying open structures. This indicates the cooling and condensation process of hotter plasma from ~0.9 MK down to ~0.6 MK, and then to ~0.05 MK, also supported by the light curves of the AIA 171 A, 131 A, and 304 A channels. The part of higher-lying open structures supporting the condensations participate in the successive MR. The condensations without support by underlying loops then rain back to the solar surface along the newly-reconnected loops. Our results suggest that the MR between coronal loops leads to the condensation of hotter coronal plasma and its downflows. MR thus plays an active role in the mass cycle of coronal plasma because it can initiate the catastrophic cooling and condensation. This underlines that the magnetic and thermal evolution has to be treated together and cannot be separated, even in the case of catastrophic cooling.Comment: 10 pages, 6 figure

Fusing Depth and Silhouette for Scanning Transparent Object with RGB-D Sensor

3D reconstruction based on structured light or laser scan has been widely used in industrial measurement, robot navigation, and virtual reality. However, most modern range sensors fail to scan transparent objects and some other special materials, of which the surface cannot reflect back the accurate depth because of the absorption and refraction of light. In this paper, we fuse the depth and silhouette information from an RGB-D sensor (Kinect v1) to recover the lost surface of transparent objects. Our system is divided into two parts. First, we utilize the zero and wrong depth led by transparent materials from multiple views to search for the 3D region which contains the transparent object. Then, based on shape from silhouette technology, we recover the 3D model by visual hull within these noisy regions. Joint Grabcut segmentation is operated on multiple color images to extract the silhouette. The initial constraint for Grabcut is automatically determined. Experiments validate that our approach can improve the 3D model of transparent object in real-world scene. Our system is time-saving, robust, and without any interactive operation throughout the process

Arisan Baca Tulis: Pemberantasan Buta Aksara Melalui Metode Arisan Yang Unik Dan Menyenangkan

Surabaya as the capital of East Java was haven\u27t free from illiteracy yet, the condition was mostly of them were women aged 30 years and over who haven\u27t completed the compulsory education for nine years. In addition, women are also considered capable of transmitting knowledge and their knowledge to the family, especially the children as closest network. With the fun activity, we expect the new atmosphere of togetherness and gathering with the same degree of age are able to create its own preoccupations and improving the confidence to learn to read and write. This program, is modified such that mothers are often going ahead and daring to write or read the sentences given by instructor, will get a roll of paper that bearing their names. Thus, the more quantity Mothers forward and dare to write and read, the more the roll of their names, and a chance to win the raffle of “Arisan” at the end of training will be even greater. With different and unique method, able to attract mothers to be more diligent in reading and writing, so that illiteracy slowly be decrease, the mothers began to realize how important education started early, and spirit and motivation for learning has begun to form, evidenced by an increase in the ability of mothers to read and write, 77% of mothers who previously could not read, or only able to spell, and be able to read haltingly, and 68% of mothers who can not write, or can only write a few letters, as well as stuttering to write, has increased its ability to 86% have been able to read fluently, and 77% have been able to write correctly

COVID-19 and College Teaching in China and USA

The global outbreaks of the COVID-19 significantly changed higher education in China and the United States. Universities and colleges from the two countries had to move their faceto- face classes fully online, which posed many new and significant challenges to both faculty and students. From late February 2020 (the beginning of the Chinese spring semester), all colleges and universities in China unprecedentedly moved their traditional face-to face-classes fully online. From Mid-March, the American schools had to move their face-to-face classes online. Our study focuses on one MLIS program from the United States, one MLIS program, one liberal arts program and one sci-tech program from China. We collected data over the whole Spring Semesters of these American and Chinese programs to compare the teaching and learning behaviors before and during the outbreaks. Specifically, we examined impacts of emerging technologies on LIS education and other academic programs. It will benefit the global higher education from the perspectives of Information, Technology, and Communications

Internal/External information access and information diffusion in social media

As social media platform not only provide infrastructure but also actively perform algorithmic curation for profit and user experience, it leads to an information filter bubble phenomenon: users are trapped in their own personalized bubble and are exposed only to the opinions that conform their beliefs and interests, thus potentially creating social polarization and information islands. However, filter bubbles hardly restrict all the users in a large social network, some information explorers can break the bubble and bring external global knowledge back to the internal network. In this paper, we investigate this assumption via hashtag adoption prediction. First, we construct a heterogeneous graph and extract 17 features to describe the event of hashtag adoption. Then, we generate learning instances and train a lasso regression model to do prediction. Preliminary results show that information explorers are more likely to adopt new hashtags than others, thereby more internal and external information can be diffused via these special users

Efficient inhibition of HIV-1 replication by an artificial polycistronic miRNA construct

10.1186/1743-422X-9-118Virology Journal9

Black holes regulate cold gas accretion in massive galaxies

Nearly every massive galaxy contains a supermassive black hole (BH) at its center. For decades, both theory and numerical simulations have indicated that BHs play a central role in regulating the growth and quenching of galaxies. Specifically, BH feedback by heating or blowing out the interstellar medium (ISM) serves as the groundwork for current models of massive galaxy formation. However, direct evidence for such an impact on the galaxy-wide ISM from BHs has only been found in some extreme objects. For general galaxy populations, it remains unclear whether and how BHs impact the ISM. Here based on a large sample of nearby galaxies with measurements of masses of both black holes and atomic hydrogen, the major component of cold ISM, we reveal that the atomic hydrogen content ($f_{\rm HI} = M_{\rm HI}/M_{\star}$) is tightly and anti-correlated with black hole mass ($M_{\rm BH}$) with $f_{\rm HI} \propto M^{-\alpha}_{\rm BH}$ ($\alpha \sim 0.5-0.6$). This correlation is valid across five orders of magnitude in $M_{\rm BH}$. Once this correlation is taken into account, $f_{\rm HI}$ loses dependence on other galactic parameters, demonstrating that $M_{\rm BH}$ serves as the primary driver of $f_{\rm HI}$. These findings provide critical evidence for how the accumulated energy from BH accretion impacts galaxy-wide ISM, representing a crucial step forward in our understanding on the role of BHs in regulating the growth and quenching of massive galaxies.Comment: 24 pages, 7 figures. Submitted to Natur