Modeling Paying Behavior in Game Social Networks

Online gaming is one of the largest industries on the Internet, generating tens of billions of dollars in revenues annually. One core problem in online game is to find and convert free users into paying customers, which is of great importance for the sustainable development of almost all online games. Although much research has been conducted, there are still several challenges that remain largely unsolved: What are the fundamental factors that trigger the users to pay? How does users? paying behavior influence each other in the game social network? How to design a prediction model to recognize those potential users who are likely to pay? In this paper, employing two large online games as the basis, we study how a user becomes a new paying user in the games. In particular, we examine how users' paying behavior influences each other in the game social network. We study this problem from various sociological perspectives including strong/weak ties, social structural diversity and social influence. Based on the discovered patterns, we propose a learning framework to predict potential new payers. The framework can learn a model using features associated with users and then use the social relationships between users to refine the learned model. We test the proposed framework using nearly 50 billion user activities from two real games. Our experiments show that the proposed framework significantly improves the prediction accuracy by up to 3-11% compared to several alternative methods. The study also unveils several intriguing social phenomena from the data. For example, influence indeed exists among users for the paying behavior. The likelihood of a user becoming a new paying user is 5 times higher than chance when he has 5 paying neighbors of strong tie. We have deployed the proposed algorithm into the game, and the Lift_Ratio has been improved up to 196% compared to the prior strategy

Signaling Network Assessment of Mutations and Copy Number Variations Predicts Breast Cancer Subtype-specific Drug Targets

Individual cancer cells carry a bewildering number of distinct genomic alterations i.e., copy number variations and mutations, making it a challenge to uncover genomic-driven mechanisms governing tumorigenesis. Here we performed exome-sequencing on several breast cancer cell lines which represent two subtypes, luminal and basal. We integrated this sequencing data, and functional RNAi screening data (i.e., for identifying genes which are essential for cell proliferation and survival), onto a human signaling network. Two subtype-specific networks were identified, which potentially represent core-signaling mechanisms underlying tumorigenesis. Within both networks, we found that genes were differentially affected in different cell lines; i.e., in some cell lines a gene was identified through RNAi screening whereas in others it was genomically altered. Interestingly, we found that highly connected network genes could be used to correctly classify breast tumors into subtypes based on genomic alterations. Further, the networks effectively predicted subtype-specific drug targets, which were experimentally validated.Comment: 4 figs, more related papers at http://www.cancer-systemsbiology.org, appears in Cell Reports, 201

Integration of ATAC-seq and RNA-seq identifies active G-protein coupled receptors functioning in molting process in muscle of Eriocheir sinensis

Discontinuous muscle growth during molting is an important feature of Eriocheir sinensis. Molting is a physiological process completed by the cooperation of multiple organs. Signal transmission is critical for the accurate regulation of each step in molting. However, the knowledge of the signal transduction mechanism in the molting process of E. sinensis is presently very limited. In this work, the chromatin accessibility and gene expression of the muscle in E. sinensis in pre-molt (D) and post-molt (A) stages were sequenced by assay of transposase accessible chromatin sequencing (ATAC-seq) and RNA-seq, respectively. The differentially expressed genes (DEGs) in the muscle before and after molting were analyzed by combining ATAC-seq and RNA-seq, especially the G-protein coupled receptor (GPCR) genes in the process of signal transduction. The results showed that there were 616 common DEGs in ATAC-seq and RNA-seq in A vs. D stages, of which 538 were upregulated and 78 were downregulated. In the 19 DEGs included in the signaling transduction process, 13 were located in the GPCR signaling pathway and all were upregulated in A stages, which indicated that GPCRs play a leading role in muscle signal transmission during post-molt stage in molting. In these genes, the structure of the proteins encoded by 10 membrane-located genes with transmembrane activity was further analyzed. Six candidate GPCR genes were finally identified and further verified by real-time quantitative PCR (qRT-PCR). The GPCRs include metabotropic glutamate receptor 7, Mth-like 4, and Mth2 proteins. These results show the existence of GPCRs in the muscle of E. sinensis and, for the first time, found their dominant role in the signal transduction process during molting. It provides important clues for the study of muscle discontinuous growth and molting mechanism of E. sinensis

Amphiphilic Polyphosphazene for Fluorocarbon Emulsion Stabilization

High internal phase emulsions (HIPEs) have been of great interest for fabricating fluorinated porous polymers having controlled pore structures and excellent physicochemical properties. However, it remains a challenge to prepare stable fluorocarbon HIPEs, due to the lack of suitable surfactants. By randomly grating hydrophilic and fluorophilic side chains to polyphosphazene (PPZ), a comb-like amphiphilic PPZ surfactant with biodegradability is designed and synthesized for stabilizing water/fluorocarbon oil-based emulsions. The hydrophilic-lipophilic balance of PPZs can be controlled by tuning the grating ratio of the two side chains, leading to the preparation of stable water-in-oil HIPEs and oil-in-water emulsions, and the production of fluorinated porous polymers and particles by polymerizing the oil phase. These fluorinated porous polymers show excellent thermal stability and, due to the hydrophobicity and porous structure, applications in the field of oil/water separation can be achieved

A Novel Estimation Method for Temperature of Magnetic Nanoparticles Dominated by Brownian Relaxation Based on Magnetic Particle Spectroscopy

This paper presents a novel method for estimating the temperature of magnetic nanoparticles (MNPs) based on AC magnetization harmonics of MNPs dominated by Brownian relaxation. The difference in the AC magnetization response and magnetization harmonic between the Fokker-Planck equation and the Langevin function was analyzed, and we studied the relationship between the magnetization harmonic and the key factors, such as Brownian relaxation time, temperature, magnetic field strength, core size and hydrodynamic size of MNPs, excitation frequency, and so on. We proposed a compensation function for AC magnetization harmonic with consideration of the key factors and the difference between the Fokker-Planck equation and the Langevin function. Then a temperature estimation model based on the compensation function and the Langevin function was established. By employing the least squares algorithm, the temperature was successfully calculated. The experimental results show that the temperature error is less than 0.035 K in the temperature range from 310 K to 320 K. The temperature estimation model is expected to improve the performance of the magnetic nanoparticle thermometer and be applied to magnetic nanoparticle-mediated hyperthermia

The organum vasculosum of the lamina terminalis and subfornical organ: regulation of thirst

Thirst and water intake are regulated by the organum vasculosum of the lamina terminalis (OVLT) and subfornical organ (SFO), located around the anteroventral third ventricle, which plays a critical role in sensing dynamic changes in sodium and water balance in body fluids. Meanwhile, neural circuits involved in thirst regulation and intracellular mechanisms underlying the osmosensitive function of OVLT and SFO are reviewed. Having specific Nax channels in the glial cells and other channels (such as TRPV1 and TRPV4), the OVLT and SFO detect the increased Na+ concentration or hyperosmolality to orchestrate osmotic stimuli to the insular and cingulate cortex to evoke thirst. Meanwhile, the osmotic stimuli are relayed to the supraoptic nucleus (SON) and paraventricular nucleus of the hypothalamus (PVN) via direct neural projections or the median preoptic nucleus (MnPO) to promote the secretion of vasopressin which plays a vital role in the regulation of body fluid homeostasis. Importantly, the vital role of OVLT in sleep-arousal regulation is discussed, where vasopressin is proposed as the mediator in the regulation when OVLT senses osmotic stimuli

An indirect strong trigger circuit of thyristor for high voltage and large current pulse discharge

In application of high voltage and large current discharge, thyristor series is widely used as main switch of discharge circuit. If the thyristor conducts slowly, a large number of Joule heat will be produced in chip which leads the thyristor damaged. When thyristors are working in series mode, if the conduction time of thyristors are not consistent, the slower conduction thyristor will be subject to high voltage and breakdown, so the thyristor series must be triggered fast and synchronously. For the above problems, an indirect and strong trigger circuit of thyristor for high voltage and large current pulse discharge was proposed. The circuit uses indirect light trigger method, and in the trigger circuit, trigger signals of thyristor series are controlled by the same control signal through the optical fiber, strong trigger pulse current is produced after photoelectric conversion, so as to realize fast and reliable conduction and synchronization for thyristors. The experimental results show that the circuit can realize reliable trigger of thyristor series, trigger pulse width time is adjustable, and discharge voltage is 9 kV and discharge current is up to 32 kA, which meets application requirement of pulse discharge power supply module

Determinants of Buying Produce on Short-Video Platforms: The Impact of Social Network and Resource Endowment—Evidence from China

In the wake of the COVID-19 pandemic, selling by short video has become a new online selling model that enhances the communication between buyers and sellers. Therefore, it is necessary to identify the key factors influencing consumers’ purchase of agricultural products on short-video platforms. Additionally, it is also important to figure out the influencing mechanism and action path. Specifically, based on the ‘Stimulus-Organism-Response (SOR)’ framework and structural equation model, we delineate and empirically test hypotheses regarding the effects of key components on consumers’ purchase intentions and behaviors. The key components refer to three external stimuli of consumers’ social network, sellers’ resource endowment, and both sides’ infrastructure development levels. Simultaneously, we analyze the mediating role of consumers’ perceived value and perceived risk between external stimuli and consumers’ purchase intentions. This paper argues that short-video merchants improving the influence of their stores and platforms strengthening supervision and management are the keys to ensuring stable growth in consumers’ willingness to purchase agricultural products sold on short videos and promoting the development of the short-video live industry

Fleets of commercial vehicles

Global warming has become a significant issue in the world today. Although several other gases contribute a more substantial proportion to global warming, carbon emissions are the hottest focus of global warming due to their large volume and prevalence in everyday life. The development of new energy vehicles has been given a significant boost to address and control the severe pollution problems associated with carbon emissions. In describing China’s 14th Five-Year Plan, the construction of an ecological civilization is proposed to be continuously improved. In particular, there are specific targets for the technological transformation of vehicles and the proportion of new energy vehicles and energy-efficient vehicles, which will contribute to a low-carbon development model and environmental protection. The purpose of this report is to compare the carbon emissions of three types of vehicles to estimate the effects of low-carbon technological transformation and promote technological progress in new energy vehicles while providing data to support the formulation of future relevant policies