Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks

We study illicit account detection on transaction networks of cryptocurrencies that are increasi_testngly important in online financial markets. The surge of illicit activities on cryptocurrencies has resulted in billions of losses from normal users. Existing solutions either rely on tedious feature engineering to get handcrafted features, or are inadequate to fully utilize the rich semantics of cryptocurrency transaction data, and consequently, yield sub-optimal performance. In this paper, we formulate the illicit account detection problem as a classification task over directed multigraphs with edge attributes, and present DIAM, a novel multi-graph neural network model to effectively detect illicit accounts on large transaction networks. First, DIAM includes an Edge2Seq module that automatically learns effective node representations preserving intrinsic transaction patterns of parallel edges, by considering both edge attributes and directed edge sequence dependencies. Then utilizing the multigraph topology, DIAM employs a new Multigraph Discrepancy (MGD) module with a well-designed message passing mechanism to capture the discrepant features between normal and illicit nodes, supported by an attention mechanism. Assembling all techniques, DIAM is trained in an end-to-end manner. Extensive experiments, comparing against 14 existing solutions on 4 large cryptocurrency datasets of Bitcoin and Ethereum, demonstrate that DIAM consistently achieves the best performance to accurately detect illicit accounts, while being efficient. For instance, on a Bitcoin dataset with 20 million nodes and 203 million edges, DIAM achieves F1 score 96.55%, significantly higher than the F1 score 83.92% of the best competitor

Whole-genome sequencing of spermatocytic tumors provides insights into the mutational processes operating in the male germline

Adult male germline stem cells (spermatogonia) proliferate by mitosis and, after puberty, generate spermatocytes that undertake meiosis to produce haploid spermatozoa. Germ cells are under evolutionary constraint to curtail mutations and maintain genome integrity. Despite constant turnover, spermatogonia very rarely form tumors, so-called spermatocytic tumors (SpT). In line with the previous identification of FGFR3 and HRAS selfish mutations in a subset of cases, candidate gene screening of 29 SpTs identified an oncogenic NRAS mutation in two cases. To gain insights in the etiology of SpT and into properties of the male germline, we performed whole-genome sequencing of five tumors (4/5 with matched normal tissue). The acquired single nucleotide variant load was extremely low (~0.2 per Mb), with an average of 6 (2±9) no

Germline TERT promoter mutations are rare in familial melanoma.

Germline CDKN2A mutations occur in 40 % of 3-or-more case melanoma families while mutations of CDK4, BAP1, and genes involved in telomere function (ACD, TERF2IP, POT1), have also been implicated in melanomagenesis. Mutation of the promoter of the telomerase reverse transcriptase (TERT) gene (c.-57 T>G variant) has been reported in one family. We tested for the TERT promoter variant in 675 multicase families wild-type for the known high penetrance familial melanoma genes, 1863 UK population-based melanoma cases and 529 controls. Germline lymphocyte telomere length was estimated in carriers. The c.-57 T>G TERT promoter variant was identified in one 7-case family with multiple primaries and early age of onset (earliest, 15 years) but not among population cases or controls. One family member had multiple primary melanomas, basal cell carcinomas and a bladder tumour. The blood leukocyte telomere length of a carrier was similar to wild-type cases. We provide evidence confirming that a rare promoter variant of TERT (c.-57 T>G) is associated with high penetrance, early onset melanoma and potentially other cancers, and explains <1 % of UK melanoma multicase families. The identification of POT1 and TERT germline mutations highlights the importance of telomere integrity in melanoma biology.The authors would like to thank the families for their willingness to participate; and Rajiv Kumar for the provision of mutation positive samples. The collection of samples in the UK population-ascertained sample set was funded by Cancer Research UK (awards C588/A19167 and C8216/A6129) and by the NIH (CA83115). The work of N.A.G. and R.v.D was supported by the Dutch Cancer Society (UL 2012-5489). D.J.A and C.D.R.E are supported by Cancer Research UK, ERC Combat Cancer and the Wellcome Trust. N.K.H is supported by a fellowship from the National Health and Medical Research Council of Australia. A.M.D. and K.A.P. were supported by CRUK grant (C8197/A16565) and The Isaac Newton Trust. K.M.B. is supported by the Intramural Research Program of the Division of Cancer Epidemiology and Genetics; National Cancer Institute; National Institutes of Health.This is the final version of the article. It first appeared from Springer via http://dx.doi.org/10.1007/s10689-015-9841-

The EQ-5D and EQ-HWB fit the perceptions of quality of life from a Chinese perspective:a concept mapping study

Background: The escalating globalization of health assessments underscores a pivotal challenge: Do Quality of Life (QoL) instruments, developed primarily in Western contexts, accurately reflect the perspectives of non-Western populations? This study evaluates the alignment of EQ-5D and EQ-HWB items with QoL dimensions identified in Chinese literature, and compares QoL perceptions between Chinese residents and those living abroad who may be influenced by Western values. Methods: This study employed three successive rounds of participant recruitment to refine the concept mapping process. Initially, 13 bilingual QoL experts in the Netherlands piloted the methodology, providing feedback on item translation and expression. Subsequently, 18 Chinese expatriates in the Netherlands, with partial education abroad, reviewed the revised materials to represent perspectives influenced by Western culture. Finally, 20 native Chinese residents, who were born and educated in China, formed the target group. Utilizing feedback from the pilot stage, a pool of 54 QoL items derived from Chinese literature, plus an additional eight from the EQ-HWB, were assembled. The Group Concept Mapping (GCM) method was used, with participants organizing the items to reflect their interrelationships. Data were analyzed via Groupwisdom™, an online tool supporting multidimensional scaling (MDS) and cluster analysis, culminating in visual cluster rating maps that highlighted the item associations and groupings. Results: In China, a five-cluster MDS map was identified: personal abilities, family and society, physical health, mental health, and self-cognition (stress value: 0.183), with physical health prioritized. Abroad, four clusters appeared: mental health, social connections, daily activities, and physical function (stress value: 0.185), prioritizing social connections. The EQ-5D missed the "family and society" cluster in China and "social connections" abroad. In contrast, the EQ-HWB covered all clusters in both groups. Conclusions: The EQ-5D items align well with the somatic and partially with the mental clusters, while the EQ-HWB also covers the adaptation cluster and the remaining mental cluster aspects. Both instruments reflect the QoL perceptions of Chinese individuals, although EQ-5D focuses more on health than overall well-being. Cultural differences affect priorities: participants in China value physical health most, whereas those abroad emphasize social connections.</p

Differences and common ground in the frameworks of health-related quality of life in traditional Chinese medicine and modern medicine:a systematic review

Purpose: This systematic review aims to explore the conceptualization of health-related quality of life (HRQoL) in China. With HRQoL influenced by both modern medicine (MM) and traditional Chinese medicine (TCM), the study seeks to identify differences and common ground between the frameworks of MM and TCM as defined in the literature. Method: A systematic literature search was conducted across three Chinese databases and four English databases. The data was extracted including title, author(s), publication year, region, aim, method, category, and result. When sorting data, we broke down the HRQoL frameworks into concepts, domains and facets, with a focus on overlapped facets between the frameworks of MM and TCM. Results: A total of 31 studies were included. In the perspective of TCM, HRQoL is centered around three key 'concepts': (1) 'xingshentongyi' (unity of body and spirit), (2) 'tianrenheyi' (harmony between man and nature), and (3) 'qiqing' (seven emotional forms). In contrast, the MM framework comprises 'physical,' 'mental,' 'social,' and 'environment' domains. Out of the 59 unique facets identified, 28 are common to both TCM and MM, 9 specific to TCM, and 22 specific to MM. 'Appetite,' 'sleep,' and 'energy' are the most frequently mentioned facets in both frameworks. Conclusion: The concept of HRQoL in China encompasses frameworks rooted in both TCM and MM. While TCM and MM have distinct healthcare approaches, they share overlapping domains when measuring HRQoL through questionnaires. Furthermore, TCM and MM demonstrate considerable convergence in terms of HRQoL facets, showing the potential for utilizing HRQoL instruments across different cultural settings.</p

Differences and common ground in the frameworks of health-related quality of life in traditional Chinese medicine and modern medicine:a systematic review

Purpose: This systematic review aims to explore the conceptualization of health-related quality of life (HRQoL) in China. With HRQoL influenced by both modern medicine (MM) and traditional Chinese medicine (TCM), the study seeks to identify differences and common ground between the frameworks of MM and TCM as defined in the literature. Method: A systematic literature search was conducted across three Chinese databases and four English databases. The data was extracted including title, author(s), publication year, region, aim, method, category, and result. When sorting data, we broke down the HRQoL frameworks into concepts, domains and facets, with a focus on overlapped facets between the frameworks of MM and TCM. Results: A total of 31 studies were included. In the perspective of TCM, HRQoL is centered around three key 'concepts': (1) 'xingshentongyi' (unity of body and spirit), (2) 'tianrenheyi' (harmony between man and nature), and (3) 'qiqing' (seven emotional forms). In contrast, the MM framework comprises 'physical,' 'mental,' 'social,' and 'environment' domains. Out of the 59 unique facets identified, 28 are common to both TCM and MM, 9 specific to TCM, and 22 specific to MM. 'Appetite,' 'sleep,' and 'energy' are the most frequently mentioned facets in both frameworks. Conclusion: The concept of HRQoL in China encompasses frameworks rooted in both TCM and MM. While TCM and MM have distinct healthcare approaches, they share overlapping domains when measuring HRQoL through questionnaires. Furthermore, TCM and MM demonstrate considerable convergence in terms of HRQoL facets, showing the potential for utilizing HRQoL instruments across different cultural settings.</p

DiffusionRig: Learning Personalized Priors for Facial Appearance Editing

We address the problem of learning person-specific facial priors from a small number (e.g., 20) of portrait photos of the same person. This enables us to edit this specific person's facial appearance, such as expression and lighting, while preserving their identity and high-frequency facial details. Key to our approach, which we dub DiffusionRig, is a diffusion model conditioned on, or "rigged by," crude 3D face models estimated from single in-the-wild images by an off-the-shelf estimator. On a high level, DiffusionRig learns to map simplistic renderings of 3D face models to realistic photos of a given person. Specifically, DiffusionRig is trained in two stages: It first learns generic facial priors from a large-scale face dataset and then person-specific priors from a small portrait photo collection of the person of interest. By learning the CGI-to-photo mapping with such personalized priors, DiffusionRig can "rig" the lighting, facial expression, head pose, etc. of a portrait photo, conditioned only on coarse 3D models while preserving this person's identity and other high-frequency characteristics. Qualitative and quantitative experiments show that DiffusionRig outperforms existing approaches in both identity preservation and photorealism. Please see the project website: https://diffusionrig.github.io for the supplemental material, video, code, and data.Comment: CVPR 2023. Project website: https://diffusionrig.github.i