Exploring Drivers of Sustained Participation in Decentralized Autonomous Organizations

Continuous developments in information technology and fast, constantly changing environments are challenging our notions of work within organizations. Researchers and practitioners often cite less-hierarchical organizations, which radically decentralize decision authority, as a possible solution to this issue. While some concepts such as Holacracy are captured in the literature under the terms ‘future of work’ or ‘reinventing organizations,’ so-called Decentralized Autonomous Organizations (DAOs) can provide researchers with additional possibilities to test and challenge assumptions about work and organizations. However, DAOs heavily rely on their members\u27 active participation to collectively manage, improve, and govern the organization, which introduces a risk to the organization. Therefore, our work aims at uncovering the drivers for participation within DAOs. We plan to contribute to research by opening up a new facet of participatory drivers in less-hierarchical organizations. From a practitioner\u27s perspective, our insights can be helpful in supporting their members’ active participation

Examining the Use of Blockchain Technology in Virtual Worlds: A Socio-Technical Systems Perspective

Recent developments, including the rebranding of Facebook to Meta, have led to large-scale media attention on the phenomenon of the Metaverse. Although not being a new phenomenon in Information Systems (IS) research, many intricacies in virtual worlds remain unexplored. In particular , prior research has directed attention to users‘ lack of ownership rights, creating tension between the creator and user. To solve this tension, we argue that blockchain technology can potentially help to structure ownership rights. Therefore, our research explores a blockchain-based Metaverse through the socio-technical system lens. Our study highlights that, in the underlying case, the use of blockchain technology goes beyond the application of Non- Fungible Tokens (NFTs) and can also be found in the general organizational structure, blurring the boundaries of existing stakeholders. Our work contributes to research by providing a gaze into blockchain-based Metaverses and highlighting the potential application and benefit of the technology in virtual worlds

Exploring Consumers Risk Mitigation Strategies in E-Commerce: A Qualitative Study of High-Risk Transactions

The recent Covid-19 pandemic has led to a sharp increase in online shopping. While the promises of shopping on e-commerce platforms are vast, there are simultaneously novel and exacerbated risks compared to traditional brick-and-mortar retail purchases. Existing research outlines numerous risk dimensions associated with online shopping. In addition, scholars examine the underlying reasons for consumers' risk perceptions, such as the inability of physical quality checks. However, there is a lack of research investigating how consumers attempt to navigate and mitigate risk perceptions when confronted with a high-risk online transaction. To address this research gap, we conducted 18 semi-structured interviews with consumers who had recently performed an online transaction associated with high-risk perceptions. Our study contributes to the existing literature by identifying an affective and cognitive risk mitigation strategy and respective underlying mechanisms. Notably, we find that online social networks play a central role in shaping consumers' risk perceptions

Comment on Intrinsic and dynamically generated scalar meson states

The scalar-meson assignments of Shakin and Wang in a generalized Nambu--Jona-Lasinio model are contradicted by recent experimental information. Also the strict distinction made by these authors between ``intrinsic'' and ``dynamically generated'' states is contested, as well as a number of other statements.Comment: 7 pages, (v2 cosmetics, v3 corrections in one reference), to be published in Phys.Rev.

Impact of the Scheduling Strategy in Heterogeneous Systems That Provide Co-Scheduling

ABSTRACT In recent years, the number of processing units per compute node has been increasing. In order to utilize all or most of the available resources of a high-performance computing cluster, at least some of its nodes will have to be shared by several applications at the same time. Yet, even if jobs are co-scheduled on a node, it can happen that high performance resources remain idle, although there are jobs that could make use of them (e. g. if the resource was temporarily blocked when the job was started). Heterogeneous schedulers, which schedule tasks for different devices, can bind jobs to resources in a way that can significantly reduce the idle time. Typically, those schedulers make their decisions based on a static strategy. In this paper, we investigate the impact if a heterogeneous scheduler allows modifications of the strategies at runtime. For a set of applications, we determine the makespan and show how it is influenced by four different scheduling strategies. A well-chosen strategy can result in a speedup of more the 2.5 in comparison to other strategies

Two distinct secretory vesicle–priming steps in adrenal chromaffin cells

The calcium-dependent activator proteins for secretion, CAPS1 and CAPS2, facilitate syntaxin opening during synaptic vesicle priming

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin