Legal scholars highlight the tensions that exist between different classes of shareholders in startups. We model a startup owned by undiversified investors with heterogeneous capital contributions ...and risk preferences. A social planner runs the firm on behalf of all investors. We compare investors’ expected utility with a hypothetical first-best decentralized benchmark. The startup’s optimal investment policy is procyclical and a time-varying weighted average of shareholders’ optimal investment policies. The optimal contracts issued to investors are tailor-made, interdependent, and include equity claims resembling preferred stock with heterogeneous payout caps, leading to a complex capitalization table as more investors join the startup. This paper was accepted by Will Cong, finance. Funding: This work was supported by the Cambridge Endowment for Research in Finance and Keynes Fellowship. Supplemental Material: The online appendices and data files are available at https://doi.org/10.1287/mnsc.2022.01724 .
Interpretable convolutional neural networks (CNNs) are key to reliable industrial fault diagnosis by elucidating model decision-making processes and extracting high-dimensional data features. ...Presently, interpretable CNNs include time-frequency transformation methods in convolutional layers, but their hyper-parameter setting (e.g. window size, overlap, type of wavelet) depends largely on expert knowledge. This paper focuses on the problem of wavelet type selection, we propose a Wavelet Shrinkage Convolutional Network (GP-WSCN) based on a group policy to solve this problem. Initially, GP-WSCN creates a pre-trained network with wavelet convolution layers and soft-threshold learning, quickly providing a basic prior for diverse wavelet waveforms. This prior knowledge is combined with reinforcement learning, allowing GP-WSCN to independently select suitable wavelet convolution kernels, reducing expert dependency. The pre-trained network is then repurposed and fine-tuned to selected kernels for swift GP-WSCN deployment in fault diagnosis tasks. Experimental results confirm the diagnostic precision and interpretability of GP-WSCN, as proven through multiple trials.
Incidences of noncompliance with COVID-19 prevention and control policies have occurred worldwide, increasing the risk to public safety and making epidemic control more difficult. We applied the ...approach-inhibition theory of power perception to investigate the underlying mechanisms
and boundary conditions of the relationship between individuals' power perception and their prevention and control policy compliance. This study collected data from 303 participants in 45 counties (districts) spanning one province in China. Results show that individuals' sense of power was
negatively related to their prevention and control policy compliance, with risk perception mediating and group policy control moderating this relationship. The findings provide a reference for assessing the effectiveness and relevance of government epidemic prevention and control. Implications
for research and practice are discussed.
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DOBA, FSPLJ, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Windows Group Policy has been one of the most powerful yet underutilized tools in our corporate networks for many years. It is an incredible centralized management tool, and almost everyone already ...has it up and running in their environments.This book will help you become familiar with what Group Policy has to offer and learn how to make.
During long-distance flight, unmanned aerial vehicles (UAVs) need to perform cross-domain authentication to prove their identity and receive information from the ground control station (GCS). ...However, the GCS needs to verify all drones arriving at the area it is responsible for, which leads to the GCS being unable to complete authentication in time when facing cross-domain requests from a large number of drones. Additionally, due to potential threats from attackers, drones and GCSs are likely to be deceived. To improve the efficiency and security of cross-domain authentication, we propose an efficient blockchain-based cross-domain authentication scheme for the Internet of Drones (BCDAIoD). By using a consortium chain with a multi-chain architecture, the proposed method can query and update different types of data efficiently. By mutual authentication before cross-domain authentication, drones can compose drone groups to lighten the authentication workload of domain management nodes. BCDAIoD uses the notification mechanism between domains to enable path planning for drones in advance, which can further improve the efficiency of cross-domain authentication. The performance of BCDAIoD was evaluated through experiments. The results show that the cross-domain authentication time cost and computational overhead of BCDAIoD are significantly lower those of than existing methods when the number of drones is large.
According to the characteristics of firebricks palletization and the structure of the manipulator, this paper puts forward the concept of using group policy to palletize firebricks by robot. On this ...basis, the concept of “Horizontal bar “and” Horizontal slice " is introduced with features of stacking firebricks. Then mathematical model is constructed to palletize Firebricks in shortest time. The firebrick robot palletising optimization model has been applied in the enterprise.
In the current economic realities, the forms of integration business entities through the creation of enterprise groups (EGs), reorganized from industry structures or created a new by acquiring ...existing companies, are becoming increasingly relevant. The economic activity of the enterprise is carried out in the conditions of economic instability and improvement of the system economic relations, which imposes fundamentally new requirements in the sphere of managing the interaction of enterprises. Under these conditions, the successful development of the enterprises and often their very existence depend both on the effective use of the management systems themselves and on the competence of the management decisions made. Consequently, for decision makers and managers of Group Policy (GP), the problem of evaluating the development of GP and promptly making sound management decisions in an unstable and rapidly changing economic environment is considered a particular relevance. One of the promising ways to solve this problem is the development of decision support systems (DSS), using scientifically based decision-making methods based on modern mathematical apparatus and computer equipment. At present, the approach to managing the development of the EGs is associated with the representation of the latter as a multi-agent system (MAS). The DSS does not replace, but complements the existing management systems in the EGs, interacting with them, and uses in its work information about the functioning of EGs units.
Implementation of Two Layered DLP Strategies Arsalan Paracha, Muhammad; Sheeraz, Muhammad; Chai, Yuanyuan ...
2022 International Conference on Cyber Warfare and Security (ICCWS),
2022-Dec.-7
Conference Proceeding
Data Loss Prevention or DLP system, is a cybersecurity system that identifies and stops data breaches. Organizations use it for internal security and regulatory compliance since it prevents sensitive ...data from being extracted. As organizations explore strategies to decrease the danger of sensitive data leaking outside the firm, data loss prevention solutions are becoming more popular. A DLP solution is built on a set of core technologies that enable its engine to properly detect the sensitive data and protect that data from possible insider breaches which businesses must safeguard and take remedial action to avert accidents. This paper gives a comprehensive overview of different DLP solutions and their effectiveness followed by our own indigenous and standalone DLP system design and implementation. It begins by providing a solution to the aforementioned difficulties with universal serial bus (USB) memory devices. Then, at the application level, it displays an email filter to avoid the erroneous transmission of e-mail containing sensitive information and finally its integration with a SIEM solution.
Group policies provide a way to configure settings for a group of users or computers and have those settings replicated throughout an organization or enterprise. This chapter introduces the following ...points: understanding Windows 10 group policies; editing group policies; deploying group policies; and viewing new Windows 10 group policies on a client. With group policies, user can change settings using the Group Policy Editor. The Group Policy Editor modifies policy on a local computer. The Group Policy Editor modifies policy on a local computer. To edit policies for domains, user uses the Group Policy Management Console (GPMC). GPMC can modify computers in a site or computers in an Organizational Unit (OU). For group policies user want to edit through the GPMC on Windows 10, user first need to download the Administrative Templates (.admx) for Windows 10 from Microsoft. User then can run the GPMC and edit group policies with these templates for multiple computers.
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