Miracle-dz/UniFAR-FTUs huggingface dataset:
Clustered 3-colouring graphs of bounded degree

<jats:p>A (not necessarily proper) vertex colouring of a graph has <jats:italic>clustering c</jats:italic> if every monochromatic component has at most <jats:italic>c</jats:italic> vertices. We prove that planar graphs with maximum degree <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink="http://www.w3. org/1999/xlink" mime-subtype="png" xlink:href="S0963548321000213_inline1. png" /> <jats:tex-math>$\Delta$</jats:tex-math> </jats:alternatives> </jats:inline-formula> are 3-colourable with clustering <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink="http://www.w3. org/1999/xlink" mime-subtype="png" xlink:href="S0963548321000213_inline2. png" /> <jats:tex-math>$O(\Delta^2)$</jats:tex-math> </jats:alternatives> </jats:inline-formula>. The previous best bound was <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink="http://www.w3. org/1999/xlink" mime-subtype="png" xlink:href="S0963548321000213_inline3. png" /> <jats:tex-math>$O(\Delta^{37})$</jats:tex-math> </jats:alternatives> </jats:inline-formula>. This result for planar graphs generalises to graphs that can be drawn on a surface of bounded Euler genus with a bounded number of crossings per edge. We then prove that graphs with maximum degree <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink="http://www.w3. org/1999/xlink" mime-subtype="png" xlink:href="S0963548321000213_inline4. png" /> <jats:tex-math>$\Delta$</jats:tex-math> </jats:alternatives> </jats:inline-formula> that exclude a fixed minor are 3-colourable with clustering <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink="http://www.w3. org/1999/xlink" mime-subtype="png" xlink:href="S0963548321000213_inline5. png" /> <jats:tex-math>$O(\Delta^5)$</jats:tex-math> </jats:alternatives> </jats:inline-formula>. The best previous bound for this result was exponential in <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink="http://www.w3. org/1999/xlink" mime-subtype="png" xlink:href="S0963548321000213_inline6. png" /> <jats:tex-math>$\Delta$</jats:tex-math> </jats:alternatives> </jats:inline-formula>. </jats:p>
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image

Semantic reconstruction of indoor scenes refers to both scene understanding and object reconstruction. Existing works either address one part of this problem or focus on independent objects. In this paper, we bridge the gap between understanding and reconstruction, and propose an end-to-end solution to jointly reconstruct room layout, object bounding boxes and meshes from a single image. Instead of separately resolving scene understanding and object reconstruction, our method builds upon a holistic scene context and proposes a coarse-to-fine hierarchy with three components: 1. room layout with camera pose; 2. 3D object bounding boxes; 3. object meshes. We argue that understanding the context of each component can assist the task of parsing the others, which enables joint understanding and reconstruction. The experiments on the SUN RGB-D and Pix3D datasets demonstrate that our method consistently outperforms existing methods in indoor layout estimation, 3D object detection and mesh reconstruction.
On the Strength of Connectivity of Inhomogeneous Random K-out Graphs

Random graphs are an important tool for modelling and analyzing the underlying properties of complex real-world networks. In this paper, we study a class of random graphs known as the inhomogeneous random K-out graphs which were recently introduced to analyze heterogeneous sensor networks secured by the pairwise scheme. In this model, first, each of the $n$ nodes is classified as type-1 (respectively, type-2) with probability $0 0$), it was recently established that achieving even 1-connectivity a.a. s. requires $K_n=\omega(1)$. Here, we provide a comprehensive set of results to complement these existing results. First, we establish a sharp zero-one law for $k$-connectivity, showing that for the network to be $k$-connected a.a. s. , we need to set $K_n = \frac{1}{1-\mu}(\log n +(k-2)\log\log n + \omega(1))$ for all $k=2, 3, \ldots$. Despite such large scaling of $K_n$ being required for $k$-connectivity, we show that the trivial condition of $K_n \geq 2$ for all $n$ is sufficient to ensure that inhomogeneous K-out graph has a connected component of size $n-O(1)$ whp.
Creating Self-Sustained Social Norms through Communication and Ostracism

This experimental study compares the effectiveness and efficiency of ostracism and communication on creating and sustaining cooperation in voluntary contribution mechanism (VCM). We find that the average contributions decline over time in the baseline VCM. There is a significant increase in the average contributions in the VCM with ostracism, and an even larger increase in the VCM with communication. Communication thus leads to more cooperation, higher efficiency and more equitable payoffs than ostracism. Such effects sustain even in the long run, after we eliminate the opportunity to ostracize or communicate. These findings suggest that social norms can form under the influence of different mechanisms and some mechanisms are better than others at creating and sustaining cooperative norms.
15 Years of Information System Design Science Research: A Bibliographic Analysis

The publication of the seminal work of Hevner et al. [34] generated a noticeable shift on the part of researchers, leading to greater interaction between research and practice, in particular through the development of Information Systems Design Science Research (ISDSR). Fifteen years later, the time appears ripe for a retrospective analysis of this research paradigm in order to understand the logic and dynamics
Same Same But Different? A Two-Foci Perspective on Trust in Information Systems

Trust is one of the most important factors driving the adoption and use of information systems. The goal of this paper is to provide a first evaluation of a conceptual piece claiming a) that users distinguish between their trust in an IS and the provider of this IS and b) that both kinds of trust are important for the success sustainable success of IS providers. To evaluate the claims, a research model is developed and evaluated using data of 234 students during the introduction of a new IS at an European university. The results provide support for both claims, since the correlation between the two trust constructs is low, and the nomological networks differ. Regarding the importance of both constructs, trust in the IS is found to have an important impact of the use of the IS, whereas trust in the provider is a major driver of the users’ loyalty.
IT Governance: Oil or Sand in the Wheels of Innovation?

The purpose of this study is to understand how IT Governance (ITG) can foster or hinder the development and roll-out of radical or disruptive IT-enabled innovations. Propositions derived from the extant literature guide the analysis of seven embedded case studies of different innovation initiatives within a single large Dutch multinational bank with various contingency factors affecting ITG across the cases. Our findings confirm and extend earlier studies that emphasize the importance of proper business-IT communication and identify challenges caused by long gatekeeping processes and by the use of novel technologies in a traditional IT landscape. Radical or disruptive innovations also add new challenges, as they often cross business lines and therefore may be exposed to a heterogeneous set of ITG mechanisms. Our study further demonstrates that these innovations demand a different approach on an IT-functional level and a reconsideration of the risk capability structure to optimize efficiency.
Autoencoder Neural Networks versus External Auditors: Detecting Unusual Journal Entries in Financial Statement Audits

With the increasing complexity of business processes in today’s organizations and the ever-growing amount of structured accounting data, identifying erroneous or fraudulent business transactions and corresponding journal entries poses a major challenge for public accountants at annual audits. In current audit practice, mainly static rules are applied which check only a few attributes of a journal entry for suspicious values. Encouraged by numerous successful adoptions of deep learning in various domains we suggest an approach for applying autoencoder neural networks to detect unusual journal entries within individual financial accounts. The identified journal entries are compared to a list of entries that were manually tagged by two experienced auditors. The comparison shows high f-scores and high recall for all analyzed financial accounts. Additionally, the autoencoder identifies anomalous journal entries that have been overlooked by the auditors. The results underpin the applicability and usefulness of deep learning techniques in financial statement audits.
Understanding Challenges and Success Factors in Creating a Data-Driven Culture

Increasingly, organizations aspire to practices of data-driven decision making. The necessary transformation to a data-driven culture poses challenges, and this paper explores these as well as success factors. The study is based on six in-depth case studies of organizations that are in different phases of their transformation towards a data-driven organization. Propositions derived from change management and digital transformation literature guide our exploration. Our findings show how challenges and responses differ across the various stages of the transformation. Challenges include resistance to new technology; rigid organizational structures; and too little focus on usable analyses. Success factors include clear communication and leading by example by top-management; showing relevant and clear results of the transformation; and openness to experimentation. A discussion of implications and future research directions rounds off the paper.
Patterns of Resource Integration in the Self-service Approach to Business Analytics

The main premise of Self-Service Business Analytics (SSBA) is to make business employees autonomous during the data analytical process. To empower business employees, organizations are decentralizing their analytical capabilities through an SSBA approach. Yet, little is known about how employees integrate resources, such as, among others, personal competencies, environment resources including technology, and to generate insights in SSBA. Based on the empirical data of a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify and explain two types of resource integration in an SSBA environment: direct and clustered resource integration (including 1st tier and 2nd tier) enabled and controlled by three types of institutions. We finally discuss some organizational implications and the meaning of each sub-type of clustered resource integration.
Mechanistic Explanations and Deliberate Misrepresentations

The philosophy of mechanisms has developed rapidly during the last 30 years. As mechanisms-based explanations (MBEs) are often seen as an alternative to nomological, law-based explanations, MBEs could be relevant in IS. We begin by offering a short history of mechanistic philosophy and set out to clarify the contemporary landscape. We then suggest that mechanistic models provide an alternative to variance and process models in IS. Finally, we highlight how MBEs typically contain deliberate misrepresentations. Although MBEs have recently been advocated as critical realist (CR) accounts in IS, idealizations (deliberate misrepresentations) seem to violate some fundamental tenets of CR and research method principles for CR. Idealizations in MBEs, therefore, may risk being regarded as flawed in IS. If it turns out that CR cannot account for idealizations, naturalism can, and it does so without extra-philosophical baggage.
Do Not Be Fooled: Toward a Holistic Comparison of Distributed Ledger Technology Designs

Distributed Ledger Technology (DLT) enables a new way of inter-organizational collaboration via a shared and distributed infrastructure. There are plenty of DLT designs (e.g., Ethereum, IOTA), which differ in their capabilities to meet use case requirements. A structured comparison of DLT designs is required to support the selection of an appropriate DLT design. However, existing criteria and processes are abstract or not suitable for an in-depth comparison of DLT designs. We select and operationalize DLT characteristics relevant for a comprehensive comparison of DLT designs. Furthermore, we propose a comparison process , which enables the structured comparison of a set of DLT designs according to application requirements. The proposed process is validated with a use case analysis of three use cases. We contribute to research and practice by introducing ways to operation-alize DLT characteristics and generate a process to compare different DLT designs according to their suit-ability in a use case.
Taking It Out on IT: A Mechanistic Model of Abusive Supervision and Computer Abuse

One salient issue in organizational information security is computer abuse. Drawing on the management literature, we identify abusive supervision as a potential factor that affects the latter. As such, this paper proposes a model that formulates why subordinates commit computer abuse in response to abusive supervision. The model focuses on the mechanism of displacing aggression in retaliating against the organization. Drawing upon neutralization and deterrence theories and grounded in appraisal theory, the model offers several propositions. Most notably, the model identifies an interplay among the relevant appraisals, the emotion of anger, neutralization, deterrence and computer abuse. The model also incorporates two conditional moderators, including supervisor’s organization embodiment and controllability. The specific propositions and implications are discussed.
The Effect of Privacy Policies on Information Sharing Behavior on Social Networks: A Systematic Literature Review

Online social networks (OSN) such as Facebook and Instagram have dramatically changed the way people operate. It however raises specific privacy concerns due to their inherent handling of personal data. The paper highlights the privacy concerns associated with OSN, strategies to protect the users’ privacy, and finally the overall effect of privacy policies on information sharing behavior on OSN. In a systematic review, we examined 51 full papers that explore privacy concerns in OSN, strategies to protect users’ privacy, and the effects of privacy policies on the users’ information sharing behavior. The overall findings disclosed that users are concerned about their identity being stolen, and how third-party applications use their information. However, privacy policies do not have a direct impact on the information sharing behavior of OSN users. The findings help researchers and practitioners better understand the impact of privacy concerns on users' information sharing behavior on OSN.
Defending Organizational Assets: A Preliminary Framework for Cybersecurity Success and Knowledge Alignment

Cybersecurity governance is a critical issue for organizations engaged in a constant struggle to protect their data, brand, customers, and other assets from malignant actors. The nature of what constitutes successful cybersecurity practices and governance, however, is not yet clear, in part because an appropriate measure for cybersecurity success is not likely to be singular or simple. In this qualitative study, we explore perspectives of cybersecurity success through interviews representing various technical and non-technical roles across a variety of organizations, then provide a preliminary framework for understanding dimensions of cybersecurity success (financial, information integrity, operational, and reputational) as well as their associated knowledge domains and alignments.
Audit of effectiveness of the government support of territorial clusters: drivers of economic growth

The article considers the audit of effectiveness as a management system element of the government participation in the formation and development of territorial clusters -- drivers of economic growth. Clusters' support activities are implemented through the government programs. Cluster development and budgetary resources allocation are under the jurisdiction of various federal ministries. However, currently, the issues of evaluating an effectiveness of using the public resources to support the development of territorial clusters are not properly studied that predetermines the relevance of the research topic. The purpose of the study is to improve the theoretical and methodological foundations of the audit of effectiveness and clarify its role in the management system of territorial clusters in the context of digitalization of information databases. The subject of the study is the process of providing government support measures for cluster formations and auditing the effectiveness of their use for managerial decisions. The study is based on strategic planning documents, reports on the implementation of the government programs, the federal budget, and Rosstat for 2008-2018, reports of the Accounts Chamber of the Russian Federation on the results of control measures posted on the portal of public and municipal financial audits. The theoretical and methodological basis of the study consists of the works of the leading Russian and foreign scientists in the field of clusters, organizing an audit of effectiveness of using public resources, and standards of government auditing. The research methodology is based on the systems approach used in studying audit of effectiveness as a part of the economy's clustering process management system. According to the results of the study, conclusions are presented on the further development of the cluster-network model of economic development, increasing the role of the audit of effectiveness of government support for territorial clusters as drivers of economic growth.
Performance evaluation and enhancement of dense wavelength division multiplexing passive optical network DWDM-PON cross-seeding system with Rayleigh backscattering mitigation

In this paper, a dense wavelength division multiplexing passive optical network (DWDM-PON) using cross seeding system is designed and evaluated. This system utilizes 16 channels with low channel spacing of 12.5 GHz. Upstream (US) capacity is enhanced to 2.5 Gb/s over 25 km single mode fiber (SMF) transmission. This optical network has a downstream (DS) capacity of 10 Gb/s. A noteworthy average bit error rate (BER) of 10-13 is achieved during system evaluation process. A successful mitigation for Rayleigh backscattering (RB) is achieved comparing to conventional bidirectional wavelength division multiplexing passive optical network (WDM-PON).
A new species of Tungurictis Colbert, 1939 (Carnivora, Hyaenidae) from the middle Miocene of Junggar Basin, northwestern China and the early divergence of basal hyaenids in East Asia

ABSTRACT We document new materials of Tungurictis Colbert, 1939, a basal hyaenid (hyena family), from the Junggar Basin in northern Xinjiang Uygur Autonomous Region, northwestern China, and recognize a new species, T. peignei, n. sp. , from the top of the Suosuoquan Formation through the top of the overlying Halamagai Formation. Associated upper and lower teeth, plus isolated lower jaws, are described, and collectively these span c. 1714 Ma in local stratigraphic sections. The new species represents the smallest and most primitive form of Tungurictis, which gave rise to T. spocki Colbert, 1939 in the middle Miocene Tunggur Formation of Inner Mongolia. These two species of Tungurictis form an East Asian clade with slightly more hypercarnivorous dentition, in contrast to hypocarnivorous species of Protictitherium Kretzoi, 1938 in Europe and western Asia. This geographic divergence may reflect environmental differences between Europe and western Asia, on the one hand, and East Asia, on another.
Leaf Structure of Microlicieae (Melastomataceae): Taxonomic and Adaptive Implications

Abstract Microlicieae is a Neotropical tribe of Melastomataceae, and most of its species are endemic to Brazil, especially in campo rupestre sites. The campo rupestre ecosystem occurs in areas with shallow soils deficient in water and nutrients, and elevations above 900 m. Foliar characters provide important structural features which are of taxonomic value for Melastomataceae. Due to the high degree of endemism, taxonomic issues, and variety of water economy strategies found in Melastomataceae, our objective was to evaluate the leaf structure in 25 species of Microlicieae, aiming to identify potentially taxonomically informative characters which may have favored the radiation and diversification of this tribe. According to our results, Lavoisiera seems to be homogeneous regarding leaf characters, while Microlicia and Trembleya are highly variable in leaf size and general structure of veins and mesophyll. The leaf xeromorphism was presumably a relevant factor in the diversification of this tribe. Rhynchantera exhibited mesomorphic leaf characters, suggesting that the emergence of these features occurred after the divergence of this group from the rest of the clade.
Users' Perceptions of an in-Home Electronic Medication Dispensing System: A Qualitative Study

Background Managing and taking multiple medications as prescribed can be a difficult task for older adults. In-home medication dispensing technologies could help enhance care. The objective of the study was to determine users’ perspectives on a medication dispensing system (MDS) in supporting medication adherence of individuals living at home with chronic conditions. Methods This analysis is a part of a randomized controlled trial on an MDS in a Western Canadian province. We interviewed participants who were recruited into the intervention group and started using an MDS. A maximum variation purposive sampling was used to select interview participants based on age, number of medications, and health conditions. Results Thirteen participants were interviewed; most participants were females (n=11) and the average age was 63.7 (SD=8.2) years with an average of 8.9 (SD=3.6) prescribed medications. The most common health conditions were hypertension, diabetes, arthritis, and anxiety and depression. Four main themes emerged from thematic analysis: MDS acceptability, MDS patient support, need for the MDS, and areas of technology improvement. Most of the participants found the MDS to be acceptable and convenient, although privacy and security was an issue for some older adults. Audio and visual reminders and pre-organized medication supported participants’ medication adherence and independence in daily routines. The perceived necessity of the MDS was split among participants with cost being one of the main concerns. Areas of technology improvement included the hard-to-open plastic medication packets and the sometimes inexact recording of medication adherence by the MDS if medications were dispensed on behalf of the patients. Conclusion The MDS is an acceptable tool for improving medication management and adherence in older adults. Increased medication adherence may lead to patient and system-level benefits.