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  • Authors: Jean-Philippe, Lessard; Kaname, Matsue; Akitoshi, Takayasu;  Advisor: -;  Co-Author: - (2023)

    In this paper, blow-up solutions of autonomous ordinary differential equations (ODEs) which are unstable under perturbations of initial points, referred to as saddle-type blow-up solutions, are studied. Combining dynamical systems machinery (e.g., compactifications, timescale desingularizations of vector fields) with tools from computer-assisted proofs (e.g., rigorous integrators, the parameterization method for invariant manifolds), these blow-up solutions are obtained as trajectories on local stable manifolds of hyperbolic saddle equilibria at infinity. With the help of computer-assisted proofs, global trajectories on stable manifolds, inducing blow-up solutions, provide a global pi...
  • Authors: Shefaly, Shorey; Emily, Ang; s. Syamikar Baridwan;  Advisor: -;  Co-Author: - (2022)

    The COVID-19 pandemic has disrupted the lives of many. Particularly, nursing students experience greater stress as their normal curriculum is interrupted and some of them face the risk of being infected as frontline workers. Nursing faculty members may face similar struggles, in addition to developing teaching materials for online learning. Thus, it is important to examine the faculty members' and students' views on their ability to adapt during the pandemic to obtain a holistic view of how learning and training has been affected
  • Authors: Shefaly, Shoreya; Emily, Ang; Ns. Syamikar, Baridwan;  Advisor: -;  Co-Author: - (2022)

    The COVID-19 pandemic has disrupted the lives of many. Particularly, nursing students experience greater stress as their normal curriculum is interrupted and some of them face the risk of being infected as frontline workers. Nursing faculty members may face similar struggles, in addition to developing teaching materials for online learning. Thus, it is important to examine the faculty members' and students' views on their ability to adapt during the pandemic to obtain a holistic view of how learning and training has been affected
  • Authors: Inter-American Development Bank;  Advisor: -;  Co-Author: - (2016)

    Why should people - and economies - save? This book on the savings problem in Latin America and the Caribbean suggests that, while saving to survive the bad times is important, saving to thrive in the good times is what really counts. People must save to invest in health and education, live productive and fulfilling lives, and make the most of their retirement years. Firms must save to grow their enterprises, employ more workers in better jobs, and produce quality goods. Governments must save to build the infrastructure required by a productive economy, provide quality services to their citizens, and assure their senior citizens a dignified, worry-free retirement. In short, countries ...
  • Authors: Fitzgerald, Brian Stol; Klaas, Jan Minör; Sten Cosmo, Henrik;  Advisor: -;  Co-Author: - (2017)

    This book is a product of a research project that tackled one of the key challenges currently facing the software industry in Europe, and indeed worldwide, namely, how do we transform our organization as software increasingly becomes a critical part of our business? How can we support the digitalization of assets and offerings? This book presents the Scaling Management Framework (SMF), which is unique in the sense that it supports the above transformation in three domains: 1) products systems & services, 2) organization & business, and 3) methods & processes. These domains are interdependent and are integrated into a single model in the SMF.
  • Authors: Li, Jiayan; Xu, Tao; Gu, Xiaoyu;  Advisor: -;  Co-Author: - (2023)

    The burgeoning field of digital humanities has provided important modern technological means for text mining in literary works. Chinese classical poetry, as a treasure in the world’s artistic treasury, holds significant value in recognizing the heritage of world culture. In this study, taking the 1589 Tang poems from the Tang Poetry Road in Eastern Zhejiang as an example, we constructed a research framework that explores the aesthetics of classical Chinese poetry landscapes and spatial imagery at the urban agglomeration scale by utilizing geographic and analytical tools such as Python programming, Gephi co-occurrence semantic networks, and GIS kernel density analysis. The framework ex...
  • Authors: Isaac A., Broudy; Sebastian, Eterović;  Advisor: -;  Co-Author: - (2023)

    Given a subfield F of C, we study the linear disjointess of the field E generated by iterated exponentials of elements of F¯¯¯¯, and the field L generated by iterated logarithms, in the presence of Schanuel’s conjecture. We also obtain similar results replacing exp by the modular j-function, under an appropriate version of Schanuel’s conjecture, where linear disjointness is replaced by a notion coming from the action of GL2 on C . We also show that for certain choices of F we obtain unconditional versions of these statements.
  • Authors: Julián, Espinosa-Giménez; Vanessa, Paredes-Gallardo; María Dolores, Gómez-Adrián;  Advisor: -;  Co-Author: - (2023)

    Oral implantology is a science in constant evolution, with a considerable number of articles being published every year in scientific journals. Publications can be analyzed through bibliometric analysis, thus observing the evolution and trends of the articles published in the journal. To evaluate, through bibliometric analysis, the scientific production of Clinical Implant Dentistry and Related Research (CIDRR) and its evolution and trends in the last 5 years (2016–2020).All articles published in CIDRR in the last 5 years were reviewed and classified according to the year of publication, volume, number, the number of authors, demographic data of the first and last author, the geograph...
  • Authors: Ambra, Galeazzo; Toloue, Miandar; Michela, Carraro;  Advisor: -;  Co-Author: - (2023)

    Companies play a central role in the achievement of Sustainable Development Goals (SDGs); as such, they face institutional pressures to increase their engagement with SDGs. However, given the complexity of SDGs, it is unclear whether these pressures lead firms to adopt engagement approaches that address a few goals or the whole set of 17, and if that choice has any subsequent effect on financial performance. To shed light on these issues, this research draws on the neo-institutional theory to investigate whether two institutional determinants—industry type and country of origin—affect SDG engagement and whether such engagement improves financial performance. Based on a content analysi...
  • Authors: Gorka, Guardiola-Múzquiz; Enrique, Soriano-Salvador;  Advisor: -;  Co-Author: - (2023)

    Traditional local tamper-evident logging systems use cryptographic ratchets. In previous works, we presented SealFS (from now on, SealFSv1), a system that follows a radically different approach for local tamper-evident logging based on keystream storage. In this paper, we present a new version, SealFSv2, which combines ratcheting and storage-based log anti-tamper protection.
  • Authors: Alina, Beliavsky; Barry, Johnston; Qixuan, Li MSc; George, Tomlinson;  Advisor: -;  Co-Author: - (2023)

    Secondary infections were common among critically ill patients with viral pneumonia including COVID-19. We found no difference in the incidence of SI between COVID-19 and influenza in our cohort study, but SI in patients with COVID-19 were associated with worse clinical outcomes and increased healthcare resource use. The small cohort size precludes any causal inferences but may provide a basis for future research.
  • Authors: Tung Pham Huu;  Advisor: Tam Ninh Thi-Thanh; Chi Nguyen-Yen; Hung Tran; Viet Nguyen Dinh; Van Nhan Vo;  Co-Author: - (2021)

    In this paper, we analyze the secrecy outage probability (SOP) and the fairness of average packet transmission time for a non-orthogonal multiple access (NOMA) system which consists of a base station (BS) and two legal NOMA users in the presence of an eavesdropper (Eve). In order to extract the superimposed signal, the Eve is considered in two modes, i.e., successive interference cancellation (SIC) mode and parallel interference cancellation (PIC) mode. Accordingly, we analyze the secrecy performance of the considered system by deriving a new exact expression for SOP. Furthermore, the optimal power allocation between two legal users is determined such that the average transmission tim...
  • Authors: Máté, Gyarmati;  Advisor: -;  Co-Author: - (2023)

    Bipartite secret sharing schemes realize access structures in which the participants are divided into two parts, and all the participants in the same part play an equivalent role. Such a bipartite structure can be described by the collection of its minimal points. The complexity of a scheme is the ratio between the maximum share size given to the participants and the secret size, and the Shannon complexity of a structure is the best lower bound provided by the entropy method. Within this work, we compute the Shannon complexity of regular bipartite structures and provide optimal constructions for some bipartite structures defined by 2 and 3 points.
  • Authors: Silja, Välimets; Patricia, Pedetti; Ludovika Jessica, Virginia;  Advisor: -;  Co-Author: - (2023)

    Laccases are multicopper enzymes that oxidize a wide range of aromatic and non-aromatic compounds in the presence of oxygen. The majority of industrially relevant laccases are derived from fungi and are produced in eukaryotic expression systems such as Pichia pastoris and Saccharomyces cerevisiae. Bacterial laccases for research purposes are mostly produced intracellularly in Escherichia coli, but secretory expression systems are needed for future applications. Bacterial laccases from Streptomyces spp. are of interest for potential industrial applications because of their lignin degrading activities.
  • Authors: Attia, Qammar; Ahmad, Karim; Huansheng, Ning;  Advisor: -;  Co-Author: - (2022)

    Federated learning (FL) is a promising framework for distributed machine learning that trains models without sharing local data while protecting privacy. FL exploits the concept of collaborative learning and builds privacy-preserving models. Nevertheless, the integral features of FL are fraught with problems, such as the disclosure of private information, the unreliability of uploading model parameters to the server, the communication cost, etc. Blockchain, as a decentralized technology, is able to improve the performance of FL without requiring a centralized server and also solves the above problems. In this paper, a systematic literature review on the integration of Blockchain in fe...