cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Central stress pathways in the development of cardiovascular disease
Creators: name: Braun, Joe
name: Patel, Mariya
name: Kameneva, Tatiana
name: Keatch, Charlotte
name: Lambert, Gavin
name: Lambert, Elisabeth
Publisher: name: Swinburne
Year: 2024

description: Purpose: Mental stress is of essential consideration when assessing cardiovascular pathophysiology in all patient populations. Substantial evidence indicates associations among stress, cardiovascular disease and aberrant brain–body communication. However, our understanding of the flow of stress information in humans, is limited, despite the crucial insights this area may offer into future therapeutic targets for clinical intervention. Methods: Key terms including mental stress, cardiovascular disease and central control, were searched in PubMed, ScienceDirect and Scopus databases. Articles indicative of heart rate and blood pressure regulation, or central control of cardiovascular disease through direct neural innervation of the cardiac, splanchnic and vascular regions were included. Focus on human neuroimaging research and the flow of stress information is described, before brain–body connectivity, via pre-motor brainstem intermediates is discussed. Lastly, we review current understandings of pathophysiological stress and cardiovascular disease aetiology. Results: Structural and functional changes to corticolimbic circuitry encode stress information, integrated by the hypothalamus and amygdala. Pre-autonomic brain–body relays to brainstem and spinal cord nuclei establish dysautonomia and lead to alterations in baroreflex functioning, firing of the sympathetic fibres, cellular reuptake of norepinephrine and withdrawal of the parasympathetic reflex. The combined result is profoundly adrenergic and increases the likelihood of cardiac myopathy, arrhythmogenesis, coronary ischaemia, hypertension and the overall risk of future sudden stress-induced heart failure. Conclusions: There is undeniable support that mental stress contributes to the development of cardiovascular disease. The emerging accumulation of large-scale multimodal neuroimaging data analytics to assess this relationship promises exciting novel therapeutic targets for future cardiovascular disease detection and prevention.
BioExcel Webinar #16 - NAFlex, a web server for the study of nucleic acid flexibility
Creators: name: Battistini, Federica
Publisher: name: Zenodo
Year: 2017
Subjects: webinar

description: Nucleic acid polymers are highly flexible entities, undergoing many conformational alterations and their structural polymorphic nature depends on the sequence and on external environmental conditions or the presence of ligands. Experimental studies and data available in the Protein Data Bank (PDB) provide conformational information and illustrate the variety of the possible structures, but they are limited in providing information regarding flexibility. In order to explore the sequence-dependent flexibility of DNA and the effect of external factors, atomistic molecular dynamics (MD) simulations are widely used1. As computer power increases and the reliability of force fields improve, more reliable information is derived from atomistic MD simulations. Such simulations have revealed the extent, and the complexity, of DNA movements and their tight coupling to the nature and dynamics of the environment. Here we present NAFlex2, a web tool designed to facilitate the use of nucleic acid simulation tools for newcomers to the field. The server allows the user to study the flexibility of nucleic acids, either isolated or bound to other molecules. The server offers a variety of methods to explore nucleic acid flexibility, a base-pair resolution mesoscopic model and atomistic molecular dynamics simulations with a wide variety of protocols and force fields3,4. The trajectories can be obtained by simulations, or imported externally5. In the latter case, NAFlex is directly connected with the MDWeb technology6. MDWeb allows the user to set up their own MD simulation, helps the user during all the setup and equilibration steps, providing all the input files required to launch the simulations. Finally, the trajectory obtained (and uploaded) can be visualized and analyzed directly in NAFlex server, using a large number of tools, including standard Cartesian analysis, essential dynamics, helical analysis, local and global stiffness, energy decomposition, principal components and in silico NMR spectra. The server is accessible free of charge from the mmb.irbbarcelona.org/NAFlex webpage, and is integrated in the Multiscale Complex Genomics Virtual Research Environment (MuG-VRE).
Applying Learning Analytics in an Open Personal Learning Environment A quantitative approach
Creators: name: Koulocheri, Eleni
name: Soumplis, Alexandros
Publisher: name: figshare
Year: 2013
Subjects: Education

description: Every activity in the web leaves a digital trace.
Analytics are used to measure all gathered traces along with the activities and the traffic that a user provokes, aiming to exploit the application-under-analysis with an optimal way in terms of time and cost. As a result, the question about how are they applied into learning environment, raises. This paper
discusses analytics dedicated to the learning process named learning analytics. After presenting their context, and a literature review regarding this relatively new term, this paper presents a methodology that is applied the academic year 2011-12 on HOU2LEARN Environment, an open educational environment set by Hellenic Open University. This methodology consists of social network analysis along with a set of metrics that is also presented. The procedure and the outcomes of this ongoing research so far are discussed.
Practice patterns of physicians with two year residency versus one year internship training : do both roads lead to Rome?
Creators: name: Schechter, Martin T.
name: Sheps, Samuel Barry
name: Grantham, P.
name: Sizto, Ronnie.
name: Finlayson, Niall D. C.
Publisher: name: Centre for Health Services and Policy Research (CHSPR)
Year: 2014

description: In order to address the central question of practice patterns, we undertook a study designed to answer the following question: "Are there differences in patterns of practice between actively practicing physicians who have been certified after a two year family practice residency versus a matched group without certification who have completed the standard one year internship?"
A Novel Speech-Driven Lip-Sync Model with CNN and LSTM
Creators: name: Li, Xiaohong
name: Wang, Xiang
name: Wang, Kai
name: Lian, Shiguo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Sound (cs.SD)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Graphics (cs.GR)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: I.2.10; I.3.7
subject: 68T07, 68T45

description: Generating synchronized and natural lip movement with speech is one of the most important tasks in creating realistic virtual characters. In this paper, we present a combined deep neural network of one-dimensional convolutions and LSTM to generate vertex displacement of a 3D template face model from variable-length speech input. The motion of the lower part of the face, which is represented by the vertex movement of 3D lip shapes, is consistent with the input speech. In order to enhance the robustness of the network to different sound signals, we adapt a trained speech recognition model to extract speech feature, and a velocity loss term is adopted to reduce the jitter of generated facial animation. We recorded a series of videos of a Chinese adult speaking Mandarin and created a new speech-animation dataset to compensate the lack of such public data. Qualitative and quantitative evaluations indicate that our model is able to generate smooth and natural lip movements synchronized with speech.
description: This paper has been published on CISP-BMEI 2021. See https://ieeexplore.ieee.org/document/9624360
Prognoza przyszłorocznej sprzedaży dla przedsiębiorstw prowadzących działalność związaną z zatrudnieniem oraz ze sprzedażą hurtową niewyspecjalizowaną
Creators: name: Kucmin, Anna
name: Kachlicka, Ewa
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Prognoza przyszłorocznej sprzedaży dla przedsiębiorstw prowadzących działalność związaną z zatrudnieniem oraz ze sprzedażą hurtową niewyspecjalizowaną
Krótkoterminowe Planowanie Finansowe Na Przykładzie Przedsiębiorstwa Z Branży 56- Działalność Usługowa Związana Z Wyżywieniem (Short-Term Financial Planning for Selected Company in Sector 56 - Food and Beverage Service Activities)
Creators: name: Koziarski, Rafal
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Niniejszy projekt badawczy ma na celu przedstawienie strategii zarządzania środkami pieniężnymi w spółce akcyjnej, która działa w branży "restauracje i ruchome placówki gastronomiczne" (czyli w klasie 56.10 według klasyfikacji NACE). Raport przedstawia budżet gotówki i wpływ struktury kapitału na wartość firmy. Ponadto prezentuje propozycję metody zarządzania należnościami i zapasami. The present research project attempts to propose cash management strategy for public company which operates in sector "restaurants and mobile food service activities" (i.e. in class 56.10 according to the NACE classification). The report presents the cash budget and the impact of capital structure on the value of the company. In addition, the report presents a proposal for management methods of receivables and inventories.
The NICER "Reverberation Machine": A Systematic Study of Time Lags in Black Hole X-Ray Binaries
Creators: name: Wang, Jingyi
name: Kara, Erin
name: Lucchini, Matteo
name: Ingram, Adam
name: van der Klis, Michiel
name: Mastroserio, Guglielmo
name: García, Javier A.
name: Dauser, Thomas
name: Connors, Riley
name: Fabian, Andrew C.
name: Steiner, James F.
name: Remillard, Ron A.
name: Cackett, Edward M.
name: Uttley, Phil
name: Altamirano, Diego
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We perform the first systematic search of all NICER archival observations of black hole (and candidate) low-mass X-ray binaries for signatures of reverberation. Reverberation lags result from the light travel time difference between the direct coronal emission and the reflected disk component, and therefore their properties are a useful probe of the disk-corona geometry. We detect new signatures of reverberation lags in 8 sources, increasing the total sample from 3 to 11, and study the evolution of reverberation lag properties as the sources evolve in outbursts. We find that in all of the 9 sources with more than 1 reverberation lag detection, the reverberation lags become longer and dominate at lower Fourier frequencies during the hard-to-soft state transition. This result shows that the evolution in reverberation lags is a global property of the state transitions of black hole low-mass X-ray binaries, which is valuable in constraining models of such state transitions. The reverberation lag evolution suggests that the corona is the base of a jet which vertically expands and/or gets ejected during state transition. We also discover that in the hard state, the reverberation lags get shorter, just as the QPOs move to higher frequencies, but then in the state transition, while the QPOs continue to higher frequencies, the lags get longer. We discuss implications for the coronal geometry and physical models of QPOs in light of this new finding.
description: 29 pages, 21 figures
Axion-like Particles Implications for High-Energy Astrophysics
Creators: name: Galanti, Giorgio
name: Roncadelli, Marco
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We offer a pedagogical introduction to axion-like particles (ALPs) as far as their relevance for high-energy astrophysics is concerned, from a few MeV to 1000 TeV. This review is self-contained, in such a way to be understandable even to non-specialists. Among other things, we discuss two strong hints at a specific ALP that emerge from two very different astrophysical situations. More technical matters are contained in three Appendices.
description: 77 pages, 33 figures. Invited Review paper published in Universe, 8, 253 (2022)
SAYLOV TIZIMI VA UNING O'ZIGA XOS XUSUSIYATLARI
Creators: name: Qadambayeva, Ozoda
Publisher: name: Zenodo
Year: 2024

description: Mazkur maqolada saylov tizimi tushunchasi va uning mamlakat siyosiy hayotida tutgan o‘rni, bu borada amalga oshirilayotgan islohotlar, normativ-huquqiy hujjatlarimizga kiritilayotgan o‘zgartirish va qo‘shimchalar, fuqarolarning saylov huquqi, saylov o‘tkazishning asosiy prinsiplari, saylov tizimi turlari tahlil qilinadi.
Planowanie przychodów ze sprzedaży na przykładzie przedsiębiorstwa z branży inżynierii lądowej i wodnej
Creators: name: Malgorzata Barczyszyn
Publisher: name: figshare
Year: 2013
Subjects: Probability

description: Praca przedstawia prognozę przychodów ze sprzedaży na przykładzie przedsiębiorstwa z branży inżynierii lądowej i wodnej.
Quantitative and Qualitative Evaluation of a Three-Dimensional Mesoscale Numerical Model Simulation of a Sea Breeze in Complex Terrain.
Creators: name: McKendry, Ian G.
name: Steyn, Douw G.
Publisher: name: American Meteorological Society
Year: 2011

description: This study presents an evaluation of the performance of the Colorado State University (CSU) three-dimensional numerical mesoscale model. The evaluation consists of quantitative and qualitative comparisons of the model output with observed data. The observations were undertaken in the lower Fraser Valley of British Columbia, Canada on 23 August 1985 utilizing up to 23 fixed stations for anemometry, three acoustic sounders, one tethersonde and one set of instruments for determining the surface energy budget terms. The modeling covers a 24-hour period during which a wed-developed sea breeze was observed. While the results of the model evaluation apply to the single case presented, they have implications for a wide range of cases. The statistical methods of Willmott are applied to hourly averaged variables to assess the model's performance. The evaluation shows that the model is capable of providing very realistic wind and temperature fields within the broad coastal valley which makes up the bulk of the domain. The modeled mixed layer depth, surface energy budget terms and wind profiles are in good agreement with observed data. Copyright 1988 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or copyright@ametsoc.org.
Defending Against Advanced Persistent Threats using Game-Theory
Creators: name: Rass, Stefan
name: König, Sandra
name: Schauer, Stefan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Computer and information sciences

description: Advanced persistent threats (APT) combine a variety of different attack forms ranging from social engineering to technical exploits. The diversity and usual stealthiness of APT turns them into a central problem of contemporary practical system security, since information on attacks, the current system status or the attacker's incentives is often vague, uncertain and in many cases even unavailable. Game theory is a natural approach to model the conflict between the attacker and the defender, and this work investigates a generalized class of matrix games as a risk mitigation tool for an APT defense. Unlike standard game and decision theory, our model is tailored to capture and handle the full uncertainty that is immanent to APT, such as disagreement among qualitative expert risk assessments, unknown adversarial incentives and uncertainty about the current system state (in terms of how deeply the attacker may have penetrated into the system's protective shells already). Practically, game-theoretic APT models can be derived straightforwardly from topological vulnerability analysis, together with risk assessments as they are done in common risk management standards like the ISO 31000 family. Theoretically, these models come with different properties than classical game theoretic models, whose technical solution presented in this work may be of independent interest.
description: preprint of a correction to the article with the same name, published with PLOS ONE, and currently under review
Where's the government on domestic violence?
Creators: name: Strange, Carolyn
name: Mortenson, James
Publisher: name: The Australian National University
Year: 2020

description: A year ago today, Prime Minister Scott Morrison pledged his government would treat the battle against domestic violence as a matter of national security. A year on, new threats have taken centre stage. The scourge of domestic violence remains, but it is disappearing from policies designed to keep Australians safeAs a policy area, domestic violence doesn't come with big guns blazing (quite literally) as foreign threats to our national security do. But there is equivalence in the damage wrought. And history holds important lessons in how government approaches can be reimagined.
Analiza finansowa przedsiębiorstw z punktu widzenia zarządzającego przedsiębiorstwem z branży: produkcja pojazdów samochodowych, przyczep i naczep, z wyłączeniem motocykli
Creators: name: Bronowicka, Dominika
name: Ostromecka, Paulina
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Dany raport przedstawia analizę finansową dwóch przedsiębiorstw X oraz Y
z branży : produkcja pojazdów samochodowych, przyczep i naczep,
z wyłączeniem motocykli, z punktu widzenia zarządzającego przedsiębiorstwem. Ukazuje interpretacje podstawowych wskaźników płynności, zadłużenia, rentowności oraz aktywności
Decisions with Uncertain Consequences -- A Total Ordering on Loss-Distributions
Creators: name: Rass, Stefan
name: König, Sandra
name: Schauer, Stefan
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Economics (econ.GN)
subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Economics and business
subject: FOS: Computer and information sciences

description: Decisions are often based on imprecise, uncertain or vague information. Likewise, the consequences of an action are often equally unpredictable, thus putting the decision maker into a twofold jeopardy. Assuming that the effects of an action can be modeled by a random variable, then the decision problem boils down to comparing different effects (random variables) by comparing their distribution functions. Although the full space of probability distributions cannot be ordered, a properly restricted subset of distributions can be totally ordered in a practically meaningful way. We call these loss-distributions, since they provide a substitute for the concept of loss-functions in decision theory. This article introduces the theory behind the necessary restrictions and the hereby constructible total ordering on random loss variables, which enables decisions under uncertainty of consequences. Using data obtained from simulations, we demonstrate the practical applicability of our approach.
description: preprint of a correction to the article with the same name, published with PLOS ONE, and currently under review
Planowanie przychodów ze sprzedaży na przykładzie przedsiębiorstw z branży opieki zdrowotnej
Creators: name: Grzesiuk, Marek
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Prognoza przychodów ze sprzedaży przedsiębiorstwa z branzy opieki zdrowotnej z wykorzystaniem metody procentu od sprzedaży.
THE PRACTICAL IMPORTANCE OF CREATING ELECTRONIC DICTIONARIES  IN ENGLISH AND UZBEK
Creators: name: Qulmamatova, Shakhnoza
Publisher: name: Zenodo
Year: 2024

description: With the introduction of information technology (IT) into educational process the use of electronic dictionaries, mobile apps, and web applications is considered to be relevant and gains popularity. One of the primary teaching tasks is to develop the student's ability to comprehend lexical units and apply them in foreign language learning.
Financial analysis from a point of view running a company on the example of enterprises from the production industry of furniture (Company "X") and of industry of the conscription, treating and delivering water (Company "Y").
Creators: name: Rosik, Martyna
name: Śmierczyńska, Weronika
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: The following report is aimed at analysing the activity of the company from a managing point of view for them, comparing received results with sector data and recommending appropriate actions.
BioExcel Webinar #11 - Robust solutions for cryoEM fitting and visualisation of interaction space
Creators: name: van Zundert, Gydo
name: Trellet, Mikael
name: Schaarschmidt, Jörg
Publisher: name: Zenodo
Year: 2017
Subjects: webinar

description: The team from Utrecht University, as a partner in BioExcel, recently published two web portals, featuring two molecular modelling related programs: DisVis and PowerFit (dx.doi.org/10.1016/j.jmb.2016.11.032).
 DisVis allows you to visualise and quantify the information content of distance restraints between macromolecular complexes. Based on a systematic search of the 6D conformational space, DisVis highlights false positives and putative incoherent restraints within your set of restraints (dx.doi.org/doi:10.1093/bioinformatics/btv333). PowerFit automatically fits high-resolution atomic structures into cryo-EM density maps. To do so, it performs a full-exhaustive 6D cross-correlation search between the atomic structure and the density (dx.doi.org/doi:10.3934/biophy.2015.2.73). Output positions and rotations of the atomic structure, together with their high correlation values, are ranked and presented in a dynamic and interactive result page. The two new web portals offer very friendly interfaces, circumventing the installation process of the two programs while retaining the capability of customising the submission. Beyond the simple interfaces, the web portals have also been designed to submit jobs to EGI HPC/HTC resources, making specifically use of the recent GPGPU clusters available. They are both in production and accessible at: http://milou.science.uu.nl/cgi/services/DISVIS/disvis/ and http://milou.science.uu.nl/cgi/services/POWERFIT/powerfit/ In the coming webinar, the algorithms behind each program will be described by their developer, Gydo van Zundert, and the portal implementation will be presented by Mikael Trellet and Jörg Schaarschmidt. This presentation will include a live demo of the two portals. This work is supported by the West-Life (http://about.west-life.eu/), INDIGO-Datacloud (https://indigoprojects.eu/) and EGI-engage (http://www.egi.eu) European H2020 projects.
Planowanie przychodów ze sprzedaży na przykładzie przedsiębiorstwa z branży Roboty związane z budową obiektów inżynierii lądowej i wodnej.
Creators: name: Tomaszewski, Krzysztof
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: This report contains an assessment of the financial situation of the company, the planned sales revenue and an estimate of selected components of the financial statements for the following year based on the selected model financial planning.
Articulating the Female Subject: The Example of Marian Engel's Bear
Creators: name: Fee, Margery
Publisher: name: Atlantis:  A Women's Studies Journal/Journal d'etudes sur la femme
Year: 2009

description: Lou, the heroine of Marian Engel's Bear, attempts to confront the difficulties she has with male domination in a relationship with a semi-tame bear, but fails to resolve them because both female subjectivity and the patriarchy are socially constructed.
Instability of pole singularities for the Chazy equation
Creators: name: Kichenassamy, Satyanad
Publisher: name: arXiv
Year: 2022
Subjects: subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Complex Variables (math.CV)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We prove that the negative resonances of the Chazy equation (in thesense of Painlevé analysis) can be related directly to it sgroup-invariance properties. These resonances indicate in this case the instability of pole singularities. Depending on the value of a parameter in the equation, an unstable isolated pole may turn into the familiar natural boundary, or split into several isolated singularities. In the first case, a convergent series representation involving exponentially small corrections can be given. This reconciles several earlier approaches to the interpretation of negative resonances. On the other hand, we also prove that pole singularities with the maximum number of positive resonances are stable. The proofs rely on general properties of nonlinear Fuchsian equations.
Data Justice in Practice: A Guide for Developers
Creators: name: Leslie, David
name: Katell, Michael
name: Aitken, Mhairi
name: Singh, Jatinder
name: Briggs, Morgan
name: Powell, Rosamund
name: Rincón, Cami
name: Perini, Antonella
name: Jayadeva, Smera
name: Burr, Christopher
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: Databases (cs.DB)
subject: Human-Computer Interaction (cs.HC)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: The Advancing Data Justice Research and Practice project aims to broaden understanding of the social, historical, cultural, political, and economic forces that contribute to discrimination and inequity in contemporary ecologies of data collection, governance, and use. This is the consultation draft of a guide for developers and organisations, which are producing, procuring, or using data-intensive technologies.In the first section, we introduce the field of data justice, from its early discussions to more recent proposals to relocate understandings of what data justice means. This section includes a description of the six pillars of data justice around which this guidance revolves. Next, to support developers in designing, developing, and deploying responsible and equitable data-intensive and AI/ML systems, we outline the AI/ML project lifecycle through a sociotechnical lens. To support the operationalisation data justice throughout the entirety of the AI/ML lifecycle and within data innovation ecosystems, we then present five overarching principles of responsible, equitable, and trustworthy data research and innovation practices, the SAFE-D principles-Safety, Accountability, Fairness, Explainability, and Data Quality, Integrity, Protection, and Privacy. The final section presents guiding questions that will help developers both address data justice issues throughout the AI/ML lifecycle and engage in reflective innovation practices that ensure the design, development, and deployment of responsible and equitable data-intensive and AI/ML systems.
description: arXiv admin note: substantial text overlap with arXiv:2202.02776
Planowanie przychodów ze sprzedaży na przykładzie przedsiębiorstwa z branży transportowej
Creators: name: Grzebieniowska, Dominika
Publisher: name: figshare
Year: 2013
Subjects: subject: Statistics
subject: FOS: Mathematics

description: Poniższy raport przestawia prognozę przychodów ze sprzedaży na kolejny rok dla przedsiębiorstwa z branży transportowej. Wykorzystana została metoda procentu od sprzedaży na podstawie danych ze sprawozdań finansowych.
Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review
Creators: name: noman, Abdulla All
name: Akter, Umma Habiba
name: Pranto, Tahmid Hasan
name: Haque, AKM Bahalul
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: With unorganized, unplanned and improper use of limited raw materials, an abundant amount of waste is being produced, which is harmful to our environment and ecosystem. While traditional linear production lines fail to address far-reaching issues like waste production and a shorter product life cycle, a prospective concept, namely circular economy (CE), has shown promising prospects to be adopted at industrial and governmental levels. CE aims to complete the product life cycle loop by bringing out the highest values from raw materials in the design phase and later on by reusing, recycling, and remanufacturing. Innovative technologies like artificial intelligence (AI) and machine learning(ML) provide vital assistance in effectively adopting and implementing CE in real-world practices. This study explores the adoption and integration of applied AI techniques in CE. First, we conducted bibliometric analysis on a collection of 104 SCOPUS indexed documents exploring the critical research criteria in AI and CE. Forty papers were picked to conduct a systematic literature review from these documents. The selected documents were further divided into six categories: sustainable development, reverse logistics, waste management, supply chain management, recycle & reuse, and manufacturing development. Comprehensive research insights and trends have been extracted and delineated. Finally, the research gap needing further attention has been identified and the future research directions have also been discussed.
description: 28 Pages, 7 Figures, 7 Tables
Długoterminowe decyzje w zakresie finansów przedsiębiorstw na przykładzie firmy X z branży telekomunikacyjnej
Creators: name: Olszowy, Marta
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Poniższy raport przedstawia wyniki finansowe przedsiębiorstwa X z branży telekomunikacyjnej w latach 2011-2012 za pomocą analizy wskaźnikowej przedsiębiorstwa, a także za pomocą wywiadu przeprowadzonego z pracownikiem tejże firmy.
Investigating the impact of COVID-19 on Online Learning-based Web Behavior
Creators: name: Thakur, Nirmalya
name: Pradhan, Saumick
name: Han, Chia Y.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: Human-Computer Interaction (cs.HC)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: COVID-19, a pandemic that the world has not seen in decades, has resulted in presenting a multitude of unprecedented challenges for student learning across the globe. The global surge in COVID-19 cases resulted in several schools, colleges, and universities closing in 2020 in almost all parts of the world and switching to online or remote learning, which has impacted student learning in different ways. This has resulted in both educators and students spending more time on the internet than ever before, which may be broadly summarized as both these groups investigating, learning, and familiarizing themselves with information, tools, applications, and frameworks to adapt to online learning. This paper takes an explorative approach to further investigate and analyze the impact of COVID-19 on such web behavior data related to online learning to interpret the associated interests, challenges, and needs. The study specifically focused on investigating Google Search-based web behavior data as Google is the most popular search engine globally. The impact of COVID-19 related to online learning-based web behavior on Google was studied for the top 20 worst affected countries in terms of the total number of COVID-19 cases, and the findings have been published as an open-access dataset. Furthermore, to interpret the trends in web behavior data related to online learning, the paper discusses a case study in terms of the impact of COVID-19 on the education system of one of these countries.
description: Proceedings of the 7th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications (IHIET-AI 2022), Lausanne, Switzerland, April 21-23, 2022
Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China
Creators: name: Wang, Ke
name: Zhao, Yafei
name: Gangadhari, Rajan Kumar
name: Li, Zhixing
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Smart cities play a vital role in the growth of a nation. In recent years, several countries have made huge investments in developing smart cities to offer sustainable living. However, there are some challenges to overcome in smart city development, such as traffic and transportation man-agement, energy and water distribution and management, air quality and waste management monitoring, etc. The capabilities of the Internet of Things (IoT) and artificial intelligence (AI) can help to achieve some goals of smart cities, and there are proven examples from some cities like Singapore, Copenhagen, etc. However, the adoption of AI and the IoT in developing countries has some challenges. The analysis of challenges hindering the adoption of AI and the IoT are very limited. This study aims to fill this research gap by analyzing the causal relationships among the challenges in smart city development, and contains several parts that conclude the previous scholars work, as well as independent research and investigation, such as data collection and analysis based on DEMATEL. In this paper, we have reviewed the literature to extract key chal-lenges for the adoption of AI and the IoT. These helped us to proceed with the investigation and analyze the adoption status. Therefore, using the PRISMA method, 10 challenges were identified from the literature review. Subsequently, determination of the causal inter-relationships among the key challenges based on expert opinions using DEMATEL is performed. This study explored the driving and dependent power of the challenges, and causal relationships between the barriers were established.
Ernest Buckler's The Mountain and the Valley and 'that dangerous supplement'
Creators: name: Fee, Margery
Publisher: name: ARIEL
Year: 2009

description: An analysis of Ernest Buckler's novel The Mountain and the Valley using Jacques Derrida's theoretical perspectives on the nature of writing as supplement. David Canaan is a writer who dreams of writing the perfect novel: his failed dream reveals that writing cannot capture perfection or presence.
The Canadian health care system : a King's Fund interrogatory
Creators: name: Evans, Robert G., 1942-
Publisher: name: Centre for Health Services and Policy Research (CHSPR)
Year: 2014

description: In 1988, the King's Fund Institute in London initiated a project to study patterns of health care finance and delivery in several of the major industrialized countries. The project involved the preparation of a standard set of questions about system organizaton, which was sent to a health care specialist in each country who had agreed to participate in the project. The answers to these common questions (the "Background Data Set") were then assembled by staff at the King's Fund Institute, and the resulting report, Health Check: An International Comparative Study, by C. Ham, R. Robinson and M. Benzeval, will be published by the Institute in 1990. The questions posed by the King's Fund staff are quite comprehensive, and cover most of the issues which interest external observers of different countries' health care systems. Accordingly, it seemed likely that there might be a wider audience for the relatively compact description of the Canadian health care system represented by the answers to those questions. We are thus issuing the questions and answers as a Discussion Paper distributed by the UBC Health Policy Research Unit, although it is not clear whether they might also deserve publication independently of the King's Fund synthesis.
Catalysis for e-Chemistry: Need and Gaps for a Future De-Fossilized Chemical Production, with Focus on the Role of Complex (Direct) Syntheses by Electrocatalysis
Creators: name: Papanikolaou, Georgia
name: Centi, Gabriele
name: Perathoner, Siglinda
name: Lanzafame, Paola
Publisher: name: arXiv
Year: 2022
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The prospects, needs and limits in current approaches in catalysis to accelerate the transition to e-chemistry, where this term indicates a fossil fuel-free chemical production, are discussed. It is suggested that e-chemistry is a necessary element of the transformation to meet the targets of net zero emissions by year 2050 and that this conversion from the current petrochemistry is feasible. However, the acceleration of the development of catalytic technologies based on the use of renewable energy sources (indicated as reactive catalysis) is necessary, evidencing that these are part of a system of changes and thus should be assessed from this perspective. However, it is perceived that the current studies in the area are not properly addressing the needs to develop the catalytic technologies required for e-chemistry, presenting a series of relevant aspects and directions in which research should be focused to develop the framework system transformation necessary to implement e-chemistry.
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review
Creators: name: Rosendo, Daniel
name: Costan, Alexandru
name: Valduriez, Patrick
name: Antoniu, Gabriel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: The explosion of data volumes generated by an increasing number of applications is strongly impacting the evolution of distributed digital infrastructures for data analytics and machine learning (ML). While data analytics used to be mainly performed on cloud infrastructures, the rapid development of IoT infrastructures and the requirements for low-latency, secure processing has motivated the development of edge analytics. Today, to balance various trade-offs, ML-based analytics tends to increasingly leverage an interconnected ecosystem that allows complex applications to be executed on hybrid infrastructures where IoT Edge devices are interconnected to Cloud/HPC systems in what is called the Computing Continuum, the Digital Continuum, or the Transcontinuum.Enabling learning-based analytics on such complex infrastructures is challenging. The large scale and optimized deployment of learning-based workflows across the Edge-to-Cloud Continuum requires extensive and reproducible experimental analysis of the application execution on representative testbeds. This is necessary to help understand the performance trade-offs that result from combining a variety of learning paradigms and supportive frameworks. A thorough experimental analysis requires the assessment of the impact of multiple factors, such as: model accuracy, training time, network overhead, energy consumption, processing latency, among others.This review aims at providing a comprehensive vision of the main state-of-the-art libraries and frameworks for machine learning and data analytics available today. It describes the main learning paradigms enabling learning-based analytics on the Edge-to-Cloud Continuum. The main simulation, emulation, deployment systems, and testbeds for experimental research on the Edge-to-Cloud Continuum available today are also surveyed. Furthermore, we analyze how the selected systems provide support for experiment reproducibility. We conclude our review with a detailed discussion of relevant open research challenges and of future directions in this domain such as: holistic understanding of performance; performance optimization of applications;efficient deployment of Artificial Intelligence (AI) workflows on highly heterogeneous infrastructures; and reproducible analysis of experiments on the Computing Continuum.
Generalized MPI Multi-Patch Reconstruction using Clusters of similar System Matrices
Creators: name: Boberg, Marija
name: Knopp, Tobias
name: Szwargulski, Patryk
name: Möddel, Martin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Medical Physics (physics.med-ph)
subject: Image and Video Processing (eess.IV)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The tomographic imaging method magnetic particle imaging (MPI) requires a multi-patch approach for capturing large field of views. This approach consists of a continuous or stepwise spatial shift of a small sub-volume of only few cubic centimeters size, which is scanned using one or multiple excitation fields in the kHz range. Under the assumption of ideal magnetic fields, the MPI system matrix is shift invariant and in turn a single matrix suffices for image reconstruction significantly reducing the calibration time and reconstruction effort. For large field imperfections, however, the method can lead to severe image artifacts. In the present work we generalize the efficient multi-patch reconstruction to work under non-ideal field conditions, where shift invariance holds only approximately for small shifts of the sub-volume. Patches are clustered based on a magnetic-field-based metric such that in each cluster the shift invariance holds in good approximation. The total number of clusters is the main parameter of our method and allows to trade off calibration time and image artifacts. The magnetic-field-based metric allows to perform the clustering without prior knowledge of the system matrices. The developed reconstruction algorithm is evaluated on a multi-patch measurement sequence with 15 patches, where efficient multi-patch reconstruction with a single calibration measurement leads to strong image artifacts. Analysis reveals that calibration measurements can be decreased from 15 to 11 with no visible image artifacts. A further reduction to 9 is possible with only slight degradation in image quality.
Review of the Abstract: Targeted therapy in thyroid cancer
Creators: name: makedonskaia.org
Publisher: name: Zenodo
Year: 2024
Subjects: Targeted Therapy, Thyroid Cancer, Personalized Medicine, Tyrosine Kinase Inhibitors, BRAF Inhibitors, Immunotherapy, Precision Medicine, Molecular Diagnostics, Artificial Intelligence, Gene-Editing Technologies, Radioiodine Refractory, Differentiated Thyroid Cancer, Anaplastic Thyroid Cancer, Medullary Thyroid Cancer, Next-Generation Sequencing, Actionable Mutations, Drug Resistance, Combination Therapies, Tumor Microenvironment, Biomarkers.

description: The precision medicine approach to the treatment of thyroid cancer involves the creation of personalized therapeutic plans based on the genetic profile and specific features of each patient's tumor. This strategy has led to marked improvements in patient outcomes and quality of life. Over the past decade, various agents such as tyrosine kinase inhibitors, serine/threonine kinase inhibitors, B-Raf proto-oncogene (BRAF) inhibitors, mitogen-activated protein kinase (MAPK/MEK) inhibitors, neurotrophic tyrosine receptor kinase (NTRK) inhibitors, vascular endothelial growth factor receptor (VEGFR) inhibitors, redifferentiation agents, and immunotherapy agents have shown significant efficacy in the treatment of TC. These treatments are particularly useful for radioiodine-resistant (RAIR) differentiated thyroid cancer (DTC), as well as advanced, recurrent, or residual anaplastic thyroid cancer (ATC) and medullary thyroid cancer (MTC). These agents have minimal contraindications, and as their use becomes more common, there is a deeper understanding of their safety profiles. Although side effects are usually treatable, in some cases it may be necessary to stop treatment or switch to another medication. The growing arsenal of available drugs and new targets continues to expand, driven by ongoing clinical trials. Current challenges include the use of these treatments during pregnancy, the risk of haematological malignancies, geographical differences in access and cost, the development of definitive guidelines, and the management of drug resistance. Advances in molecular diagnostics, artificial intelligence, and gene-editing technologies could revolutionize the field of targeted therapies in the near future.
Suppression of Motion Artifacts Caused by Temporally Recurring Tracer Distributions in Multi-Patch Magnetic Particle Imaging
Creators: name: Gdaniec, Nadine
name: Boberg, Marija
name: Möddel, Martin
name: Szwargulski, Patryk
name: Knopp, Tobias
Publisher: name: arXiv
Year: 2022
Subjects: subject: Medical Physics (physics.med-ph)
subject: FOS: Physical sciences

description: Magnetic particle imaging is a tracer based imaging technique to determine the spatial distribution of superparamagnetic iron oxide nanoparticles with a high spatial and temporal resolution. Due to physiological constraints, the imaging volume is restricted in size and larger volumes are covered by shifting object and imaging volume relative to each other. This results in reduced temporal resolution, which can lead to motion artifacts when imaging dynamic tracer distributions. A common source of such dynamic distributions are cardiac and respiratory motion in in-vivo experiments, which are in good approximation periodic. We present a raw data processing technique that combines data snippets into virtual frames corresponding to a specific state of the dynamic motion. The technique is evaluated on the basis of measurement data obtained from a rotational phantom at two different rotational frequencies. These frequencies are determined from the raw data without reconstruction and without an additional navigator signal. The reconstructed images give reasonable representations of the rotational phantom frozen in several different states of motion while motion artifacts are suppressed.
Generalized Continuous-Time Random Walks (CTRW), Subordination by Hitting Times and Fractional Dynamics
Creators: name: Kolokoltsov, Vassili N.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Probability (math.PR)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: Functional limit theorem for continuous-time random walks (CTRW) are found in general case of dependent waiting times and jump sizes that are also position dependent. The limiting anomalous diffusion is described in terms of fractional dynamics. Probabilistic interpretation of generalized fractional evolution is given in terms of the random time change (subordination) by means of hitting times processes.
The Central Limit Theorem for the Smoluchovski Coagulation Model
Creators: name: Kolokoltsov, Vassili
Publisher: name: arXiv
Year: 2007
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: The general model of coagulation is considered. For basic classes of unbounded coagulation kernels the central limit theorem (CLT) is obtained for the fluctuations around the dynamic law of large numbers (LLN). A rather precise rate of convergence is given both for LLN and CLT.