198,991 research outputs found
La tomba del Tifone: effetti speciali etruschi
No full textGli autori esaminano la Tomba del Tifone di Tarquinia da tre diversi punti di vista archeologici: architettura e impaginato (G. Bagnasco Gianni); pittura tombale (M. Marzullo); scelte iconografiche legate a creature mostruose (L. Perego
Antitumor Platinum(II) Hybrid Compounds Based on a Glucosylglycerol Scaffold
No full textPlatinum(II) drugs such as cisplatin, carboplatin and oxaliplatin are antineoplastic drugs
clinically available for the treatment of different kinds of cancers, including ovarian
carcinoma. However, their use is limited by the occurrence of severe systemic side effects and
resistance [1, 2]. For these reasons, the development of new platinum-based compounds
endowed with higher selectivity against cancer cells and able to overcome resistance is an
active research field. A promising strategy to pursuit these goals is the design of hybrid
platinum(II) compounds bearing bioactive ligands able to selectively target cancer cells,
improve the platinum-mediated antitumor activity and/or overcome resistance by interacting
with selected targets known for their involvement in cancer resistance [3]. In this context, due
to its peculiar structure, 2-O-β-D-glucosylglycerol (a natural compound named Lilioside B)
[4] could be efficiently used at the same time as the complexing agent of platinum(II) and as
the point of attachment of cancer involved bioactive compounds. Thus, the present
communication will show some preliminary results on the synthesis and cytotoxicity data, on
ovarian cancer cells, of a water soluble platinum(II) hybrid compound in which, similarly to
carboplatin, a properly modified 2-O-β-D-glucosylglycerol is able to complex platinum(II).
References
1. Khoury, A.; Deo, K.M.; Aldrich-Wright, J.R. J. Inorg. Biochem., 2020, 207, 111070.
2. Rottenberg, S., Disler, C., & Perego, P. Nature reviews. Cancer, 2021, 21, 37.
3. Zuccolo, M,; Arrighetti, N.; Perego, P.; Colombo, D. Curr. Med. Chem., 2022, 29, 2566.
4. Kaneda, M.; Mizutani, K.; Takahashi, Y.; Kurono, G.; Nishikawa, Y. Tetrahedron Lett., 1974, 15,
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Multiscale Molecular Modelling of ATP‐Fueled Supramolecular Polymerisation and Depolymerisation**
No full textRaw research data supporting the publication Perego C. et al., ChemSystemsChem 2021, DOI: https://doi.org/10.1002/syst.20200003
Intern experience at CH���M Hill, Inc.: an internship report
No full textIncludes author's vita"Submitted to the College of Engineering of Texas A&M University in partial
fulfillment of the requirement for the degree of Doctor of Engineering."Includes bibliographical referencesA review of the author's internship experience with CH���M HILL, Inc.
during the period September 1975 through May 1976 is presented. During this nine month
internship the author worked as an Engineer II in the Industrial Processes discipline of this
large consulting engineering firm... The author's prime responsibility was as one of three
lead design engineers on the design of a large wastewater treatment facility for a pulp mill
in Hoquiam, Washington owned by ITT Rayonier Inc. The work generally consisted of the design
of individual treatment units and associated piping and pumping. The purpose of the project
was to provide wastewater treatment capabilities that would satisfy the effluent limitations
(standards) imposed upon the mill by the State of Washington Department of Ecology and the
U.S. Environmental Protection Agency. The author's assignment also entailed necessary
interaction with the project manager and other CH���M HILL design engineers and support staff
members, the client's representatives, and representatives of two other consulting engineering
firms working on the project. Thus, the internship position at CH���M HILL provided considerable
experience coordinating the author's work with the work of other engineers, guiding the design
and administrative efforts of a support staff, and interacting regularly with the client and
other consulting firms. This broad exposure to a variety of engineering and organizational
problems provided a valuable educational experience
Simulation of thermal plant optimization and hydraulic aspects of thermal distribution loops for large campuses
No full textFollowing an introduction, the author describes Texas A&M University and its utilities system. After that, the author presents how to construct simulation models for chilled water and heating hot water distribution systems. The simulation model was used in a $2.3 million Ross Street chilled water pipe replacement project at Texas A&M University. A second project conducted at the University of Texas at San Antonio was used as an example to demonstrate how to identify and design an optimal distribution system by using a simulation model. The author found that the minor losses of these closed loop thermal distribution systems are significantly higher than potable water distribution systems. In the second part of the report, the author presents the latest development of software called the Plant Optimization Program, which can simulate cogeneration plant operation, estimate its operation cost and provide optimized operation suggestions. The author also developed detailed simulation models for a gas turbine and heat recovery steam generator and identified significant potential savings. Finally, the author also used a steam turbine as an example to present a multi-regression method on constructing simulation models by using basic statistics and optimization algorithms. This report presents a survey of the author??s working experience at the Energy Systems Laboratory (ESL) at Texas A&M University during the period of January 2002 through March 2004. The purpose of the above work was to allow the author to become familiar with the practice of engineering. The result is that the author knows how to complete a project from start to finish and understands how both technical and nontechnical aspects of a project need to be considered in order to ensure a quality deliverable and bring a project to successful completion. This report concludes that the objectives of the internship were successfully accomplished and that the requirements for the degree of Degree of Engineering have been satisfied
A Cannibalistic Approach to Grand Canonical Crystal Growth
No full textCanonical molecular dynamics simulations of crystal growth from solution suffer from severe finite-size effects. As the crystal grows, the solute molecules are drawn from the solution to the crystal, leading to a continuous drop in the solution concentration. This is in contrast to experiments in which the crystal grows at an approximately constant supersaturation of a bulk solution. Recently, Perego et al. [J. Chem. Phys. 2015, 142, 144113] showed that in a periodic setup in which the crystal is represented as a slab, the concentration in the vicinity of the two surfaces can be kept constant while the molecules are drawn from a part of the solution that acts as a molecular reservoir. This method is quite effective in studying crystallization under controlled supersaturation conditions. However, once the reservoir is depleted, the constant supersaturation conditions cannot be maintained. We propose a variant of this method to tackle this depletion problem by simultaneously dissolving one side of the crystal while letting the other side grow. A continuous supply of particles to the solution due to the crystal dissolution maintains a steady solution concentration and avoids reservoir depletion. In this way, a constant supersaturation condition can be maintained for as long as necessary. We have applied this method to study the growth and dissolution of urea crystal from water solution under constant supersaturation and undersaturation conditions, respectively. The computed growth and dissolution rates are in good agreement with those obtained in previous studies
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.
No full text"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states.
By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement.
To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports
Beyond accuracy: enhancing multiple perspectives of recommendation through multi-objective optimization and evaluation
No full textI sistemi di raccomandazione sono diventati strumenti essenziali per alleviare il problema dell’information overload, fornendo suggerimenti personalizzati in vari settori, tra cui l'e-commerce, le piattaforme di streaming e i social network. Tradizionalmente, la valutazione e l'ottimizzazione dei sistemi di raccomandazione si sono concentrate sull'accuratezza come parametro principale di successo. Sebbene l'accuratezza sia fondamentale per predire le preferenze degli utenti, essa non affronta dimensioni più ampie, cruciali per migliorare la soddisfazione degli utenti, garantire l'equità degli stakeholder e affrontare gli impatti sociali. Inoltre, quando si considerano più obiettivi, spesso sorgono conflitti, cioè il miglioramento di un obiettivo può influire negativamente sugli altri, portando a uno spettro di possibili soluzioni ottimali. Queste sfide danno origine a diverse domande critiche: Come possono i sistemi di raccomandazione evolversi per bilanciare l'accuratezza con altri obiettivi, come la diversità, la novità e l'equità, soddisfacendo al contempo le esigenze di più parti interessate, tra cui utenti, fornitori di contenuti e piattaforme? Come possiamo valutare simultaneamente l'efficacia dei sistemi di raccomandazione attraverso diversi criteri? Come si può selezionare un'unica soluzione ottimale da un insieme di compromessi? Infine, possiamo progettare un framework generico per l'ottimizzazione dei sistemi di raccomandazione che tenga conto di obiettivi multipli, spesso in conflitto tra loro? Queste domande evidenziano le principali sfide aperte nel campo della ricerca sui sistemi di raccomandazione.
Questa tesi affronta queste lacune concentrandosi su due aree principali: le metodologie per la valutazione multi-obiettivo deli sistemi di raccomandazione e le sfide associate alla progettazione di sistemi di raccomandazione multi-obiettivo. Dopo un'esplorazione approfondita del background dei sistemi di raccomandazione e dell'ottimizzazione multi-obiettivo, la tesi fornisce contributi significativi nelle seguenti aree:
(i) l'applicazione delle frontiere di Pareto per condurre una valutazione multi-obiettivo di sistemi di raccomandazione basati su grafi, concentrandosi sugli aspetti di equità;
(ii) l'introduzione di indicatori di qualità per le frontiere di Pareto per scoprire il potenziale dei sistemi di raccomandazione al di là delle tradizionali metriche di accuratezza;
(iii) lo sviluppo di un quadro analitico per valutare la sensibilità dei sistemi di raccomandazione al tuning degli iperparametri in scenari multi-obiettivo;
(iv) uno studio sulla riproducibilità che identifica le principali sfide e ambiguità nella progettazione e nella valutazione dei sistemi di raccomandazione multi-obiettivo;
(v) la proposta di una nuova strategia di selezione di soluzioni Pareto-ottimali post-hoc, adattata esplicitamente ai task di raccomandazione;
(vi) la progettazione di un framework flessibile di sistema di raccomandazione multi-obiettivo che incorpora loss functions indipendenti dagli obiettivi e consapevoli della loro magnitudine per ottenere l'ottimizzazione di diversi obiettivi di raccomandazione.Recommender Systems (RSs) have become essential tools for alleviating information overload by providing personalized suggestions across various domains, including e-commerce, streaming platforms, and social networks. Traditionally, the evaluation and optimization of RSs have centered on accuracy as the primary success metric. While accuracy is critical for predicting user preferences, it fails to address broader dimensions crucial for enhancing user satisfaction, ensuring stakeholder fairness, and addressing societal impacts. Moreover, when multiple objectives are considered, conflicts often arise, i.e., improving one objective can detrimentally affect others, leading to a spectrum of possible optima. These challenges give rise to several critical questions: How can RSs evolve to balance accuracy with other objectives, such as diversity, novelty, and fairness, while meeting the needs of multiple stakeholders, including users, content providers, and platforms? How can we simultaneously evaluate RS effectiveness across diverse criteria? How can a single optimal solution be selected from a set of trade-offs? Finally, can we design a generic framework for optimizing RSs that accounts for multiple, often conflicting objectives? These questions highlight key open challenges in the field of RS research.
This dissertation addresses these gaps by focusing on two main areas: methodologies for multi-objective evaluation of RSs and the challenges associated with designing Multi-Objective Recommender Systems (MORSs). After an in-depth exploration of the background of RSs and multi-objective optimization, the thesis makes significant contributions in the following areas:
(i) the application of Pareto frontiers to conduct a multi-objective evaluation of graph-based RSs, focusing on fairness aspects;
(ii) the introduction of quality indicators for Pareto frontiers to uncover the potential of RSs beyond traditional accuracy metrics;
(iii) the development of an analytical framework to assess the sensitivity of RSs to hyper-parameter tuning in multi-objective scenarios;
(iv) a reproducibility study that identifies key challenges and ambiguities in the design and evaluation of MORSs;
(v) the proposal of a novel, post-hoc Pareto-optimal solution selection strategy tailored explicitly for RS tasks;
(vi) designing a flexible MORS framework incorporating objective-agnostic and scale-aware loss functions to achieve optimization across diverse recommendation objectives
M-regularity and the fourier-mukai transform
No full textThis is a survey of M-regularity and its applications, expanding on lectures given by the second author at the Seattle conference, in August 2005, and at the Luminy workshop "Geometrie Algebrique Complexe", in October 2005
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