IBM (Spain)

We study the impact of human activity patterns on information diffusion. To this end we ran a viral email experiment involving 31,183 individuals in which we were able to track a specific piece of information through the social network. We found that, contrary to traditional models, information travels at an unexpectedly slow pace. By using a branching model which accurately describes the experiment, we show that the large heterogeneity found in the response time is responsible for the slow dynamics of information at the collective level. Given the generality of our result, we discuss the important implications of this finding while modeling human dynamical collective phenomena.

This article analyses how Internet‐based technologies can help companies to: monitor their business environment online in search of potentially conflictive issues that need to be managed (issues management); to prepare a crisis communications plan that considers the Internet side of today's business landscape (crisis communications planning); to respond adequately to crises should they arise by using all available online tools (crisis response); and to establish appropriate Internet‐based actions once the crisis dies down (post‐crisis). The article also questions whether the traditional one‐way corporate approach and tone is still suitable in the new, more participative, online business environment, or whether companies should use a different tone, language, and attitude when engaging with their audiences on the Internet in a crisis situation.

The objective of this paper is to investigate the decision-making procedure for accepting or rejecting investment or financing alternatives available to the firm. The properties of the decision rules based on discounted present value and internal rate of return are studied for the class of projects described by a finite sequence of cash flows. The necessary and sufficient conditions under which the decision rules lead to unique solutions are derived. Where the decision rule does not provide a unique solution, it is necessary to define two rates: the project investment rate and the project financing rate. The extension of the project analysis in terms of the two rates permits the derivation of unambiguous decision rules for all projects. The relevance of the results is discussed in the summary.

The use of nanomaterials for the treatment of solid tumours is receiving increasing attention by the scientific community. Among them, mesoporous silica nanoparticles (MSNs) exhibit unique features that make them suitable nanocarriers to host, transport and protect drug molecules until the target is reached. It is possible to incorporate different targeting ligands to the outermost surface of MSNs to selectively drive the drugs to the tumour tissues. To prevent the premature release of the cargo entrapped in the mesopores, it is feasible to cap the pore entrances using stimuli-responsive nanogates. Therefore, upon exposure to internal (pH, enzymes, glutathione, etc.) or external (temperature, light, magnetic field, etc.) stimuli, the pore opening takes place and the release of the entrapped cargo occurs. These smart MSNs are capable of selectively reaching and accumulating at the target tissue and releasing the entrapped drug in a specific and controlled fashion, constituting a promising alternative to conventional chemotherapy, which is typically associated with undesired side effects. In this review, we overview the recent advances reported by the scientific community in developing MSNs for antitumor therapy. We highlight the possibility to design multifunctional nanosystems using different therapeutic approaches aimed at increasing the efficacy of the antitumor treatment.

The need to deal with massive data sets in many practical applications has led to a growing interest in computational models appropriate for large inputs. The most important quality of a realistic model is that it can be efficiently implemented across a wide range of platforms and operating systems. In this paper, we study the computational model that results if the streaming model is augmented with a sorting primitive. We argue that this model is highly practical, and that a wide range of important problems can be efficiently solved in this (relatively weak) model. Examples are undirected connectivity, minimum spanning trees, and red-blue line segment intersection, among others. This suggests that using more powerful, harder to implement models may not always be justified. Our main technical contribution is to show a hardness result for the "streaming and sorting" model, which demonstrates that the main limitation of this model is that it can only access one data stream at a time. Since our model is strong enough to solve "pointer chasing" problems, the communication complexity based techniques commonly used in showing lower bounds for the streaming model cannot be adapted to our model. We therefore have to employ techniques to obtain these results. Finally, we compare our model to a popular restriction of external memory algorithms that access their data mostly sequentially.

Java/sup TM/ security technology originally focused on creating a safe environment in which to run potentially untrusted code downloaded from the public network. With the latest release of the Java/sup TM/ platform (the Java/sup TM/ 2 Software Development Kit, v 1.2), fine-grained access controls can be placed upon critical resources with regard to the identity of the running applets and applications, which are distinguished by where the code came from and who signed it. However, the Java platform still lacks the means to enforce access controls based on the identity of the user who runs the code. In this paper we describe the design and implementation of the Java/sup TM/ Authentication and Authorization Service (JAAS), a framework and programming interface that augments the Java/sup TM/ platform with both user-based authentication and access control capabilities.

A computer graphic display method that produces two-dimensional perspective views of three-dimensional objects is presented. The method is applied to the reconstruction at a resolution of 2.2 nanometers of the neck of bacteriophage phi 29, obtained from transmission electron micrographs processed by the direct Fourier method. The combined use of directed illumination, reflectance models, color, and different levels of transparency provides a powerful tool for a better interpretation of the three-dimensional structure, allowing improved correlation with genetic, structural, and biochemical data.

A recent study (Rice et al., 2020) revealed overfitting to be a dominant phenomenon in adversarially robust training of deep networks, and that appropriate early-stopping of adversarial training (AT) could match the performance gains of most recent algorithmic improvements. This intriguing problem of robust overfitting motivates us to seek more remedies. As a pilot study, this paper investigates two empirical means to inject more learned smoothening during AT: one leveraging knowledge distillation and self-training to smooth the logits, the other performing stochastic weight averaging (Izmailov et al., 2018) to smooth the weights. Despite the embarrassing simplicity, the two approaches are surprisingly effective and hassle-free in mitigating robust overfitting. Experiments demonstrate that by plugging in them to AT, we can simultaneously boost the standard accuracy by 3.72%∼6.68% and robust accuracy by 0.22%∼2.03%, across multiple datasets (STL-10, SVHN, CIFAR-10, CIFAR-100, and Tiny ImageNet), perturbation types (l∞ and l2), and robustified methods (PGD, TRADES, and FSGM), establishing the new state-of-the-art bar in AT. We present systematic visualizations and analyses to dive into their possible working mechanisms. We also carefully exclude the possibility of gradient masking by evaluating our models' robustness against transfer attacks. Codes are available at https://github.com/VITA-Group/Alleviate-Robust-Overfitting.

PURPOSE: "Dry Eye is a condition produced by the inadequate interrelation between lacrimal film and ocular surface epithelium, and is caused by quantitative and qualitative deficits in one or both of them. It can be produced by one or combined etiologic causes, affecting one or several of the secretions of the glands serving the ocular surface, and producing secondary manifestations of different grades of severity". Clinicians need a practical classification to face diagnosis, prognosis and treatment. Dry eyes have many etiologies and pathogenesis, different affectation of the various dacryoglands and ocular surface epithelium, and diverse grades of severity. The specialists in xero-dacryology must know these three parameters to evaluate any case of dry eye, and to establish an adequate treatment. METHODS: To facilitate this, an open session in the 8th congress of the International Society of Dacryology and Dry Eye (Madrid, April, 2005) proposed modifying the Triple Classification of dry eye approved in the XIV congress of the European Society of Ophthalmology (Madrid, June, 2003). There was consensus of all conclusions. CONCLUSIONS: The following classification has been established: First, a classification of the etio-pathogenesis, distributed in ten groups: age-related, hormonal, pharmacologic, immunopathic, hyponutritional, dysgenic, infectious/inflammatory, traumatic, neurologic and tantalic. Second, a classification of the affected glands and tissues, which under the acronym of ALMEN includes the Aqueo-serousdeficient, Lipodeficient, Mucindeficient and Epitheliopatic dry eyes, and the Non dacryological affected exocrine glands (saliva, nasal secretion, tracheo-pharyngeal secretion, etc). And thirdly, a classification of severity, in three grades: Grade 1 or mild (symptoms without slitlamp signs), grade 2 or moderate (symptoms with reversible signs), and grade 3 or severe (symptoms with permanent signs).

This paper presents an efficient cyberphysical platform for the smart management of smart territories. It is efficient because it facilitates the implementation of data acquisition and data management methods, as well as data representation and dashboard configuration. The platform allows for the use of any type of data source, ranging from the measurements of a multi-functional IoT sensing devices to relational and non-relational databases. It is also smart because it incorporates a complete artificial intelligence suit for data analysis; it includes techniques for data classification, clustering, forecasting, optimization, visualization, etc. It is also compatible with the edge computing concept, allowing for the distribution of intelligence and the use of intelligent sensors. The concept of smart cities is evolving and adapting to new applications; the trend to create intelligent neighbourhoods, districts or territories is becoming increasingly popular, as opposed to the previous approach of managing an entire megacity. In this paper, the platform is presented, and its architecture and functionalities are described. Moreover, its operation has been validated in a case study where the bike renting service of Paris-Vélib' Métropole has been managed. This platform could enable smart territories to develop adapted knowledge management systems, adapt them to new requirements and to use multiple types of data, and execute efficient computational and artificial intelligence algorithms. The platform optimizes the decisions taken by human experts through explainable artificial intelligence models that obtain data from IoT sensors, databases, the Internet, etc. The global intelligence of the platform could potentially coordinate its decision-making processes with intelligent nodes installed in the edge, which would use the most advanced data processing techniques.

Abstract Dysphagia affects a person's ability to swallow, and it causes health problems by directly limiting nutritional intake, being the elderly the most at‐risk group and also likely to be deficient in nutrition. Diets for patients with dysphagia require textural modifications to offer soft and safe food to swallow. Puree is easily consumed by the elderly, being an alternative food preparation providing essential nutrition for people with dysphagia. In this study, we aimed to create different formulations with soy protein and agar added to potato puree to add nutritional value and end up with printable material by designing food for the elderly and people with dysphagia. Some enriched potato puree formulations were obtained by adding soy protein (3%, 5%, and 7%) and up to 0.2% agar. The use of three‐dimensional food printing allows visual customization with appeal benefits of nutritional food formulations for specific consumers. The rheology and texture profile analysis of the different formulations has been performed. According to International Dysphagia Diet Standardisation Initiative (IDDSI) scales, the texture of all modified samples was suitable for people with swallowing difficulties. The samples with agar presented a better‐printed shape and a more viscous‐like behavior than the samples with soy protein. These findings highlight that soy protein could modify the texture and, from the nutritional point of view, add value to the formulations. The addition of 0.2% agar can establish good material for designing three‐dimensional (3D)‐printed food that allows the creation of textures in accordance with the needs of the elderly and people with dysphagia.

In the United States, mental health conditions are the most common complications of pregnancy and childbirth, and suicide and overdose combined are the leading cause of death for new mothers. Although awareness of and action on perinatal mental health is increasing, significant gaps remain. Screening and treatment are widely recommended but unevenly implemented, and policies and funding do not adequately support the mental health of childbearing people. As a result, treatable perinatal mental health conditions can have long-term, multigenerational negative consequences. This article provides an overview of the perinatal mental health landscape in the United States by identifying serious gaps in screening, education, and treatment; describing recent federal and state policy efforts; highlighting successful models of care; and offering recommendations for robust and integrated perinatal mental health care.

The application of vectorization algorithms to digital images derived from natural scenes is discussed. It is argued that the fractal nature of these scenes precludes some of the savings in storage expected from vector over raster representation, although considerable savings still result. Experimental results are given. Algorithms for contour following, line thinning, and polygonal approximation well adapted to complex images are presented. Finally, the Map Manipulation System, an experimental program package designed to explore the interaction between vector and raster information, is described briefly.

Two models are discussed to account for the motion of the concentration interface in turbulent mixing layers. In the first one the interface is treated as a vortex sheet and its roll-up is studied. It is argued that this situation represents only the first stages of layer growth and another model is studied in detail in which a row of vortex cores entrains an essentially passive concentration interface with no vorticity. Both models give values of the spreading rate in approximate agreement with observations, and their relation is discussed.

For hematopoietic cell transplantation (HCT) and cellular therapy (CT), clinical patient care is localized, and practices may differ between countries and from center to center even within the same country. Historically, international guidelines were not always adapted to the changing daily clinical practice and practical topics there were not always addressed. In the absence of well-established guidelines, centers tended to develop local procedures/policies, frequently with limited communication with other centers. To try to harmonize localized clinical practices for malignant and non-malignant hematological disorders within EBMT scope, the practice harmonization and guidelines (PH&G) committee of the EBMT will co-ordinate workshops with topic-specific experts from interested centers. Each workshop will discuss a specific issue and write guidelines/recommendations that practically addresses the topic under review. To provide clear, practical and user-friendly guidelines when international consensus is lacking, the EBMT PH&G committee plans to develop European guidelines by HCT and CT physicians for peers' use. Here, we define how workshops will be conducted and guidelines/recommendations produced, approved and published. Ultimately, there is an aspiration for some topics, where there is sufficient evidence base to be considered for systematic reviews, which are a more robust and future-proofed basis for guidelines/recommendations than consensus opinion.

The classical point-vortex model for a Kármán vortex street is linearly stable only for an isolated case. This property has been shown numerically to hold for other, more complicated, models of the same flow. It is shown here that it is a consequence of the Hamiltonian structure of the model, related to the codimension of the set of matrices with a particular Jordan block structure in the space of Hamiltonian matrices, and that it can be expected to hold generically for any two-dimensional inviscid array of vortices that has back-to-fore symmetry, and that is ‘close enough’ to the point-vortex model.

The relationship between the quality of previous work experience with a coworker who was disabled, job-related expectancies of employees with disabilities, and affective reactions to employees with disabilities was investigated. Data from individuals who had worked with a coworker who was disabled were collected via an Internet-based survey. The quality of previous experience with coworkers with disabilities predicted job-related expectancies of employees with disabilities and affective reactions to employees with disabilities. More positive work experiences were associated with more positive expectancies and affective reactions. The relationship between previous experience and affective reactions was mediated by job-related expectancies. Perceptions of increased job difficulty that were attributed to a coworker who was disabled predicted less positive job-related expectancies and affective reactions.

Images obtained by an aberration-free system are digitally defocused with progressive values of defocusing. Wiener filtering restoration is applied to the defocused images, and the defocusing range for effective restoration is shown. The stability of the filters for restoring images with spatially variant defocusing is also discussed.

A boundary-layer analysis is presented for the two-dimensional nonlinear convection of an infinite-Prandtl-number fluid in a rectangular enclosure, in the limit of large Rayleigh numbers. Particular emphasis is given to the analysis of the periodic boundary layers, and on the removal of the singularities that appear near the corners of the cell. It is argued that this later step is necessary to ensure the correctness of the boundary-layer assumptions. Numerical values are obtained for the heat transfer and stress characteristics of the flow.

In the simulation of human behavior on a digital computer, one first attempts to discover the manner in which subjects (Ss) internally represent the environment and the rules that they employ for acting upon this representation. The interaction between the rules and the environmental representation over a period of time constitutes a set of processes. Processes can be expressed as flow charts which, in turn, are stated formally in terms of a computer program. The program serves as a theory which is tested by executing the program on a computer and comparing the machine's performance with S's behavior.