Dysproteinemia-Associated Kidney Diseases: Clinicopathological Correlations

Introduction: Dysproteinemia-associated kidney diseases can have diverse clinical and histological presentation but not all patients with monoclonal gammopathy have Monoclonal Gammopathy of Renal Significance (MGRS) and some have other causes for kidney lesions. Therefore, kidney biopsy is essential to make this diagnosis. We made a retrospective study, which aimed to: 1. Identify dysproteinemiaassociated kidney lesions; 2. Establish clinicopathological correlations of patients with those lesions and 3. Identify kidney and patient survival predictors. Methods: A retrospective, observational chart review of kidney biopsies performed, between January 2015 and February 2020, in three Portuguese Hospitals, to a total of 39 patients, with kidney lesions associated with monoclonal gammopathy, was undertaken. Results: The three main dysproteinemic kidney diseases identified were cast nephropathy, AL amyloidosis and Monoclonal Immunoglobulin Deposition Disease (MIDD), with different features among them. Only three patients fulfilled the criteria to Monoclonal Gammopathy of Renal Significance (MGRS). In regard to treatment, we verified that most of our patients were treated with chemotherapy. Unfortunately, only four recovered, either partially or completely. The mean kidney survival since kidney biopsy was 29,23 months and the mean patient survival since diagnosis was 24,46 months. Some clinical and pathologic features correlated to lowerkidney survival: acute tubular necrosis, cast nephropathy, Thrombotic Microangiopathy (TMA), haemoglobin and estimated Glomerular Filtration Rate (eGFR). Previous Nephrology follow-up correlated with higher kidney survival. Only eGFR was associated with lowerpatient survival.info:eu-repo/semantics/publishedVersio

Un estudi sobre interdisciplinarietat, professions socials i acció socioeducativa

Aquest article és el relat d'un seguit d'accions encetades per donar resposta a una serie de preguntes referides a l'àmbit de la intervenció socioeducativa. El que volíem era conèixer I'estat de la interdisciplinarietat en I'àmbit de les accions socioeducatives professionals. En quin grau i de quina manera conflueixen les diferents disc iplines en I'acció social o socioeducativa? Quines professions i professionals d'alló social van desenvolupant aquestes accions? Quines relacions -de col·laboració; de confrontació; d'aïllament, etc.- es produeixen entre elles? I, per últim, ens preguntàvem: existeix una consciència entre els i les professionals sobre la necessitat -o no- d'aquesta interdisciplinarietat

ME3CA - Monitoring environment exercise and emotion by a cognitive assistant

The elderly population has increased dramatically in today’s society. This fact implies the need to propose new policies of attention to this group but without increasing social spending. Currently, there is a need to promote the care of elderly people in their own homes, avoiding being transferred to saturated residences. Bearing this in mind, in recent years numerous approaches have tried to offer solutions in this sense using the continuous advances in new information and communication technologies. In this way, this article proposes the employment of a personal assistant to help the elderly in the development of their daily life activities. The proposed system, called ME3CA, is a cognitive assistant that involves users in rehabilitating exercise, consisting of a sensorization platform and different integrated decision-making mechanisms. The system tries to plan and recommend activities to older people trying to improve their physical activity. In addition, in the decision making process the assistant takes into account the emotions of the user. In this way, the system is more personalized and emotionally intelligent.- (undefined

Climate Dynamics: A Network-Based Approach for the Analysis of Global Precipitation

Precipitation is one of the most important meteorological variables for defining the climate dynamics, but the spatial patterns of precipitation have not been fully investigated yet. The complex network theory, which provides a robust tool to investigate the statistical interdependence of many interacting elements, is used here to analyze the spatial dynamics of annual precipitation over seventy years (1941-2010). The precipitation network is built associating a node to a geographical region, which has a temporal distribution of precipitation, and identifying possible links among nodes through the correlation function. The precipitation network reveals significant spatial variability with barely connected regions, as Eastern China and Japan, and highly connected regions, such as the African Sahel, Eastern Australia and, to a lesser extent, Northern Europe. Sahel and Eastern Australia are remarkably dry regions, where low amounts of rainfall are uniformly distributed on continental scales and small-scale extreme events are rare. As a consequence, the precipitation gradient is low, making these regions well connected on a large spatial scale. On the contrary, the Asiatic South-East is often reached by extreme events such as monsoons, tropical cyclones and heat waves, which can all contribute to reduce the correlation to the short-range scale only. Some patterns emerging between mid-latitude and tropical regions suggest a possible impact of the propagation of planetary waves on precipitation at a global scale. Other links can be qualitatively associated to the atmospheric and oceanic circulation. To analyze the sensitivity of the network to the physical closeness of the nodes, short-term connections are broken. The African Sahel, Eastern Australia and Northern Europe regions again appear as the supernodes of the network, confirming furthermore their long-range connection structure. Almost all North-American and Asian nodes vanish, revealing that extreme events can enhance high precipitation gradients, leading to a systematic absence of long-range patterns

DNA barcoding identifies a cosmopolitan diet in the ocean sunfish

The ocean sunfish (Mola mola) is the world’s heaviest bony fish reaching a body mass of up to 2.3 tonnes. However, the prey M. mola consumes to fuel this prodigious growth remains poorly known. Sunfish were thought to be obligate gelatinous plankton feeders, but recent studies suggest a more generalist diet. In this study, through molecular barcoding and for the first time, the diet of sunfish in the north-east Atlantic Ocean was characterised. Overall, DNA from the diet content of 57 individuals was successfully amplified, identifying 41 different prey items. Sunfish fed mainly on crustaceans and teleosts, with cnidarians comprising only 16% of the consumed prey. Although no adult fishes were sampled, we found evidence for an ontogenetic shift in the diet, with smaller individuals feeding mainly on small crustaceans and teleost fish, whereas the diet of larger fish included more cnidarian species. Our results confirm that smaller sunfish feed predominantly on benthic and on coastal pelagic species, whereas larger fish depend on pelagic prey. Therefore, sunfish is a generalist predator with a greater diversity of links in coastal food webs than previously realised. Its removal as fisheries’ bycatch may have wider reaching ecological consequences, potentially disrupting coastal trophic interactions

Phenotyping Superagers Using Resting-State fMRI

BACKGROUND AND PURPOSE: Superagers are defined as older adults with episodic memory performance similar or superior to that in middle-aged adults. This study aimed to investigate the key differences in discriminative networks and their main nodes between superagers and cognitively average elderly controls. In addition, we sought to explore differences in sensitivity in detecting these functional activities across the networks at 3T and 7T MR imaging fields. MATERIALS AND METHODS: Fifty-five subjects 80 years of age or older were screened using a detailed neuropsychological protocol, and 31 participants, comprising 14 superagers and 17 cognitively average elderly controls, were included for analysis. Participants underwent resting-state-fMRI at 3T and 7T MR imaging. A prediction classification algorithm using a penalized regression model on the measurements of the network was used to calculate the probabilities of a healthy older adult being a superager. Additionally, ORs quantified the influence of each node across preselected networks. RESULTS: The key networks that differentiated superagers and elderly controls were the default mode, salience, and language networks. The most discriminative nodes (ORs > 1) in superagers encompassed areas in the precuneus posterior cingulate cortex, prefrontal cortex, temporoparietal junction, temporal pole, extrastriate superior cortex, and insula. The prediction classification model for being a superager showed better performance using the 7T compared with 3T resting-state-fMRI data set. CONCLUSIONS: Our findings suggest that the functional connectivity in the default mode, salience, and language networks can provide potential imaging biomarkers for predicting superagers. The 7T field holds promise for the most appropriate study setting to accurately detect the functional connectivity patterns in superagers

Understanding fear of opportunism in global prize-based science contests: Evidence for gender and age differences

Global prize-based science contests have great potential for tapping into diverse knowledge on a global scale and overcoming important scientific challenges. A necessary step for knowledge to be utilized in these contests is for that knowledge to be disclosed. Knowledge disclosure, however, is paradoxical in nature: in order for the value of knowledge to be assessed, inventors must disclose their knowledge, but then the person who receives that knowledge does so at no cost and may use it opportunistically. This risk of potential opportunistic behavior in turn makes the inventor fearful of disclosing knowledge, and this is a major psychological barrier to knowledge disclosure. In this project, we investigated this fear of opportunism in global prize-based science contests by surveying 630 contest participants in the InnoCentive online platform for science contests. We found that participants in these science contests experience fear of opportunism to varying degrees, and that women and older participants have significantly less fear of disclosing their scientific knowledge. Our findings highlight the importance of taking differences in such fears into account when designing global prize-based contests so that the potential of the contests for reaching solutions to important and challenging problems can be used more effectively