Independent Sources Of Information Research Articles

OPAL: prediction of MoRF regions in intrinsically disordered protein sequences.

Intrinsically disordered proteins lack stable 3-dimensional structure and play a crucial role in performing various biological functions. Key to their biological function are the molecular recognition features (MoRFs) located within long disordered regions. Computationally identifying these MoRFs from disordered protein sequences is a challenging task. In this study, we present a new MoRF predictor, OPAL, to identify MoRFs in disordered protein sequences. OPAL utilizes two independent sources of information computed using different component predictors. The scores are processed and combined using common averaging method. The first score is computed using a component MoRF predictor which utilizes composition and sequence similarity of MoRF and non-MoRF regions to detect MoRFs. The second score is calculated using half-sphere exposure (HSE), solvent accessible surface area (ASA) and backbone angle information of the disordered protein sequence, using information from the amino acid properties of flanks surrounding the MoRFs to distinguish MoRF and non-MoRF residues. OPAL is evaluated using test sets that were previously used to evaluate MoRF predictors, MoRFpred, MoRFchibi and MoRFchibi-web. The results demonstrate that OPAL outperforms all the available MoRF predictors and is the most accurate predictor available for MoRF prediction. It is available at http://www.alok-ai-lab.com/tools/opal/. ashwini@hgc.jp or alok.sharma@griffith.edu.au. Supplementary data are available at Bioinformatics online.

Visits by pharmaceutical representatives in general practice as observed by fifth-year medical students.

Many general practitioners receive visits at their surgery from pharmaceutical representatives. The purpose of this study was to describe these visits, their framework and content (especially discussions of safety information), and to compare the findings with a corresponding study conducted in 2001–02. A total of 116 fifth-year medical students (2001–02: 144) at the University of Oslo in practical training at GP surgeries in the South-Eastern Norway Regional Health Authority in the period 2014–16 completed an electronic questionnaire after attending a visit by a pharmaceutical representative at the medical centre. A total of 116 visits took place during lunch breaks, when the representative paid for the food. In 90 % (2001–02: 81 %) of the visits, both doctors and their colleagues attended. Free samples were given out in 28 % (2001–02: 41 %) of the meetings, and small gifts in 5 % (2001–02: 44 %). Although the representative often refrained from raising the topic of safety information about the medication, this nevertheless happened less often than in 2001–02: adverse effects (42 % vs 55 %; p=0.04), interactions (53 % vs 64 %; p=0.07), contraindications (37 % vs 61 %; p= 0.0002) and precautions (30 % vs 56 %; p<0.0001). The medical students gave a below average score for their own learning outcome from the presentations (4.8 on a scale from 0–10) (2001–02: 4.2). Although the study shows improvements since 2001–02, it is still common for information provided at visits by pharmaceutical representatives to be deficient with regard to discussion of adverse effects, interactions, contraindications and precautions. Doctors must base their judgement on independent sources of information in order to stay abreast of the latest safety data on the medications.

Revitalizing the concept of bond order through delocalization measures in real space.

Ab initio quantum chemistry is an independent source of information supplying an ever widening group of experimental chemists. However, bridging the gap between these ab initio data and chemical insight remains a challenge. In particular, there is a need for a bond order index that characterizes novel bonding patterns in a reliable manner, while recovering the familiar effects occurring in well-known bonds. In this article, through a large body of calculations, we show how the delocalization index derived from Quantum Chemical Topology (QCT) serves as such a bond order. This index is defined in a parameter-free, intuitive and consistent manner, and with little qualitative dependency on the level of theory used. The delocalization index is also able to detect the subtler bonding effects that underpin most practical organic and inorganic chemistry. We explore and connect the properties of this index and open the door for its extensive usage in the understanding and discovery of novel chemistry.

Using diffusion MRI to discriminate areas of cortical grey matter

Cortical area parcellation is a challenging problem that is often approached by combining structural imaging (e.g., quantitative T1, diffusion-based connectivity) with functional imaging (e.g., task activations, topological mapping, resting state correlations). Diffusion MRI (dMRI) has been widely adopted to analyse white matter microstructure, but scarcely used to distinguish grey matter regions because of the reduced anisotropy there. Nevertheless, differences in the texture of the cortical 'fabric' have long been mapped by histologists to distinguish cortical areas. Reliable area-specific contrast in the dMRI signal has previously been demonstrated in selected occipital and sensorimotor areas. We expand upon these findings by testing several diffusion-based feature sets in a series of classification tasks. Using Human Connectome Project (HCP) 3T datasets and a supervised learning approach, we demonstrate that diffusion MRI is sensitive to architectonic differences between a large number of different cortical areas defined in the HCP parcellation. By employing a surface-based cortical imaging pipeline, which defines diffusion features relative to local cortical surface orientation, we show that we can differentiate areas from their neighbours with higher accuracy than when using only fractional anisotropy or mean diffusivity. The results suggest that grey matter diffusion may provide a new, independent source of information for dividing up the cortex.

Explaining discrepancies in assessment protocols: Trait relevance and functional equivalence.

Inconsistencies among independent sources of information about psychological constructs are widely documented, but not adequately explained. Measurement error as the primary explanation, though historically popular, is no longer tenable. Yet, even as assessors acknowledge that various measures of the same construct are not necessarily interchangeable, there are no agreed upon frameworks to discern the unique contribution of each measure in multiinformant and multimethod assessment protocols. In this study, we focus on the relevance of the target trait in its measured contexts and on the functional equivalence of the trait across its measures (similar self-regulatory requirements for trait expression) as driving relations between scores. These 2 considerations enabled prediction of informant differences in mean ratings and of patterns of divergences and convergences between parent and teacher ratings of kindergarteners' social competence (SC) and executive functioning (EF) and between informant-based and performance-based measures of executive functioning (N = 73). (PsycINFO Database Record

There is no Season for Gifts

Gifts and payments from pharmaceutical manufacturers to medical doctors constitute a conflict of interest, which may lead to an undue influence on prescribing behavior. In Germany, 35 research-based pharmaceutical companies, organized in the "Verband der forschenden Arzneimittelhersteller (VfA)" paid € 562 million to medical doctors and hospitals in 2016. Of these, € 356 million were paid for clinical trials and non-interventional studies, € 105 million for sponsored presentations and CME and € 101 million went to hospitals and other organizations for sponsoring, consulting and events. This article gives a short review on the different kinds of interactions, discusses psychological mechanisms and legal aspects of accepting gifts and recommends not to accept any gifts and donations from pharmaceutical companies to avoid undue influences on prescribing behavior. There are many ways to keep up to date using independent sources of information, and independent CME-events are growing in number - examples are given.

Multi-model comparison highlights consistency in predicted effect of warming on a semi-arid shrub.

A number of modeling approaches have been developed to predict the impacts of climate change on species distributions, performance, and abundance. The stronger the agreement from models that represent different processes and are based on distinct and independent sources of information, the greater the confidence we can have in their predictions. Evaluating the level of confidence is particularly important when predictions are used to guide conservation or restoration decisions. We used a multi-model approach to predict climate change impacts on big sagebrush (Artemisia tridentata), the dominant plant species on roughly 43million hectares in the western United States and a key resource for many endemic wildlife species. To evaluate the climate sensitivity of A. tridentata, we developed four predictive models, two based on empirically derived spatial and temporal relationships, and two that applied mechanistic approaches to simulate sagebrush recruitment and growth. This approach enabled us to produce an aggregate index of climate change vulnerability and uncertainty based on the level of agreement between models. Despite large differences in model structure, predictions of sagebrush response to climate change were largely consistent. Performance, as measured by change in cover, growth, or recruitment, was predicted to decrease at the warmest sites, but increase throughout the cooler portions of sagebrush's range. A sensitivity analysis indicated that sagebrush performance responds more strongly to changes in temperature than precipitation. Most of the uncertainty in model predictions reflected variation among the ecological models, raising questions about the reliability of forecasts based on a single modeling approach. Our results highlight the value of a multi-model approach in forecasting climate change impacts and uncertainties and should help land managers to maximize the value of conservation investments.

Conflict of Interest Disclosure in a Top-Tier Portuguese Medical Journal.

Scientific medical publications are considered to be a source of unbiased and independent information. Authors are requiredto disclose relationships with the pharmaceutical industry for transparency purposes. The aim of this work was to assess conflictof interest disclosure in a Portuguese top-tier medical journal by comparing authors' self-reported conflicts of interest with paymentslisted in the official database of Portuguese Ministry of Health. All articles published in the Portuguese Journal of Cardiology from December 2015 to May 2016 were reviewed.Articles based on clinical images, with authors affiliated to foreign institutions, editorials, letters to the editor, or submitted beforeJanuary 1st 2015 were excluded. Authors were categorized on concordance between self-reported disclosures and payments listed inthe database. Authors who authored multiple articles were counted as new authors, since each paper offered a new opportunity forfinancial disclosure. Of the 155 authors surveyed, 82 (53%) were in perfect concordance with the sunshine database, while 73 authors (47%) hadone or more undisclosed payments. Undisclosed payments totaled over € 210 000. Four (17%) articles mentioned a conflict of interest,24 articles (96%) had at least one author with undisclosed payments. None of the payments listed in the database was acknowledged in self-reported conflicts of interest. This might indicatethat authors do not consider their financial relationships with the industry to be relevant. The lack of concordance between self-reported conflicts of interest and payments found in the database raises concernsabout incomplete disclosure.

An assessment of the performance of global rainfall estimates without ground-based observations

Abstract. Satellite-based rainfall estimates over land have great potential for a wide range of applications, but their validation is challenging due to the scarcity of ground-based observations of rainfall in many areas of the planet. Recent studies have suggested the use of triple collocation (TC) to characterize uncertainties associated with rainfall estimates by using three collocated rainfall products. However, TC requires the simultaneous availability of three products with mutually uncorrelated errors, a requirement which is difficult to satisfy with current global precipitation data sets. In this study, a recently developed method for rainfall estimation from soil moisture observations, SM2RAIN, is demonstrated to facilitate the accurate application of TC within triplets containing two state-of-the-art satellite rainfall estimates and a reanalysis product. The validity of different TC assumptions are indirectly tested via a high-quality ground rainfall product over the contiguous United States (CONUS), showing that SM2RAIN can provide a truly independent source of rainfall accumulation information which uniquely satisfies the assumptions underlying TC. On this basis, TC is applied with SM2RAIN on a global scale in an optimal configuration to calculate, for the first time, reliable global correlations (vs. an unknown truth) of the aforementioned products without using a ground benchmark data set. The analysis is carried out during the period 2007–2012 using daily rainfall accumulation products obtained at 1° × 1° spatial resolution. Results convey the relatively high performance of the satellite rainfall estimates in eastern North and South America, southern Africa, southern and eastern Asia, eastern Australia, and southern Europe, as well as complementary performances between the reanalysis product and SM2RAIN, with the first performing reasonably well in the Northern Hemisphere and the second providing very good performance in the Southern Hemisphere. The methodology presented in this study can be used to identify the best rainfall product for hydrologic models with sparsely gauged areas and provide the basis for an optimal integration among different rainfall products.

How redundant are luminance and chrominance information in natural scenes?

Color vision is an impressive ability of the human visual system. Three different types of cones in the retina, and then three postreceptoral cone-opponent mechanisms enable us to extract both luminance and chromatic information from our environment. Theories of efficient coding argue that the visual system evolved this way to optimally process natural scenes. Therefore, the study of statistical properties of natural images has great potential value to expand our understanding of visual perception. From that perspective, a central question is to characterize the role of chromatic information: in natural scenes, what information can be extracted from chromatic channels that is not already present in luminance? The literature on this point is contradictory. On the one hand, several studies have investigated the joint distribution of luminance and chrominance, finding that luminance and chromatic edges are not independent (Fine et al. 2003) and that most edges are defined by luminance contrast with color information being redundant (Zhou & Mel 2008). On the other hand, Hansen and Gegenfurtner (2009) showed using mutual information that luminance and chromatic edges constitute relatively independent sources of information and that their independence increases along successive stages of visual processing. Here we improve and extend their analysis, using ~1000 images taken from the McGill calibrated color image database (Olmos & Kingdom, 2004) to quantify the redundancy of luminance and chrominance information in each image individually. While we replicate the main findings of Hansen and Gegenfurtner (2009), we also find that the estimated amount of mutual information depends on how the images are processed. The most critical step is divisive normalization, a late stage in the processing pipeline. How redundant chrominance and luminance are, may thus depend on the precise definition of these two quantities, explaining some inconsistencies in the literature.

Assessing the population coverage of a health demographic surveillance system using satellite imagery and crowd-sourcing.

Remotely sensed data can serve as an independent source of information about the location of residential structures in areas under demographic and health surveillance. We report on results obtained combining satellite imagery, imported from Bing, with location data routinely collected using the built-in GPS sensors of tablet computers, to assess completeness of population coverage in a Health and Demographic Surveillance System in Malawi. The Majete Malaria Project Health and Demographic Surveillance System, in Malawi, started in 2014 to support a project with the aim of studying the reduction of malaria using an integrated control approach by rolling out insecticide treated nets and improved case management supplemented with house improvement and larval source management. In order to support the monitoring of the trial a Health and Demographic Surveillance System was established in the area that surrounds the Majete Wildlife Reserve (1600 km2), using the OpenHDS data system. We compared house locations obtained using GPS recordings on mobile devices during the demographic surveillance census round with those acquired from satellite imagery. Volunteers were recruited through the crowdcrafting.org platform to identify building structures on the images, which enabled the compilation of a database with coordinates of potential residences. For every building identified on these satellite images by the volunteers (11,046 buildings identified of which 3424 (ca. 30%) were part of the censused area), we calculated the distance to the nearest house enumerated on the ground by fieldworkers during the census round of the HDSS. A random sample of buildings (85 structures) identified on satellite images without a nearby location enrolled in the census were visited by a fieldworker to determine how many were missed during the baseline census survey, if any were missed. The findings from this ground-truthing effort suggest that a high population coverage was achieved in the census survey, however the crowd-sourcing did not locate many of the inhabited structures (52.3% of the 6543 recorded during the census round). We conclude that using auxiliary data can play a useful role in quality assurance in population based health surveillance, but improved algorithms would be needed if crowd-sourced house locations are to be used as the basis of population databases.

Blogging Three Ways in Vietnam's Political Blogosphere

This article discusses the dynamism of Vietnam's social media landscape by identifying three kinds of blogging and the different political views espoused by Vietnamese bloggers. This classification is based on a thematic analysis of blog postings, media discussions and semi-structured interviews conducted in 2013–15. The author's mapping of Vietnam's blogosphere demonstrates four features: first, the growth of political blogs; second, how the blogosphere has become an arena for competing political ideologies; third, the utilization of blogs by various factions within the Communist Party of Vietnam (CPV) to serve their own interests; and fourth, blogs as an important source of independent news and information. Understanding political blogs in Vietnam today helps us understand how Vietnamese bloggers maximize online freedom of speech, the zigzagging attitude of the CPV in managing the Internet in an attempt to reinforce its legitimacy and the challenges blogs pose to the state-run media's monopoly in the digital age.

Suicide following acute admissions for physical illnesses across England and Wales.

The study aim was to establish and quantify suicide risk following acute admissions for all major physical illnesses, for confirmatory purposes, from two independent information sources from different countries. Record linkage of inpatient and death certificate data for 11 004 389 acute admissions for physical illnesses in England and 713 496 in Wales. The main outcome measure was standardised mortality ratios (SMRs) for suicide at 1 year following discharge from hospital. There were 1781 suicides within 1 year of discharge in England (SMR = 1.7; 95% = 1.6-1.8) and 131 in Wales (SMR = 2.0; 1.7-2.3). Of 48 major physical illnesses that were associated with at least eight suicides in either country, there was high consistent suicide mortality (significant SMR >3) in both countries for constipation (SMR = 4.1 in England, 7.5 in Wales), gastritis (4.4 and 4.9) and upper gastrointestinal bleeding (3.4 and 4.5). There was high suicide mortality in one country for alcoholic liver disease, other liver disease and chronic pancreatitis; for epilepsy and Parkinson's disease; for diabetes, hypoglycaemia and hypo-osmolality & hyponatraemia; and for pneumonia, back pain and urinary tract infections. There is little or no increased suicide mortality following acute admissions for most physical illnesses. Much of the increased suicide mortality relates to gastrointestinal disorders that are often alcohol related or specific chronic conditions, which may be linked to side effects from certain therapeutic medications. Acute hospital admissions for physical illnesses may therefore provide an opportunity for targeted suicide prevention among people with certain conditions, particularly alcohol related disorders.

Statistical matching in practice – An application to the evaluation of the education system from PISA and TALIS

&lt;p class="RESUMENCURSIVA"&gt;Con el nombre Statistical Matching se identifican un conjunto de técnicas que posibilitan integrar información obtenida mediante encuestas independientes con unidades muestrales distintas. El objetivo es obtener un fichero de datos sintético con información plausible para ítems provenientes de distintas fuentes. Método: El Matching parte de la existencia de variables comunes entre los ficheros, usualmente, variables sociodemográficas. Este bloque de información común se emplea para imputar los ítems específicos de las encuestas. Resultados: Explicitamos las fases principales del Statistical Matching y las aplicamos a las encuestas PISA 2012 y TALIS 2013 de España. Proporcionamos pautas para una validación de los resultados. En todas las fases se ha utilizado el software libre R. Conclusiones: La potencialidad de Statistical Matching es enorme en tanto que posibilita enlazar ficheros de origen distinto. Las técnicas de Statistical Matching son accesibles gracias al desarrollo de diversos paquetes de R. Su aplicación en Ciencias Sociales puede ser solución a multitud de problemas metodológicos y contribuir a un mejor conocimiento de la realidad social&lt;/p&gt;

Filling the gap: Using fishers’ knowledge to map the extent and intensity of fishing activity

Knowledge of the extent and intensity of fishing activities is critical to inform management in relation to fishing impacts on marine conservation features. Such information can also provide insight into the potential socio-economic impacts of closures (or other restrictions) of fishing grounds that could occur through the future designation of Marine Conservation Zones (MCZs). We assessed the accuracy and validity of fishing effort data (spatial extent and relative effort) obtained from Fishers’ Local Knowledge (LK) data compared to that derived from Vessel Monitoring System (VMS) data for a high-value shellfish fishery, the king scallop (Pecten maximus L.) dredge fishery in the English Channel. The spatial distribution of fishing effort from LK significantly correlated with VMS data and the correlation increased with increasing grid cell resolution. Using a larger grid cell size for data aggregation increases the estimation of the total area of seabed impacted by the fishery. In the absence of historical VMS data for vessels ≤15 m LOA (Length Overall), LK data for the inshore fleet provided important insights into the relative effort of the inshore (<6 NM from land) king scallop fishing fleet in the English Channel. The LK data provided a good representation of the spatial extent of inshore fishing activity, whereas representation of the offshore fishery was more precautionary in terms of defining total impact. Significantly, the data highlighted frequently fished areas of particular importance to the inshore fleet. In the absence of independent sources of geospatial information, the use of LK can inform the development of marine planning in relation to both sustainable fishing and conservation objectives, and has application in both developed and developing countries where VMS technology is not utilised in fisheries management.

Probability matching in perceptrons: Effects of conditional dependence and linear nonseparability.

Probability matching occurs when the behavior of an agent matches the likelihood of occurrence of events in the agent’s environment. For instance, when artificial neural networks match probability, the activity in their output unit equals the past probability of reward in the presence of a stimulus. Our previous research demonstrated that simple artificial neural networks (perceptrons, which consist of a set of input units directly connected to a single output unit) learn to match probability when presented different cues in isolation. The current paper extends this research by showing that perceptrons can match probabilities when presented simultaneous cues, with each cue signaling different reward likelihoods. In our first simulation, we presented up to four different cues simultaneously; the likelihood of reward signaled by the presence of one cue was independent of the likelihood of reward signaled by other cues. Perceptrons learned to match reward probabilities by treating each cue as an independent source of information about the likelihood of reward. In a second simulation, we violated the independence between cues by making some reward probabilities depend upon cue interactions. We did so by basing reward probabilities on a logical combination (AND or XOR) of two of the four possible cues. We also varied the size of the reward associated with the logical combination. We discovered that this latter manipulation was a much better predictor of perceptron performance than was the logical structure of the interaction between cues. This indicates that when perceptrons learn to match probabilities, they do so by assuming that each signal of a reward is independent of any other; the best predictor of perceptron performance is a quantitative measure of the independence of these input signals, and not the logical structure of the problem being learned.

Linking occupancy surveys with habitat characteristics to estimate abundance and distribution in an endangered cryptic bird

Accurate estimates of the distribution and abundance of endangered species are crucial to determine their status and plan recovery options, but such estimates are often difficult to obtain for species with low detection probabilities or that occur in inaccessible habitats. The Puaiohi (Myadestes palmeri) is a cryptic species endemic to Kauaʻi, Hawai‘i, and restricted to high elevation ravines that are largely inaccessible. To improve current population estimates, we developed an approach to model distribution and abundance of Puaiohi across their range by linking occupancy surveys to habitat characteristics, territory density, and landscape attributes. Occupancy per station ranged from 0.17 to 0.82, and was best predicted by the number and vertical extent of cliffs, cliff slope, stream width, and elevation. To link occupancy estimates with abundance, we used territory mapping data to estimate the average number of territories per survey station (0.44 and 0.66 territories per station in low and high occupancy streams, respectively), and the average number of individuals per territory (1.9). We then modeled Puaiohi occupancy as a function of two remote-sensed measures of habitat (stream sinuosity and elevation) to predict occupancy across its entire range. We combined predicted occupancy with estimates of birds per station to produce a global population estimate of 494 (95% CI 414–580) individuals. Our approach is a model for using multiple independent sources of information to accurately track population trends, and we discuss future directions for modeling abundance of this, and other, rare species.

Clinical characteristics of juvenile idiopathic arthritis in an area of central Italy: a population-based study.

Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic disease in children and an important cause of short and long-term disability. In a recent systematic review of population based studies, the epidemiology of JIA is variable worldwide with incidence rates ranging between 1.6 and 23.0/100,000, and prevalence rates between 3.8 and 400.0/100,000. We investigate the incidence and describe the characteristics of juvenile idiopathic arthritis in the pediatric population of the central Italy, in the period 2000-2009. A retrospective study was conducted in the Marche region to identify patients with a diagnosis of juvenile idiopathic arthritis according to ILAR criteria, between January 1, 2000 and December 31, 2009. JIA was classified according to the ILAR criteria, that is, arthritis of unknown etiology that persisted for > 6 weeks with onset before the age of 16 years. The pooled global ascertainment of cases was estimated by capture-recapture methods and two independent information sources of ascertainment of new cases of JIA were considered. We studied 151 patients (56 males, 37.1% and 95 females, 62.9%) meeting the ILAR criteria of juvenile idiopathic arthritis. Mean age at presentation was 6.8 ± 3.7 years for males and 6.0 ± 4.0 years for females (p=0.22). The overall incidence rate was 6.34 per 100,000/year (C.I. 6.26-7.35) and the total incidence rate increase from 2000-2009 was 8.16%. Oligoarthritis was the most common onset type (n=98, 65.0%) with 62.5% of ANA-positive patients in at least two determinations. Our results indicate that juvenile idiopathic arthritis incidence rates in Italy are comparable to previous data from southern Europe, with a higher frequency of oligoarthritis. To the best of our knowledge, this is the first population-based epidemiological study carried out in Italy focusing on the incidence of juvenile idiopathic arthritis.

Assessment of State Agencies’ Practices in Managing Geotechnical Risk in Design–Build Projects

Policies and procedures of state highway agencies for articulating geotechnical information and requirements on design–build (DB) projects are the means to manage the geotechnical risk. Successful approaches and practices to managing geotechnical risk not only reduce the level of geotechnical uncertainty for both the owner and the competing design–builder but also distribute the remaining geotechnical risk between the parties. Discussed here are the differences with regard to geotechnical risk management, aspects of the DB procurement process, and contract aspects between state departments of transportation (DOTs) with experience delivering projects using the DB process versus those that are not as experienced. Results are presented from two independent sources of information: one was obtained through a literature review of aspects related to geotechnical requirements and management of DB projects and the other was obtained through an online survey of 38 state DOTs. Results of the study statistically demonstrate the value of DB experience in managing geotechnical risk and, accordingly, a set of recommended practices for agencies that are relatively new to DB project delivery, during both procurement and contract formation, is presented.

Calibrating Distance Sensors for Terrestrial Applications Without Groundtruth Information

This paper describes a new calibration procedure for distance sensors that does not require independent sources of groundtruth information, i.e., that is not based on comparing the measurements from the uncalibrated sensor against measurements from a precise device assumed as the groundtruth. Alternatively, the procedure assumes that the uncalibrated distance sensor moves in space on a straight line in an environment with fixed targets, so that the intrinsic parameters of the statistical model of the sensor readings are calibrated without requiring tests in controlled environments, but rather in environments where the sensor follows linear movement and objects do not move. The proposed calibration procedure exploits an approximated expectation maximization scheme on top of two ingredients: an heteroscedastic statistical model describing the measurement process, and a simplified dynamical model describing the linear sensor movement. The procedure is designed to be capable of not just estimating the parameters of one generic distance sensor, but rather integrating the most common sensors in robotic applications, such as Lidars, odometers, and sonar rangers and learn the intrinsic parameters of all these sensors simultaneously. Tests in a controlled environment led to a reduction of the mean squared error of the measurements returned by a commercial triangulation Lidar by a factor between 3 and 6, comparable to the efficiency of other state-of-the art groundtruth-based calibration procedures. Adding odometric and ultrasonic information further improved the performance index of the overall distance estimation strategy by a factor of up to 1.2. Tests also show high robustness against violating the linear movements assumption.