LLukas22/scidocs huggingface dataset:
Are crimes by online predators different from crimes by sex offenders who know youth in-person?

PURPOSE
We examined cases in which sex offenders arrested for Internet-related crimes used the Internet for sexual communications with minors, comparing crimes by offenders who met victims online to those by offenders who knew victims in-person prior to the offense.


METHODS
We collected data from a national sample of law enforcement agencies (n = 2,653) about arrests in 2009 for Internet-related sex crimes against minors, conducting detailed telephone interviews with investigators about individual cases. This paper examines a subset of arrest cases that included the use of online sexual communications (online-meeting offenders, n = 143; know-in-person/online offenders, n = 139).


RESULTS AND CONCLUSIONS
Compared with know-in-person/online offenders, online-meeting offenders were less likely to have criminal backgrounds and more likely to use online communications to deceive victims. However, deception was a factor in a minority of cases and was also used by some know-in-person/online offenders. The majority of cases in both groups involved statutory rape (i.e., nonforcible illegal sexual activity with underage youth) or noncontact offenses such as child pornography production or sexual solicitation of a minor. We conclude that crimes by online-meeting offenders should not be treated as different or more dangerous than those by know-in-person/online offenders who use online sexual communications. Rather, prevention efforts should educate about the nature of statutory rape and related noncontact offenses. The primary message should be that it is criminal for adults to make sexual overtures to minors, online or offline, no matter what their relationship to the youth.
Heterogeneous cloud radio access networks: a new perspective for enhancing spectral and energy efficiencies

To mitigate the severe inter-tier interference and enhance the limited cooperative gains resulting from the constrained and non-ideal transmissions between adjacent base stations in HetNets, H-CRANs are proposed as cost-efficient potential solutions through incorporating cloud computing into HetNets. In this article, state-of-the-art research achievements and challenges of H-CRANs are surveyed. In particular, we discuss issues of system architectures, spectral and energy efficiency performance, and promising key techniques. A great emphasis is given toward promising key techniques in HCRANs to improve both spectral and energy efficiencies, including cloud-computing-based coordinated multipoint transmission and reception, large-scale cooperative multiple antenna, cloud-computing-based cooperative radio resource management, and cloud-computing based self-organizing networks in cloud converging scenarios. The major challenges and open issues in terms of theoretical performance with stochastic geometry, fronthaul-constrained resource allocation, and standard development that may block the promotion of H-CRANs are discussed as well.
Text mining applied to plagiarism detection: The use of words for detecting deviations in the writing style

0957-4174/$ see front matter 2013 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.12.082 ⇑ Corresponding author. Tel.: +562 978 4834. E-mail addresses: goberreu@ing.uchile.cl (G. Ober (J.D. Velásquez). URL: http://wi.dii.uchile.cl/ (J.D. Velásquez). Plagiarism detection is of special interest to educational institutions, and with the proliferation of digital documents on the Web the use of computational systems for such a task has become important. While traditional methods for automatic detection of plagiarism compute the similarity measures on a document-to-document basis, this is not always possible since the potential source documents are not always available. We do text mining, exploring the use of words as a linguistic feature for analyzing a document by modeling the writing style present in it. The main goal is to discover deviations in the style, looking for segments of the document that could have been written by another person. This can be considered as a classification problem using self-based information where paragraphs with significant deviations in style are treated as outliers. This so-called intrinsic plagiarism detection approach does not need comparison against possible sources at all, and our model relies only on the use of words, so it is not language specific. We demonstrate that this feature shows promise in this area, achieving reasonable results compared to benchmark models. 2013 Elsevier Ltd. All rights reserved.
Early traumatic experiences in those at clinical high risk for psychosis.

AIM
Several lines of evidence suggest a possible association between a history of trauma in childhood and later psychosis or psychotic-like experiences. The purpose of this study was to determine the extent of childhood trauma and bullying in young people at clinical high risk (CHR) of developing psychosis.


METHODS
The sample consisted of 360 individuals who were at CHR of developing psychosis and 180 age- and gender-matched healthy controls. All participants were assessed on past trauma and bullying. The CHR participants were also assessed on a range of psychopathology and functioning.


RESULTS
Individuals at CHR reported significantly more trauma and bullying than healthy controls. Those who had experienced past trauma and bullying were more likely to have increased levels of depression and anxiety and a poorer sense of self.


CONCLUSIONS
These results offer preliminary support for an association between a history of trauma and later subthreshold symptoms.
MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities

MOTIVATION
Multiple sequence alignment is of central importance to bioinformatics and computational biology. Although a large number of algorithms for computing a multiple sequence alignment have been designed, the efficient computation of highly accurate multiple alignments is still a challenge.


RESULTS
We present MSAProbs, a new and practical multiple alignment algorithm for protein sequences. The design of MSAProbs is based on a combination of pair hidden Markov models and partition functions to calculate posterior probabilities. Furthermore, two critical bioinformatics techniques, namely weighted probabilistic consistency transformation and weighted profile-profile alignment, are incorporated to improve alignment accuracy. Assessed using the popular benchmarks: BAliBASE, PREFAB, SABmark and OXBENCH, MSAProbs achieves statistically significant accuracy improvements over the existing top performing aligners, including ClustalW, MAFFT, MUSCLE, ProbCons and Probalign. Furthermore, MSAProbs is optimized for multi-core CPUs by employing a multi-threaded design, leading to a competitive execution time compared to other aligners.


AVAILABILITY
The source code of MSAProbs, written in C++, is freely and publicly available from http://msaprobs.sourceforge.net.
AUTOSAR Software Architecture

AUTOSAR supports the re-use of software and hardware components of automotive electronic systems. Therefore, amongst other things, AUTOSAR defines a software architecture that is used to decouple software components from hardware devices. This paper gives an overview about the different layers of that architecture. In addition, the upper most layer that concerns the application specific part of automotive electronic systems is presented.
Regional differences in body fat distributions among people with comparable body mass index: a comparison across six German population-based surveys.

INTRODUCTION
The mortality of circulatory diseases of the German population varies considerably across regions. The comparison of the regional distributions of cardiovascular risk factors can provide clues to the reasons for cardiovascular mortality differences. The aim of this study was to determine whether indirect measures of fat distribution within subgroups of comparable body mass indices (BMIs) differ by region in Germany.


METHODS
We included six German population-based epidemiological studies conducted between 1997 and 2006 that included a detailed assessment of anthropometric measures including overall 15 215 people aged 45–74 years. We calculated mean values of BMI, waist circumference (WC), hip circumference (HC), and waist-to-hip ratio (WHR). We estimated mean regional differences of WC, HC, and WHR within narrow ranges of BMI.


RESULTS
BMI distributions across the study populations were very similar. However, body fat distributions as measured by WC within subgroups of similar BMIs differed considerably across regions. For example, among people with a BMI of 24.0–25.9, estimated WCs were on average 3.4 and 6.7 cm higher among men and women in Saxony-Anhalt than among men and women in Bavaria, respectively.


CONCLUSION
We provide evidence that the BMI distributions across six population-based surveys in Germany are very similar and that body fat distributions among people with comparable BMIs show relevant regional differences. Our observed WC differences might contribute to regional cardiovascular disease risk differences in Germany. Our findings may trigger further similar analyses across European populations to explain large area variations of cardiovascular disease burden.
RoboEarth Semantic Mapping: A Cloud Enabled Knowledge-Based Approach

The vision of the RoboEarth project is to design a knowledge-based system to provide web and cloud services that can transform a simple robot into an intelligent one. In this work, we describe the RoboEarth semantic mapping system. The semantic map is composed of: 1) an ontology to code the concepts and relations in maps and objects and 2) a SLAM map providing the scene geometry and the object locations with respect to the robot. We propose to ground the terminological knowledge in the robot perceptions by means of the SLAM map of objects. RoboEarth boosts mapping by providing: 1) a subdatabase of object models relevant for the task at hand, obtained by semantic reasoning, which improves recognition by reducing computation and the false positive rate; 2) the sharing of semantic maps between robots; and 3) software as a service to externalize in the cloud the more intensive mapping computations, while meeting the mandatory hard real time constraints of the robot. To demonstrate the RoboEarth cloud mapping system, we investigate two action recipes that embody semantic map building in a simple mobile robot. The first recipe enables semantic map building for a novel environment while exploiting available prior information about the environment. The second recipe searches for a novel object, with the efficiency boosted thanks to the reasoning on a semantically annotated map. Our experimental results demonstrate that, by using RoboEarth cloud services, a simple robot can reliably and efficiently build the semantic maps needed to perform its quotidian tasks. In addition, we show the synergetic relation of the SLAM map of objects that grounds the terminological knowledge coded in the ontology.
WiFi Extension for Drought Early-Warning Detection System Components

Excessive droughts on the African continent have caused the Swedish Meteorological and Hydrological Institute to launch a program of gathering data in hopes of producing models for rainfalls and droughts. A sensor capable of gathering such data has already been chosen, however there remains the problem of conveniently retrieving data from each of the sensors spread over a large area of land. To accomplish this goal, a small, cheap and efficient wireless capable module would need to be used. A possible candidate is the new WiFi-module from Espressif designated ESP8266. It is an extremely cheap and versatile wireless SoC that is able to perform the task of a wireless communications adapter for the sensor unit. The point of this thesis is to investigate the suitability of IEEE 802.11 for the task, and produce a piece of firmware for the ESP8266. The firmware shall enable it to be attached to a sensor and operate as a wireless mesh node in a self-organizing WLAN sensor network, enabling data retrieval via WiFi multi-
The study of history

Table of content . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Editions of this work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 livres (13) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Documents about this work . . 2 Documents about the work A study of history (1934) / Arnold Toynbee (1889-1975) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Pages in data.bnf.fr . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Related authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 This page in data.bnf.fr lab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Sources and references . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Link to the main catalogue . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Sources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Variants of the title
Effect of oxygen partial pressure on the semiconducting properties of thermally grown chromia on pure chromium

Abstract Oxidation of chromium at 800 °C for 30 min at oxygen activity from 5.10 −14 atm to 5.10 −13 atm have been conducted to grow an insulating chromia. Microstructural and semiconducting properties have been investigated using electron microscopy and photoelectrochemistry. The scales always exhibit a duplex microstructure with equiaxed and columnar grains, as well as a both n-type and insulating semiconduction type. Successive oxidation tests have demonstrated the higher protective nature of this chromia scale compared to the air grown one. Chromia semiconducting properties are finally described vs. oxygen activity in a large range of variation.
Smart-home technologies to assist older people to live well at home

Background: With the rapid population ageing that is occurring world-wide, there is increasing interest in “smart home” technologies that can assist older adults to continue living at home with safety and independence. This systematic review and critical evaluation of the world wide literature assesses the effectiveness and feasibility of smart-home technologies for promoting independence, health, well-being and quality of life, in older adults. Methods: A total of 1877 “smart home” publications were identified by the initial search of peer reviewed journals. Of these, 21 met our inclusion criteria for the review and were subject to data extraction and quality assessment. Results: Smart-home technologies included different types of active and passive sensors, monitoring devices, robotics and environmental control systems. One study assessed effectiveness of a smart home technology. Sixteen reported on the feasibility of smart-home technology and four were observational studies. Conclusion: Older adults were reported to readily accept smart-home technologies, especially if they benefited physical activity, independence and function and if privacy concerns were addressed. Given the modest number of objective analyses, there is a need for further scientific analysis of a range of smart home technologies to promote community living. rather than being hospitalized or institutionalized [10]. Smart-home technologies can also promote independent living and safety. This has the potential to optimize quality of life and reduce the stress on agedcare facilities and other health resources [13]. The challenge with smart-home technologies is to create a home environment that is safe and secure to reduce falls, disability, stress, fear or social isolation [14]. Contemporary smart home technology systems are versatile in function and user friendly. Smart home technologies usually aim to perform functions without disturbing the user and without causing any pain, inconvenience or movement restrictions. Martin and colleagues performed a preliminary analysis of the acceptance of smart-home technologies [15]. The results from this review were limited as no studies met inclusion criteria [15]. Given however, the rapid progression of new smart home technologies, a new systematic review of the literature is required. This paper addresses that need by analysing the range of studies undertaken to assess the impact of these technologies on the quality of life experienced by an ageing population accessing these supports. The broader context incorporates consideration of the social and emotional well-being needs of this population. The current review aimed to answer the following research question: “What is the effectiveness of smart-home technologies for Citation: Morris ME, Adair B, Miller K, Ozanne E, Hansen R, et al. (2013) Smart-Home Technologies to Assist Older People to Live Well at Home. Aging Sci 1: 101. doi:10.4172/jasc.1000101
Magnitude and Factors Associated with Malnutrition in Children 6-59 Months of Age in Pastoral Community of Dollo Ado District, Somali Region, Ethiopia

Background: Malnutrition at the early stages of life can lower child resistance to infections, increase child morbidity and mortality, and decrease mental development and cognitive achievement. Adequate nutrition is the keystone of survival, health and development not only of current generations but also of the ones to come. Child malnutrition is a major public health problem in Ethiopia. Objectives: To assess the magnitude and factors associated with malnutrition of children 6 to 59 months of age in Dollo Ado district, Somali region. Methods: A community based, cross-sectional study was conducted on 541 mother-child pairs of 6-59 month old children in December 2012. Anthropometric measurements of height and weight of 541 study children were taken with physical examination to identify the severe form of malnutrition and the socio-demographic characteristics of the subjects were collected using a questionnaire. Both anthropometric and non anthropometric data were entered using Epi-Info version 3.5.2. The data were analyzed using SPSS Version 16.0. Both bivariate and multivariate analysis (logistic regression model) was used to identify the determinants of child malnutrition. Results: Result of the study revealed that the overall prevalence of malnutrition in the community was high with 42.3% of the children being wasted, 34.4% for stunting and 47.7% for underweight. All three forms of malnutrition (wasting, stunting and underweight) was more prevalent among boys than girls with a statistically significant of P<0.031. Prevalence of wasting was higher among young children while stunting and underweight were more likely to be observed in older children. Regression analysis shows that the significant determinants of malnutrition were gender and age of child, marital status, maternal education, monthly HH income, decision making, having of livestock, presence of ARI, total number of children ever born, health status during pregnancy, pre-lactation practice, mode of feeding, access to clean water and type of floor in the households. Conclusions: The prevalence of child malnutrition among the under five children was high, indicating that the nutrition situation in study area is very critical. Thus, malnutrition is a major public health problem. Further in-depth studies should also be encouraged to look for improved interventions.
Effects of lexical-semantic treatment on memory in early Alzheimer disease: an observer-blinded randomized controlled trial.

BACKGROUND
Episodic memory and semantic abilities deteriorate early in Alzheimer disease (AD). Since the cognitive system includes interconnected and reciprocally influenced neuronal networks, the authors hypothesized that stimulation of lexical-semantic abilities may benefit semantically structured episodic memory.


OBJECTIVE
To investigate the effects of lexical-semantic stimulation (LSS) on verbal communication and episodic memory in early AD.


METHODS
Forty AD participants were randomized to LSS or unstructured cognitive stimulation (UCS) as control condition. Treatments lasted 3 months, 2 sections a week. The primary outcome measures were the Mini-Mental State Examination (MMSE), Boston Naming Test (BNT), Verbal Naming Test (VNT), Phonemic and Semantic Fluency, Story Recall, and Rey Auditory Verbal Learning (RAVL). Secondary outcome measures were neuropsychological tests assessing cognitive functions not stimulated by the intervention, such as attention, executive functions, and visual-spatial abilities, and the instrumental activities of daily living scale. A 6-month follow-up assessment was administered to the LSS group.


RESULTS
LSS treatment yielded significant improvements of the MMSE, BNT, VNT, Brief Story Recall, and RAVL delayed recall mean scores. Among secondary outcome measures, only working memory and the speed of a task assessing executive functions (Stroop test) improved after LSS. Unstructured cognitive stimulation intervention did not improve any cognitive domain. Six months after LSS discontinuation, the MMSE mean score remains significantly higher than the baseline value.


CONCLUSION
LSS treatment may improve episodic memory in AD patients and may be regarded as a clinical option to counteract the cognitive decline typical of the disease.
Changes in Sucking Performance from Nonnutritive Sucking to Nutritive Sucking during Breast- and Bottle-Feeding

Our aim was to obtain a better understanding of the differences between breast-feeding and bottle-feeding, particularly with regard to how sucking performance changes from nonnutritive sucking (NNS) to nutritive sucking (NS). Twenty-two normal term infants were studied while breast-feeding at 4 and 5 d postpartum. Five of the 22 infants were exclusively breast-fed, but we tested the other 17 infants while breast-feeding and while bottle-feeding. Before the milk ejection reflex (MER) occurs, little milk is available. As such, infants perform NNS before MER. For bottle-feeding, a one-way valve was affixed between the teat and the bottle so that the infants needed to perform NNS until milk flowed into the teat chamber. At the breast, the sucking pressure (–93.1 ± 28.3 mm Hg) was higher during NNS compared with NS (–77.3 ± 27.0 mm Hg). With a bottle, the sucking pressure was lower during NNS (–27.5 ± 11.2 mm Hg) compared with NS (–87.5 ± 28.5 mm Hg). Sucking frequency was higher and sucking duration was shorter during NNS compared with that during NS both at the breast and with a bottle. There were significant differences in the changes of sucking pressure and duration from NNS to NS between breast- and bottle-feeding. The change in sucking pressure and duration from NNS to NS differed between breast-feeding and bottle-feeding. Even with a modified bottle and teats, bottle-feeding differs from breast-feeding.