LLukas22/scidocs huggingface dataset:
Seismic damage evaluation in urban areas using the capacity spectrum method: Application to Barcelona

Conceptual aspects related to seismic vulnerability, damage and risk evaluation are discussed first, together with a short review of the most widely used possibilities for seismic evaluation of structures. The capacity spectrum method and the way of obtaining seismic damage scenarios for urban areas starting from capacity and fragility curves are then discussed. The determination of capacity curves for buildings using non-linear structural analysis tools is then explained, together with a simplified expeditious procedure allowing the development of fragility curves. The seismic risk of the buildings of Barcelona, Spain, is analyzed in the paper, based on the application of the capacity spectrum method. The seismic hazard in the area of the city is described by means of the reduced 5% damped elastic response spectrum. The information on the buildings was obtained by collecting, arranging, improving and completing a broad database of the dwellings and current buildings. The buildings existing in Barcelona are mainly of two types: unreinforced masonry structures and reinforced concrete buildings with waffled-slab floors. The ArcView software was used to create a GIS tool for managing the collected information in order to develop seismic risk scenarios. This study shows that the vulnerability of the buildings is significant in Barcelona and, therefore, in spite of the low-to-moderate seismic hazard in the region, the expected seismic risk is considerable. r 2007 Elsevier Ltd. All rights reserved.
SDN and OpenFlow Evolution: A Standards Perspective

The Open Networking Foundation's Extensibility Working Group is standardizing OpenFlow, the main software-defined networking (SDN) protocol. To address the requirements of a wide range of network devices and to accommodate its all-volunteer membership, the group has made the specification process highly dynamic and similar to that of open source projects.
Prenatal vitamin A deficiency impairs adaptive immune responses to pentavalent rotavirus vaccine (RotaTeq®) in a neonatal gnotobiotic pig model.

Vitamin A deficiency (VAD) is associated with increased childhood mortality and morbidity in impoverished Asian and African countries, but the impact of VAD on rotavirus (RV) vaccine or infection is poorly understood. We assessed effects of gestational and dietary induced pre- and post-natal VAD and vitamin A supplementation on immune responses to a pentavalent rotavirus vaccine, RotaTeq(®) in a neonatal gnotobiotic pig model. Vaccine efficacy was assessed against virulent G1P[8] human rotavirus (HRV) challenge. VAD and vitamin A sufficient (VAS) piglets were derived from dietary VAD and VAS sows, respectively. VAD piglets had significantly lower levels of hepatic vitamin A compared to that of VAS piglets. RotaTeq(®)-vaccinated VAD piglets had 350-fold higher fecal virus shedding titers compared to vaccinated VAS piglets post-challenge. Only 25% of vaccinated non-vitamin A supplemented VAD piglets were protected against diarrhea compared with 100% protection rate in vaccinated non-supplemented VAS piglets post-challenge. Intestinal HRV specific immune responses were compromised in VAD piglets. Vaccinated VAD piglets had significantly lower ileal HRV IgG antibody secreting cell (ASC) responses (pre-challenge) and duodenal HRV IgA ASC responses (post-challenge) compared to vaccinated VAS piglets. Also, intestinal HRV IgA antibody titers were 11-fold lower in vaccinated VAD compared to vaccinated VAS piglets post-challenge. Persistently elevated levels of IL-8, a pro-inflammatory mediator, and lower IL-10 responses (anti-inflammatory) in vaccinated VAD compared to VAS piglets suggest more severe inflammatory responses in VAD piglets post-challenge. Moreover higher IFN-γ responses pre-challenge were observed in VAD compared to VAS piglets. The impaired vaccine-specific intestinal antibody responses and decreased immunoregulatory cytokine responses coincided with reduced protective efficacy of the RV vaccine against virulent HRV challenge in VAD piglets. In conclusion, VAD impaired antibody responses to RotaTeq(®) and vaccine efficacy. Oral supplementation of 100,000 IU vitamin A concurrent with RV vaccine failed to increase the vaccine efficacy in VAD piglets.
Randomized crossover trial of kangaroo care to reduce biobehavioral pain responses in preterm infants: a pilot study.

Kangaroo care (KC), skin-to-skin contact between mother and infant, is a promising method for blunting pain responses. This crossover pilot tested KC effects on biobehavioral responses to heel stick in preterm infants (30-32 weeks' gestational age, 2-9 days old) measured by Premature Infant Pain Profile (PIPP) and salivary and serum cortisol. Mother-infant dyads were randomly assigned to KC heel stick (KCH) first or incubator heel stick (IH) first. Study 1 (80-min study, N = 18) tested the effect of 80 min of KC before and throughout the heel stick procedure versus incubator care. Study 2 (30-min study, N = 10) tested 30 min of KC before and throughout the heel stick versus incubator care. KCH and IH began during a premeasurement phase and continued through four data collection phases: baseline, heel warming, heel stick, and recovery. PIPP responses were measured every 30 s during data collection; salivary cortisol was measured at the end of baseline and recovery; and serum cortisol was measured during heel stick. Study 1 showed no differences between KCH and IH. Study 2 showed lower PIPP scores at four time points during recovery (p < .05 to p < .001), lower salivary cortisol at the end of recovery (p < .05), and lower serum cortisol during heel stick for the KCH condition (p < .05) as well as clinically lower PIPP scores in the KCH condition during heel stick. Thirty minutes of KC before and throughout the heel stick reduced biobehavioral responses to pain in preterm infants.
Cenozoic Formations in Okuyamada, Kyoto Prefecture

The stratigraphy of the Cenozoic formations in Okuyamada, near Kyoto, Japan, has not been previously studied in detail, even though the locality has long been known to amateur fossil collectors as a unique source of marine molluscan fossils., The stratigraphy of the Tsuzuki group is as follows : Ofuku gravel (Pleistocene ?) ., ., ., unconformity ., ., ., Tsuzuki group Yuantani formation Tawara arkose sandstone and conglomerate Shiodani sandstone Okuyamada formation Kaya tuffaceous mudstone Miyamura sandstone bed Kawakami conglomerate ., ., ., unconformity and fault ., ., ., Chichibu Paleozoic formations The Yuantani and Okuyamada formations each represent a cycle of sedimentation., The geologic age of the Tsuzuki group is probably middle Miocene (F2-F3) because of the occurrence of Katelysia nakamurai, Protorotella yuantaniensis and Comptoniphyllum Naumanni, and also of species common to the Ayugawa and Mizunami groups.,
A conjugate gradient learning algorithm for recurrent neural networks

The real-time recurrent learning (RTRL) algorithm, which is or iginally proposed for training recurrent neural networks, requires a large number of iter ations for convergence because a small learning rate should be used. While an obvious solution to this problem is to use a large learning rate, this could result in undesirable conver gence characteristics. This paper attempts to improve the convergence capability and convergenc e characteristics of the RTRL algorithm by incorporating conjugate radient computation into its learning procedure. The resulting algorithm, referred to as the conjugate gradient recurrent learning (CGRL) algorithm, is applied to train fully c onnected recurrent neural networks to simulate a second-order low pass filter and to predict t he chaotic intensity pulsations of NH3 laser. Results show that the CGRL algorithm exhibits substantial improvement in convergence (in terms of the reduction in mean squared er ror p r epoch) as compared to the RTRL and batch mode RTRL algorithms .
Surgical Treatment of Adult Degenerative Scoliosis

The rapid increase of elderly population has resulted in increased prevalence of adult scoliosis. Adult scoliosis is divided into adult idiopathic scoliosis and adult degenerative scoliosis. These two types of scoliosis vary in patient age, curve pattern and clinical symptoms, which necessitate different surgical indications and options. Back pain and deformity are major indications for surgery in adult idiopathic scoliosis, whereas radiating pain to the legs due to foraminal stenosis is what often requires surgery in adult degenerative scoliosis. When selecting a surgical method, major symptoms and underlying medical diseases should be carefully evaluated, not only to relieve symptoms but also to minimize postoperative complications. Surgical options for adult degenerative scoliosis include: decompression alone; decompression and limited short fusion; and decompression coupled with long fusion and correction of deformity. Decompression and limited short fusion can be applied to patients with a small Cobb's angle and normal sagittal imbalance. For those with a large Cobb's angle and positive sagittal imbalance, long fusion with correction of deformity is required. When long fusion is applied, a careful decision regarding the extent of fusion level should be made when selecting L5 or S1 as the distal fusion level and T10 or the thoracolumbar junction as the proximal fusion level. For the fusion extending to the sacrum, restoration of sagittal balance and rigid fixation with additional iliac screws should be considered. Any surgical procedures for adult degenerative scoliosis are known to have relatively high occurrences of complications; therefore, risks and benefits should be meticulously considered before selecting a surgical procedure.
An Efficient Global K-means Clustering Algorithm

K-means clustering is a popular clustering algorithm based on the partition of data. However, K-means clustering algorithm suffers from some shortcomings, such as its requiring a user to give out the number of clusters at first, and its sensitiveness to initial conditions, and its being easily trapped into a local solution et cetera. The global Kmeans algorithm proposed by Likas et al is an incremental approach to clustering that dynamically adds one cluster center at a time through a deterministic global search procedure consisting of N (with N being the size of the data set) runs of the K-means algorithm from suitable initial positions. It avoids the depending on any initial conditions or parameters, and considerably outperforms the K-means algorithms, but it has a heavy computational load. In this paper, we propose a new version of the global K-means algorithm. That is an efficient global K-means clustering algorithm. The outstanding feature of our algorithm is its superiority in execution time. It takes less run time than that of the available global K-means algorithms do. In this algorithm we modified the way of finding the optimal initial center of the next new cluster by defining a new function as the criterion to select the optimal candidate center for the next new cluster. Our idea grew under enlightened by Park and Jun’s idea of K-medoids clustering algorithm. We chose the best candidate initial center for the next cluster by calculating the value of our new function which uses the information of the natural distribution of data, so that the optimal initial center we chose is the point which is not only with the highest density, but also apart from the available cluster centers. Experiments on fourteen well-known data sets from UCI machine learning repository show that our new algorithm can significantly reduce the computational time without affecting the performance of the global Kmeans algorithms. Further experiments demonstrate that our improved global K-means algorithm outperforms the global K-means algorithm greatly and is suitable for clustering large data sets. Experiments on colon cancer tissue data set revealed that our new global K-means algorithm can efficiently deal with gene expression data with high dimensions. And experiment results on synthetic data sets with different proportions noisy data points prove that our global k-means can avoid the influence of noisy data on clustering results efficiently.
GABA: homeostatic and pharmacological aspects.

The central nervous system (CNS) operates by a fine-tuned balance between excitatory and inhibitory signalling. In this context, the inhibitory neurotransmission may be of particular interest as it has been suggested that such neuronal pathways may constitute 'command pathways' and the principle of 'dis-inhibition' leading ultimately to excitation may play a fundamental role (Roberts, E. (1974). Adv. Neurol., 5: 127-143). The neurotransmitter responsible for this signalling is gamma-aminobutyrate (GABA) which was first discovered in the CNS as a curious amino acid (Roberts, E., Frankel, S. (1950). J. Biol. Chem., 187: 55-63) and later proposed as an inhibitory neurotransmitter (Curtis, D.R., Watkins, J.C. (1960). J. Neurochem., 6: 117-141; Krnjevic, K., Schwartz, S. (1967). Exp. Brain Res., 3: 320-336). The present review will describe aspects of GABAergic neurotransmission related to homeostatic mechanisms such as biosynthesis, metabolism, release and inactivation. Additionally, pharmacological and therapeutic aspects of this will be discussed.
Observational, longitudinal study of delirium in consecutive unselected acute medical admissions: age-specific rates and associated factors, mortality and re-admission.

OBJECTIVES
We aimed to determine age-specific rates of delirium and associated factors in acute medicine, and the impact of delirium on mortality and re-admission on long-term follow-up.


DESIGN
Observational study. Consecutive patients over two 8-week periods (2010, 2012) were screened for delirium on admission, using the confusion assessment method (CAM), and reviewed daily thereafter. Delirium diagnosis was made using the Diagnostic and Statistical Manual Fourth Edition (DSM IV) criteria. For patients aged ≥65 years, potentially important covariables identified in previous studies were collected with follow-up for death and re-admission until January 2014.


PARTICIPANTS
503 consecutive patients (age median=72, range 16-99 years, 236 (48%) male).


SETTING
Acute general medicine.


RESULTS
Delirium occurred in 101/503 (20%) (71 on admission, 30 during admission, 17 both), with risk increasing from 3% (6/195) at <65 years to 14% (10/74) for 65-74 years and 36% (85/234) at ≥75 years (p<0.0001). Among 308 patients aged >65 years, after adjustment for age, delirium was associated with previous falls (OR=2.47, 95% CI 1.45 to 4.22, p=0.001), prior dementia (2.08, 1.10 to 3.93, p=0.024), dependency (2.58, 1.48 to 4.48, p=0.001), low cognitive score (5.00, 2.50 to 9.99, p<0.0001), dehydration (3.53, 1.91 to 6.53, p<0.0001), severe illness (1.98, 1.17 to 3.38, p=0.011), pressure sore risk (5.56, 2.60 to 11.88, p<0.0001) and infection (4.88, 2.85 to 8.36, p<0.0001). Patients with delirium were more likely to fall (OR=4.55, 1.47 to 14.05, p=0.008), be incontinent of urine (3.76, 2.15 to 6.58, p<0.0001) or faeces (3.49, 1.81-6.73, p=0.0002) and be catheterised (5.08, 2.44 to 10.54, p<0.0001); and delirium was associated with stay >7 days (2.82, 1.68 to 4.75, p<0.0001), death (4.56, 1.71 to 12.17, p=0.003) and an increase in dependency among survivors (2.56, 1.37 to 4.76, p=0.003) with excess mortality still evident at 2-year follow-up. Patients with delirium had fewer re-admissions within 30-days (OR=0.32, 95% CI 0.09 to 1.1, p=0.07) and in total (median, IQR total re-admissions=0, 0-1 vs 1, 0-2, p=0.01).


CONCLUSIONS
Delirium affected a fifth of acute medical admissions and a third of those aged ≥75 years, and was associated with increased mortality, institutionalisation and dependency, but not with increased risk of re-admission on follow-up.
AutoSelect: What You Want Is What You Get: Real-Time Processing of Visual Attention and Affect

While objects of our focus of attention (“where we are looking at”) and accompanying affective responses to those objects is part of our daily experience, little research exists on investigating the relation between attention and positive affective evaluation. The purpose of our research is to process users’ emotion and attention in real-time, with the goal of designing systems that may recognize a user’s affective response to a particular visually presented stimulus in the presence of other stimuli, and respond accordingly. In this paper, we introduce the AutoSelect system that automatically detects a user’s preference based on eye movement data and physiological signals in a two-alternative forced choice task. In an exploratory study involving the selection of neckties, the system could correctly classify subjects’ choice of in 81%. In this instance of AutoSelect, the gaze ‘cascade effect’ played a dominant role, whereas pupil size could not be shown as a reliable predictor of preference.
Mixed messages: hospital practices that serve as disincentives for associate degree-prepared nurses to return to school.

Nearly 80% of associate's degree-prepared nurses do not return to school for a more advanced degree in nursing, which is an issue of concern to many nursing leaders. This interpretive phenomenological study investigates what influences associate's degree-prepared nurses to refrain from continuing their professional education and obtain a baccalaureate or higher-level degree. Although these nurses generally wished they had a higher degree, they did not feel pursuing one was necessary. They did not perceive that their standard of patient care would change with further professional training involved in obtaining a higher educational degree. Furthermore, they did not perceive any distinctions in professional ability between themselves and colleagues with more advanced nursing degrees. The culture of service health care organizations in which associate's degree-prepared nurses are employed, as well as other factors, are likely directly responsible for the practicing nurses' lack of appreciation for the relevancy and rewards of returning to school.
Eye-Movement Analysis: A New Tool for Evaluating the Design of Visually Administered Instruments (Paper and Web) By

A data collection instrument that a respondent self-completes through the visual channel, such as on paper or over the Web, is visually administered. Although insightful in many ways, traditional methods of evaluating questionnaires, such as cognitive interviewing, usability testing, and experimentation may be insufficient when it comes to evaluating the design of visually administered questionnaires because these methods cannot directly identify information respondents perceive or the precise order in which they observe the information (Redline et al 1998). In this paper, we present the results of a study that was conducted to explore whether eye-movement analysis might prove a promising new tool for evaluating the design of visually administered questionnaires. Eye tracking hardware and software, which were originally developed at the Human for use with computer monitors, were adapted to track the eye movements of respondents answering three versions of a paper questionnaire. These versions were chosen for study because differences in the design of their branching instructions were hypothesized to affect eye-movements, which in turn may affect the accuracy of following the branching instructions (Redline and Dillman Forthcoming). Background Eye-movement analysis has been used in other fields, most notably reading and scene perception, to study cognitive processing (e.g., Rayner 1992; Rayner 1983). However, survey design research grew out of the interviewer-administered realm, which has been primarily focused on respondents' comprehension of the spoken language of questionnaires. Therefore, the mechanism by which respondents perceive information presented on paper questionnaires or over the Web, the eyes and their movements, has not received much attention until recently. Other reasons for the lack of eye-movement research in the survey field are its cost and relative difficulty. As others have noted, eye-movement research requires specialized knowledge, equipment and expertise to operate the equipment. In addition,
Experiences of Domestic Violence and Mental Disorders: A Systematic Review and Meta-Analysis

BACKGROUND
Little is known about the extent to which being a victim of domestic violence is associated with different mental disorders in men and women. We aimed to estimate the prevalence and odds of being a victim of domestic violence by diagnostic category and sex.


METHODS



STUDY DESIGN
Systematic review and meta-analysis.


DATA SOURCES
Eighteen biomedical and social sciences databases (including MEDLINE, EMBASE, PsycINFO); journal hand searches; scrutiny of references and citation tracking of included articles; expert recommendations, and an update of a systematic review on victimisation and mental disorder.


INCLUSION CRITERIA
observational and intervention studies reporting prevalence or odds of being a victim of domestic violence in men and women (aged ≥16 years), using validated diagnostic measures of mental disorder.


PROCEDURE
Data were extracted and study quality independently appraised by two reviewers.


ANALYSIS
Random effects meta-analyses were used to pool estimates of prevalence and odds.


RESULTS
Forty-one studies were included. There is a higher risk of experiencing adult lifetime partner violence among women with depressive disorders (OR 2.77 (95% CI 1.96-3.92), anxiety disorders (OR 4.08 (95% CI 2.39-6.97), and PTSD (OR 7.34 95% CI 4.50-11.98), compared to women without mental disorders. Insufficient data were available to calculate pooled odds for other mental disorders, family violence (i.e. violence perpetrated by a non-partner), or violence experienced by men. Individual studies reported increased odds for women and men for all diagnostic categories, including psychoses, with a higher prevalence reported for women. Few longitudinal studies were found so the direction of causality could not be investigated.


CONCLUSIONS
There is a high prevalence and increased likelihood of being a victim of domestic violence in men and women across all diagnostic categories, compared to people without disorders. Longitudinal studies are needed to identify pathways to being a victim of domestic violence to optimise healthcare responses.
Fuzzy and neural control of an induction motor

This paper presents some design approaches to hybrid control systems combining conventional control techniques with fuzzy logic and neural networks. Such a mixed implementation leads to a more effective control design with improved system performance and robustness. While conventional control allows different design objectives such as steady state and transient characteristics of the closed loop system to be specified, fuzzy logic and neural networks are integrated to overcome the problems with uncertainties in the plant parameters and structure encountered in the classical model-based design. Induction motors are characterised by complex, highly non-linear and time-varying dynamics and inaccessibility of some states and outputs for measurements, and hence can be considered as a challenging engineering problem. The advent of vector control techniques has partially solved induction motor control problems, because they are sensitive to drive parameter variations and performance may deteriorate if conventional controllers are used. Fuzzy logic and neural network-based controllers are considered as potential candidates for such an application. Three control approaches are developed and applied to adjust the speed of the drive system. The first control design combines the variable structure theory with the fuzzy logic concept. In the second approach neural networks are used in an internal model control structure. Finally, a fuzzy state feedback controller is developed based on the pole placement technique. A simulation study of these methods is presented. The effectiveness of these controllers is demonstrated for different operating conditions of the drive system.