nils-herrmann/clean_scirepeval huggingface dataset:
Adolescent social rejection alters pain processing in a CB1 receptor dependent manner
Venue: European Neuropsychopharmacology

Experiences of social rejection represent a major source of distress and in particular peer rejection during adolescence has been implicated in various psychiatric disorders. Moreover, experimentally induced acute social rejection alters pain perception in humans, implicating overlapping neurocircuits for social and physical pains. We recently demonstrated that rearing of adolescent Wistar rats with inadequate, less playful play partners (Fischer 344) persistently decreases pain sensitivity, although the detailed mechanisms mediating the aversiveness during the social encounter remained unsettled. With the present study we examined the behavioral performance during acute interaction of female adolescent Wistar rats with either age matched same strain partners or rats from the Fischer 344 strain. We here identify the low responsiveness upon playful attacks, which appears to be characteristic for social play in the Fischer 344 strain, as one of the main aversive components for adolescent Wistar animals during cross strain encounters, which subsequently diminishes thermal pain reactivity. A detailed behavioral analysis further revealed increased ultrasonic vocalization at 50kHz and an increased frequency of playful attacks for adolescent Wistar animals paired with a Fischer 344 rat compared to same strain control pairs. Finally, an acute injection of a subthreshold dose of the cannabinoid type 1 receptor inverse agonist/antagonist SR141716 before the social encounter abolished enhanced play soliciting behavior in Wistar/Fischer 344 pairs as well as the behavioral consequences of the rejection experience in adolescent Wistar rats, further emphasizing an important modulatory role of the endocannabinoid system in mediating the effects of social behavior and social pain.
Taxonomy Regularized Semantic Deep Convolutional Neural Networks
Venue: ECCV

We propose a novel convolutional network architecture that abstracts and differentiates the categories based on a given class hierarchy. We exploit grouped and discriminative information provided by the taxonomy, by focusing on the general and specific components that comprise each category, through the min and difference pooling operations. Without using any additional parameters or substantial increase in time complexity, our model is able to learn the features that are discriminative for classifying often confused sub classes belonging to the same superclass, and thus improve the overall classification performance. We validate our method on CIFAR 100, Places 205, and ImageNet Animal datasets, on which our model obtains significant improvements over the base convolutional networks.
The Relationship between Change Management Strategy and Successful Enterprise Resource Planning ERP Implementations A Theoretical Perspective

This research aims to explore the critical success factors in change management strategy in order to guarantee a successful implementation of an organisation's Enterprise Resource Planning (ERP) system. A comprehensive literature was reviewed. The findings indicate that successful change management strategy consists three phases: preparing to change, implementation of change, and measuring the impact on user. In the preparing to change phase, organizational leadership should prepare to change organisation culture and structure must be managed by watching individuals, organization and culture. Then, in the implementation of change phase, organizations must apply the following factors: project leadership/team effectiveness factors, end user communication factor, culture factor, end user training/involvement factors and development factor. Finally, in measuring the impact on user phase, organizations must measure the impact of change strategy factors on the end user, also organizations pay attention to feedback in the previous three phases to modify mistakes and develop change strategy.
High recoverable energy density over a wide temperature range in Sr modified (Pb,La)(Zr,Sn,Ti)O3 antiferroelectric ceramics with an orthorhombic phase

Via incorporation of Sr2+ into (Pb,La)(Zr,Sn,Ti)O3, high recoverable energy density (Ure) is achieved in (Pb,Sr,La)(Zr,Sn,Ti)O3 (PSLZST) ceramics. All Sr2+ modified ceramics exhibit orthorhombic antiferroelectric (AFE) characteristics, and have higher ferroelectric AFE phase switching electric field (EA, proportional to Ure) than the base composition with a tetragonal AFE phase. By properly adjusting the Sr2+ content, the Ure of PSLZST ceramics is greatly improved. This is attributed to the substitution of Pb2+ by Sr2+ with a smaller ion radius, which decreases the tolerance factor leading to enhanced AFE phase stability and thus increased EA. The best energy storage properties are achieved in the PSLZST ceramic with a Sr2+ content of 0.015. It exhibits a maximum room temperature Ure of 5.56 J/cm3, the highest value achieved so far for dielectric ceramics prepared by a conventional sintering technique, and very small energy density variation 4.9 J/cm3) over
Asymptotic limits of some models for sound propagation in porous media and the assignment of the pore characteristic lengths.
Venue: The Journal of the Acoustical Society of America

Modeling of sound propagation in porous media requires the knowledge of several intrinsic material parameters, some of which are difficult or impossible to measure directly, particularly in the case of a porous medium which is composed of pores with a wide range of scales and random interconnections. Four particular parameters which are rarely measured non acoustically, but used extensively in a number of acoustical models, are the viscous and thermal characteristic lengths, thermal permeability, and Pride parameter. The main purpose of this work is to show how these parameters relate to the pore size distribution which is a routine characteristic measured non acoustically. This is achieved through the analysis of the asymptotic behavior of four analytical models which have been developed previously to predict the dynamic density and/or compressibility of the equivalent fluid in a porous medium. In this work the models proposed by Johnson, Koplik, and Dashn [ (1987) Champoux and Allard [ 1975 1979 (1991) Pride, Morgan, and Gangi [ 4978 (1993) and Horoshenkov, Attenborough, and Chandler Wilde [ (1998) are compared. The findings are then used to compare the behavior of the complex dynamic density and compressibility of the fluid in a material pore with uniform and variable cross sections.
An Enhanced PSO Based Clustering Energy Optimization Algorithm for Wireless Sensor Network
Venue: TheScientificWorldJournal

Wireless Sensor Network (WSN) is a network which formed with a maximum number of sensor nodes which are positioned in an application environment to monitor the physical entities in a target area, for example, temperature monitoring environment, water level, monitoring pressure, and health care, and various military applications. Mostly sensor nodes are equipped with self supported battery power through which they can perform adequate operations and communication among neighboring nodes. Maximizing the lifetime of the Wireless Sensor networks, energy conservation measures are essential for improving the performance of WSNs. This paper proposes an Enhanced PSO Based Clustering Energy Optimization (EPSO CEO) algorithm for Wireless Sensor Network in which clustering and clustering head selection are done by using Particle Swarm Optimization (PSO) algorithm with respect to minimizing the power consumption in WSN. The performance metrics are evaluated and results are compared with competitive clustering algorithm to validate the reduction in energy consumption.
Construcao de um software com o com o Processo de Enfermagem em Terapia Intensiva* Construction of a software with the Nursing Process in Intensive Care

To describe the strategies used to built a software called Information System with the Nursing Process in Intensive Care (SIPETi)  A descriptive study to present the creation of a software with the steps of the Nursing Process for adult intensive care units.  The first step was to select the Theory of Basic Human Needs. Following were to develop and validate the data collection instruments that guided the development of the history and physical examination modules. Scales and predictive values were inserted into these modules. After, data were mapped to the nursing diagnoses of NANDA International. For each diagnosis nursing prescriptions were created. Colors were selected and icons designed to facilitate human machine interaction.  It was developed software with the steps of the nursing process. A nursing theory was used as a system matrix. Standardized languages were used in its database.
The Pursuit Of Oblivion A Global History Of Narcotics

Thank you very much for reading the pursuit of oblivion a global history of narcotics. Maybe you have knowledge that, people have search numerous times for their favorite readings like this the pursuit of oblivion a global history of narcotics, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they cope with some malicious bugs inside their laptop.
Diabetics on Narcotics Are Less Likely to Achieve Excellent Bowel Preparation Than Are Patients with Either Condition
Venue: Digestive Diseases and Sciences

BackgroundDiabetes and chronic narcotic use negatively affect the quality of bowel preparation before colonoscopy.AimTo investigate whether narcotic use and diabetes have an additive negative impact on bowel preparation.Patients and MethodsWe performed a retrospective study of 2841 patients (mean age 61 10.2; 94% male) who received outpatient colonoscopies at our Veterans Affairs Medical Center between June 2012 and December 2014. We collected information related to demographics, body mass index, indications, and medical/surgical history (diabetes mellitus, stroke, cirrhosis, dementia, constipation, hypothyroidism, and use of narcotics or antidepressants/anxiolytics for more than three months) Patients were classified into four groups: (1) diabetics on narcotics, (2) diabetics only, (3) on narcotics only, and (4) neither diabetic nor using narcotics. Quality of the bowel preparation was scored using the Boston Bowel Preparation Scale (BBPS) and categorized as either excellent (BBPS =7, with no individual segment scoring <2) or not excellent (BBPS <7) Multivariate logistic regression analysis was performed to identify the combined impact of narcotic use and diabetes on bowel preparation.ResultsBowel preparation quality was excellent in 49% Thirty eight percent of patients with diabetes who were using narcotics (adjusted OR 0.6, CI [0.4, 0.8] achieved excellent bowel preparation compared with 44% (adjusted OR 0.7, CI [0.6, 0.9] of patients on narcotics only, 48% (adjusted OR 0.8, CI [0.7, 0.9] of diabetics only, and 54% of patients with neither condition.ConclusionConcomitant narcotic use and diabetes have a compounding effect on the quality of bowel preparation prior to colonoscopy.
Rapid prediction of ochratoxin A producing strains of Penicillium on dry cured meat by MOS based electronic nose.
Venue: International journal of food microbiology

The availability of rapid diagnostic methods for monitoring ochratoxigenic species during the seasoning processes for dry cured meats is crucial and constitutes a key stage in order to prevent the risk of ochratoxin A (OTA) contamination. A rapid, easy to perform and non invasive method using an electronic nose (e nose) based on metal oxide semiconductors (MOS) was developed to discriminate dry cured meat samples in two classes based on the fungal contamination: class P (samples contaminated by OTA producing Penicillium strains) and class NP (samples contaminated by OTA non producing Penicillium strains) Two OTA producing strains of Penicillium nordicum and two OTA non producing strains of Penicillium nalgiovense and Penicillium salamii, were tested. The feasibility of this approach was initially evaluated by e nose analysis of 480 samples of both Yeast extract sucrose (YES) and meat based agar media inoculated with the tested Penicillium strains and incubated up to 14 days. The high recognition percentages (higher than 82% obtained by Discriminant Function Analysis (DFA) either in calibration and cross validation (leave more out approach) for both YES and meat based samples demonstrated the validity of the used approach. The e nose method was subsequently developed and validated for the analysis of dry cured meat samples. A total of 240 e nose analyses were carried out using inoculated sausages, seasoned by a laboratory scale process and sampled at 5, 7, 10 and 14 days. DFA provided calibration models that permitted discrimination of dry cured meat samples after only 5 days of seasoning with mean recognition percentages in calibration and cross validation of 98 and 88% respectively. A further validation of the developed e nose method was performed using 60 dry cured meat samples produced by an industrial scale seasoning process showing a total recognition percentage of 73% The pattern of volatile compounds of dry cured meat samples was identified and characterized by a developed HS SPME/GC MS method. Seven volatile compounds (2 methyl 1 butanol, octane, 1R a pinene, d limonene, undecane, tetradecanal, 9 (Z) octadecenoic acid methyl ester) allowed discrimination between dry cured meat samples of classes P and NP. These results demonstrate that MOS based electronic nose can be a useful tool for a rapid screening in preventing OTA contamination in the cured meat supply chain.
A rapid and highly specific immunofluorescence method to detect Escherichia coli O157:H7 in infected meat samples.
Venue: International journal of food microbiology

Developing rapid and sensitive methods for the detection of pathogenic Escherichia coli O157:H7 remains a major challenge in food safety. The present study attempts to develop an immunofluorescence technique that uses Protein A coated, magnetic beads as the platform. The immunofluorescence technique described here is a direct detection method in which E. coli O157:H7 cells are labeled with tetramethylrhodamine (TRITC) fluorescent dye. TRITC labeled bacteria are captured by the desired antibody (Ab) which is immobilized on the Protein A magnetic beads. Fluorescence of the captured cells is recorded in a fluorescence spectrophotometer, where the fluorescence values are shown to be directly proportional to the number of bacteria captured on the immunobead. The formation of an immunocomplex is evidenced by the fluorescence of the beads under microscopy. The Ab immobilization procedure is also evidenced by microscopy using fluorescein isothiocyanate (FITC) labeled Ab. The total experimental time, including preparation of the sample, is just 1h. The minimum bacterial concentration detected by this method is 1.2+ 0.06x10(3)CFUml( 1) The high specificity of this method was proved by using the specific monoclonal Ab (MAb) in the test. The proposed protocol was successfully validated with E. coli O157:H7 infected meat samples. This approach also opens the door for the detection of other bacterial pathogens using Protein A magnetic beads as a detection platform.
Detection of Salmonella enterica in Meat in Less than 5 Hours by a Low Cost and Noncomplex Sample Preparation Method
Venue: Applied and Environmental Microbiology

Salmonella is recognized as one of the most important foodborne bacteria and has wide health and socioeconomic impacts worldwide. Fresh pork meat is one of the main sources of Salmonella, and efficient and fast methods for detection are therefore necessary. Current methods for Salmonella detection in fresh meat usually include >16 h of culture enrichment, in a few cases <12 h, thus requiring at least two working shifts. Here, we report a rapid <5 h) and high throughput method for screening of Salmonella in samples from fresh pork meat, consisting of a 3 h enrichment in standard buffered peptone water and a real time PCR compatible sample preparation method based on filtration, centrifugation, and enzymatic digestion, followed by fast cycling real time PCR detection. The method was validated in an unpaired comparative study against the Nordic Committee on Food Analysis (NMKL) reference culture method 187. Pork meat samples (n 140) were either artificially contaminated with Salmonella at 0, 1 to 10, or 10 to 100 CFU/25 g of meat or naturally contaminated. Cohen's kappa for the degree of agreement between the rapid method and the reference was 0.64, and the relative accuracy, sensitivity, and specificity for the rapid method were 81.4, 95.1, and 97.9% respectively. The 50% limit of detections (LOD50s) were 8.8 CFU/25 g for the rapid method and 7.7 CFU/25 g for the reference method. Implementation of this method will enable faster release of Salmonella low risk meat, providing savings for meat producers, and it will help contribute to improved food safety.  While the cost of analysis and hands on time of the presented rapid method were comparable to those of reference culture methods, the fast product release by this method can provide the meat industry with a competitive advantage. Not only will the abattoirs save costs for work hours and cold storage, but consumers and retailers will also benefit from fresher meat with a longer shelf life. Furthermore, the presented sample preparation might be adjusted for application in the detection of other pathogenic bacteria in different sample types.
Transient response of delaminated composite conical shells due to multiple low velocity impacts in hygrothermal environment

This paper presents a finite element based method to investigate the hygrothermal effects on the transient dynamic response of delaminated composite pretwisted conical shells with initial twist impacted at arbitrary locations by multiple spherical impactors. An eight noded shell element has been used in the present analysis based on the Mindlin's theory. The generalized dynamic equilibrium equation is derived from Lagrange's equation of motion neglecting Coriolis effect for moderate rotational speeds. The multi point constraint algorithm has been incorporated to ensure the compatibility of deformation and equilibrium of resultant forces and moments at the delamination crack front. The indentation laws as proposed by Hertz have been implemented to compute the contact force and displacement arising from each impact on specific locations of delaminated conical shells already prestressed by residual thermal or moisture strains. Results have been presented to depict the influence of important parameters like, twist angle, size and location of delamination, velocity and mass of the impactors and the time delay between the impactors on the multiple impact response of delaminated composite conical shells in hygrothermal environment.
The impact of detraining on cardiac autonomic function and specific endurance and muscle power performances of high level endurance runners.
Venue: The Journal of sports medicine and physical fitness

The purpose of this study was to analyze the effects of four weeks of training cessation (TC) on specific endurance performance, resting and postexercise heart rate variability (HRV) and neuromuscular capacities of high level endurance runners.  Eighteen endurance runners, 8 men and 10 women (25.5+ 7.5 years; 166.9+ 7.6 cm; 54.2+ 6.9 kg) took part in this study. The 3000 m time trial performance, resting HRV, 5' 5' test, squat and countermovement jumps (SJ and CMJ, respectively) and mean propulsive power in the jump squat exercise relative to body mass (MPP JS REL) were performed pre and immediately following the 4 week TC. The inference based on magnitudes were used to analyze the differences between pre and post values.  The time in the 3000 m time trial was almost certainly higher after TC. A very likely decrease was noticed in the resting HRV Index after the TC period. The differences in all variables analyzed during the 5' 5' test were rated as unclear. No differences were observed in SJ and CMJ comparing the pre and post moments of TC, while the MPP JS REL was very likely improved after the TC period.  The resting HRV accompanied the reductions in the specific endurance performance while the 5' 5' test variables did not. The lack of training stimulus led to improvement in the MPP JS REL, possibly due to the withdrawal of specific endurance training, which strongly concurs with neuromuscular performance.
A Unified Framework for Compositional Fitting of Active Appearance Models
Venue: International Journal of Computer Vision

Active appearance models (AAMs) are one of the most popular and well established techniques for modeling deformable objects in computer vision. In this paper, we study the problem of fitting AAMs using compositional gradient descent (CGD) algorithms. We present a unified and complete view of these algorithms and classify them with respect to three main characteristics: (i) cost function; (ii) type of composition; and (iii) optimization method. Furthermore, we extend the previous view by: (a) proposing a novelBayesian cost function that can be interpreted as a general probabilistic formulation of the well known project out loss; (b) introducing two new types of composition, asymmetric and bidirectional, that combine the gradients of both image and appearance model to derive better convergent and more robust CGD algorithms; and (c) providing new valuable insights into existent CGD algorithms by reinterpreting them as direct applications of the Schur complement and the Wiberg method. Finally, in order to encourage open research and facilitate future comparisons with our work, we make the implementation of the algorithms studied in this paper publicly available as part of the Menpo Project (http:/www.menpo.org)
Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images
Venue: International Journal of Computer Vision

Fitting algorithms for Active Appearance Models (AAMs) are usually considered to be robust but slow or fast but less able to generalize well to unseen variations. In this paper, we look into AAM fitting algorithms and make the following orthogonal contributions: We present a simple "project out" optimization framework that unifies and revises the most well known optimization problems and solutions in AAMs. Based on this framework, we describe robust simultaneous AAM fitting algorithms the complexity of which is not prohibitive for current systems. We then go on one step further and propose a new approximate project out AAM fitting algorithm which we coin Extended Project Out Inverse Compositional (E POIC) In contrast to current algorithms, E POIC is both efficient and robust. Next, we describe a part based AAM employing a translational motion model, which results in superior fitting and convergence properties. We also show that the proposed AAMs, when trained "in the wild" using SIFT descriptors, perform surprisingly well even for the case of unseen unconstrained images. Via a number of experiments on unconstrained human and animal face databases, we show that our combined contributions largely bridge the gap between exact and current approximate methods for AAM fitting and perform comparably with state of the art face alignment systems.