Miracle-dz/UniFAR-FTUs huggingface dataset:
Work values: A theoretical overview and a model of their effects

Three main streams of research were identified in the field of work values. Based on a series of analyses using multidimensional techniques, the first set of studies attempted to identify the underlying factors or facets of the work values domain. A second group of investigations examined correlates of work values including antecedent and consequent variables. Finally, extensive research on differences in work values' pattern and level by culture have been reported. For purposes of integrating the diverse findings, the basic facets of the work values domain were identified and a model of their effects on behavior was suggested
Liver Image Segmentation Method Based on TransUNet and Axial Attention

In the task of liver image segmentation, due to the complex edges and internal structure of liver images, as well as the presence of adjacent organs, conventional medical image segmentation networks have exhibited local deficiencies in handling long-range dependencies and multi-scale information. These deficiencies may impact the accuracy of liver segmentation models. To address the small receptive fields of convolutional operations in previous medical image segmentation models and the information loss issue in the skip connections of the TransUNet model, this paper introduces Axial Attention and residual connections into the skip connections of the TransUNet model. Axial Attention weights the importance of different dimensions, better capturing and enhancing liver edges and other targets. Additionally, the use of residual connections effectively alleviates gradient vanishing and information loss issues. Experimental results demonstrate that the improved TransUNet model proposed in this paper achieves dice and IoU evaluation metrics of 97.2% and 94.0%, respectively, on the LiTS17 dataset, representing an improvement of 1.6 percentage points and 2.1 percentage points in Dice and IoU metrics, respectively, compared to the original TransUNet model. Its liver segmentation performance surpasses that of the original TransUNet model, and the improved TransUNet model can more accurately identify liver edges, enhancing feature representation and information flow, and providing more refined segmentation results.
Brain tissue oxygen reactivity: clinical implications and pathophysiology

It is generally accepted that PbO2 reflects the balance between O2 delivery and consumption (Diringer et al., 2007; Diringer, 2008). However, implementation in the perioperative period of various ventilatory modes using high FiO2 leads to a dramatic and non-physiologic increase in PbO2 with approximating levels of 147 ± 36 mmHg (McLeod et al., 2003). This phenomenon doesn't correlate with the extent of slight increase in arterial O2 content. At the same time, the jugular venous PO2 increases only slightly (37–40 mmHg) (Forkner et al., 2007). Moreover, hyperoxia does not affect significantly the regional CBF, and there is no improvement in cerebral metabolism with oxygen therapy (Magnoni et al., 2003; Diringer et al., 2007; Diringer, 2008; Xu et al., 2012). The PbO2 increase is more pronounced in edematous (but not necrotized) brain tissues compared to normal areas (Meixensberger et al., 1993). Although, this can be considered a positive phenomenon, it masks the real state of rCBF and local oxidative metabolism. Recording of high PbO2 absolute values may create a false impression of safety and negatively impact the clinical decision making. Apparently, better indicators of the status of energy exchange in the brain tissue are needed for practical use in the perioperative and critical care settings.
Decrease in Anti-HBs Antibodies over Time in Medical Students and Healthcare Workers after Hepatitis B Vaccination

Background Hepatitis B is one of the most important occupational hazards among healthcare workers (HCWs). This study aimed to measure the anti-HBs titres among the medical students and HCWs vaccinated against hepatitis B virus and to determine the association between anti-HBs levels and time since vaccination. Materials and Methods In this cross-sectional study, medical students and healthcare workers who had received all three doses of hepatitis B vaccination and completed at least six months after vaccination since the last dose were included. 3 ml blood was collected from subjects (n = 340) and anti-HBs titre was estimated using ELISA. Results A total of 340/400 subjects were aged between 18 and 60 years; 204 were females and 136 males. The median and interquartile range for time since vaccination were 5 and 5 years, respectively. Duration since vaccination was ≤5 years in 223 (65.5%), 6–10 years in 84 (24.7%), and >10 years in 33 (9.70%); among them, antibody titres were >10 mIU/ml in 94.1%, 79.7%, and 72.7% subjects, respectively. There was significant decline in antibody titres as duration of postvaccination increased. Conclusion The proportion of subjects who were unprotected after 5 and 10 years after vaccination were 20% and 27%, respectively. The need for a booster dose can be made mandatory at least for healthcare professionals.
Situational Prevention of Child Sexual Abuse

1 Introduction Richard Wortley and Stephen Smallbone (Griffith Univ) 2 Applying situational principles to sexual offenses against children Wortley and Smallbone 3 Situational and dispositional factors in child sexual molestation: A clinical perspective W.L. Marshall (emeritus Queen's Univ, Ontario), G. Serran and L. Marshall (Rockwood Psychological Services, Kingston, Ontario) 4 Prevention of sex crimes against children: Legislation, prevention and investigation L.M. J. Simon (E Tennessee State Univ) and K. Zgoba (New Jersey Dept of Corrections) 5 An empirically based situational prevention model for child sex abuse K.L. Kaufman, H. Mosher, M.S. MeganCarter and L. Estes (Portland State Univ in Oregon) 6 Convergence settings for non-predatory "boy lovers" P. Tremblay (Univ of Montreal) 7 The Internet and abuse images of children search, precriminal situations and opportunity M. Taylor and E. Quayle (University College, Cork) 8 Situational prevention and child sex offenders with an intellectual disability F. Lambrick (Victorian State-Wide Forensic Service) and W. Glaser (Melbourne Univ) 9 Is risk management enough? Approach and avoidance goals in the treatment of sex offenders L. Eccleston (Univ of Melbourne) and T. Ward (Victoria Univ, Wellington NZ) 10 Strategies adopted by sexual offenders to involve children in sexual activity B. Leclerc, J. Carpenter and J. Proulx (Univ of Montreal).
Close Dominance Graph: An Efficient Framework for Answering Continuous Top- $k$  Dominating Queries

There are two preference-based queries commonly used in database systems: (1) top-k query and (2) skyline query. By combining the ranking rule used in top-\(k\) query and the notion of dominance relationships utilized in the skyline query, a top-\(k\) dominating query emerges, providing a new perspective on data processing. This query returns the \(k\) records with the highest domination scores from the dataset. However, the processing of the top-\(k\) dominating query is complex when the dataset operates under a streaming model. With new data being continuously generated while stale data being removed from the database, a continuous top-\(k\) dominating query (cTKDQ) requires that updated results can be returned to users at any time. This work explores the cTKDQ problem and proposes a unique indexing structure, called a Close Dominance Graph (CDG), to support the processing of a cTKDQ. The CDG provides comprehensive information regarding the dominance relationship between records, which is vital in answering a cTKDQ with a limited search space. The update process for a cTKDQ is then converted to a simple update affecting a small portion of the CDG. Experimental results show that this scheme is able to offer much better performance when compared with existing solutions.
Two cases of vulval pigmented extramammary Paget’s disease: histochemical and immunohistochemical studies

We describe two Japanese female patients with pigmented extramammary Paget’s disease (EMPD); one patient had a dark brown plaque and the other had a reddish patch with a pigmented area, both affecting the vulval region. Histochemical and immunohistochemical examinations confirmed EMPD with melanocyte colonization; plump tumour cells with a large nucleus and pale cytoplasm that were positive for CAM 5.2 and CEA proliferated singly or in nests in the epidermis, and scattered among the tumour cells were many dendritic cells with a large amount of melanin that were positive for HMB‐45 and S‐100 protein. Fontana–Masson (FM) stain showed many positive cells with well‐developed dendritic processes within and around tumour nests. Histochemical and immunohistochemical studies of non‐pigmented EMPD cases on the same region showed that HMB‐45 positive cells were sparse or not detected at all, and that also FM staining‐positive cells were decreased or not detected, and their dendritic processes were poorly formed. The present study suggests that there might be heterogeneity in EMPD in terms of relationships between Paget’s cells and melanocytes.
New insights on the complex planetary nebula Hen 2-113

We report on infrared observations of the planetary nebula Hen 2-113 obtained with VLT/NACO, VLTI/MIDI, VLT/ISAAC and TIMMI at the ESO 3.6 m. Hen 2-113 exhibits a clear ring-like structure superimposed to a more diffuse environment visible in the L' (3.8 μ m), M' (4.78 μ m) and 8.7 μ m bands. No clear core at 8.7 μ m and no fringes through the N band could be detected for this object with MIDI. A qualitative interpretation of the object structure is proposed using a diabolo-like geometrical model. The PAH content of the nebula was also studied with ISAAC and TIMMI observations. This indicates that the PAHs are mostly concentrated towards the lobes of the diabolo and the bipolar lobes of the nebula. In L' band, a void $0.3\arcsec$ in diameter was discovered with NACO around the central source. The L' and M' fluxes from the central source were derived from NACO data indicating an important infrared excess with respect to the expected stellar emission based on stellar models and short wavelength data. The observed flux from this source in the L' and M' is about 300 and 800 times respectively than those expected from a model including only the central star. Moreover, the central object appears resolved in L' band with measured FWHM of 155 mas. This infrared excess can be explained by emission from a cocoon of hot dust ($T\sim1000$ K) with a total mass ~$10^{-9}~M_{\odot}$.
IrotateGrasp: automatic screen rotation based on grasp of mobile devices

Automatic screen rotation improves viewing experience and usability of mobile devices, but current gravity-based approaches do not support postures such as lying on one side, and manual rotation switches require explicit user input. iRotateGrasp automatically rotates screens of mobile devices to match users' viewing orientations based on how users are grasping the devices. Our insight is that users' grasps are consistent for each orientation, but significantly differ between different orientations. Our prototype used a total of 44 capacitive sensors along the four sides and the back of an iPod Touch, and uses support vector machine (SVM) to recognize grasps at 25Hz. We collected 6-users' usage under 108 different combinations of posture, orienta-tion, touchscreen operation, and left/right/both hands. Our offline analysis showed that our grasp-based approach is promising, with 80.9% accuracy when training and testing on different users, and up to 96.7% if users are willing to train the system. Our user study (N=16) showed that iRo-tateGrasp had an accuracy of 78.8% and was 31.3% more accurate than gravity-based rotation.
Functional and antigenic properties of complement receptor type 2, CR2

This is the first report demonstrating that C3d receptor (CR2) has functional activity in regulating complement cascade. Purified CR2 was examined for its cofactor activity in factor I-mediated cleavage of membrane-bound iC3b. CR2 plus C3b inactivator (I) released C3c from EA 125I-iC3b, and the release was inhibited when CR2 was preincubated with OKB7 monoclonal anti-CR2. Furthermore, immunoelectroblotting analysis showed crossreactivity of CR2 with 57H anti-CR1. These results indicate that CR2 has functional and antigenic similarity to CR1, thus providing a supporting evidence for placement of CR2 as a member of the recently defined gene family of C3- and C4-regulatory proteins composed of CR1, C4-binding protein, and factor H.
Impact of infection in hospitalized cirrhotic patients in a university hospital

Background: Infection increases the morbidity and mortality in liver cirrhosis patients. The aim of this study was to investigate the impact of infection related to survival and risk factors for death in adult patients with liver cirrhosis in a university hospital. Methods: In a retrospective cohort study of Brazilian hospitalized cirrhotic patients, medical records data were analysed, and all patients who have had one or more confirmed bacterial infection during admission were se-ected for the study. Also, some data as biochemical investigation, Child score, MELD estimation, and evolution and death event were included. Statistical analysis: chi-square, Fisher and Mann-Whitney tests were used. Uni and multivariate analysis were performed, according to Cox regression model. The significant statistical level was p 2.5 mg/dl had increased the risk of death of 4.1, 3.2 and 3.2, respectively. Conclusion: Bacterial infections in hospitalized cirrhotic patients deserve special care, mainly spontaneous bacterial peritonitis, and also patients whose hiponatremia, upper gastrointestinal bleeding, high levels of cre-atinine and MELD high score are found.
The struggle to control meanings: The French debate on the European constitution in the mass media

Abstract This article analyses the French debate on the Treaty establishing a Constitution for Europe (TCE) over the course of one year from the beginning of the referendum campaign until the period immediately after the Constitution's rejection between May and October 2005. Five representative print media are analysed to explain the rejection of the Treaty in the French referendum. Our discourse analysis of the French media shows that opponents of the TCE were more successful in initiating public debate and in defining the meaning of the TCE than its proponents. The most controversy was generated by the TCE's potential implications for France's social model and by concerns about how the TCE might affect Turkey's accession to the EU. The French constitutional debate generally focussed on French actors. But the scope of arguments and justifications clearly transcended national boundaries, providing the impetus for discussions of conflicting visions for the future of Europe.
TAMES: A Truthful Double Auction for Multi-Demand Heterogeneous Spectrums

To accommodate the soaring mobile broadband traffic, the Federal Communications Commission (FCC) in the U.S. sets out to retrieve under-utilized spectrum (e.g., TV Whitespace) and lay the groundwork for spectrum redistribution. Auction is an efficient way to allocate resources to those who value them the most. The large pool of spectrums to be released, especially the ones in TV Whitespace, consist of wide-range frequencies. Apart from spatial reuse, spectrum heterogeneity imposes new challenges for spectrum auction design: 1) Wireless service providers with different targeted cell coverages have different spectrum frequency preferences; 2) interference relationship is frequency-dependent due to frequency-selective signal fading. Unfortunately, existing spectrum auction mechanisms either assume spectrum valuation is homogeneous or use homogeneous interference graph to group buyers who can reuse the same spectrum. In this paper, we propose TAMES, an auction framework for heterogeneous spectrum transaction. We consider a multi-seller-multi-buyer double auction, in which every buyer submits a bid, consisting of the spectrum demand and a bidding profile of prices for spectrums contributed by all sellers. A novel buyer grouping approach is proposed to tackle the problem of heterogeneous interference graph. TAMES is proved to be truthful as well as individually rational. The simulation results show that TAMES significantly improves spectrum utilization, sellers' revenue and buyers' utility by making smart use of spectrum heterogeneity, while keeping low running time comparable with existing auction mechanisms. Moreover, via simulation, we show how to help buyers obtain continuous spectrums which further improves buyers' satisfaction.
Association Rules of Data Mining Application for Respiratory Illness by Air Pollution Database

 Abstract— Exposure to air pollution has been related with vary adverse health effects. This study aims to assess the impact of air pollution to the number of hospitalization for respiratory illness in Kuala Lumpur as the case study. Kuala Lumpur, the capital city of Malaysia, is an urban and industrialized city in the tropical climate of Malaysia that often experiencing has highest record of severe respiratory illness due to air pollution. The effects of air pollution on health triggers oxidative stress and inflammation, and it is plausible that high levels of air pollutants causing the high number of hospitalizations. In this study, an intelligent approach in data mining called association rules has been used based on its capability to search for an interesting relationship among attributes in a larger database and to its ability to handle uncertain database that often occurs in the real world problem. Association rules mining is a discovery of association relationships, frequent patterns or correlations among sets of items or elements in databases. In air pollution and healthcare database, association rules are useful as they offer the possibility to conduct intelligent diagnosis and extract invaluable information and build important knowledge bases quickly and automatically, in order to develop effective strategies to minimize the health exposure to the air pollution. A total of 2102 data were obtained from the Department of Environment Malaysia and Malaysian Ministry of Health. There were six attributes used as input and one attribute as an output for the association rule mining. Data has be en through a pre-processing stage to facilitate the requirement of the modeling process. As for conclusion, association rules mining has given a promising result with more than 90% accuracy and the rules obtained have contributing to knowledge for the respiratory illness.
Embedding Representations of Diagnosis Codes for Outlier Payment Detection

Models for detecting payment outliers from healthcare claims often rely on sparse, high-dimensional feature vector encodings of diagnosis codes. These encodings tend to lose inherent relationships between the diagnosis codes, and lead to more complex and less efficient models. In this paper, we propose a novel approach that leverages word and graph embeddings to represent diagnosis codes, particularly when predicting healthcare claim payment amounts within an outlier detection model. Word embeddings are generated using BioSentVec, utilizing medical descriptions of diagnosis codes extracted from the Unified Medical Language System (UMLS) database. Graph embeddings are created using node2vec applied to a claims graph network that connects claims information with the diagnosis code hierarchy. On a dataset of 36 million claims, the graph embeddings outperformed other feature representations, improving $\mathrm{R}^{2}$ by over 99% compared to sparse encodings. Embedding representations produce significantly smaller dense vectors that encapsulate more information than large, sparse multi-hot encoded diagnosis code vectors. These dense embedded vectors provide meaningful representations of diagnosis codes, significantly improving payment prediction and outlier detection capabilities.
Joint Probabilistic Data Association Tracker for Extended Target Tracking Applied to X-Band Marine Radar Data

X-band marine radar systems are flexible and low-cost tools for monitoring multiple targets in a surveillance area. Although they may suffer from several sources of interference, e.g., sea clutter, they can provide high-resolution measurements in both space and time. Such features offer the opportunity to get accurate information not only about the target kinematics, i.e., positions and velocities, as other conventional radars, but also about the targets' extents. This research area is named extended target tracking (ETT). In this paper, we propose a signal processing chain composed by a detector and a joint probabilistic data association (JPDA) tracker to handle the problem of multiple ETT and to jointly estimate both the targets' kinematics and their sizes, i.e., length and width. The performance assessment is conducted on real data acquired by an X-band marine radar located in the Gulf of La Spezia, Italy. The experimental results demonstrate the ability of the processing chain to reach high performance with a limited computational burden.
Does Alcohol Damage Female Brains More?

As researchers begin to probe this question, they are finding surprising and sometimes contradictory evidence that there are sex-specific differences in alcohol9s effects on the brain. Using increasingly precise molecular and brain imaging techniques, neuroscientists have been scrutinizing brains of both men and women, as well as of male and female rats. The findings reinforce the idea that biological differences between male and female brains contribute to increased damage in women, including larger reductions in brain volume and increases in cerebrospinal fluid volume.
Twenty‐five pitfalls in the analysis of diffusion MRI data

Obtaining reliable data and drawing meaningful and robust inferences from diffusion MRI can be challenging and is subject to many pitfalls. The process of quantifying diffusion indices and eventually comparing them between groups of subjects and/or correlating them with other parameters starts at the acquisition of the raw data, followed by a long pipeline of image processing steps. Each one of these steps is susceptible to sources of bias, which may not only limit the accuracy and precision, but can lead to substantial errors. This article provides a detailed review of the steps along the analysis pipeline and their associated pitfalls. These are grouped into 1 pre‐processing of data; 2 estimation of the tensor; 3 derivation of voxelwise quantitative parameters; 4 strategies for extracting quantitative parameters; and finally 5 intra‐subject and inter‐subject comparison, including region of interest, histogram, tract‐specific and voxel‐based analyses. The article covers important aspects of diffusion MRI analysis, such as motion correction, susceptibility and eddy current distortion correction, model fitting, region of interest placement, histogram and voxel‐based analysis. We have assembled 25 pitfalls (several previously unreported) into a single article, which should serve as a useful reference for those embarking on new diffusion MRI‐based studies, and as a check for those who may already be running studies but may have overlooked some important confounds. While some of these problems are well known to diffusion experts, they might not be to other researchers wishing to undertake a clinical study based on diffusion MRI. Copyright © 2010 John Wiley & Sons, Ltd.
Charcot‐Marie‐Tooth Disease Type 2

ABSTRACT: No unique genes have yet been found for CMT2, but both Cx32 and P0 appear to contribute to the phenotype. Not surprisingly, CMT2 is likely to display much more genetic heterogeneity than CMT1. However, it is also likely continue to challenge previous concepts on classification and relationship of traditional inherited phenotypes in neurology. Future work on CMT2 should produce insight not only into the cellular interactions of the peripheral nerve especially Schwann cell and axon relationships, but also into idiopathic neuropathy.