Miracle-dz/UniFAR-FTUs huggingface dataset:
An exploration into service users' and staff experiences of a medium secure setting

Despite a growing literature base related to both compassionate care and work-related stress in healthcare settings, there is a lack of empirical studies investigating the relationship between these concepts, particularly in medium secure settings. This mixed methods study explored the relationship between compassion (The Compassion Scale) and work-related stress (The HSE Management Standards Toolkit) from the self-report of 51 members of staff in a medium secure setting, including semi-structured interviews with 12 participants. On the quantitative measures, the relationship between self-reported compassion and work-related stress on the quantitative measures was found to be statistically non-significant. However, elements of compassion were found to significantly predict subscales of work-related stress such that high levels of elements of compassion were found to predict higher levels of subscales of work-related stress. Participants constructed several meanings of compassion and its role in the care of the patients they worked with. Several consequences of occupational demands were cited including an increase in work-related stress and less time to build therapeutic relationships or to develop compassion towards patients. The findings of this study can be used to inform the development of staff interventions. Increased consistency of staff groups, increased debriefing opportunities and a review of paperwork responsibilities within staff teams have also been recommended.
Quantitative analysis of nailfold capillary morphology in patients with fibromyalgia

Background/Aims Nailfold capillaroscopy (NFC) has been used to examine morphological and functional microcirculation changes in connective tissue diseases. It has been demonstrated that NFC patterns reflect abnormal microvascular dynamics, which may play a role in fibromyalgia (FM) syndrome. The aim of this study was to determine NFC patterns in FM, and their association with clinical features of FM. Methods A total of 67 patients with FM, and 30 age- and sex-matched healthy controls, were included. Nailfold capillary patterns were quantitatively analyzed using computerized NFC. The parameters of interest were as follows: number of capillaries within the central 3 mm, deletion score, apical limb width, capillary width, and capillary dimension. Capillary dimension was determined by calculating the number of capillaries using the Adobe Photoshop version 7.0. Results FM patients had a lower number of capillaries and higher deletion scores on NFC compared to healthy controls (17.3 ± 1.7 vs. 21.8 ± 2.9, p < 0.05; 2.2 ± 0.9 vs. 0.7 ± 0.6, p < 0.05, respectively). Both apical limb width (µm) and capillary width (µm) were significantly decreased in FM patients (1.1 ± 0.2 vs. 3.7 ± 0.6; 5.4 ± 0.5 vs. 7.5 ± 1.4, respectively), indicating that FM patients have abnormally decreased digital capillary diameter and density. Interestingly, there was no difference in capillary dimension between the two groups, suggesting that the length or tortuosity of capillaries in FM patients is increased to compensate for diminished microcirculation. Conclusions FM patients had altered capillary density and diameter in the digits. Diminished microcirculation on NFC may alter capillary density and increase tortuosity.
An International Survey of the Wellbeing of Employees in the Business Process Outsourcing Industry

The project described in this article was part of a larger program on wellbeing at work and involved an international survey of staff in the business process outsourcing industry. The survey used the Smith Wellbeing Questionnaire (SWELL) and the results showed that this measured both positive and negative aspects of wellbeing. The sample reported high levels of stress which was predicted by job demands and lack of control and support. High levels of control/support were associated with greater job satisfaction.
The spatial relation features for describing objects relationships within image

Spatial features has gained attention in CBIR researches as a mean to represent image properties. These features, presented via Spatial Relation Features (SRF) such left, right, on and in can provide fine queries to locate object location as well as its relation with other object within an image. Although spatial features play an important, yet, there is still less effort done to collect them in proper manner which yield difficulties to use them for spatial-based image processing research. In order to overcome this lack, we presented our library research work in finding the SRF that have been used in computer science research for describing object's spatial relationships within image. Our work managed to produce collection of SRF found in prior literatures which are later listed and described in proper tables. Apart from that, we also described categories that are used to group these SRF in fine arrangement based on their usage. After updated the SRF list, we manage to derive 24 set of SRF recorded under three categories namely topology, orientation and metric.
Motor empathy is a consequence of misattribution of sensory information in observers

Human behavior depends crucially on the ability to interact with others and empathy has a critical role in enabling this to occur effectively. This can be an unconscious process and based on natural instinct and inner imitation (Montag et al., 2008) responding to observed and executed actions (Newman-Norlund et al., 2007). Motor empathy relating to painful stimuli is argued to occur via the mirror system in motor areas (Rizzolatti and Luppino, 2001). Here we investigated the effects of the location of emotional information on the responses of this system. Motor evoked potential (MEP) amplitudes from the right first dorsal interosseus (FDI) muscle in the hand elicited by single pulses of transcranial magnetic stimulation (TMS) delivered over the left motor cortex were measured while participants observed a video of a needle entering a hand over the FDI muscle, representing a painful experience for others. To maintain subjects’ internal representation across different viewing distances, we used the same size of hand stimuli both in peripersonal and extrapersonal space. We found a reduced MEP response, indicative of inhibition of the corticospinal system, only for stimuli presented in peripersonal space and not in extrapersonal space. This empathy response only occurring for near space stimuli suggests that it may be a consequence of misidentification of sensory information as being directly related to the observer. A follow up experiment confirmed that the effect was not a consequence of the size of the stimuli presented, in agreement with the importance of the near space/far space boundary for misattribution of body related information. This is consistent with the idea that empathy is, at least partially, a consequence of misattribution of perceptual information relating to another to the observer and that pain perception is modulated by the nature of perception of the pain.
OVAL: the CMS Testing Robot

Oval is a testing tool which help developers to detect unexpected changes in the behavior of their software. It is able to automatically compile some test programs, to prepare on the fly the needed configuration files, to run the tests within a specified Unix environment, and finally to analyze the output and check expectations. Oval does not provide utility code to help writing the tests, therefore it is quite independant of the programming/scripting language of the software to be tested. It can be seen as a kind of robot which apply the tests and warn about any unexpected change in the output. Oval was developed by the LLR laboratory for the needs of the CMS experiment, and it is now recommended by the CERN LCG project.
A comparison of multiuser receivers for cellular CDMA

We present a comparison of four of the most discussed multiuser receiver structures: the decorrelator, the minimum mean square error (MMSE) receiver, the multistage parallel interference cancellation receiver, and the successive interference cancellation receiver. Comparisons are based on both theoretical analysis and simulation results. We examine the bit error rate (BER) performance in AWGN, Rayleigh fading, and near/far channels, as well as the computational complexity. Finally, we present results for non-coherent implementations of the aforementioned receivers.
Anesthetics Impact the Resolution of Inflammation

Background Local and volatile anesthetics are widely used for surgery. It is not known whether anesthetics impinge on the orchestrated events in spontaneous resolution of acute inflammation. Here we investigated whether a commonly used local anesthetic (lidocaine) and a widely used inhaled anesthetic (isoflurane) impact the active process of resolution of inflammation. Methods and Findings Using murine peritonitis induced by zymosan and a systems approach, we report that lidocaine delayed and blocked key events in resolution of inflammation. Lidocaine inhibited both PMN apoptosis and macrophage uptake of apoptotic PMN, events that contributed to impaired PMN removal from exudates and thereby delayed the onset of resolution of acute inflammation and return to homeostasis. Lidocaine did not alter the levels of specific lipid mediators, including pro-inflammatory leukotriene B4, prostaglandin E2 and anti-inflammatory lipoxin A4, in the cell-free peritoneal lavages. Addition of a lipoxin A4 stable analog, partially rescued lidocaine-delayed resolution of inflammation. To identify protein components underlying lidocaine's actions in resolution, systematic proteomics was carried out using nanospray-liquid chromatography-tandem mass spectrometry. Lidocaine selectively up-regulated pro-inflammatory proteins including S100A8/9 and CRAMP/LL-37, and down-regulated anti-inflammatory and some pro-resolution peptides and proteins including IL-4, IL-13, TGF-â and Galectin-1. In contrast, the volatile anesthetic isoflurane promoted resolution in this system, diminishing the amplitude of PMN infiltration and shortening the resolution interval (Ri) ∼50%. In addition, isoflurane down-regulated a panel of pro-inflammatory chemokines and cytokines, as well as proteins known to be active in cell migration and chemotaxis (i.e., CRAMP and cofilin-1). The distinct impact of lidocaine and isoflurane on selective molecules may underlie their opposite actions in resolution of inflammation, namely lidocaine delayed the onset of resoluion (Tmax), while isoflurane shortened resolution interval (Ri). Conclusions Taken together, both local and volatile anesthetics impact endogenous resolution program(s), altering specific resolution indices and selective cellular/molecular components in inflammation-resolution. Isoflurane enhances whereas lidocaine impairs timely resolution of acute inflammation.
Improvement of One Password-Based Authenticated Key Exchange Protocol

In 2006, Wu et al proposed a password-based authenticated key exchange protocol. It is considered much more from the practical perspective. There are three hash functions required. In this paper, we revisit and improve it. Our improvement only needs one hash function, without loss of any security. In contrast, the revisited protocol saves about 2/3 memories for the system parameters. The basic idea behind the improvement is that: a partial-preimage resistance one-way function should be as difficult to recover any substring as to recover the entire input.
Courses – an Adaptive Learning Framework

Diverse student needs present a challenge in online education. Massive Open Online Courses (MOOCs) attract many diverse learners, so there is need to tailor the course instruction to meet the students’ individual needs. This paper investigates an adaptive MOOC system from a personalised learning perspective. Firstly, we review existing literature on adaptive online learning systems, bringing together findings on the relationship to both effective learning support and motivation to study. Secondly, we outline a proposed framework, which tailors the recommendation of instructional material using the learner’s profile. In this model, the system can present the user with a suggested learning path to meet appropriate learning objectives. As the student progresses, further recommendations can be made with appropriate resources to enhance and develop the learner’s understanding of the previous topics. Adaptation and personalised recommendation have been noted as providing the means for an online system to replicate, in part, the function of a human tutor. However, there are drawbacks both in the limitations of providing the best recommendations and in the danger of users having little control over their own learning. Allowing learners to manage their learning by setting objectives and developing paths has been associated with encouraging effective learning skills, increasing collaboration and enhancing learning. Our framework therefore supports users in creating their own paths, allowing them to make informed choices about appropriate resources based on their expression of current objectives and preferences. The framework will be evaluated by adapting an existing MOOC, allowing comparison of a variety of aspects including choice of learning path, learner satisfaction and effect on attainment and drop-out rate. Keyword: Online course, MOOC, instructional course, recommendation, adaptive, responsive, learner preference
Exclusive Channels and Revenue Sharing in a Complementary Goods Market

This paper evaluates the joint impact of exclusive channels and revenue sharing on suppliers and retailers in a hybrid duopoly common retailer and exclusive channel model. The model bridges the gap in the literature on hybrid multichannel supply chains with bilateral complementary products and services with or without revenue sharing. The analysis indicates that, without revenue sharing, the suppliers are reluctant to form exclusive deals with the retailers; thus, no equilibrium results. With revenue sharing from the retailers to the suppliers, it can be an equilibrium strategy for the suppliers and retailers to form exclusive deals. Bargaining solutions are provided to determine the revenue sharing rates. Our additional results suggest forming exclusive deals becomes less desirable for the suppliers if revenue sharing is also in place under nonexclusivity. In our extended discussion, we also study the impact of channel asymmetry, an alternative model with fencing, composite package competition, and enhanced price-dependent revenue sharing.
Accruals, Accounting-Based Valuation Models, and the Prediction of Equity Values

This study uses out-of-sample equity value estimates to determine whether earnings disaggregation, imposing linear information valuation model (LIM) structure and separate industry estimation of valuation model parameters aid in predicting contemporaneous equity values. We consider three levels of earnings disaggregation: aggregate earnings, cashflow and total accruals and cash flow and four major components of accruals. For pooled estimations, imposing the LIM structure results in significantly smaller prediction errors; for by-industry estimations, it does not. However, by-industry prediction errors are substantially smaller, suggesting that the by-industry estimations are better specified. Mean squared and absolute prediction errors are smallest when earnings are disaggregated into cash flow and major accrual components; median prediction errors are smallest when earnings are disaggregated into cash flow and total accruals. These findings suggest that (1) if concern is with errors in the tails of the equity value prediction error distribution, then earnings should be disaggregated into cash flow and the major accrual components; otherwise earnings should be disaggregated only into cash flow and total accruals; (2) imposing the LIM structure neither increases nor decreases prediction errors, which supports the efficacy of drawing inferences from valuation equations based on residual income models that do not impose the structure implied by the model; (3) valuation of abnormal earnings, accruals, accrual components, equity book value, and other information varies significantly across industries.
Hemodynamic Influences of Losartan on the Brain in Hypertensive Patients

The effects of angiotensin II receptor blockers on cerebral hemodynamics in humans have not been well elucidated. The present study evaluated the effects of losartan on cerebral hemodynamics in hypertensive patients using positron emission tomography. Ten patients with essential hypertension (mean age, 60.8 years) were examined. In each patient, regional cerebral blood flow was measured by [O-15] labeled water positron emission tomography before and after the oral administration of losartan for 8 to 23 weeks. In 8 patients, the baseline regional cerebral blood flow measurement was followed by 1,000 mg of acetazolamide challenge to measure the cerebral perfusion reserve. Systemic blood pressures before and after treatment were 153.8±10.8/96.0±6.5 mmHg (systolic mean±SD/diastolic mean±SD) and 133.4±11.2/83.6±6.5 mmHg, respectively; this difference was significant. The baseline global cerebral blood flow values before and after treatment were 38.4±6.9 ml/min/100 g and 38.2±8.2 ml/min/100 g, respectively; this difference was not significant. The results of the global cerebral blood flow response to the acetazolamide challenges were not statistically different before and after treatment. A regional analysis showed no statistical difference in regional cerebral blood flow or cerebral perfusion reserve throughout the brain before and after treatment. Losartan's effect on reducing the blood pressure did not affect either the baseline regional cerebral blood flow or the cerebral perfusion reserve in patients with mild to moderate hypertension. The inclusion of losartan in anti-hypertensive regimens could be advantageous for cerebral circulation in patients with essential hypertension.
MINING TECHNIQUES FOR LAND USE LAND COVER CLASSIFICATION USING MULTI-TEMPORAL AWIFS DATA

The present study addresses the attempt made to explore the temporal (5-day revisit) and spatial resolution (56m) potential of AWiFS sensor aboard IRS-P6 to generate the land use land cover information using decision tree classification technique using See 5 data mining algorithm. The results obtained after two annual cycles and issues related to digital classification of temporal satellite data were presented and discussed. The temporal datasets were co-registered to sub-pixel accuracy and were atmospherically corrected using modified dark pixel method. Scaled reflectance values were extracted for various classes and rule sets were generated using See-5 data mining algorithm. These rule sets were ported into ERDAS Imagine Knowledge Engineer and the temporal data sets were classified. The results indicate that temporal satellite data at monthly interval found to be suitable to address the seasonal variability in agricultural cropland. The problem with temporal dynamics of cloud cover could be overcome with a little extra care during training site selection. Additional training sites should be defined in cloudy regions keeping its temporal dynamics of the target class in view. Mis-registration among temporal data sets too can influence classification accuracies. Among various land cover classes, classification accuracy is poorer in classes those devoid of vegetal cover. Overall kappa statistic was 0.866 for 200405 which was further improved to 0.908 during 2005-06.
Autonomous vehicle convoy using Lego Mindstorms

Autonomous vehicle convoy is a future driving and technology system that have been researched and developed for decades to solve problems in our transportation system nowadays. The increasing of road traffic has contributed to traffic congestion and more severely causes accidents. The aims of this study are to develop convoy algorithm and demonstrate autonomous vehicle convoy system using the LEGO Mindstorms Education EV3 by performing convoy experiment using small scaled car. The convoy or platooning need to satisfy the range of constraints by keeping the control parameters. It consists of one leader and two followers which have to maintain speed and safe distance while moving at designated route.
Integrative Analysis of the Mitochondrial Proteome in Yeast

In this study yeast mitochondria were used as a model system to apply, evaluate, and integrate different genomic approaches to define the proteins of an organelle. Liquid chromatography mass spectrometry applied to purified mitochondria identified 546 proteins. By expression analysis and comparison to other proteome studies, we demonstrate that the proteomic approach identifies primarily highly abundant proteins. By expanding our evaluation to other types of genomic approaches, including systematic deletion phenotype screening, expression profiling, subcellular localization studies, protein interaction analyses, and computational predictions, we show that an integration of approaches moves beyond the limitations of any single approach. We report the success of each approach by benchmarking it against a reference set of known mitochondrial proteins, and predict approximately 700 proteins associated with the mitochondrial organelle from the integration of 22 datasets. We show that a combination of complementary approaches like deletion phenotype screening and mass spectrometry can identify over 75% of the known mitochondrial proteome. These findings have implications for choosing optimal genome-wide approaches for the study of other cellular systems, including organelles and pathways in various species. Furthermore, our systematic identification of genes involved in mitochondrial function and biogenesis in yeast expands the candidate genes available for mapping Mendelian and complex mitochondrial disorders in humans.
A Critique of k-Anonymity and Some of Its Enhancements

k-Anonymity is a privacy property requiring that all combinations of key attributes in a database be repeated at least for k records. It has been shown that k-anonymity alone does not always ensure privacy. A number of sophistications of k-anonymity have been proposed, like p-sensitive k-anonymity, l-diversity and t-closeness. This paper explores the shortcomings of those properties, none of which turns out to be completely convincing.
Visual Analysis of Transcriptome Data in the Context of Anatomical Structures and Biological Networks

The complexity and temporal as well as spatial resolution of transcriptome datasets is constantly increasing due to extensive technological developments. Here we present methods for advanced visualization and intuitive exploration of transcriptomics data as necessary prerequisites in order to facilitate the gain of biological knowledge. Color-coding of structural images based on the expression level enables a fast visual data analysis in the background of the examined biological system. The network-based exploration of these visualizations allows for comparative analysis of genes with specific transcript patterns and supports the extraction of functional relationships even from large datasets. In order to illustrate the presented methods, the tool HIVE was applied for visualization and exploration of database-retrieved expression data for master regulators of Arabidopsis thaliana flower and seed development in the context of corresponding tissue-specific regulatory networks.