Miracle-dz/UniFAR-FTUs huggingface dataset:
Economic Evaluation of a General Hospital Unit for Older People with Delirium and Dementia (TEAM Randomised Controlled Trial)

BackgroundPatients with delirium and dementia admitted to general hospitals have poor outcomes, and their carers report poor experiences. We developed an acute geriatric medical ward into a specialist Medical and Mental Health Unit over an eighteen month period. Additional specialist mental health staff were employed, other staff were trained in the 'person-centred' dementia care approach, a programme of meaningful activity was devised, the environment adapted to the needs of people with cognitive impairment, and attention given to communication with family carers. We hypothesise that patients managed on this ward will have better outcomes than those receiving standard care, and that such care will be cost-effective.Methods/designWe will perform a controlled clinical trial comparing in-patient management on a specialist Medical and Mental Health Unit with standard care. Study participants are patients over the age of 65, admitted as an emergency to a single general hospital, and identified on the Acute Medical Admissions Unit as being 'confused'. Sample size is 300 per group. The evaluation design has been adapted to accommodate pressures on bed management and patient flows. If beds are available on the specialist Unit, the clinical service allocates patients at random between the Unit and standard care on general or geriatric medical wards. Once admitted, randomised patients and their carers are invited to take part in a follow up study, and baseline data are collected. Quality of care and patient experience are assessed in a non-participant observer study. Outcomes are ascertained at a follow up home visit 90 days after randomisation, by a researcher blind to allocation. The primary outcome is days spent at home (for those admitted from home), or days spent in the same care home (if admitted from a care home). Secondary outcomes include mortality, institutionalisation, resource use, and scaled outcome measures, including quality of life, cognitive function, disability, behavioural and psychological symptoms, carer strain and carer satisfaction with hospital care. Analyses will comprise comparisons of process, outcomes and costs between the specialist unit and standard care treatment groups.Trial Registration numberClinicalTrials.gov: NCT01136148
Refactoring Practice: How it is and How it Should be Supported - An Eclipse Case Study

Refactoring is an important activity in the evolutionary development of object-oriented software systems. Yet, several questions about the practice of refactoring remain unanswered, such as what fraction of code modifications are refactorings and what are the most frequent types of refactorings. To gain some insight in this matter, we conducted a detailed case study on the structural evolution of Eclipse, an integrated-development environment (IDE) and a plugin-based framework. Our study indicates that: 1) about 70% of structural changes may be due to refactorings; 2) for about 60% of these changes, the references to the affected entities in a component-based application can be automatically updated by a refactoring-migration tool if the relevant information of refactored components can be gathered through the refactoring engine; and 3) state-of-the-art IDEs, such as Eclipse, support only a subset of commonly applied low-level refactorings and lack support for more complex ones, which are also frequent. Based on our findings, we draw some conclusions on high-level design requirements for a refactoring-based development environment
Deep diving into BitTorrent locality

Localizing BitTorrent traffic within an ISP in order to avoid excessive and often times unnecessary transit costs has recently received a lot of attention. In this work we attempt to answer yet unanswered questions like "what are the boundaries of win-win outcomes for both ISPs and users from locality? ", "what does the tradeoff between ISPs and users look like? ", and "are some ISPs more in need of locality biasing than others? ".
Serum Levels of the Adipokine Progranulin Depend on Renal Function

OBJECTIVE Progranulin has recently been introduced as a novel adipokine inducing insulin resistance and obesity. In the current study, we investigated renal elimination, as well as association of the adipokine with markers of the metabolic syndrome. RESEARCH DESIGN AND METHODS Progranulin serum levels were quantified by enzyme-linked immunosorbent assay and correlated to anthropometric and biochemical parameters of renal function and glucose and lipid metabolism, as well as inflammation, in 532 patients with stages 1–5 of chronic kidney disease (CKD). RESULTS Median serum progranulin levels adjusted for age, sex, and BMI were significantly different between CKD stages with highest values detectable in stage 5 (stage 1, 58.3 µg/L; stage 2, 63.0 µg/L; stage 3, 65.4 µg/L; stage 4, 68.8 µg/L; and stage 5, 90.6 µg/L). Furthermore, CKD stage was the strongest independent predictor of circulating progranulin in our cohort. In addition, high-sensitivity interleukin-6 and adiponectin remained significantly and independently correlated with the adipokine. CONCLUSIONS We demonstrate that progranulin serum levels increase with deteriorating renal function. These findings are in accordance with the hypothesis that renal clearance is a major elimination route for circulating progranulin. Furthermore, the adipokine is positively and independently associated with markers of inflammation and adiponectin.
Emotion Classification Using Web Blog Corpora

In this paper, we investigate the emotion classification of web blog corpora using support vector machine (SVM) and conditional random field (CRF) machine learning techniques. The emotion classifiers are trained at the sentence level and applied to the document level. Our methods also determine an emotion category by taking the context of a sentence into account. Experiments show that CRF classifiers outperform SVM classifiers. When applying emotion classification to a blog at the document level, the emotion of the last sentence in a document plays an important role in determining the overall emotion.
Development and evaluation of a deep learning model for protein–ligand binding affinity prediction

Motivation: Structure based ligand discovery is one of the most successful approaches for augmenting the drug discovery process. Currently, there is a notable shift towards machine learning (ML) methodologies to aid such procedures. Deep learning has recently gained considerable attention as it allows the model to ‘learn’ to extract features that are relevant for the task at hand. Results: We have developed a novel deep neural network estimating the binding affinity of ligand‐receptor complexes. The complex is represented with a 3D grid, and the model utilizes a 3D convolution to produce a feature map of this representation, treating the atoms of both proteins and ligands in the same manner. Our network was tested on the CASF‐2013 ‘scoring power’ benchmark and Astex Diverse Set and outperformed classical scoring functions. Availability and implementation: The model, together with usage instructions and examples, is available as a git repository at http://gitlab.com/cheminfIBB/pafnucy. Supplementary information: Supplementary data are available at Bioinformatics online.
Visualization of C++ Template Metaprograms

Template metaprograms have become an essential part of today's C++ programs: with proper template definitions we can force the C++ compiler to execute algorithms at compilation time. Among the application areas of template metaprograms are the expression templates, static interface checking, code optimization with adaptation, language embedding and active libraries. Despite all of its already proven benefits and numerous successful applications there are surprisingly few tools for creating, supporting, and analyzing C++ template metaprograms. As metaprograms are executed at compilation time they are even harder to understand. In this paper we present a code visualization tool, which is utilizing Tem plight, our previously developed C++ template metaprogram debugger. Using the tool it is possible to visualize the instantiation chain of C++ templates and follow the execution of metaprograms. Various presentation layers, filtering of template instances and step-by-step replay of the instantiations are supported. Our tool can help to test, optimize, maintain C++ template metaprograms, and can enhance their acceptance in the software industry.
PCA-based home videos annotation system

This paper presents a semi-automatic home videos annotation system that searches into video contents and retrieves video shots for a specific person. The proposed system is composed of four phases; namely (a) shot detection phase, (b) face detection and recognition phase using the Principal Component Analysis (PCA) feature extraction algorithm based on Haar-like features, (c) face clustering and annotation phase, and (d) retrieval phase. The proposed system is simple and provides a user-friendly interface. It greatly reduces workload and enhances the accuracy of annotating persons faces in home videos.
Decentralized Charging Control of Large Populations of Plug-in Electric Vehicles

This paper develops a strategy to coordinate the charging of autonomous plug-in electric vehicles (PEVs) using concepts from non-cooperative games. The foundation of the paper is a model that assumes PEVs are cost-minimizing and weakly coupled via a common electricity price. At a Nash equilibrium, each PEV reacts optimally with respect to a commonly observed charging trajectory that is the average of all PEV strategies. This average is given by the solution of a fixed point problem in the limit of infinite population size. The ideal solution minimizes electricity generation costs by scheduling PEV demand to fill the overnight non-PEV demand “valley”. The paper's central theoretical result is a proof of the existence of a unique Nash equilibrium that almost satisfies that ideal. This result is accompanied by a decentralized computational algorithm and a proof that the algorithm converges to the Nash equilibrium in the infinite system limit. Several numerical examples are used to illustrate the performance of the solution strategy for finite populations. The examples demonstrate that convergence to the Nash equilibrium occurs very quickly over a broad range of parameters, and suggest this method could be useful in situations where frequent communication with PEVs is not possible. The method is useful in applications where fully centralized control is not possible, but where optimal or near-optimal charging patterns are essential to system operation.
Semantic patches for documenting and automating collateral evolutions in Linux device drivers

Developing and maintaining drivers is known to be one of the major challenges in creating a general-purpose, practically-useful operating system [1, 3]. In the case of Linux, device drivers make up, by far, the largest part of the kernel source code, and many more drivers are available outside the standard kernel source tree. New drivers are needed all the time, to give access to the latest devices. To ease driver development, Linux provides a set of driver support libraries, each devoted to a particular bus or device type. These libraries encapsulate much of the complexity of interacting with the device and the Linux kernel, and impose a uniform structure on device-specific code within a given bus or device type.
The Brain Atlas: A Visual Guide to the Human Central Nervous System

337 ence book-ifyou're studying for a course and need real material fast, a textbook is still your answer-and it's not quite anec-dotal reading. This book carves out an interesting niche in the middle ground: infornative, yet personal; casual, yet scientifically rigorous. Because it is so different from other references, it is a difficult book to recommend; though this is likely because this vanguard volume is among the first in an under-represented field. Operators and Promoters is required reading for anyone with an interest in the history of molecular biology, tempered with a desire to know not only the bare facts, but the people, struggles and personalities that ushered them into the realm of knowledge. As a student learning neuroanatomy, one of the biggest challenges is often mastering the blood supply to any given region of the central nervous system. The most user-friendly approach to learning such information can now be found within the second edition of The Brain Atlas by Woolsey et al. from the Washington University School of Medicine. Even as one picks up the manual, the brilliant colors and easy to flip notebook style bring the atlas to life as an appealing teaching guide. For every tissue section through the brain and spinal cord, one can easily follow clearly numbered anatomical regions: from a histological photograph to a colorful representation of the vascular supply and lastly to an in situ view through a MR image. The atlas ends with an emphasis on all of the major CNS pathways by superimposing brightly labeled pathways upon actual histological sections from the brain to the lower spinal cord levels. This "one glance reveals all" approach is not only a major time-saver, but also depicts the pathways more clearly than any other reference I have ever encountered. The logical, multidisciplinary progression in The Brain Atlas succeeds beautifully in integrating the anatomical, radiological , vascular, and fimctional aspects of neuroanatomy just as a student would be expected to know in a clinical setting. Furthermore , the clearly delineated sections make this an easy and fast reference on the wards for any student or resident. One possible improvement for future editions might be the inclusion of actual clinical syndromes as they apply to normal anatomy, vascular supply, and pathways. The Brain Atlas is clearly a valuable asset to any student, teacher, or clinician broaching the wonderful world of neuroscience. In a staccato autobiography, Genes, …
Phospho.ELM: a database of phosphorylation sites—update 2011

The Phospho.ELM resource (http://phospho.elm.eu.org) is a relational database designed to store in vivo and in vitro phosphorylation data extracted from the scientific literature and phosphoproteomic analyses. The resource has been actively developed for more than 7 years and currently comprises 42 574 serine, threonine and tyrosine non-redundant phosphorylation sites. Several new features have been implemented, such as structural disorder/order and accessibility information and a conservation score. Additionally, the conservation of the phosphosites can now be visualized directly on the multiple sequence alignment used for the score calculation. Finally, special emphasis has been put on linking to external resources such as interaction networks and other databases.
What Strikes the Strings of Your Heart?–Multi-Label Dimensionality Reduction for Music Emotion Analysis via Brain Imaging

After 20 years of extensive study in psychology, some musical factors have been identified that can evoke certain kinds of emotions. However, the underlying mechanism of the relationship between music and emotion remains unanswered. This paper intends to find the genuine correlates of music emotion by exploring a systematic and quantitative framework. The task is formulated as a dimensionality reduction problem, which seeks the complete and compact feature set with intrinsic correlates for the given objectives. Since a song generally elicits more than one emotion, we explore dimensionality reduction techniques for multi-label classification. One challenging problem is that the hard label cannot represent the extent of the emotion and it is also difficult to ask the subjects to quantize their feelings. This work tries utilizing the electroencephalography (EEG) signal to solve this challenge. A learning scheme called EEG-based emotion smoothing ( E2S) and a bilinear multi-emotion similarity preserving embedding (BME-SPE) algorithm are proposed. We validate the effectiveness of the proposed framework on standard dataset CAL-500. Several influential correlates have been identified and the classification via those correlates has achieved good performance. We build a Chinese music dataset according to the identified correlates and find that the music from different cultures may share similar emotions.
Acute Effects of Intravenous Administration of Pamidronate in Patients with Osteoporosis

We investigated acute effects of intermittent large dose bisphophonate therapy in osteoporotic patients. Peripheral blood mononuclear cells were incubated with alendronate (100 µM) for 18 hr, in vitro and cytokine expressions were measured by real-time RT-PCR. Pamidronate 30 mg was administered on 26 osteoporotic patients; and acute phase reactants, inflammatory cytokines and bone biomarkers were measured. The in vitro study showed significant increase in mRNA expression of IL-6, TNF-α and IFN-γ. A notable rise in serum C-reactive protein (CRP) was observed over 3 days after pamidronate infusion (P=0.026). Serum levels of TNF-α, IL-6 and IFN-γ were also significantly increased (P=0.009, 0.014, 0.035, respectively) and the increase in IL-6 levels were strongly correlated with CRP levels (P=0.04). Serum calcium and c-telopeptide levels rapidly decreased after the treatment (P=0.02, <0.001, respectively). This study showed that mRNA expression of inflammatory cytokines at peripheral blood mononuclear cells (PBMC) level were observed within 18 hr and marked elevation of inflammatory cytokines and acute phase reactants were demonstrated after pamidronate infusion at the dose for osteoporosis. Our studies confirmed that intermittent large dose aminobisphosphonate causes acute inflammation.
Parallelization of Mesh Contraction and Fairing using OpenCL

We propose a parallel method for computing local Laplacian curvature flows for triangular meshes. Laplace operator is widely used in mesh processing for mesh fairing, noise removal or curvature estimation. If the Laplacian flow is used in global sense constraining a whole mesh with an iterative weighted linear system, it can be used even for mesh contraction. However, numerical solution of such a global linear system is computationally expensive. Therefore, we have developed a method to compute such an iterative linear system using only local neighbourhoods of each vertex in parallel. Parallel computation of local linear systems is performed on GPU using OpenCL. We have evaluated speedups of the parallelization using both local and global Laplacian flows. We show test cases, where the parallel local method can be used for mesh fairing. In contrary, we also investigate and outline a fail case, where the local Laplacian flow cannot be used. When the local Laplacian flow has problems with global convergence, we offer a global parallelization of the linear system solving as an alternative.
The Illusion of Invariant Quantities in Life Histories

Life-history theory attempts to provide evolutionary explanations for variations in the ways in which animal species live their lives. Recent analyses have suggested that the dimensionless ratios of several key life-history parameters are the same for different species, even across distant taxa. However, we show here that previous analyses may have given a false picture and created an illusion of invariants, which do not necessarily exist; essentially, this is because life-history variables have been regressed against themselves. The following question arises from our analysis: How do we identify an invariant?
Efficient Exploration of On-Chip Bus Architectures and Memory Allocation

Separation between computation and communication in system design allows the system designer to explore the communication architecture independently of component selection and mapping. In this paper we present an iterative two-step exploration methodology for bus-based on-chip communication architecture and memory allocation, assuming that memory traces from the processing elements are given from the mapping stage. The proposed method uses a static performance estimation technique to reduce the large design space drastically and quickly, and applies a trace-driven simulation technique to the reduced set of design candidates for accurate performance estimation. Since local memory traffic as well as shared memory traffic are involved in bus contention, memory allocation is considered as an important axis of the design space in our technique. The viability and efficiency of the proposed methodology are validated by two real-life examples, 4-channel digital video recorder (DVR) and an equalizer for OFDM DVB-T receiver.
AN EXPLORATORY STUDY ON THE RELATION BETWEEN NEUROTICISM AND CERTAIN ASPECTS OF AUDITORY HALLUCINATIONS IN SCHIZOPHRENICS

SUMMARY 30 schizophrenics who met the criteria of Feighner et al and were having verbal auditory hallucinations, with or without hallucinations of other varieties were chosen for the study. The relation between neuroticism scale of Eysenck's Personality Questionnaire and different aspects of the voice was examined. Neuroticism scores were positively related to the level of anxiety prior to the voice, anticipation of the voice, intensity of anger during the voice and interference with occupation and social activities of patients by the voice.
New and Successful Technique for the Management of Parry-Romberg Syndrome's Soft Tissue Atrophy

Abstract Parry-Romberg syndrome (PRS) is an infrequent, acquired disorder characterized by progressive hemiatrophy of the skin and soft tissue of the face and, in some patients, results in atrophy of muscles, cartilage, and the underlying bony structures. The disease process exhibits varying speeds of development, with onset occurring in early infancy or adolescence. Clinicians have classically reserved treatment until the end of the process. Various treatment modalities have been attempted with differing results. Described treatments include free tissue transfer (omentum, rectus, latissimus, serratus, diep, scapula, and parascapular), pedicled flaps, autologous tissue (dermis-fat, bone and cartilage, and fat), and biomaterials (silicone, polyethylene, and Alloderm). In this article, the authors present a patient of Parry-Romberg syndrome in a young boy who had undergone a free flap previously, which failed to fill the atrophy of the right hemifacial soft tissues. The authors used Integra, which is a bilayer porous matrix of cross-linked bovine tendon collagen and glycosaminoglycan, and a semipermeable polysiloxane (silicone layer) and fat grafts enriched with Harvest PRP, to produce volume and symmetric contour on the affected side. The patient had a follow up of 2 years with excellent esthetic and functional results. Objective: The authors present a technique of volume replacement in patients with hemifacial atrophy because of Parry-Romberg syndrome, which has never been reported before in the international literature. Study: Microsurgical reconstruction is considered the gold standard to restore facial symmetry. Given a free flap morbidity and risk of complications, some patients opt for less extensive procedures. The authors present the case of a 12-year-old boy with a history of Parry-Romberg syndrome with resultant right hemifacial atrophy. Consistent with the usual pattern of atrophy, the onset of the patient's disease began at the age of 5 years. Methods: The senior authors used a combination of a stacked Integra cheek implant and fat grafts enriched with Harvest PRP to produce volume and symmetric contour on the affected side. The patient was discharged home the next day after the surgical procedure from the recovery room, without complications. Results: The patient was followed for 2 years. He has had no complications and maintains an excellent symmetric result. The patient is highly satisfied with his result and has not required any further surgery. Preoperative and postoperative photos at year of follow up are presented. Discussion: Less invasive treatment options exist for hemifacial atrophy from Parry-Romberg syndrome.