Miracle-dz/UniFAR-FTUs huggingface dataset:
Research Challenges in Adaptive Case Management: A Literature Review

Non-traditional scenarios for Business Process Management (BPM) are often knowledge-intensive and driven by user decisions making it difficult to specify them into a set of activities with precedence relations at design-time. Adaptive Case Management (ACM) is gaining interest among researchers and practitioners as an emerging paradigm to master situations in which adaptions have to be made at run-time by so called knowledge workers. In contrast to workflow management the ACM paradigm is not dictating knowledge workers a predefined course of action, but provides them with the required information at the right time and authorizes them to make decisions on their own. Understanding current research challenges imposed by ACM is of utmost importance for the future evolution of this discipline as well as for the maturity of the BPM field. In this paper we present 77 codes referring to research challenges in ACM that have been revealed from an extensive literature review with scientific publications and books. We aggregated these codes to 13 concepts and categorized them into five distinct areas for data integration, theoretical foundation, authorization and role management, knowledge worker empowerment as well as knowledge storage and extraction. Main goal of this paper is to provide a thorough basis for the discussion of future research activities in the community which are indispensable for ACM.
Thalamic–Cortical–Striatal Circuitry Subserves Working Memory during Delayed Responding on a Radial Arm Maze

The medial dorsal nuclei of the thalamus (MDNt), the prefrontal cortex, and the ventral striatum form an interconnected neural circuit that may subserve certain types of working memory. The present series of experiments investigated functional interactions between these brain regions in rats during the performance of delayed and nondelayed spatially cued radial-arm maze tasks. In Experiment 1, transient inactivation of the MDNt by a bilateral injection of lidocaine selectively disrupted performance on a delayed task but not on a nondelayed random foraging version of the radial arm maze task. In Experiment 2, asymmetrical lidocaine injections into the MDNt on one side of the brain and the prefrontal cortex on the other transiently disconnected these two brain regions and significantly impaired foraging during the delayed task. Similarly, disconnections between the prefrontal cortex and the nucleus accumbens also disrupted foraging on this task, whereas disconnections between the MDNt and the nucleus accumbens had no effect. These data suggest that serial transmission of information among the MDNt, the prefrontal cortex, and the nucleus accumbens is required when trial-unique, short-term spatial memory is used to guide prospective search behavior. The results are discussed with respect to a distributed neural network linking limbic, thalamic, cortical, and striatal regions, which mediates executive functions of working memory.
Fold recognition by concurrent use of solvent accessibility and residue depth

Recognizing the structural similarity without significant sequence identity (called fold recognition) is the key for bridging the gap between the number of known protein sequences and the number of structures solved. Previously, we developed a fold‐recognition method called SP3 which combines sequence‐derived sequence profiles, secondary‐structure profiles and residue‐depth dependent, structure‐derived sequence profiles. The use of residue‐depth‐dependent profiles makes SP3 one of the best automatic predictors in CASP 6. Because residue depth (RD) and solvent accessible surface area (solvent accessibility) are complementary in describing the exposure of a residue to solvent, we test whether or not incorporation of solvent‐accessibility profiles into SP3 could further increase the accuracy of fold recognition. The resulting method, called SP4, was tested in SALIGN benchmark for alignment accuracy and Lindahl, LiveBench 8 and CASP7 blind prediction for fold recognition sensitivity and model‐structure accuracy. For remote homologs, SP4 is found to consistently improve over SP3 in the accuracy of sequence alignment and predicted structural models as well as in the sensitivity of fold recognition. Our result suggests that RD and solvent accessibility can be used concurrently for improving the accuracy and sensitivity of fold recognition. The SP4 server and its local usage package are available on http://sparks.informatics. iupui.edu/SP4. Proteins 2007. © 2007 Wiley‐Liss, Inc.
Índices territoriales de esfuerzo fiscal en el IRPF

Este trabajo presenta una comparacion, bajo un marco analitico comun, de cuatro indices relativos de esfuerzo y cumplimiento fiscal utilizados en la literatura sobre la financiacion de las Comunidades Autonomas. La comparacion se evalua empiricamente con referencia al Impuesto sobre la Renta de las Personas Fisicas. El trabajo muestra que la utilizacion de variables macroeconomicas de renta en lugar de producto para determinar la base imponible estandar, y el reconocimiento de la progresividad, son factores importantes en la determinacion del esfuerzo y cumplimiento fiscal relativo entre Comunidades Autonomas
Projects Audiocycle: Browsing Musical Loops Libraries

Preface numediart is a long-term research program centered on Digital Media Arts, funded by Région Wallonne, Belgium (grant N • 716631). Its main goal is to foster the development of new media technologies through digital performances and installations, in connection with local companies and artists. numediart is organized around three major R&D themes: • HyFORGE-Hypermedia Navigation: Information indexing and retrieval rely classically on constrained languages to automatically describe contents and allow formulating queries, respectively. This approach becomes hardly applicable for multimedia contents such as music or video because of the disparity between computable low-level descriptors and desired high-level semantics-the so-called semantic gap. Alternatively, HyFORGE investigates human-in-the-loop approaches and innovative tools for structuring and searching multimedia contents. Along with audio and image processing, HyFORGE builds up on self-organizing models to derive enhanced views of multimedia collections and provide users with efficient browsing interfaces. • COMEDIA-Body & Media: COMEDIA is named from a French contraction between body and media or stage director and media, which nicely sums up the main objective of this axis: giving to bodies the means to be their own artistic director! Hence based on position on stage or choreography between multiple artists for the interrelationship and gestures or voice for the intra-relationship, CO-MEDIA aims at creating interactivity between performing artists and the multimedia context around.bustness against lighting and real-time are our keywords in 1D, 2D and 3D signal processing to reach these goals. • COPI-Digital Instruments Design: COPI aims at developing a software/hardware toolbox for creating innovative digital musical instruments, from scratch or by augmenting existing instruments with new interactive channels. The main challenges for this R&D axis are to produce expressive instruments which maintain a close, embodied relationship with the musician. Our approach is to produce new sound design architectures using a large database of pre-recorded signals while maintaining real-time control of the design process. Our scientific work therefore implies three main axes: the development of expressive production models (audio signal processing), followed by the design of gestural control systems for their synthesis parameters, coupled with statistical modeling of this dynamic control. numediart is the result of collaboration between Polytech'Mons (Information Technology R&D pole) and UCL (TELE Lab), with a center of gravity in Mons, the cultural capital of Wallonia. It also benefits from the expertise of the MULTITEL research center on multimedia and telecommunications. As such, it is the R&D component of MONS 2015, a broader …
A new power MOSFET generation designed for synchronous rectification

Low-voltage MOSFETs are widely used in the synchronous rectifying stages of power supplies. To allow a high efficiency in light-load conditions, the power MOSFET not only needs to meet general requirements like low on-resistance, low gate charge and good avalanche capability, but must also have a low output capacitance and low reverse-recovery charge. The paper shows how those requirements were met in our newest generation of power MOSFET starting with the 60 V class.
Homocysteine Level and Risk of Abdominal Aortic Aneurysm: A Meta-Analysis

Objectives Previous studies have reported inconsistent findings regarding the association between elevated plasma homocysteine (Hcy) levels and abdominal aortic aneurysm (AAA). We investigated this association between Hcy levels in patients with AAA and unaffected controls by conducting a meta-analysis and systematic review. Methods We conducted a systematic literature search (up to August 2013) of the PubMed database and Embase. We selected observational studies that evaluated Hcy levels in subjects with AAA compared to unaffected controls. Criteria for inclusion were the assessment of baseline Hcy and risk of AAA as an outcome. The results were presented as odd ratio (OR) and corresponding 95% confidence intervals (CI) comparing AAA patients to the control subjects. Results 7 studies with 6,445 participants were identified and analyzed. Overall, elevated plasma Hcy was associated with an increased risk of AAA (3.29; 95% CI 1.66–6.51). The pooled adjusted OR from a random effect model of only men participants in the AAA compared with the control group was 2.36 (95% CI 0.63–8.82). Conclusion This meta-analysis and systematic review suggested that Hcy significantly increased the risk of AAA.
Minimum shift keying: A spectrally efficient modulation

The ever increasing demand for digital transmission channels, in the radio frequency (RF) band presents a potentially serious problem of spectral congestion and is likely to cause severe adjacent and cochannel interference problems. This has, in recent years, led to the investigation of a wide variety of techniques for solving the problem of spectral congestion. Some solutions to this problem include: 1) new allocations at high frequencies; 2) better management of existing allocations; 3) the use of frequency-reuse techniques such as the use of narrow-beam antennas and dual polarizing systems; 4) the use of efficient source encoding techniques; and 5) the use of spectrally efficient modulation techniques [l]. This article will consider the last approach and analyze, in particular, a modulation scheme known as minimum shift keying (MSK). The MSK signal format will be explained and its relation to other schemes such as quadrature phase shift keying (QPSK), offset QPSK (OQPSK), and frequency shift keying (FSK) pointed out. The main attributes of MSK, such as constant envelope, spectral efficiency, error rate performance of binary PSK, and self-synchronizing capability will all be explained on the basis of the modulation format.
Ph.D. Thesis Proposal: Programming Language Support For Separation Of Concerns

Separation of concerns is a useful problem-solving technique. Ideally, each program module should embody one (and only one) concern of the problem that the program is solving. In practice, this correspondence is limited by the constructs available in the programming language; some kinds of concerns are easier or harder to separate in a given language, and crosscutting concerns are hard to separate in any currently popular language. Programming languages should provide support for separation of concerns for as many kinds of concerns as possible, and they can achieve this while remaining conceptually simple. I describe a language called Fred that attempts to meet these criteria, based on predicate dispatching, aspect-oriented programming, and units. I provide an extended example of some reusable components that separate crosscutting concerns.
A short course on Witten Helffer-Sj\"ostrand theory

Witten-Helffer-Sj\"ostrand theory is an addition to Morse theory and Hodge-de Rham theory for Riemannian manifolds and considerably improves on them by injecting some spectral theory of elliptic operators. It can serve as a general tool to prove results about comparison of numerical invariants associated to compact manifolds analytically, i.e. by using a Riemannian metric, or combinatorially, i.e. by using a triangulation. It can be also refined to provide an alternative presentation of Novikov Morse theory and improve on it in many respects. In particular it can be used in symplectic topology and in dynamics. This material represents my Notes for a three lectures course given at the Goettingen summer school on groups and geometry, June 2000.
Exploring Ticketing Approaches Using Mobile Technologies: QR Codes, NFC and BLE

There is a growing interest in integrating public transportation with the smartphone and mobile ticketing provides just that. To do so, different technologies can be used, such as Near Field Communication, Quick Response Codes and Bluetooth Low Energy. This paper explores the possibility of implementing a mobile ticketing solution, with focus on the ticket validation process, using these technologies. They are analyzed and compared at different levels and two possible approaches proposed. Both solutions are presented in terms of infrastructure and maintenance cost, as well as passenger interaction and benefit. The feasibility and performance of the technologies is analyzed and presented in the context of the proposed approaches. As a result, a mobile ticketing solution can be implemented using different technologies, and their choice depends on factors such as the available funds, the intended interaction level, performance and the size of the target audience.
Open-label study of the short-term effects of memantine on FDG-PET in frontotemporal dementia

Background Memantine has shown effects on cortical metabolism in Alzheimer’s disease (AD), and the mechanism of action may not be specific to AD alone. We hypothesized that participants with frontotemporal dementia taking memantine would show an increased cortical metabolic activity in frontal regions, temporal regions, or in salience network hubs. Methods Sixteen participants with behavioral or language variant frontotemporal dementia syndromes (FTD) were recruited from tertiary FTD clinics and treated with memantine hydrochloride 10 mg twice daily in this fixed-dose, open-label pilot study. The primary endpoint was enhancement of cortical metabolic activity after 7–8 weeks of treatment. Secondary endpoints were measures of mood and behavior disturbance, frontal executive function, and motor disturbance. Results Voxel-wise parametric image analysis of positron emission tomography (PET) data from seven behavioral variant FTD patients, eight semantic dementia patients, and one progressive nonfluent aphasia patient, of mean age 64.3 years, mean duration of illness 4.25 years, and baseline mean sum of boxes Clinical Dementia Rating score 6.59, revealed an increase in [18F]-fluorodeoxyglucose (FDG) normalized metabolic activity in bilateral insulae and the left orbitofrontal cortex (P < 0.01). The increase on FDG-PET did not correlate with changes on behavioral inventories. Post hoc analysis indicated that semantic dementia participants drove this finding. Conclusion This open-label clinical PET study suggests that memantine induces an increase in metabolism in the salience network in FTD. A placebo-controlled follow-up study is warranted.
Efficient UDD Architecture for Underwater Wireless Acoustic Sensor Network

For the efficient routing environment of Underwater Wireless Sensor Network (UWSN), this paper proposes Underwater Direct-Diffusion (UDD) approach method in consideration of acoustic communications and movement of nodes under ocean environments without using existing RF (Radio Frequency) approach method in the ground-based environments. The data transmission method with the three types of events such as Interest, Gradient, and Reinforce will assure the reliability and maximize energy efficiency of the Interest by following methods; 1) to divide a whole network into top layer, middle layer, and bottom layer to minimize the interference by indiscreet flooding, 2) to prohibit the horizontal query between same layer, and only allow the query between different layers to minimize the energy consumption by flooding transmission 3) to delegate transmission to a non-bridge node in the same layer in case of losing a transmission route by a bridge node’s failure.
On-line trajectory generation for a humanoid robot based on combination of off-line patterns

When a humanoid robot moves in an actual working environment, it is necessary for the robot to generate appropriate locomotion trajectory in real-time to ensure its stability. But it is difficult to solve nonlinear differential equations of stability constraints in real-time to get stable locomotion trajectory. This paper proposed a method to generate stable and smooth locomotion trajectory through linking basic off-line patterns together considering stability constraints. These basic locomotion patterns include forward walk, turn-about, standstill, mark time, etc. In order to move and adapt to different route circumstance, the robot makes a selection of one basic pattern which can be link with the current locomotion pattern according to stability constraints and route requirements. We adopt spline interpolation to link current pattern and newly selected pattern for generating smooth trajectory. The effectiveness of the proposed method was confirmed by experiments on our newly developed humanoid robot.
Stratocumulus Cloud-Top Height Estimates and Their Climatic Implications

A depth-dependent boundary layer lapse rate was empirically deduced from 156 radiosondes released duringsixmonth-longresearchcruisestothe southeastPacificsamplingavarietyofstratocumulusconditions. Thelapse-ratedependenceonboundarylayerheightisweak,decreasingfromabestfitof7.6to7. 2K km 21 as theboundarylayerdeepensfrom800mto2km.Ship-basedcloud-baseheightsupto800mcorrespondwellto liftingcondensationlevels,indicatingwell-mixedconditions, withcloud bases . 800moften 200‐600m higher than the lifting condensation levels. The lapse rates were combined with Moderate Resolution Imaging Spectrometer 11-mm-derived cloud-top temperatures and satellite microwave-derived sea surface temperatures to estimate stratocumulus cloud-top heights. The October-mean cloud-top height structure of the southeast Pacific was then spatially and diurnally characterized. Coastal shoaling is apparent, but so is a significant along-coast cloud-top height gradient, with a pronounced elevation of the cloud-top heights above theAricaBightat ;208S.Diurnalcloud-topheightvariations(inferredfromirregular4-times-dailysampling) can locally reach 250 m in amplitude, and they can help to visualize offshore propagation of free-tropospheric vertical motions. A shallow boundary layer associated with the Chilean coastal jet expands to its north and west in the afternoon. Cloud-top heights above the Arica Bight region are depressed in the afternoon, which may mean that increased subsidence from sensible heating of the Andes dominates an afternoon increase in convergence/upward motion at the exit of the Chilean coastal jet. In the southeast Atlantic during October, thestratocumuluscloud-topheightsaretypicallylowerthanthoseinthesoutheastPacific.Acoastaljetregion can also be identified through its low cloud-top heights. Coastal shoaling of the South Atlantic stratocumulus region is mostly uniform with latitude, in keeping with the more linear Namibian/Angolan coastline. The southeast Atlantic shallow cloudy boundary layer extends farther offshore than in the southeast Pacific, particularly at 158S.
Survey on performance, reliability and future proposal of Cognitive Radio under wireless computing

In daily life internet plays a vital role in every aspects of web usage by the end users. Its essential purpose is information retrieval, packet transmission, communication between networks via wired and wireless mode. Subsequently wireless data networks and transmission are renowned by a fixed spectrum obligation policy and therefore that spectrum utilization becomes very significant one, in which new communication techniques are keep on increasing and the spectrum bandwidth remains limited because of unlicensed users. Cognitive radio is an innovatory technology to make use of the limited spectrum more successful. Cognitive Radio (CR) aspires to look up for the spectrum utilization by taking improvement of licensed user or primary user, which are so-called unused spectrum. Cognitive Radio has extensive applications together with dynamic spectrum access allocation and interference management, which will largely blow the NeXt Generation Network (xG) for wireless devices and networks. This new networking model is referred to as NeXt Generation (xG) Network as well as known as Dynamic Spectrum Access (DSA) and Cognitive Radio Networks. Eventually the performance and reliability of CR can be increased through the cross-layer design approach in the (xG) networks. In this paper, we carry out a survey on CR networks from various portions such as waveform, spectrum management and sensing, similarities between intelligent antenna and CR, performance and reliability evaluations etc.
Applications of functional magnetic resonance imaging for market research

Purpose – The purpose of this paper is to provide a brief overview of the methodology of several brain imaging techniques and in particular, functional magnetic resonance imaging (fMRI) and its potential implications for market research. The aim is to enable the reader both to understand this emerging methodology and to conduct independent research in the area.Design/methodology/approach – A short introduction on current neuroimaging methods used in behavioral neuroscience is provided by means of a literature review. The ensuing discussion focuses on fMRI as the currently most popular neuroimaging technique. Having described the fMRI methodology, an outline of the analysis of functional neuroimaging data follows, after which there is a discussion of some key research issues.Findings – Although in its infancy, fMRI seems to be a useful and promising tool for market researchers. Initial studies in the field reveal that fMRI is able to shed light on subconscious processes such as affective aspects of consume.
New Biomarkers for the Quick Detection of Acute Kidney Injury

Acute kidney injury (AKI) is a common and strong problem in the diagnosis of which based on measurement of BUN and serum creatinine. These traditional methods are not sensitive and specific for the diagnosis of AKI. AKI is associated with increased morbidity and mortality in critically ill patients and a quick detection is impossible with BUN and serum creatinine. A number of serum and urinary proteins have been identified that may messenger AKI prior to a rise in BUN and serum creatinine. New biomarkers of AKI, including NGAL, KIM-1, cystatin-C, IL-18, and L-FABP, are more favourable tests than creatinine which have been identified and studied in several experimental and clinical training. This paper will discuss some of these new biomarkers and their potential as useful signs of AKI. We searched the literature using PubMed and MEDLINE with acute kidney injury, urine, and serum new biomarkers and the articles were selected only from publication types in English.