Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of Fitness to Drive in Patients with Alzheimer's Dementia

The number of patients with Alzheimer’s disease (AD) is increasing and so is the number of patients driving a car. To enable patients to retain their mobility while at the same time not endangering public safety, each patient should be assessed for fitness to drive. The aim of this study is to develop a method to assess fitness to drive in a clinical setting, using three types of assessments, i.e. clinical interviews, neuropsychological assessment and driving simulator rides. The goals are (1) to determine for each type of assessment which combination of measures is most predictive for on-road driving performance, (2) to compare the predictive value of clinical interviews, neuropsychological assessment and driving simulator evaluation and (3) to determine which combination of these assessments provides the best prediction of fitness to drive. Eighty-one patients with AD and 45 healthy individuals participated. All participated in a clinical interview, and were administered a neuropsychological test battery and a driving simulator ride (predictors). The criterion fitness to drive was determined in an on-road driving assessment by experts of the CBR Dutch driving test organisation according to their official protocol. The validity of the predictors to determine fitness to drive was explored by means of logistic regression analyses, discriminant function analyses, as well as receiver operating curve analyses. We found that all three types of assessments are predictive of on-road driving performance. Neuropsychological assessment had the highest classification accuracy followed by driving simulator rides and clinical interviews. However, combining all three types of assessments yielded the best prediction for fitness to drive in patients with AD with an overall accuracy of 92.7%, which makes this method highly valid for assessing fitness to drive in AD. This method may be used to advise patients with AD and their family members about fitness to drive.
A Different Path to Growth? Service Innovation and Performance amongst UK Manufacturers

Introducing and innovating services is advocated as a means by which manufacturing firms in advanced economies can retain or enhance their competitiveness. But little is known about how manufacturers innovate services, nor about the impact of service innovation on manufacturers' performance. Using two consecutive waves of the UK Innovation Survey, this paper first examines how manufacturers innovate services, comparing this with how they innovate goods (i.e., material products) and production processes. We find that manufacturers tend to innovate services differently: R&D is found to be unimportant, whilst investments in marketing and training are found to be related to service innovation. The paper then examines the impact of service innovation on performance, in terms of innovative sales per employee and total sales per employee. We find that service innovation does not increase innovative sales but is associated with higher total sales per employee.
The predictive value of centre tumour CD8+ T cells in patients with hepatocellular carcinoma: comparison with Immunoscore

The increasing evidences suggest that Immunoscore(IS), a combinatorial density analysis of CD8+ and CD3+ cells in the centre and invasive margin of tumour (CT and IM), has an advantage over the currently used tumour staging methods in a variety of tumours; however, IS in hepatocellular carcinoma remains unreported. In this study, IS was performed on serial sections from two HCC cohorts (total 449) and compared with current tumour staging systems. Kaplan–Meier curves illustrate a positive association between a higher IS (IS≥2) and longer survival of HCC patients. Although the IS was highly related to the outcome of patients, however, IS seems not to be the optimal prognostic factor when compared with the CD8CT. As noted, among CD8CT, CD8IM, CD3CT, CD3IM and IS, CD8CT, as an independent indicator, demonstrated the highest prognostic impact on both DFS and OS in our Cox multivariate regression analysis (P< 0.0001). In our study, the minimum cut-off value was 93 CD8CT cells per mm2, to be used to divide the patients into CD8CTHi group and CD8CTLo group in clinical settings. Our results suggest that CD8CT densities analysis notably improved the accuracy of survival prediction with convenience of clinical manipulation in HCC.
Modeling the Milky-Way satellite galaxies

We revisit the Milky Way satellite problem using a semi-analytical model of galaxy formation and compare the predicted luminosity function to recent result from the SDSS. With cosmic photoionization, the luminosity function can be brought into broad agreement with the data between $-15 -5$) formed in halos with virial temperature over $10^{4}K$ (mass around $10^{9} M_{\odot}$ before accretion), but their baryon content are strongly suppressed by photoionization. We model the mass evolution of the subhalos, and compare the predicted mass-to-light ratio with the data. We find that the measured total mass inside the luminous radii of satellites are about 5% of their present total dark matter mass.
Cycle-oriented distributed preconfiguration: ring-like speed with mesh-like capacity for self-planning network restoration

Cycle-oriented preconfiguration of spare capacity is a new idea for the design and operation of mesh-restorable networks. It offers a sought-after goal: to retain the capacity-efficiency of a mesh-restorable network, while approaching the speed of line-switched self-healing rings. We show that through a strategy of pre-failure cross-connection between the spare links of a mesh network, it is possible to achieve 100% restoration with little, if any, additional spare capacity than in a mesh network. In addition, we find that this strategy requires the operation of only two cross-connections per restoration path. Although spares are connected into cycles, the method is different than self-healing rings because each preconfigured cycle contributes to the restoration of more failure scenarios than can a ring. Additionally, two restoration paths may be obtained from each pre-formed cycle, whereas a ring only yields one restoration path for each failure it addresses. We give an optimal design formulation and results for preconfiguration of spare capacity and describe a distributed self-organizing protocol through which a network can continually approximate the optimal preconfiguration state.
Voice Activity Detection Using MFCC Features and Support Vector Machine

We define voice activity detection (VAD) as a binary classification problem and solve it using the support vector machine (SVM). Challenges in SVM-based approach include selection of representative training segments, selection of features, normalization of the features, and post-processing of the frame-level decisions. We propose to construct a SVMVAD using MFCC features because they capture the most relevant information of speech, and they are widely used in speech and speaker recognition making the proposed method easy to integrate with existing applications. Practical usability is our driving motivation: the proposed SVM-VAD should be easily adapted into new conditions.
Urinary Metabolomics on the Biochemical Profiles in Diet-Induced Hyperlipidemia Rat Using Ultraperformance Liquid Chromatography Coupled with Quadrupole Time-of-Flight SYNAPT High-Definition Mass Spectrometry

Ultraperformance liquid chromatography coupled with quadrupole time-of-flight synapt high-definition mass spectrometry metabolomics was used to characterize the urinary metabolic profiling of diet-induced hyperlipidaemia in a rat model. Analysis was done by orthogonal partial least squares discriminant analysis, correlation analysis, heat map analysis, and KEGG pathways analysis. Potential biomarkers were chosen by S-plot and were identified by accurate mass, isotopic pattern, and MS/MS fragments information. Significant differences in fatty acid, amino acid, nucleoside, and bile acid were observed, indicating the perturbations of fatty acid, amino acid, nucleoside, and bile acid metabolisms in diet-induced hyperlipidaemia rats. This study provides further insight into the metabolic profiling across a wide range of biochemical pathways in response to diet-induced hyperlipidaemia.
LED distribution and noise analysis of radio on visible light (RoVL) communication system

Visible light communication has become the next uprising technology in terms of supplementing radio systems for indoor applications. The technology has established itself in terms of offering excellent data rates, signal coverage and reliability for a diverse range of applications. Although communication capability of the LED has already been well researched, there is the requirement to investigate efficient methods for the uniform lighting distribution in an indoor environment. The following paper discusses the peripheral attributes influencing RoVL systems, touching upon the LED distribution and mathematical noise analysis for indoor cellular applications.
African American Adolescent Girls in Impoverished Communities: Quality of Parenting and Adolescent Outcomes

The relationship between parenting style and adolescent functioning was examined in a sample of 302 African American adolescent girls and their mothers who live in impoverished neighborhoods. Although previous research has found that authoritative parenting, as compared to authoritarian, permissive, and disengaged parenting, is associated with positive adolescent outcomes in both White, middle class and large multi-ethnic school-based samples, these parenting categories have not been fully explored within African American families living at or near the poverty line. Data were collected using in-home interviews and self-administered questionnaires of adolescent girls and their self-identified mothers or mother-figures. Parenting style was found to be significantly related to adolescent outcomes in multiple domains including externalizing and internalizing behaviors, academic achievement, work orientation, sexual experience and pregnancy history. Specifically, teens whose mothers were disengaged (low on both Parental Warmth and Supervision/Monitoring) were found to have the most negative outcomes. Furthermore, a significant difference was not found between authoritative and authoritarian parenting.
APPLICATION OF IMAGE ANALYSIS TO ASSESSING CRITICAL PORE SIZE FOR PERMEABILITY PREDICTION OF CEMENT PASTE

This paper explores image analysis techniques that provide insight into the nature of pore structure as observed in backscattered electron images of polished sections. On the basis of mathematical morphology, the pore size distribution is characterised and the critical pore size is determined for cement paste at different hydration time. The influence of image resolution is investigated. The permeability of cement paste can be predicted according to General Effective Media (GEM) theory. Comparison between permeability estimation and experiment results reveals good agreement.
International Migration, Agency and Regional Development in Rural Europe

La migracio internacional a les zones rurals s’ha convertit en un proces cada vegada mes important a Europa que adquireix el potencial d’actuar com a factor clau del canvi en els espais involucrats. Els primers resultats obtinguts fins ara documenten els patrons de la migracio internacional i les experiencies dels migrants, pero aquest cos emergent de la literatura es parcial i fragmentada entre diversos estudis que, a diferents escales regionals, es focalitzen en alguns tipus especifics de migracio. Aquest treball te com a objectiu construir una perspectiva mes holistica a partir dels coneixements aportats per tres projectes d’investigacio que col·lectivament han estudiat multiples dimensions de la migracio en diversos casos d’estudi europeus. S’aprecien caracteristiques generals de la migracio internacional contemporania a les zones rurals que denoten la complexitat dels processos migratoris i els seus impactes, i que posen en questio moltes de les percepcions preestablertes de la migracio de les zones rurals. Tambe es presenta quin es l’impacte de la migracio internacional per a les localitats receptores i, en particular, es considera la contribucio potencial que te aquesta migracio internacional per al desenvolupament regional.
Learning for Expertise Matching with Declination Prediction

We study the problem of finding appropriate experts who are able to complete timely reviews and would not say"no"to the invitation. The problem is a central issue in many question-and-answer systems, but has received little research attention. Different from most existing studies that focus on expertise matching, we want to further predict the expert's response: given a question, how can we find the expert who is able to provide a quality review and will agree to do it. We formalize the problem as a ranking problem. We first present an embedding-based question-to-expert distance metric for expertise matching and propose a ranking factor graph (RankFG) model to predict expert response. For online evaluation, we developed a Chrome Extension for reviewer recommendation and deployed it in the Google Chrome Web Store, and then collected the reviewers' feedback. We also used the review bidding of a CS conference for evaluation. In the experiments, the proposed method demonstrates its superiority (+6.6-21.2% by MAP) over several state-of-the-art algorithms.
Slow Delphi: An investigation into information behaviour and the Slow Movement

As part of a wider study of the relevance of the principles and practices of the Slow Movement to the information disciplines and professions, a Delphi study was carried out with 17 researchers in information behaviour and practices. A novel variant of the Delphi technique, termed the Slow Delphi, was devised for this study. This is aimed at eliciting qualitative understanding of complex conceptual topics, where there are a variety of perspectives and positions to be considered. The results of the study show a variety of points of potential applicability of Slow principles in research into information behaviour and practices, and in information provision. These include: more explicit inclusion of a temporal dimension in information behaviour models; greater recognition of the importance of the tempo of information seeking; more critical consideration of speed and scale as factors in the information environment; and the potential for individuals to exercise greater control over their information environment.
Ontogeny of Numerical Abilities in Fish

Background It has been hypothesised that human adults, infants, and non-human primates share two non-verbal systems for enumerating objects, one for representing precisely small quantities (up to 3–4 items) and one for representing approximately larger quantities. Recent studies exploiting fish's spontaneous tendency to join the larger group showed that their ability in numerical discrimination closely resembles that of primates but little is known as to whether these capacities are innate or acquired. Methodology/Principal Findings We used the spontaneous tendency to join the larger shoal to study the limits of the quantity discrimination of newborn and juvenile guppies. One-day old fish chose the larger shoal when the choice was between numbers in the small quantity range, 2 vs. 3 fish, but not when they had to choose between large numbers, 4 vs. 8 or 4 vs. 12, although the numerical ratio was larger in the latter case. To investigate the relative role of maturation and experience in large number discrimination, fish were raised in pairs (with no numerical experience) or in large social groups and tested at three ages. Forty-day old guppies from both treatments were able to discriminate 4 vs. 8 fish while at 20 days this was only observed in fish grown in groups. Control experiments showed that these capacities were maintained after guppies were prevented from using non numerical perceptual variables that co-vary with numerosity. Conclusions/Significance Overall, our results suggest the ability of guppies to discriminate small numbers is innate and is displayed immediately at birth while discrimination of large numbers emerges later as a result of both maturation and social experience. This developmental dissociation suggests that fish like primates might have separate systems for small and large number representation.
Injectable thermosensitive hydrogel composite with surface-functionalized calcium phosphate as raw materials

In this study, L-lactide was used to modify the tricalcium phosphate (β-TCP) and tetracalcium phosphate (TTCP) surface which can form functionalized poly(l-lactic acid) (PLLA)-grafted β-TCP (g-β-TCP) and PLLA-grafted TTCP (g-TTCP) particles. The g-β-TCP and g-TTCP obtained were incorporated into a PEG-PCL-PEG (PECE) matrix to prepare injectable thermosensitive hydrogel composites. The morphology of the hydrogel composites showed that the g-β-TCP and g-TTCP particles dispersed homogeneously into the polymer matrix, and each hydrogel composite had a three-dimensional network structure. Rheologic analysis showed that the composite had good thermosensitivity. Changes in calcium concentration and pH in simulated body fluid solutions confirmed the feasibility of surface-functionalized calcium phosphate for controlled release of calcium. All the results indicate that g-β-TCP/PECE and g-TTCP/PECE hydrogels might be a promising protocol for tissue engineering.
Nuclear Disks of Gas and Dust in Early-Type Galaxies and the Hunt for Massive Black Holes: Hubble Space Telescope Observations of NGC 6251

We discuss Hubble Space Telescope (HST) optical images and spectra of NGC 6251, a giant E2 galaxy and powerful radio source at a distance of 106 Mpc (for H0=70 km s-1 Mpc-1). The galaxy is known to host a very well-defined dust disk; the exceptional resolution of our V and I images allows a detailed study of the disk structure. Furthermore, narrowband images centered on the Hα + [N II] emission lines reveal the presence of ionized gas in the inner 0. ″3 of the disk. We used the HST Faint Object Spectrograph with the 0. ″09 aperture to study the velocity structure of the disk. Dynamical models were constructed for two extreme (in terms of central concentration) analytical representations of the stellar surface brightness profile, from which the mass density and corresponding rotational velocity are derived assuming a constant mass-to-light ratio (M/L)V~8.5 M☉/L☉. For both representations of the stellar component, the models show that the gas is in Keplerian motion around a central mass ~4-8×108 M☉ and that the contribution of radial flows to the velocity field is negligible.
On user selection in cognitive broadcast channels

This paper considers the cognitive broadcast channels (BC) with user selection, and presents an analytical investigation on the performance of such systems. Specifically, exact closed-form expressions for the outage probability and multiuser interference diversity (MID) gain of the cognitive BC are derived. In addition, closed-form upper and lower bounds for the ergodic capacity of the system are presented. These analytical results not only provide a fast and efficient means to evaluate the performance of the system, they also enable us to gain valuable insights on the impact of key parameters such as peak transmit power, interference temperature constraint, primary transmit power and channel fading parameters on the system performance. Our findings suggest an intuitive result that increasing the number of cognitive users significantly improves the performance of the system, and a rather surprising conclusion that strong primary user interference is beneficial in terms of the MID gain.
Understanding traffic dynamics in cellular data networks

We conduct the first detailed measurement analysis of network resource usage and subscriber behavior using a large-scale data set collected inside a nationwide 3G cellular data network. The data set tracks close to a million subscribers over thousands of base stations. We analyze individual subscriber behaviors and observe a significant variation in network usage among subscribers. We characterize subscriber mobility and temporal activity patterns and identify their relation to traffic volume. We then investigate how efficiently radio resources are used by different subscribers as well as by different applications. We also analyze the network traffic from the point of view of the base stations and find significant temporal and spatial variations in different parts of the network, while the aggregated behavior appears predictable. Broadly, our observations deliver important insights into network-wide resource usage. We describe implications in pricing, protocol design and resource and spectrum management.
THE COMPETING -COMPLEMENTARITY OF SOCIAL MEDIA Research-in-Progress

This study presents the unique benevolent and malevolent nature of social media, intertwined to its capabilities, which influences its role as a benefactor and a competitor. We conceptualize this phenomenon as the competing-complementarity of social media. We explain competing-complementarity using Teece’s (1986) concept of complementary assets and Porter’s (2001) work on competitive forces shaping strategy and business on the Internet. We observe this phenomenon of competingcomplementarity of social media on news firms and offer its evidence through opinionated data analysis.
The Information Behavior of Public Health Educators Working in Appalachia

Public health educators serve as a vital interface between medical and public health authorities and community members for the dissemination of important information related to disease prevention and health promotion. Public health educators deliver packaged educational programs, develop their own original programs, field impromptu health questions, and conduct community health assessments. This dissertation research employed a survey in January 2011 to illuminate the informationrelated attitudes and activities of health educators working in public health departments in Appalachia. The research questions explored how these health educators find and use information, how they perceive their information needs and their abilities to find and evaluate information related to their work, their satisfaction with the information resources available to them, and the impact of the economic and health status of their county or region on their information behavior. Key findings include that respondents are frequent information seekers with highspeed Internet access, but they need better access to information and data related to their work. Respondents use the web heavily but have concerns about evaluating online information. Information literacy training must accommodate their workflows and budgets. Library resource use is currently low but has the greatest potential for meeting their complex needs. Suggestions include multi-dimensional collaborations between health educators and information professionals and a new, more information-centric role for health educators.