Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the Gini Coefficient in Spatial Scan Statistics for Detecting Irregularly Shaped Clusters

Spatial scan statistics with circular or elliptic scanning windows are commonly used for cluster detection in various applications, such as the identification of geographical disease clusters from epidemiological data. It has been pointed out that the method may have difficulty in correctly identifying non-compact, arbitrarily shaped clusters. In this paper, we evaluated the Gini coefficient for detecting irregularly shaped clusters through a simulation study. The Gini coefficient, the use of which in spatial scan statistics was recently proposed, is a criterion measure for optimizing the maximum reported cluster size. Our simulation study results showed that using the Gini coefficient works better than the original spatial scan statistic for identifying irregularly shaped clusters, by reporting an optimized and refined collection of clusters rather than a single larger cluster. We have provided a real data example that seems to support the simulation results. We think that using the Gini coefficient in spatial scan statistics can be helpful for the detection of irregularly shaped clusters.
Datenerfassung und Privatsphäre in partizipativen Sensornetzen

Partizipative Sensornetze (PSNs) stellen eine neue Art von Sensornetzen dar, die auf Basis von freiwillig zur Verfugung gestellten Mobiltelefonen etabliert werden. Sie ermoglichen eine grosflachige Erfassung von Messdaten im direkten Umfeld von Menschen und konnen fur zahlreiche Anwendungsszenarien verwendet werden. Neben ihren Vorzugen bringen PSNs aber auch Schwierigkeiten mit sich. Zwei zentrale Herausforderungen sind die ressourcenschonende Datenerfassung und der Schutz der Privatsphare – beide resultieren aus der Instrumentalisierung privater Mobiltelefone zur Datenerfassung. Da der primare Verwendungszweck der Gerate nicht die Aufzeichnung von Messdaten ist, darf diese deren Ressourcen nicht merklich belasten. Auserdem muss sichergestellt werden, dass durch die Erfassung von Messdaten die Privatsphare der teilnehmenden Nutzer nicht verletzt wird. Der erste Teil der Arbeit beschaftigt sich mit dem Aspekt der ressourcenschonenden Datenerfassung. Zunachst werden PSNs betrachtet, bei denen punktuell Messungen durchgefuhrt werden. Bei diesen Netzen mussen die teilnehmenden Gerate uber die durchzufuhrenden Messungen unterrichtet werden. Damit hierbei die Ressourcen der Endgerate nicht unnotig belastet werden, wird ein Konzept vorgestellt, das einerseits eine robuste Verteilung der Messaufgaben sicherstellt, gleichzeitig jedoch versucht, die Energieressourcen der Mobiltelefone zu schonen. Bei PSNs mit grosflachiger und kontinuierlicher Datenerfassung spielt die Verteilung der Messaufgaben keine so entscheidende Rolle. Hier muss vielmehr sichergestellt werden, dass die Energie- und die Ubertragungskosten auf Seiten der Nutzer moglichst gering bleiben. Aus diesem Grund wird ein Ansatz zur lokalen Gruppierung von Messknoten beschrieben, der durch eine Aufteilung der anfallenden Aufgaben und eine intelligente Auswahl der Knoten zu einer ressourcenschonenden und weniger redundanten Datenerfassung fuhrt. Der zweite Teil der Arbeit befasst sich mit dem Schutz der Privatsphare der Teilnehmer und beinhaltet zwei Themenblocke. Zum einen wird ein Ansatz zur automatisierten Erzeugung von Privatsphare-Zonen vorgestellt, der ohne das Eingreifen der Nutzer die Zonen an das jeweilige Umfeld anpasst. Diese Zonen werden um die vom Nutzer haufig besuchten Orte erstellt und verhindern so mogliche, auf der Identifikation dieser Orte basierende Deanonymisierungsangriffe. Zum anderen wird ein Kalibrierungssystem fur PSNs beschrieben, dessen Fokus sowohl auf der Verbesserung der Datenqualitat als auch auf der Wahrung der Privatsphare der Nutzer liegt. Hierfur ermoglicht dieses eine ruckwirkende Anpassung bereits ubertragener Daten, verhindert aber gleichzeitig durch eine Modifikation der Kalibrierungsparameter und der Upload-Zeitpunkte eine direkte Zuordnung zu einem Nutzer.
Health-care robotics goes commercial: the ‘HelpMate’ experience

Even as the first industrial robot started earning its keep, researchers were dreaming of using robots in servicejobs, intimately serving human mentors as Isaac Asimovwould have had it. But that was not to be. Initially therewas a paucity of appropriate technology. Then the barriers became economic and institutional. These barriers will be discussed to set the scene. The discussion then will focus on a spectrum of technologythat has been channelled into a cost-effective commercialproduct. HelpMate utilises an array of sensors andsensor fusion to succeed as a courier in multi-storeyedcluttered hospitals. Our advice for all researchers whowould have robots serve in health care is: “Get out intothe real world as soon as you can”.
Event Oriented Representation for Collaborative Activities (EORCA)

Summary Objectives: In this paper, we introduce a method that aims at describing components of medical activities that are performed by a medical team, including physicians and nurses, during patients’ management in an ICU (intensive care unit). This method is based on formal taskanalyses developed in cognitive ergonomics. Our ultimate aim is to build a method covering the observation and the representation of collective activities during patients’ management, which should be re-usable by the team members in order to prepare themselvesfor accreditation. Methods: This method comprises two main steps: – the formal observations of medical staff’s activities that occur during patient management, -a representation of the findings with regard to an ontology and a temporal flowchart, which describes actors and events related to patient management. Results: This paper describes field studies performed in ICUs. This method has been used for analyzing the management of 24 cases of neurological and multiple traumas. We have represented the different actions of the medical team members (clinicians, nurses and outside medical consultants). Conclusion: The results allow us to identify the specific features of these complexand time-constrained situations, especially about the strong collaborative activities between members of the patient-care teams, especially the interaction between information management and medical actions.
The AdMit Package

This short note presents the R package AdMit which provides flexible functions to approximate a certain target distribution and it provides an efficient sample of random draws from it, given only a kernel of the target density function. The estimation procedure is fully automatic and thus avoids the time-consuming and difficult task of tuning a sampling algorithm. To illustrate the use of the package, we apply the AdMit methodology to a bivariate bimodal distribution. We describe the use of the functions provided by the package and document the ability and relevance of the methodology to reproduce the shape of non-elliptical distributions.
Impact Point Prediction for Thrusting Projectiles in the Presence of Wind

Wind can and often does significantly affect impact-point prediction (IPP) performance for thrusting/ballistic endoatmospheric projectiles. Wind exacerbates the estimation ambiguity between drag and thrust in the dynamic model and induces additional uncertainty in the IPP procedure. A tracker accounting for the wind effect is presented and simulation study shows that it can be fully compensated if the wind information is available. An N-point adaptive initialization based on a goodness-of-fit test and a statistical significance test is introduced. Based on the multiple interacting multiple model (MIMM) approach developed recently, the IPP performance is investigated with respect to the total observation time and the sensor accuracy in various wind scenarios. In each Monte Carlo (MC) run of the simulation study, under the same sensor accuracy and the same observation time, the same set of random numbers has been used (but different in different MC runs) for the same caliber projectile in various wind scenarios to examine how much the wind affects the IPP performance with/without the exact knowledge of the wind information. The final conclusion is that with the wind effect accounted for, the IPP performance in the presence of wind is practically the same as in its absence.
Cost and complications during in-hospital transport of critically ill patients: a prospective cohort study.

We prospectively studied transport of a group of 100 surgery/trauma patients and a matched control group in the ICU. APACHE II scores for the two groups were 23 +/- 6 and 20 +/- 8. During transport both groups had ECG, heart rate, blood pressure, and oxygen saturation continuously monitored. We also determined the cost and results of transport for those patients requiring diagnostic testing. There were six diagnostic tests performed: CT scan of the abdomen (39%), CT scan of the head (31%), CT scan of the chest (8%), CT scan of the cervical spine (4%), angiography (14%), and tomography (4%). Average transport time was 74 +/- 16 minutes with a range of 20-225 minutes. Physiologic changes defined as a BP +/- 20 mm Hg, heart rate +/- 20 beats/min, respiratory rate +/- 5 breaths/min, or oxygen saturation +/- 5% for 5 minutes duration occurred in 66% of transported patients and 60% of ICU patients. There were no differences in arterial blood gas levels before and during transport. In 39% of transports, the results of diagnostic testing produced a change in patient management within 48 hours. Abdominal CT scanning and angiography were associated with the highest percentage of tests leading to a management change (51% and 57%). The average charge to the patient was $612.00 and the average cost to the hospital $452.00. Our results suggest that while physiologic changes are frequent during transport, they are also frequent in ICU patients as a consequence of the severity of illness. (ABSTRACT TRUNCATED AT 250 WORDS)
Characterization of a novel promoter insertion in the c-rel locus

Avian leukosis virus (ALV)-induced neoplasias are commonly found associated with integrations of proviral DNA in proximity to the myc gene. However, studies suggest that other genetic events are necessary for the complete neoplastic phenotype. A cell line (HP46) derived from an ALV-induced tumor has been analyzed and found to contain, in addition to an alteration in the myc gene, a promoter insertion in the c-rel locus. Both loci expressed large amounts of mRNA coding for their respective proteins. Several rel-related transcripts were expressed in the HP46 line, and four rel-related proteins of lower molecular weight than the wild-type p68c-rel product were detected. At least two of these transcripts contained U5 long terminal repeat sequences on the 5' end of the RNA. Structural data suggest that the messages may have evolved by an alternative splicing mechanism. This is the first example of a promoter insertion in the c-rel locus, a gene whose viral counterpart v-rel is responsible for the induction of lymphoid tumors.
Structural and functional characterisation of multi‐copper oxidase CueO from lignin‐degrading bacterium Ochrobactrum sp. reveal its activity towards lignin model compounds and lignosulfonate

The identification of enzymes responsible for oxidation of lignin in lignin‐degrading bacteria is of interest for biotechnological valorization of lignin to renewable chemical products. The genome sequences of two lignin‐degrading bacteria, Ochrobactrum sp. , and Paenibacillus sp. , contain no B‐type DyP peroxidases implicated in lignin degradation in other bacteria, but contain putative multicopper oxidase genes. Multi‐copper oxidase CueO from Ochrobactrum sp. was expressed and reconstituted as a recombinant laccase‐like enzyme, and kinetically characterized. Ochrobactrum CueO shows activity for oxidation of β‐aryl ether and biphenyl lignin dimer model compounds, generating oxidized dimeric products, and shows activity for oxidation of Ca‐lignosulfonate, generating vanillic acid as a low molecular weight product. The crystal structure of Ochrobactrum CueO (OcCueO) has been determined at 1.1 Å resolution (PDB: 6EVG), showing a four‐coordinate mononuclear type I copper center with ligands His495, His434 and Cys490 with Met500 as an axial ligand, similar to that of Escherichia coli CueO and bacterial azurin proteins, whereas fungal laccase enzymes contain a three‐coordinate type I copper metal center. A trinuclear type 2/3 copper cluster was modeled into the active site, showing similar structure to E. coli CueO and fungal laccases, and three solvent channels leading to the active site. Site‐directed mutagenesis was carried out on amino acid residues found in the solvent channels, indicating the importance for residues Asp102, Gly103, Arg221, Arg223, and Asp462 for catalytic activity. The work identifies a new bacterial multicopper enzyme with activity for lignin oxidation, and implicates a role for bacterial laccase‐like multicopper oxidases in some lignin‐degrading bacteria.
An improved synthesis algorithm for reflectarrays design

An improved synthesis procedure is presented in this letter for the design of microstrip reflectarray antennas. The iterative projection based algorithm is modified to include the effect of different incidence angles on the reflectarray elements in the evaluation of the design curve. Experimental results on an X-band prototype of unequal microstrip patch elements are reported.
SSBC 2018: Sclera Segmentation Benchmarking Competition

This paper summarises the results of the Sclera Segmentation Benchmarking Competition (SSBC 2018). It was organised in the context of the 11th IAPR International Conference on Biometrics (ICB 2018). The aim of this competition was to record the developments on sclera segmentation in the cross-sensor environment (sclera trait captured using multiple acquiring sensors). Additionally, the competition also aimed to gain the attention of researchers on this subject of research. For the purpose of benchmarking, we have developed two datasets of sclera images captured using different sensors. The first dataset was collected using a DSLR camera and the second one was collected using a mobile phone camera. The first dataset is the Multi-Angle Sclera Dataset (MASD version 1), which was used in the context of the previous versions of sclera segmentation competitions. The images in the second dataset were captured using . a mobile phone rear camera of 8-megapixel. As baseline manual segmentation mask of the sclera images from both the datasets were developed. Precision and recall-based statistical measures were employed to evaluate the effectiveness of the submitted segmentation technique and to rank them. Six algorithms were submitted towards the segmentation task. This paper analyses the results produced by these algorithms/system and defines a way forward for this subject of research. Both the datasets along with some of the accompanying ground truth/baseline mask will be freely available for research purposes upon request to authors by email.
Simple boundary correction for density estimation kernel

If a probability density function has bounded support, kernel density estimates often overspill the boundaries and are consequently especially biased at and near these edges. In this paper, we consider the alleviation of this boundary problem. A simple unified framework is provided which covers a number of straightforward methods and allows for their comparison: 'generalized jackknifing' generates a variety of simple boundary kernel formulae. A well-known method of Rice (1984) is a special case. A popular linear correction method is another: it has close connections with the boundary properties of local linear fitting (Fan and Gijbels, 1992). Links with the 'optimal' boundary kernels of M011er (1991) are investigated. Novel boundary kernels involving kernel derivatives and generalized reflection arise too. In comparisons, various generalized jackknifing methods perform rather similarly, so this, together with its existing popularity, make linear correction as good a method as any. In an as yet unsuccessful attempt to improve on generalized jackknifing, a variety of alternative approaches is considered. A further contribution is to consider generalized jackknife boundary correction for density derivative estimation. En route to all this, a natural analogue of local polynomial regression for density estimation is defined and discussed.
A hybrid approach to detecting alerts in Arabic e-mail messages

Detecting alert e-mails received daily by millions of subscribers from online news providers is a relatively new area of research which falls within the e-mail filtering field of research. Alert e-mails may address government, political issues, breaking news, and criminal attacks. This article proposes a hybrid approach based on both the Graham statistical filter and rule-based filters to detect and filter Arabic alert e-mails. The approach is basically language-independent. To test the performance of the proposed approach, several experiments have been conducted using a set of 1500 Arabic messages related to criminal activities collected manually from some news websites such as Al-Jazeera Net and BBC Arabic news. The results showed that the proposed approach has achieved a competitive performance in terms of accuracy, precision, and F-measure, where about 87% of the messages tested have been correctly detected and filtered by the proposed filter.
Nonholonomic motion control of an autonomous underwater vehicle

A submersible can carry limited supply of fuel onboard. Use of control planes along with propeller for major part of its motion can conserve much energy; thus extending the duration of underwater missions. Such an underwater vehicle has nonholomic nature due to its nonlinear kinematic structure. The authors describe the kinematics of an underwater vehicle by six state variables and four inputs, and use a Lyapunov-like function to develop a nonlinear feedback control scheme. Effectiveness of the nonlinear control scheme was verified through numerical simulation. <<ETX>>
Measurement Uncertainty in Racial and Ethnic Identification Among Adolescents of Mixed Ancestry: A Latent Variable Approach

In this article, we operationalize identification of mixed racial and ethnic ancestry among adolescents as a latent variable to (a) account for measurement uncertainty, and (b) compare alternative wording formats for racial and ethnic self-categorization in surveys. Two latent variable models were fit to multiple mixed-ancestry indicator data from 1,738 adolescents in New England. The first, a mixture factor model, accounts for the zero-inflated mixture distribution underlying mixed-ancestry identification. Alternatively, a latent class model allows classification distinction between relatively ambiguous versus unambiguous mixed-ancestry responses. Comparison of individual indicators reveals that the Census 2000 survey version estimates higher prevalence of mixed ancestry but is less sensitive to relative certainty of identification than are alternate survey versions (i.e., offering a “mixed” check box option, allowing a written response). Ease of coding and missing data are also considered in discussing the relative merit of individual mixed-ancestry indicators among adolescents.
Application of split‐green fluorescent protein for topology mapping membrane proteins in Escherichia coli

A topology map of a membrane protein defines the location of transmembrane helices and the orientation of soluble domains relative to the membrane. In the absence of a high‐resolution structure, a topology map is an essential guide for studying structure–function relationships. Although these maps can be predicted directly from amino acid sequence, the predictions are more accurate if combined with experimental data, which are usually obtained by fusing a reporter protein to the C‐terminus of the protein. However, as reporter proteins are large, they cannot be used to report on the cytoplasmic/periplasmic location of the N‐terminus of a protein. Here, we show that the bimolecular split‐green fluorescent protein complementation system can overcome this limitation and can be used to determine the location of both the N‐ and C‐termini of inner membrane proteins in Escherichia coli.
League Tables for Performance Improvement in Health Care

Objectives: Increasingly health care performance data are being disseminated in the form of ‘league tables' of health care providers, with the implication that such publication helps purchasers select the better providers, and spurs providers into improvements. This paper examines progress to date. Methods: Three stages of the league table process are considered: measurement, analysis and action. Results: A wide range of measurement schemes are now in place, although the emphasis has been on process variables and mortality as a measure of outcome. Several analytical techniques have been deployed to help users make sense of league tables, and to help determine the causes of variations in reported performance. The weakest aspect of current methods relates to the use to which such analysis is put. Conclusions: A haphazard approach to using league table data exists, with few reports on the impact of publication. A variety of directions for future research into the use of performance data are needed.
Segmental bioimpedance analysis in professional cyclists during a three week stage race

Bioelectrical impedance analysis has been widely used in the clinical and sport areas because it is a safe, non-invasive, rapid and inexpensive technique that evaluates some electrical properties of the body, such as resistance (R), reactance (Xc) and phase angle (PhA). The aim of this study is to evaluate body composition changes in professional cyclists, participating at the Giro D’Italia 2012, a three week stage race, and in particular PhA modifications as an expression of fat free mass nutritional status. Data were collected at the beginning, in the middle and at the end of the competition. Body weight, circumferences, skinfold thickness and BIA variables (total and segmental body) were measured. Body composition, measured by skinfold thickness, changed during the competition: fat free mass increased, but not significantly, in the middle and at the end of the competition, whereas fat mass significantly decreased versus the baseline in the middle and at the end of the competition. The total PhA did not significantly change in the middle of the competition but was significantly reduced at the end. The arm PhA did not change significantly at both times of the competition, whereas a significant reduction was reported for leg PhA in the middle and at the end of the competition. These results suggest the use of bioimpedance analysis, in particular PhA measurement, to monitor athletes’ fat free mass characteristics during medium- and long-term competitions.