Miracle-dz/UniFAR-FTUs huggingface dataset:
Chemotherapy-induced enterocutaneous fistula after perineal hernia repair using a biological mesh: a case report

This is the first reported case of an enterocutaneous fistula as a late complication to reconstruction of the pelvic floor with a Permacol™ mesh after a perineal hernia. A 70-year-old man had a reconstruction of the pelvic floor with a biological mesh because of a perineal hernia after laparoscopic abdominoperineal resection. Nine months after the perineal hernia operation, the patient had multiple metastases in both lungs and liver. The patient underwent chemotherapy, including bevacizumab, irinotecan, calcium folinate, and fluorouracil. Six weeks into chemotherapy, the patient developed signs of sepsis and complained of pain from the right buttock. Ultrasound examination revealed an abscess, which was drained, guided by ultrasound. A computed tomography scan showed a subcutaneous abscess cavity located in the right buttock with communication to the small bowel. Operative findings confirmed a perineal fistula from the distal ileum to perineum. A resection of the small bowel with primary anastomosis was performed. The postoperative course was complicated by fluid and electrolyte disturbances, but the patient was stabilized and finally discharged to a hospice for terminal care after 28 days of hospital stay. It seems that hernia repairs with biological meshes have lower erosion and infection rates compared with synthetic meshes, and so far, evidence suggests that biological grafts are safe and effective in the treatment of pelvic floor reconstruction. There have been no reports of enteric fistulas after pelvic reconstruction with biological meshes. However, the development of intestinal fistulas after chemotherapy with bevacizumab has been described in the literature. Our case report supports this association between bevacizumab and fistula formation among rectal cancer patients, as symptoms of a fistula started only 6 weeks into bevacizumab treatment but approximately 12 months after the perineal hernia operation, even after pelvic reconstruction using a biological mesh and without local recurrence.
Powerline Interference Reduction in ECG Using Combination of MA Method and IIR Notch

The ECG Signal is a graphical representation of the electromechanical activity of the cardiac system. It is one of the most important physiological parameter, which is being extensively used for knowing the state of cardiac patients. For diagnostic quality ECG recordings, signal acquisition must be noise free. Since ECG signals are only of the order of 1 mV in amplitude, the ECG acquisition is susceptible to many types of noises and power line interference is one of them. Many types of analog and Digital Filters have been proposed/ suggested by the researchers. The present paper has proposed a combination technique of two methods i.e. the moving averages technique and IIR notch to reduce the power line interference. The results have clearly indicated that there is reduction in the power line noise in the ECG signal. The filter proposed in this paper has fewer coefficients and hence lesser computation time. So the above combination is applicable for real time processing. The results have been concluded using Matlab and MIT-BIH database (with 60 Hz powerline interference)
NMR of laser-polarized xenon in human blood (optical pumpingylaser-polarized xenon)

Bymeansofopticalpumpingwithlaserlight it is possible to enhance the nuclear spin polarization of gaseous xenon by four to five orders of magnitude. The enhanced polarization has allowed advances in nuclear mag- neticresonance(NMR)spectroscopyandmagneticresonance imaging (MRI), including polarization transfer to molecules andimagingoflungsandothervoidspaces.Acriticalissuefor such applications is the delivery of xenon to the sample while maintaining the polarization. Described herein is an efficient method for the introduction of laser-polarized xenon into systems of biological and medical interest for the purpose of obtaining highly enhanced NMRyMRI signals. Using this method, we have made the first observation of the time- resolved process of xenon penetrating the red blood cells in fresh human blood—the xenon residence time constant in the red blood cells was measured to be 20.4 62 ms. The potential of certain biologically compatible solvents for delivery of laser-polarizedxenontotissuesforNMRyMRIisdiscussedin lightoftheirrespectiverelaxationandpartitioningproperties.
A Fast Calibration Method for Magnetometer Array and the Application of Ferromagnetic Target Localization

The vector magnetometer array is commonly used in ferromagnetic target detection and localization. Due to technological limitations, the accuracy of measurements is restricted by magnetometer errors, misalignment errors between magnetometers and the interference of soft iron and hard iron. In order to correct the measurement errors, a calibration method with less computation time is proposed. A magnetometer array is designed for ferromagnetic target detection and localization, which is calibrated by the proposed method. The results of our empirical evaluations confirm that the proposed method outperforms conventional calibration method both in terms of computation cost and accuracy. Different test specimens are used to test the detection range and the localization accuracy of the system. The array system compensated by the proposed method has a larger detection range.
Spatial Distribution of Oil Spills at the Sea Surface in the Southeastern Baltic Sea According to Satellite Sar Data

Abstract Statistical analysis of the spatial distribution of oil spills detected using Synthetic Aperture Radars (SAR) in 2004-2015 at the sea surface in the Southeastern Baltic Sea was conducted. Number, area, and shape of oil pollution division between Exclusive Economic Zones (EEZ) of Poland, Russia, and Lithuania were estimated for the first time. The most polluted area of the Southeastern Baltic Sea is Russian EEZ, where 55% of the total amount of detected oil spills, and 52% of the total area of oil pollution were located. The average area of an oil spill detected within Territorial Sea (TS) and EEZ was estimated. Tail-shaped spills associated with oil discharge from the moving vessels are prevailed, and their amount and area within TS and EEZ were estimated.
A Novel Fuzzy Based Clustering Algorithm for Text Classification

Due to the flourish of World Wide Web and the rapid development of the Internet technology, the increasing volume of digital textual data become more and more unmanageable, therefore the importance of text classification has gained significant attention. Text classification pose some specific challenges such as high dimensionality with each document (data point) having only a very small subset of them and representing multiple labels at the same time. Feature clustering is a powerful method to reduce the dimensionality of feature vectors for text classification. Many researchers worked on Feature Clustering for efficient text classification. Recently a Fuzzy based feature clustering was proposed in which Gaussian distribution is used for fuzzy membership function for clustering. But the problem of skewness may occur with this distribution. To overcome that we propose an efficient Fuzzy similarity based membership function for efficient clustering and with this proposed algorithm satisfactory results obtained.
Effective and Robust Query-Based Stemming

Stemming is a widely used technique in information retrieval systems to address the vocabulary mismatch problem arising out of morphological phenomena. The major shortcoming of the commonly used stemmers is that they accept the morphological variants of the query words without considering their thematic coherence with the given query, which leads to poor performance. Moreover, for many queries, such approaches also produce retrieval performance that is poorer than no stemming, thereby degrading the robustness. The main goal of this article is to present corpus-based fully automatic stemming algorithms which address these issues. A set of experiments on six TREC collections and three other non-English collections containing news and web documents shows that the proposed query-based stemming algorithms consistently and significantly outperform four state of the art strong stemmers of completely varying principles. Our experiments also confirm that the robustness of the proposed query-based stemming algorithms are remarkably better than the existing strong baselines.
GEOMETRIC AND STOCHASTIC ERROR MINIMISATION IN MOTION TRACKING

Tracking has been considered to be a single view problem conventionally, where one is interested in the projections of a particular object in a view over time. Even if many views of the same event are available, tracking often proceeds independently in each view. The geometric information due to the projection of the same object onto multiple image planes is not utilized. In this paper, we couple the stochastic error used by the Kalman filter with a geometric error term derived from multiview geometric constraints to achieve improved tracking in individual views. We present experimental results to evaluate the performance of the algorithm.
The impact of a spiritual legacy intervention in patients with brain cancers and other neurologic illnesses and their support persons

The objectives were to assess the feasibility of using a novel, comprehensive chaplain‐led spiritual life review interview to develop a personal Spiritual Legacy Document (SLD) for persons with brain tumors and other neurodegenerative diseases and to describe spiritual well‐being (SWB), spiritual coping, and quality of life (QOL) of patients and their support persons (SP) before and after receipt of the SLD.
A novel approach for fingerprint positioning based on spatial diversity

Recently, fingerprint positioning systems for urban areas using the existing wireless-LAN (WLAN) play important role in ubiquitous applications. The most challenge in fingerprint positioning is how to reduce the number of training samples and high time consumption with no significant degradation in location accuracy. To deal with this problem, we propose a micro-cell-based radio map construction method based on spatial correlation of collected signal samples and spatial diversity. We present how to apply these properties to improve positioning accuracy and reduce time consumption of constructing a metropolitan-scale radio map. To further enhance the positioning accuracy and reduce latency for real-time positioning, we propose an unequal weighting fast matching algorithm to exploit temporal-spatial diversity and spatial continuity of the objects' movement trajectory. The practical implementation of positioning mobile device at different speeds in urban environments is described and conducted. Experimental results show that our algorithms can significantly improve the performance of WLAN-based fingerprint positioning system.
Theta Responses Are Involved in LexicalSemantic Retrieval during Language Processing

Oscillatory neuronal dynamics, observed in the human electroencephalogram (EEG) during language processing, have been related to the dynamic formation of functionally coherent networks that serve the role of integrating the different sources of information needed for understanding the linguistic input. To further explore the functional role of oscillatory synchrony during language processing, we quantified event-related EEG power changes induced by the presentation of open-class (OC) words and closed-class (CC) words in a wide range of frequencies (from 1 to 30 Hz), while subjects read a short story. Word presentation induced three oscillatory components: a theta power increase (47 Hz), an alpha power decrease (10 12 Hz), and a beta power decrease (1621 Hz). Whereas the alpha and beta responses showed mainly quantitative differences between the two word classes, the theta responses showed qualitative differences between OC words and CC words: A theta power increase was found over left temporal areas for OC words, but not for CC words. The left temporal theta increase may index the activation of a network involved in retrieving the lexical semantic properties of the OC items.
Lower Extremity Injuries of Volleyball Players During Moving Spike Landing

Volleyball games worldwide have developed into aggressive volleyball games involving various types of attacking techniques. Among the various attacking techniques, the moving spike is most likely to cause body imbalance. When volleyball players perform a moving spike, to acquire more time and space when hitting the ball, they typically change their attack angle, timing, and position continually. Previous studies on run-up and landing have typically focused on vertical or forward landing. However, in actual sports scenarios, the directions of an attack landing may vary according to situations. To clarify the various sports injuries of volleyball players may sustain from landing after performing a moving spike, 10 male open level volleyball players were recruited from universities to perform 72-cm moving spike landing maneuvers. In the experiment, 11 digital motion cameras were used for 3D image capture, reflective markers were applied to track the locations of the body joints, and two AMTI 3D force plates were used to collect ground reaction force generated by the landing. The results revealed that the participant with the highest risk of sustaining a cruciate ligament tear was 172-cm tall and weighed 63 kg. The negative tibial shear force and horizontal reaction force generated from performing a moving spike were deduced to cause collateral ligament injuries to the participants who had played volleyball for 9–10 yrs. Therefore, we deduced that when volleyball players continually perform moving spike landing maneuvers without appropriate cushioning maneuvers and gear protection during training or competition, their collateral ligaments may develop chronic tendinitis.
Breeding Behavior of the Green-Rumped Parrotlet

ABsTRAcr. -We studied the breeding behavior of Green-rumped Parrotlets (Forpus passerinus) using nest boxes in the Ilanos of Venezuela. Aggressive and courtship displays, and nest prospecting behavior are described. Females occupied nest boxes for about 80% of daylight hours from shortly before egg laying through hatching (30-40 days), and did all incubating and brooding. Males spent nearly 80% of the time away from the nest, presumably foraging for their mates and chicks. Clutch sizes of females were correlated positively with the rate at which they were fed by males during egg laying. Clutches hatched asynchronously, and nestling growth and development was slow. Females stopped brooding when oldest chicks were one to two weeks of age to join their mates in feeding young, though the youngest chicks were at most a few days old. Food delivery rates by parents to young were related positively to brood size after all eggs had hatched. Most pairs (91 %) remained mated throughout the breeding season. Mate replacement between years was more common (? 31%). More than half of the females that nested in the first part of the breeding season attempted second nests. Intervals between nesting attempts (x = 22 days) were correlated positively with the number of young fledging from first nests. Over three-quarters of the pairs that remained together and renested used the same nest box, even though intruders constantly attempted to obtain nest sites. Results are discussed in relation to the division of parental care and the high degree of pair cohesion exhibited by parrots. Received 9 April 1991, accepted 1 Oct. 1991.
A novel proline‐rich motif present in ActA of Listeria monocytogenes and cytoskeletal proteins is the ligand for the EVH1 domain, a protein module present in the Ena/VASP family

The ActA protein of the intracellular pathogen Listeria monocytogenes induces a dramatic reorganization of the actin‐based cytoskeleton. Two profilin binding proteins, VASP and Mena, are the only cellular proteins known so far to bind directly to ActA. This interaction is mediated by a conserved module, the EVH1 domain. We identify E/DFPPPPXD/E, a motif repeated 4‐fold within the primary sequence of ActA, as the core of the consensus ligand for EVH1 domains. This motif is also present and functional in at least two cellular proteins, zyxin and vinculin, which are in this respect major eukaryotic analogs of ActA. The functional importance of the novel protein–protein interaction was examined in the Listeria system. Removal of EVH1 binding sites on ActA reduces bacterial motility and strongly attenuates Listeria virulence. Taken together we demonstrate that ActA–EVH1 binding is a paradigm for a novel class of eukaryotic protein–protein interactions involving a proline‐rich ligand that is clearly different from those described for SH3 and WW/WWP domains. This class of interactions appears to be of general importance for processes dependent on rapid actin remodeling.
Molecular Imaging of Metastatic Potential

If molecular imaging is to prove clinically useful it will have to surpass current, primarily anatomic techniques in terms of sensitivity and the ability to detect minimal changes in tissue. One of the most important tests for molecular imaging is to determine whether it can image the metastatic potential of tumors. Like all predictive endeavors, the imaging of such “potential” is a daunting task, but one that only molecular imaging—rather than standard, anatomic techniques—is likely to solve. Although difficult, imaging of metastatic potential is also arguably the most important task for molecular imaging of cancer because it is generally the dissemination of malignant tissue, not its prolonged residence in an inopportune site, which kills the patient. Below are examples of uses of molecular imaging of metastases as well as of metastatic potential, the former being a far more developed area of clinical inquiry.
Functional Debugging of Equation-Based Languages

State-of-the-art debugging techniques for equation-based languages follow a low-level approach to interface users with the complex interactions between equations and algorithms that describe cyber-physical processes. Although these techniques are useful for understanding the low-level behaviors, they do not provide the means for creating a system-level understanding that is often necessary during the early concept product design phase. In this paper, we present a novel debugging technique for equation-based languages based on a high-level approach to facilitate the system-level understanding of complex cyber-physical processes. Our debugging interface is based on functional models that describe what the system does in a formal language that uses natural language elements to improve inter-disciplinary communication. Our novel technique, referred to as functional debugging, can be used in the context of the current systems engineering industrial practice in order to identify system-level problems and explore design alternatives during the early concept design phase. We present a working implementation of our functional debugger and we discuss the benefits of our approach using an automotive use-case.
Evaluating the Teaching of Project Management Tools through a Series of Case Studies

Project management (PM) tools are mandatory to properly manage software projects. The usage of these tools is an important competence for professionals in the computer area, and its teaching is addressed in superior computer courses. In this context, general usage tools are usually adopted, such as MS-Project, but the lack of educational features of in these tools has motivated the development of several educational PM tools. However, previous studies have shown that these tools still do not cover the whole PM process, as defined by PMBOK. As a result, this study aims at presenting an instructional unit to assist in the teaching of functionalities that support an extensive part of this process, covering the initiating and planning processes groups for all knowledge areas. It adopts an open-source and educational PM tool â dotProject+, and other instructional materials. The instructional unit was applied in several case studies in undergraduate computer courses. Its results demonstrated students were able to learn how to use the PM tool to carry out that part of PM process, and teachers state students learning was facilitated by the instructional materials adoption.
Quantitative EEG Markers in Mild Cognitive Impairment: Degenerative versus Vascular Brain Impairment

We evaluated the relationship between brain rhythmicity and both the cerebrovascular damage (CVD) and amygdalohippocampal complex (AHC) atrophy, as revealed by scalp electroencephalography (EEG) in a cohort of subjects with mild cognitive impairment (MCI). All MCI subjects underwent EEG recording and magnetic resonance imaging. EEGs were recorded at rest. Relative power was separately computed for delta, theta, alpha1, alpha2, and alpha3 frequency bands. In the spectral band power the severity of CVD was associated with increased delta power and decreased alpha2 power. No association of vascular damage was observed with alpha3 power. Moreover, the theta/alpha1 ratio could be a reliable index for the estimation of the individual extent of CV damage. On the other side, the group with moderate hippocampal atrophy showed the highest increase of alpha2 and alpha3 power. Moreover, when the amygdalar and hippocampal volumes are separately considered, within amygdalohippocampal complex (AHC), the increase of theta/gamma ratio is best associated with amygdalar atrophy whereas alpha3/alpha2 ratio is best associated with hippocampal atrophy. CVD and AHC damages are associated with specific EEG markers. So far, these EEG markers could have a prospective value in differential diagnosis between vascular and degenerative MCI.
Hidden Symmetry Subgroup Problems

We advocate a new approach for addressing hidden structure problems and finding efficient quantum algorithms. We introduce and investigate the hidden symmetry subgroup problem (HSSP), which is a generalization of the well-studied hidden subgroup problem (HSP). Given a group acting on a set and an oracle whose level sets define a partition of the set, the task is to recover the subgroup of symmetries of this partition inside the group. The HSSP provides a unifying framework that, besides the HSP, encompasses a wide range of algebraic oracle problems, including quadratic hidden polynomial problems. While the HSSP can have provably exponential quantum query complexity, we obtain efficient quantum algorithms for various interesting cases. To achieve this, we present a general method for reducing the HSSP to the HSP, which works efficiently in several cases related to symmetries of polynomials. The HSSP therefore connects in a rather surprising way certain hidden polynomial problems with the HSP. Using this co.
A lattice-theoretic framework for circular assume-guarantee reasoning

We develop an abstract lattice-theoretic framework within which we study soundness and other properties of circular assume-guarantee (A-G) rules constrained by side conditions. We identify a particular side condition, non-blockingness, which admits an intelligible inductive proof of the soundness of circular A-G reasoning. Besides, conditional circular rules based on non-blockingness turn out to be complete in various senses and stronger than a large class of sound conditional A-G rules. In this respect, our framework enlightens the foundations of circular A-G reasoning. Due to its abstractness, the framework can be instantiated to many concrete settings. We show several known circular A-G rules for compositional verification to be instances of our generic rules. Thus, we do the circularity-breaking inductive argument once to establish soundness of our generic rules, which then implies soundness of all the instances without resorting to technically complicated circularity-breaking arguments for each single rule. In this respect, our framework unifies many approaches to circular A-G reasoning and provides a starting point for the systematic development of new circular A-G rules.