Miracle-dz/UniFAR-FTUs huggingface dataset:
Extractive text summarization using Fuzzy-c-means clustering

Keeping track of the precise information from a large volume of text is an arduous task for human. Test summarization process has become one of the significant research areas for years owing to cope up with the astounding increase of virtual textual material. Text summarization is the process to keep the relevant important information of the original text in a shorter version with the main ideas of the original text for understanding innumerable volumes of information easily within a short period of time. There are two main classifications of text summarization process, Extractive and Abstractive text summarization. Extractive summarization processes by using most important fragments of exiting words, phrases or sentences from the original document. It largely depends on sentence-extraction techniques or sentence-based model. A sentence based model using Fuzzy C-Means clustering has been proposed this research. Six key features including a new feature have been added for the sentence scoring. Performance of the proposed FCM model is evaluated by ROUGE, which has been gauged with the precision, recall and f-measure.The result shows that this FCM model interprets extractive text summarization methods with a less summary redundancy and depth of information and also it shows more adhering and coherent than other previous approaches.
MDCT pulmonary angiography evaluation of pulmonary embolism in children.

OBJECTIVE The purpose of our study was to determine the prevalence and anatomic distribution of pulmonary embolism (PE) in a group of consecutive pediatric patients with clinically suspected PE using MDCT pulmonary angiography (pulmonary CTA). MATERIALS AND METHODS We used our hospital information system to retrospectively identify all consecutive pediatric patients (< 18 years of age) with clinically suspected PE who underwent pulmonary CTA from July 2004 to August 2007. Two experienced pediatric radiologists retrospectively reviewed by consensus a series of 98 consecutive pulmonary CTA studies. Each examination was reviewed for the ability to visualize pulmonary arteries and the presence of PE. For positive cases, the level of involvement was classified as central, lobar, segmental, or subsegmental. Lobar location was also recorded using standard nomenclature. Pulmonary CTA results were compared with the results of lower extremity ultrasound studies in the subset of patients who underwent both procedures. RESULTS The study population consisted of 84 children who underwent a total of 98 pulmonary CTA studies. All pulmonary CTA studies were technically successful in visualizing arteries to the level of segmental pulmonary arteries, but the evaluation of subsegmental pulmonary arteries was limited in 78 (80%) examinations. Thirteen (15.5%) of 84 children were found to have PE on pulmonary CTA. PE was localized in the lobar pulmonary artery in 12 (39%), the segmental pulmonary artery in 11 (35%), the subsegmental pulmonary artery in five (16%), and the main or central pulmonary artery in three (10%) patients. PE was distributed in the right lower lobe in 12 (37%), the left lower lobe in eight (24%), the right upper lobe in five (15%), the right middle lobe in four (12%), and the left upper lobe in four (12%) patients. Ten of 13 patients with PE underwent lower extremity Doppler ultrasound, of whom one (10%) was positive for deep venous thrombosis. CONCLUSION The prevalence of PE may be more common among pediatric patients than previously reported and has a similar distribution to that in adult patients.
Image classification using spatial relationship matrix based on color spatio-histogram

Efficient and reliable content-based image retrieval and classification techniques are required for the large image databases. Humans perceive images by breaking the scenes into regions and objects. We, therefore, present a novel approach for extracting color and spatial relationships among image regions. For this, we propose a color spatio-histogram and a bin image which express not only the color distribution but also the spatial information of an image. The system constructs a spatial relationship matrix (SRM) with representative bin pixels of a bin image in order to classify natural images, which define prototypical color and spatial relationships of image regions recurred throughout the image collection. Experiment results show that our scheme performs well for image classification.
Static and infalling quasilocal energy of charged and naked black holes

We extend the quasilocal formalism of Brown and York to include electromagnetic and dilaton fields and also allow for spatial boundaries that are not orthogonal to the foliation of the spacetime. The extension allows us to study the quasilocal energy measured by observers who are moving around in a spacetime. We show that the quasilocal energy transforms with respect to boosts by Lorentz-type transformation laws. The resulting formalism can be used to study spacetimes containing electric or magnetic charge but not both, a restriction inherent in the formalism. The gauge dependence of the quasilocal energy is discussed. We use the thin shell formalism of Israel to reinterpret the quasilocal energy from an operational point of view and examine the implications for the recently proposed AdS/CFT inspired intrinsic reference terms. The distribution of energy around Reissner-Nordstr\"{o}m and naked black holes is investigated as measured by both static and infalling observers. We see that this proposed distribution matches a Newtonian intuition in the appropriate limit. Finally the study of naked black holes reveals an alternate characterization of this class of spacetimes in terms of the quasilocal energies.
Duality twists, orbifolds, and fluxes

We investigate compactifications with duality twists and their relation to orbifolds and compactifications with fluxes. Inequivalent compactifications are classified by conjugacy classes of the U-duality group and result in gauged supergravities in lower dimensions with nontrivial Scherk-Schwarz potentials on the moduli space. For certain twists, this mechanism is equivalent to introducing internal fluxes but is more general and can be used to stabilize some of the moduli. We show that the potential has stable minima with zero energy precisely at the fixed points of the twist group. In string theory, when the twist belongs to the T-duality group, the theory at the minimum has an exact CFT description as an orbifold. We also discuss more general twists by nonperturbative U-duality transformations.
Research on autocorrelation and cross-correlation analyses in vehicular nodes positioning

In recent years, the massive increase in car ownership has led to a dramatic increase of traffic accidents, especially in the case of multi-vehicle chain collisions. However, most researches of collision warning systems are focused on the single vehicle collision warning, because it is hard to get the accurate distance and location of the non-line of sight vehicle with the traditional ultrasonic or laser ranging methods. Nowadays, many intelligent transportation systems are based on global navigation satellite systems with the positioning accuracy of more than 10 m even in ideal environments. At the same time, global navigation satellite system often fails to operate in non-line of sight areas, such as forests, tunnels, or downtown. IEEE 802.11p is developed for vehicle-to-vehicle (V2V) communication in order to meet the requirement for high accuracy in high speed and multipath vehicle environments. In this article, we proposed an efficient time of arrival or ranging estimation method using IEEE 802.11p short preamble in order to mitigate the effect of multipath and low signal noise ratio. First, the time of arrival estimation is performed using autocorrelation and cross-correlation (auto-cross). And then, the approach to iterative update is presented to find the accurate time offset. Simulation results, in the international telecommunication union vehicle A channel and an additive white Gaussian noise channel, indicate that the proposed ranging method achieves superior accuracy over the traditional methods even in low signal noise ratio conditions and multipath environments.
A 14-band Frequency Synthesizer for MB-OFDM UWB Application

A 14-band frequency synthesizer for UWB application is realized in a 0.18 mum CMOS process. It uses two PLLs and three mixers. The unwanted spurs due to frequency mixing are at least 35dB lower than the output carriers by using a quadrature divide-by-3 circuit and a 2-stage single-sideband mixer. The core circuit area is 1.5 mm2 and the power consumption is 160mW
Extensive Review of SQLIA's Detection and Prevention Techniques

Security of web applications is becoming one of the major concerns today. As per our survey 70% of web applications over the internet are vulnerable to SQL injection attacks (SQLIA's). SQL injection attacks pose serious security threat to these databases and web applications. Through SQLIA's attackers gain unrestricted access to the databases of applications and potentially sensitive information. Many methods to address this problem have been proposed in the literature, some having the scope for extension. Methods employ only a subset of the prevention and detection techniques. An extensive survey was done to review and uncover these issues. The paper strongly focuses on the review work of SQL injection attacks and their detection and prevention approaches known to date. This paper elaborates the survey done for 30 techniques and the attacks they can withstand. An in depth study of the techniques and their performance against SQLIA's is focused in the paper. Also for each strategy its strengths and weaknesses are addressed along with comparative analysis.
NS5ATP9 Contributes to Inhibition of Cell Proliferation by Hepatitis C Virus (HCV) Nonstructural Protein 5A (NS5A) via MEK/Extracellular Signal Regulated Kinase (ERK) Pathway

Hepatitis C virus (HCV) nonstructural protein 5A (NS5A) is a remarkable protein as it clearly plays multiple roles in mediating viral replication, host-cell interactions and viral pathogenesis. However, on the impact of cell growth, there have been different study results. NS5ATP9, also known as KIAA0101, p15PAF, L5, and OEACT-1, was first identified as a proliferating cell nuclear antigen-binding protein. Earlier studies have shown that NS5ATP9 might play an important role in HCV infection. The aim of this study is to investigate the function of NS5ATP9 on hepatocellular carcinoma (HCC) cell lines proliferation under HCV NS5A expression. The results showed that overexpression of NS5ATP9 inhibited the proliferation of Bel7402 cells, whereas knockdown of NS5ATP9 by interfering RNA promoted the growth of HepG2 cells. Under HCV NS5A expression, RNA interference (RNAi) targeting of NS5ATP9 could reverse the inhibition of HepG2 cell proliferation, suggesting that NS5ATP9 might be an anti-proliferation gene that plays an important role in the suppression of cell growth mediated by HCV NS5A via MEK/ERK signaling pathway. These findings might provide new insights into HCV NS5A and NS5ATP9.
Cooperative memory management

Providing a cooperative memory management, in particular, it provides a corresponding method of memory card system and a collaborative memory management cooperation between the host and the memory card device, said cooperation memory card system comprising: the memory card device; and host, with the memory card in signal communication means, wherein the host memory card device to assume at least one memory management function; the method comprising selecting the corresponding number of memory management features at least one alternate host device performs reason.
Enhanced oral delivery of risperidone through a novel self-nanoemulsifying powder (SNEP) formulations: in-vitro and ex-vivo assessment

Abstract Context: The oral delivery of risperidone encounters a number of problems, such as pH dependent solubility and low bioavailability, due to its lipophilicity and aqueous insolubility. Objective: To improve the solubility, dissolution and intestinal permeation thereby bioavailability of risperidone through a novel self-nanoemulsifying powder (SNEP) formulations. Materials and methods: Oleic acid, Tween® 20, PEG 600 and Aerosil® 200 were chosen as oil, surfactant, co-surfactant and carrier, respectively from solubility and emulsification studies. Ternary phase diagram was constructed to determine emulsifying region. Results and discussion: The Z-average and polydispersity Index of developed formulation was 83.1 nm and 0.306, respectively. Ex vivo permeation studies on isolated rat intestine indicated that the amount of risperidone permeated from SNEP formulation was increased around 4- and 1.8-fold than that of pure drug and marketed formulation, respectively. Conclusion: This developed SNEP formulations can be regarded as novel and commercially feasible alternative to the current risperidone formulations.
Development and Validation of a Tool to Improve Physician Identification of Elder Abuse: The Elder Abuse Suspicion Index (EASI)©

ABSTRACT This study aimed to develop and validate a brief tool for physician use to improve suspicion about the presence or absence of elder abuse. A literature review on elder abuse, obstacles to its identification, limitations of detection tools, and characteristics of screeners employed by physicians were used to generate elder abuse detection questions for critique by 31 doctors, nurses, and social workers in focus groups. Six resulting questions became the Elder Abuse Suspicion Index (EASI) administered by 104 family doctors to 953 cognitively intact seniors in ambulatory-care settings. Findings were compared to a recognized, detailed elder abuse Social Work Evaluation (SWE) later administered to participants by social workers blinded to the results of the EASI. The EASI had an estimated sensitivity and specificity of 0.47 and 0.75, usually took less than 2 minutes to ask, and 97.2% of doctors felt it would have some or big practice impact. This research is a first phase in the development and validation of a user-friendly tool that might sensitize physicians to elder abuse and promote referrals of possible victims for in-depth assessment by specialized professionals.
Effects of glycogen depletion on ischemic injury in isolated rat hearts: insights into preconditioning.

Limitation of myocardial injury and infarction has been demonstrated by interventions such as ischemic preconditioning or the use of pyruvate as a substrate, which reduces glycogen content before, and acidosis during, ischemia. An isolated perfused rat heart model of global ischemia was employed to test the hypothesis that glycogen depletion reduces ischemic injury as measured by creatine kinase release. 31P-nuclear magnetic resonance spectroscopy was used to measure high-energy phosphates (ATP and phosphocreatine), phosphomonoesters (PME), and intracellular pH. Compared with control glucose-perfused hearts with normal glycogen content (1.49 +/- 0.13 mg Glc/g wet wt), glycogen-depleted pyruvate, ischemic preconditioned, and glycogen-depleted glucose hearts all had reduced glycogen content before ischemia (0.62 +/- 0.16, 0.81 +/- 0.10, and 0.67 +/- 0.12 mg Glc/g wet wt, respectively; P = 0.003) and significantly higher pH at the end of ischemia (5.85 +/- 0.02, 6.33 +/- 0.06, 6.24 +/- 0.04, and 6.12 +/- 0.02 in control, glycogen-depleted pyruvate, preconditioned, and glycogen-depleted glucose-perfused hearts, respectively; P < 0.01), although acidification during the initial phase of ischemia was differentially affected by the three interventions. Glycogen-depleted pyruvate and preconditioned hearts had reduced PME accumulation, greater recovery of function and phosphocreatine, and lower creatine kinase release on reperfusion, whereas glycogen-depleted glucose-perfused hearts were similar to control hearts. In summary, glycogen depletion by these three methods limits the fall in pH during global ischemia, although glycogen depletion in the absence of preconditioning does not limit ischemic injury. (ABSTRACT TRUNCATED AT 250 WORDS)
New Approach to Reduce the Data Loss in Privacy Preserving Data Analysis

Recent advances in information and communication technologies shows that privacy is one of the important concept regarding the data sharing, maintaining the data confidentiality and data loss issues. This paper mainly focus on data loss issues and overcome some of the problems exist in pervious system of privacy preserving such as role base accessibility, high time complexity and privacy breaching issue. This uses different techniques such as slicing which is combined with C constraint. This will reduce the data loss and provide more privacy to the data. Here considered a health care system as a framework. SQL injection and Aho-Chorasick algorithm is used for database security.
De novo sequencing with Limited Number of Post-Translational Modifications per peptide

De novo sequencing derives the peptide sequence from a tandem mass spectrum without the assistance of protein databases. This analysis has been indispensable for the identification of novel or modified peptides in a biological sample. Currently, the speed of de novo sequencing algorithms is not heavily affected by the number of post-translational modification (PTM) types in consideration. However, the accuracy of the algorithms can be degraded due to the increased search space. Most peptides in a proteomics research contain only a small number of PTMs per peptide, yet the types of PTMs can come from a large number of choices. Therefore, it is desirable to include a large number of PTM types in a de novo sequencing algorithm, yet to limit the number of PTM occurrences in each peptide to increase the accuracy. In this paper, we present an efficient de novo sequencing algorithm, DeNovoPTM, for such a purpose. The implemented software is downloadable from http://www.cs. uwaterloo.ca/~l22he/denovo_ptm .
Inmunopatología del dengue: importancia y participación de los monocitos y sus subpoblaciones

El dengue es una infección viral aguda transmitida por la picadura de mosquitos del género Aedes, la cual produce hasta 100 millones de infecciones anuales en el mundo. Una gran proporción de individuos infectados con el virus presentan infecciones asintomáticas. Sin embargo, de los individuos que desarrollan la enfermedad, el 95 % presentan signos y síntomas similares a una virosis común, que por lo general se autoresuelven (dengue con y sin signos de alarma). El 5 % restante puede evolucionar a manifestaciones graves, caracterizadas por hemorragias, daño orgánico, choque hipovolémico e incluso la muerte (dengue grave). Los monocitos son uno de los blancos principales de la infección producida por el virus del dengue (DENV), los cuales participan en la replicación del mismo y en la producción de una gran variedad de citoquinas que contribuyen con el daño de diferentes tejidos y órganos en respuesta a la infección. Los monocitos se dividen en tres subpoblaciones: clásica (CD14++CD16-), no clásica (CD14+CD16++) e intermedia (CD14++CD16+), las cuales poseen respuestas funcionales contrastantes en diferentes procesos inflamatorios, en cuanto a la producción de mediadores solubles e interacción con el endotelio. Los monocitos no clásicos parecen ser los principales productores de mediadores inflamatorios como el TNF-α y la IL-1β en respuesta a la infección por DENV. Por lo tanto, se propone que cada subpoblación de monocitos debe tener un papel diferencial en la inmunopatología de la enfermedad.En esta revisión se recopilan los principales aspectos de la replicación viral y la inmunopatología del dengue, así como los principales hallazgos referentes al papel de los monocitos en esta infección y además, se propone un papel potencial y diferencial de las subpoblaciones de monocitos.
Persitan Sol Superior Vena Cava Anomalisinde Geçici Diyaliz Katateri Yerleştirilmesi

Uc yildir hemodiyalize giren 44 yasinda kadin hastanin fistul yerinde agri sikâyeti olmasi uzerine fistul yeri yuzeysel ultrasonografi ile kontrol edildi. Renkli doppler ile fistul yerinde akim olmadigi saptandi. Hastanin gecici diyaliz kateteri ile diyalize girmesine karar verildi. Sol juguler venden kateter ilerletildi. Kontrol telekardiyografisinde kateter mal pozisyonu oldugu saptandi. Negatif basinc ile venoz vasifta kan geldigi gozlendi. Kateterin yerinin kontrolu icin yapilan anjiyografide, kateterin persistan sol superiyor vena kava araciligi ile koroner sinuse ulastigi gozlendi.
INSTRUCTIONAL DESIGN AND ASSESSMENT An Instructional Model for a Nonprescription Therapeutics Course

Objectives. To design and implement curricular modifications to a nonprescription therapeutics course to better meet course objectives. Design. Improvements included the addition of journaling, mastery grading, case studies, verbal examinations, educational mentors, and encouraging classroom participation. Assessment. Student course evaluations and grades were used to assess the impact of the pedagogical modifications. Course grades indicated that students succeeded in learning at the set mastery level of 80%. Course evaluations indicated students responded positively to the course modifications. Conclusion. Ongoing curricular modifications ultimately resulted in a course that met established course objectives.
International Conference on Electrical Engineering ICEENG 2018 Implementation of Sparsity-Based Unsupervised Unmixing of Hyperspectral Imaging Data using Coiflet

Unsupervised spectral unmixing is one of the most important processing tasks performed on hyperspectral imaging data. It is a blind source separation problem where every spectral pixel in the hyperspectral data cube is separated into a set of pure spectra, i.e., endmembers, without any prior knowledge about them. This problem could be solved sparsely using the basis pursuit optimization problem which is a well-known technique used for sparse source recovery. The basis pursuit considers the endmembers sparse in a basis known as dictionary. The contribution of this paper is the fast implementation of the basis pursuit unmixing algorithm due to using the Coiflet orthogonal dictionary. Using Coiflet orthogonal dictionary results in sparser spectral pixels which lead to fast computation by reducing the iterations of the basis pursuit unmixing algorithm. The basis pursuit unmixing algorithm using Coiflet was applied to a synthetic data cube acquired from few materials selected from the given ASTER spectral library.
Energy-Efficient and Power-Constrained Techniques for Exascale Computing Area Exam Position Paper

The future of computing will be driven by constraints on power consumption. Achieving an exaflop will be limited to no more than 20 MW of power, forcing co-design innovations in both hardware and software to improve overall efficiency. On the hardware side, processor designs are shifting to many-core architectures to increase the ratio of computational power to power consumption. Research and development efforts of other hardware components, such as the memory and interconnect, further enhance energy efficiency and overall reliability. On the software side, simulation codes and parallel programming models will need modifications to adapt to the increased concurrency and other new features of future architectures. Developing power-aware runtime systems is key to fully utilizing the limited resources. In this paper, we survey the current research in energy-efficient and power-constrained techniques in software, then present an analysis of these techniques as they apply to a specific high-performance computing use case. Keywords— High-performance computing, HPC, dynamic voltage and frequency scaling, dynamic voltage scaling, dynamic concurrency throttling, DVFS, DVS, DCT, energy-efficient, power-efficient, poweraware, power-constrained