Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of four-versus six-pedicle screw without fusion for thoracolumbar mono-segment compression fracture : removal implants more than 1 year

Study Design: A retrospective study: Background context: Few articles studied on thoracolumbar compression fracture (TCF). In this prospective study, we observed clinical and radiographic outcomes of TCF by two surgical methods more than 1 year after removing instrument. Purpose: To evaluate the clinical efficacy of 4-(SS) and 6-pedicle screw (3 fixation) in treatment of thoracolumbar compression fracture (TCF). Methods: 61 consecutive patients with TCF were included in our study. Group A including 13 males and 16 females were treated by SS (bilateral pedicle screws 1 level superior and inferior to the injured vertebrae), Group B including 16 men and 16 women underwent 3 fixation (bilateral pedicle screws 1 level superior and inferior to the injured vertebrae and the injured vertebrae). Clinical and radiographic parameters were evaluated pre-implant (T1), post-implant (T2), remove implant (T3) (1 year after implanting instrument) and final follow-up (T4). Result: As a result, measurement of anterior vertebral body height compression rate T2 and T3 showed that 3 fixation had better result (P=0.046, P=0.003). But, considering middle vertebral body height compression rate T2 and T3, SS was better (P=0.047, P=0.044). However, another data, including posterior vertebral body height compression rate, intervertebral disc signal intensity, ODI score and VAS score were the same between two groups (P>0.05). Conclusion: In conclusion, the radiographic parameters implied that 3 fixation was a effective management of thoracolumbar compression fracture in improving and maintaining anterior vertebral body height. However, regarding the middle vertebral body height, SS was better. But the efficacy of both was the same in a long term.
Prediction Method for Hydraulic Conductivity considering the Effect of Sizes of Ellipsoid Soil Particles from the Microscopic Perspective

In the existing research studies of hydraulic conductivity, most of them assume that soil consists of spheroidal particles and the value of hydraulic conductivity can be designated by the particle size. In the actual soil layers, the shape of soil particles is mostly ellipsoid or rod-like rather than ideal sphere. Therefore, the prediction of soil permeability using current method often deviates from the actual situation and cannot capture the anisotropy nature of soil without consideration of the effect of the axis size of soil particles in two different directions. To solve this problem, a new theoretical model with three different soil particle arrangements is introduced to derive a new hydraulic conductivity-particle size relationship considering the size difference in two directions. This model, from a microscopic perspective, divides pores into numerous pore units and obtains hydraulic conductivity of each tube unit, eventually predicting the permeability of soil layer based on an equivalence principle. The proposed equation is validated in comparison with experimental data from the existing literature and is proved to have a satisfied accuracy to predict hydraulic conductivity for a wide range of soils, from bentonite-silt mixed soils to sandy soils. The proposed model provides a new perspective for accurately predicting the hydraulic conductivity.
AGERATUM CONYZOIDES L . : A PLANT WITH PROMISING ANTILITHIC ACTIVITY

Ageratum conyzoides L. has been used to treat various diseases including urinary stone diseases, since ancient time in India. The inhibition of in-vitro calcium-oxalate crystal formation by its extract was also investigated by two different nucleation assays. In these assays, the aim was to evaluate the effectiveness of different concentrations of the extract on calcium oxalate crystallization in-vitro. In both the assay % inhibition for calcium oxalate crystal formation was found directly proportional to the increase in concentration of the plant extract with maximum inhibition of 55.36% at 1000 mg/ml concentration (Atmani et al. assay). Thus Ageratum conyzoides L. was found to be a potent and promising antiurolithiatic agent, which is in accordance with its use in traditional medicine.
Bibliometrical Analysis of Sinicization of Marxism after the Reform and Opening-Up : In view of Politics , Philosophy and Political Economy

Sinicization of Marxism is one of the most important thematic focuses for Chinese social science researchers. Sampling relevant literature from CNKI database since Reform and Opening Up, this paper employs text mining and bibliometric analysis to generalize the evolutionary characteristics and transitional logics of researches on Sinicization of Marxism. Based on delineation and comparison of four temporal stages in Marxism Sinicization study, this paper synthesizes two major transitional logics including, namely, disciplinary paradigm change and research field change. The transitional logics can be interpreted through “discipline structuralization-guided”mechanism and “practice development-driven”mechanism. For future studies on Sinicization of Marxism, theoretical innovation based on socialism practice with Chinese characteristics will become a critical issue and concern for the future of studies on Sinicization of Marxism.
SUBCLINICAL AND CLINICAL KETOSIS IN SHEEP – RELATIONSHIPS BETWEEN BODY CONDITION SCORES AND BLOOD β- HYDROXYBUTYRATE AND NON-ESTERIFIED FATTY ACIDS CONCENTRATIONS

The study included a total of 136 sheep from two breeds (Lacaune and Mouton Charollais) to establish changes in the values of body condition score (BCS), β-hydroxybutyrate (ВНВА) and non-esterified fatty acids (NEFA) in their blood and their relationship in the development of subclinical (SCK) and clinical (CK) ketosis. The ewes were divided in three groups (pregnant, recently lambed and lactating). Blood concentrations of ВНВА and NEFA were assayed in all ewes. The body condition was scored. Blood ВНВА concentrations were increased in Lacaune sheep from the three groups affected by SCK vs control levels, as well as in animals with CK from all groups vs both controls and SCK. None of Mouton Charollais ewes had blood BHBA concentrations >0.8 mmol/l. The evaluation of BCS of ewes with SCK and CK showed a trend of decrease compared to the control groups. The quantities of NEFA in sheep of the three groups with SCK were statistically significantly elevated vs control groups, while in sheep with CK decreased, vs both controls and SCK. In meat-type Mouton Charollais ewes, values of NEFA ranged around the reference.
Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events

Pre-scheduled events, such as TV shows and sports games, usually garner considerable attention from the public. Twitter captures large volumes of discussions and messages related to these events, in real-time. Twitter streams related to pre-scheduled events are characterized by the following: (1) spikes in the volume of published tweets reflect the highlights of the event and (2) some of the published tweets make reference to the characters involved in the event, in the context in which they are currently portrayed in a subevent. In this paper, we take advantage of these characteristics to identify the highlights of pre-scheduled events from tweet streams and we demonstrate a method to summarize these highlights. We evaluate our algorithm on tweets collected around 2 episodes of a popular TV show, Game of Thrones, Season 7.
Noise exposure could increase the mortality of coronary heart disease : evidence from a meta-analysis

Purpose: Quantification of the association between noise exposure and risk of coronary heart disease (CHD) mortality is still conflicting. Thus, we conducted a meta-analysis summarizing the evidence from epidemiological studies to assess the association between them. Methods: Pertinent studies were identified by a search of PubMed and Web of Knowledge up to October 2015. The random effect model was used. Sensitivity analysis, subgroup analyses and publication bias were conducted. Results: Eight studies (6 cohort studies and 2 case-control studies) involving 23,749 CHD deaths were used in this meta-analysis. Pooled results suggested that highest noise exposure level versus lowest level was significantly associated with the increased risk of CHD deaths [summary RR=1.21, 95% CI=1.05-1.40, I2=37.5%], especially in European populations [summary RR=1.14, 95% CI=1.011. 30]. The associations were also found in the cohort studies and in the subgroup analysis of the method to assess noise by modeling. Conclusions: Our analysis suggested that highest levels of noise exposure might increase the risk of CHD deaths, especially in European populations. As most of the current studies were from the Europe, additional studies are needed from other geographic locations and any further studies should adjust for more confounding factors.
Learning Dynamics in Monetary Policy : The Robustness of an Aggressive Price Stabilizing Policy

This paper investigates the effect of an aggressive inflation stabilizing monetary policy on the ability of agents to reach a rational expectations equilibrium for inflation and output. Using an adaptive learning framework, we develop a model that combines a real wage contracting rigidity with an interest rate rule. We show that an AR(1) equilibrium requires more aggressive monetary policy to achieve both determinacy and learnability. This model and policy findings contrast with Bullard and Mitra’s [Determinacy, learnability and monetary policy inertia (2001); Journal of Monetary Economics49 (2002) 1105] model (no inflation persistence) and policy findings (less aggressive policy). These results suggest that aggressive policy is robust in different model specifications. • Previous article
of Numerical Methods for Heat & Fluid Flow Analysis of unsteady mixed convection in lid-driven cavity included circular cylinders motion using an incompressible smoothed particle hydrodynamics method

Purpose – The purpose of this paper is to model mixed convection in a square cavity included circular cylinders motion using an incompressible smoothed particle hydrodynamics (ISPH) technique. Design/methodology/approach – The problem is solved numerically by using the ISPH method. Findings – The SPH tool shows robust performance to simulate the rigid body motion in the mixed convective flow with heat transfer, and it may apply easily to complicated problems in 2D and 3D problem without difficulties. Originality/value – The application of the SPH method to mixed convective flow with heat transfer and its potential application easily to complicated 3D problems is original.
uXOM: Efficient eXecute-Only Memory on ARM Cortex-M

Code disclosure attacks are one of the major threats to a computer system, considering that code often contains security sensitive information, such as intellectual properties (e.g., secret algorithm), sensitive data (e.g., cryptographic keys) and the gadgets for launching code reuse attacks. To stymie this class of attacks, security researchers have devised a strong memory protection mechanism, called eXecute-OnlyMemory (XOM), that defines special memory regions where instruction execution is permitted but data reads and writes are prohibited. Reflecting the value of XOM, many recent high-end processors have added support for XOM in their hardware. Unfortunately, however, low-end embedded processors have yet to provide hardware support for XOM. In this paper, we propose a novel technique, named uXOM, that realizes XOM in a way that is secure and highly optimized to work on Cortex-M, which is a prominent processor series used in low-end embedded devices. uXOM achieves its security and efficiency by using special architectural features in Cortex-M: unprivileged memory instructions and an MPU. We present several challenges in making XOM nonbypassable under strong attackers and introduce our code analysis and instrumentation to solve these challenges. Our evaluation reveals that uXOM successfully realizes XOM in Cortex-M processor with much better efficiency in terms of execution time, code size and energy consumption compared to a software-only XOM implementation for Cortex-M.
Feature Mining for Hyperspectral Image Classification A general overview and analysis of feature reduction methods for classification of hyperspectral images is provided. Experimental results give the performance of selected feature selection and feature extraction approaches.

Hyperspectral sensors record the reflectance from the Earth's surface over the full range of solar wave- lengths with high spectral resolution. The resulting high- dimensional data contain rich information for a wide range of applications. However, for a specific application, not all the measurements are important and useful. The original feature space may not be the most effective space for representing the data. Feature mining, which includes feature generation, fea- ture selection (FS), and feature extraction (FE), is a critical task for hyperspectral data classification. Significant research effort has focused on this issue since hyperspectral data became available in the late 1980s. The feature mining techniques which have been developed include supervised and unsuper- vised, parametric and nonparametric, linear and nonlinear methods, which all seek to identify the informative subspace. This paper provides an overview of both conventional and ad- vanced feature reduction methods, with details on a few techniques that are commonly used for analysis of hyperspec- tral data. A general form that represents several linear and nonlinear FE methods is also presented. Experiments using two widely available hyperspectral data sets are included to illustrate selected FS and FE methods.
HEMATOLOGICAL AND BIOCHEMICAL EFFECTS OF CURCUMIN IN SCHISTOSOMA MANSONI INFESTED MICE

Received at: 22/6/2014 Accepted: 10/9/2014 In order to investigate the effect of curcumin on treatment of Schistosoma mansoni infested mice. Forty, male CD-1 Swiss albino mice used in this experiment, divided equally into 4 groups, the first kept as control, the second supplemented with curcumin, the third infected with S.mansoni and the 4 infected then treated with curcumin. The results emphasized on the presence of anemia leucopenia, neutropenia and esinophilia in infested groups either treated or not with somewhat an improvement in the treated group. The biochemical parameters showed that curcumin tries to restore the increased transaminases, alkaline phosphatase, antioxidants, triglycerides and low density lipoproteins to normal. Finally, curcumin treated group still closer to the infected group more than to the normal control group.
AN ANALYSIS OF THE INTERACTION BETWEEN TWO WHEELS AND A DISCRETELY SUPPORTED RAIL

The paper herein presents an analysis of the interaction between two wheels and a rail (ballasted track) due to the small-scale undulation of the rail rolling surface. To this end, a new model of the periodic support of the rail that improves the prediction of the rail response for both low and high frequencies is used. It is shown the fact that the vibrations of the two wheels are coupled due to the bending waves which travel along the rail between them. However, these waves are strongly attenuated for three particular frequency ranges – the stop zones. When the vibration frequency is out of the stop zones, the wheel/rail contact force has two components – one comes from the wheel it self and other one is given by the influence of the conjugate wheel. In this way, the amplitude of the contact force versus frequency has a succession of peaks and deeps depending on the velocity and wheels base.
Site Partition Enhanced Shape Based Docking and Molecular Dynamics Studies of G-Protein Coupled Receptor Acting Natural Ligands

© 2018 Santhanam Vijayasri and Waheeta Hopper. This is an open access article distributed under the terms of the Creative Commons Attribution License -NonCommercialShareAlikeUnported License (http://creativecommons.org/licenses/by-nc-sa/3.0/). *Corresponding Author Waheeta Hopper, Department of Biotechnology, Faculty of Engineering and Technology, SRM University, Kattankulathur, Chennai 603 203, India. E-mail: srmbioinformaticsresearch @ gmail.com Site Partition Enhanced Shape Based Docking and Molecular Dynamics Studies of G-Protein Coupled Receptor Acting Natural Ligands
A Study of Devising Neural Network Based Indoor Localization Using Beacons : First Results

In the paper, we deal with the problem of indoor localization. There are various technologies that can generate data to be used for indoor localization. We analyze beacons, which are Bluetooth low energy transmitters. They, if installed in a building in a properly devised grid according to their characteristics, can serve as data generators for localization. We designed an artificial neural network that processes data from beacons and produces coordinates that determine the localization. Experiments show that our neural network based indoor localizator achieves accuracy comparable to other known approaches.
Liquefaction Susceptibility of Loose Calcareous Sand of Northern Coast in Egypt

This research studied the liquefaction susceptibility of calcareous sand encountered at the North Coast of Egypt. The study was carried out through a series of cyclic isotropically consolidated undrained triaxial tests, complemented by a suite of physical characterization and index tests. A total of nine (9) cyclic loading tests were conducted on samples prepared at initial relative density of 40%. The variables considered herein included the cyclic stress ratio and initial effective confining stress. The resulting pore-water pressure generation and liquefaction resistance trends for the North Coast calcareous sand were compared to other calcareous and siliceous sands reported in the literature. The test results indicated that the compressible soil skeleton of the North Coast calcareous sand did not result in lower cyclic strength and that the tested sand is less susceptible to liquefaction compared to siliceous sands reported in the literature. This increase in cyclic strength is likely to be the result of the angularity of the calcareous sand particles. Relationship between cyclic resistance ratio and effective confining pressure was developed for the studied relative density. RÉSUMÉ : Dans cette étude, la susceptibilité à la liquéfaction du sable calcaire rencontré à la Côte Nord de l'Égypte a été investiguée. L'étude a été réalisée à partir d’une série d’essais triaxiaux consolidés non drainés cycliques isotrope, en addition à une série de tests de caractérisation physique et des indices. Neuf (9) essais de chargement cycliques ont été effectués sur des échantillons préparés à un indice de densité relative initiale de 40%. Les variables considérées ici comprennent le rapport de la contrainte cyclique et la contrainte initial de confinement. Les pressions interstitielles et la résistance de liquéfaction résultantes du sable calcaire de la Côte Nord ont été comparées à d'autres sables calcaires et siliceux rapportés dans la littérature. Les résultats des tests ont indiqué que le squelette du sol compressible de la Côte Nord du sable calcaire n'a entraîné aucune réduction de la capacité cyclique et que le sable testé est moins susceptible de se liquéfier par rapport aux sables siliceux rapportés dans la littérature. Cette augmentation de la capacité cyclique est susceptible d'être le résultat de l'angularité des grains de sable calcaire. La relation entre le rapport de résistance cyclique et la contrainte effective de confinement a été développée pour l’indice de densité relative étudié.
High incidence of multidrug-resistant Escherichia coli coharboring mcr-1 and blaCTX-M-15 recovered from pigs

Purpose The coexistence of mobile colistin (COL)-resistant gene mcr-1 with extended-spectrum beta-lactamase (ESBL) gene in Escherichia coli has become a serious threat globally. The aim of this study was to investigate the increasing resistance to COL and in particular its coexistence with ESBL-producing E. coli recovered from pig farms in China. Materials and methods E. coli were isolated from 14 pig farms in Jiangsu China. Susceptibility testing was identified by micro-dilution method. PCR assay and nucleotide sequencing were used to detect COL-resistant genes, mcr-1 to −5, as well as ESBL genes, blaCTX-M, blaSHV and blaTEM. Conjugation experiment, plasmid replicon typing of the multidrug resistance (MDR), S1-PFGE and DNA southern hybridization were performed to study the transferability of these genes. Results Overall, 275 E. coli isolates were recovered from a total of 432 cloacal and nasal swabs. More than 90% of the isolates were MDR, of which 70.18% were resistant to COL. Of these 275 isolates, mcr-1 was identified as the most predominant gene carried by 71.63% (197/275) of isolates, 39.59% (78/197) of the isolates were harboring both mcr-1 and ESBL genes (blaCTX-M, blaSHV and blaTEM). ESBL genotyping showed that blaCTX-M was the most predominant ESBL (68.49%) followed by blaSHV (16.4%) and blaTEM (15%). Sequencing revealed that the most common variants of blaCTX-M identified were, blaCTX-M-15 (69%), blaCTX-M-55 (29%) and blaCTX-M-1 (1.8%). IncHI2, IncFIB, IncFIC, IncN and IncX4 were found to be the most common Inc-types found both in donors and in transconjugants and were associated with the transfer of the mcr-1 and ESBL encoding genes. Six strains carried a total of five different plasmids: approximately 97-, 130-, 160-, 227- and 242-kb plasmids. Conclusion The coexistence of the mcr-1- and blaCTX-M-15-carrying isolates displaying high MDR, recovered from E. coli of pig origin, is a major concern for both humans and veterinary medicine.
The Connection Between Online Social Networking and Relationship Conflict

The purpose of this study was to explore the connection between online social networking usage and relationship conflict in the relationships of college students. The participants in this study were 18 college students, mostly African American females. The study is centered on a non-experimental design that used surveys to collect data and measure each of these variables. Several t-tests were conducted to analyze the data and only one finding was significant. This significant finding suggests that frequent online social networking is negatively related to relationship conflict. Unexpectedly, the finding was the opposite of the hypothesis, which expected that frequent online social networking usage would be positively related to frequent relationship conflict. Limitations, implications, and suggestions for future research are also discussed.
A Decision Tree Approach for Predicting Student Grades in Research Project using Weka

Data mining in education is an emerging multidiscipline research field especially with the upsurge of new technologies used in educational systems that led to the storage of massive student data. This study used classification, a data mining process, in evaluating computer engineering student’s data to identify students who need academic counseling in the subject. There were five attributes considered in building the classification model. The decision tree was chosen as the classifier for the model. The accuracy of the decision tree algorithms, Random Tree, RepTree and J48, were compared using cross-validation wherein Random Tree returned the highest accuracy of 75.188%. Waikato Environment for Knowledge Analysis (WEKA) data mining tool was used in generating the classification model. The classification rules extracted from the decision tree was used in the algorithm of the Research Project Grade Predictor application which was developed using Visual C#. The application will help research instructors or advisers to easily identify students who need more attention because they are predicted to have low grades.