Miracle-dz/UniFAR-FTUs huggingface dataset:
Topical fibrin sealant versus intravenous tranexamic acid in reducing blood loss during total joint arthroplasty : a systematic review and meta-analysis

Objective: Intravenous (IV) tranexamic acid (TXA) and topical fibrin sealant (FS) are two common agents that are used to decrease perioperative blood loss during total joint arthroplasty (TJA). However, which method is more effective is still a matter of debate. Thus, a systematic review and meta-analysis was performed to evaluate the efficacy and safety of IV-TXA and topical FS in reducing blood loss in patients who underwent TJA. Method: Relevant literature regarding the use of topical FS and IV-TXA in patients prepared for TJA was searched and collected from Embase, PubMed, the Cochrane Library and the Google database from inception to February 2017. Randomized controlled trials (RCTs) and non-RCTs were included without language restriction. Outcomes included the need for transfusion, total blood loss, hemoglobin drop and the occurrence of deep vein thrombosis (DVT). The random-effects model was utilized due to the different doses of TXA and FS that were administered. The Stata 12.0 software was used for the meta-analysis. Results: Five RCTs and two non-RCTs involving 646 patients (FS=346; and TXA=300) were eligible for data extraction and were thus included in the meta-analysis. Compared with FS, IV-TXA decreased the need for transfusion by 12.4% (relative risk (RR) 2.62, 95% confidence interval (CI) 1.64 to 4.18, P<0.0001). There were no significant differences in the total blood loss (weight mean difference (WMD)=273.30, 95% CI -129.70. 70 to 672.30, P<0.00001); hemoglobin values (WMD -0.77, 95% CI -1.40 to -0.15); and incidence of thromboembolic events (RR 4.00, 95% CI 0.46 to 35.15), fever (RR 0.63, 95% CI 0.21 to 1.85), hematoma (RR 1.03, 95% CI 0.28 to 3.70), and infection (RR 0.46, 95% CI 0.11 to 2.03) between the topical FS group and the IV-TXA group. Conclusion: The present meta-analysis indicated that IV-TXA could be more effective in reducing the number of patients who need transfusions and could improve hemoglobin values. Thromboembolic events occurred with similar frequency in the topical FS and IV-TXA groups. Additionally, IV-TXA is more economical than topical FS.
Dependency-Based Malware Similarity Comparison Method

Malware similarity comparison is one of the basic works in malware analysis and detection. Presently, most similarity comparison methods treat malware as CFG, or behavior sequences. Malware writers use obfuscation, packers and other means of technique to confuse traditional similarity comparison methods. This paper proposes a new approach in identifyling the similarities between malware samples, which rely on control dependence and data dependence. First, the dynamic taint analysis is performed to obtain control dependence relations and data dependence relations. Next, a control dependence graph and data dependence graph are constructed. Similarity information is obtained by comparing these two types of graph. In order to take full advantage of the inherent behavior of malicious codes and to increase the accuracy of comparison and anti-jamming capability, the loops are recued and the rubbish is removed by means of the dependence graph pre-processing, which reduces the complexity of the similarity comparison algorithm and improves the performance of the algorithm. The proposed prototype system has been applied to wild malware collections. The results show that the accuracy of the method and comparison capabilities all have an obvious advantage.
Study on Computer Processing of Recorded Flight Data

As an electronic data acquisition system, flight data recorder may inevitably suffer from data misreporting, distortion or other abnormal data. To ensure data analysis reliable when automatically batch processed by computer,recorded flight data must be judged from their reality and defective data repaired. Based on analysis of huge amount of flight data, authors summed up the characters of defective data,set up some criteria for judging and explored some effective methods for recovering needed data including the method to fill data for parameters with lower sampling rate. The results of calculated fatigue damage show a clear influence of data sampling rate: fatigue damage increases with sampling rate within a certain range, to ensure calculated fatigue damage reliable, the sampling rate for normal acceleration must be at least greater than 4. The results are useful for design or improvement of flight data recorder, and for reliable data processing.
Mahir Gulzar Object Detection Using LiDAR and Camera Fusion in Off-road Conditions

Since the boom in the industry of autonomous vehicles, the need for precise environment perception and robust object detection methods has grown. While we are making progress with state-of-the-art in 2D object detection with approaches such as convolutional neural networks, the challenge remains in efficiently achieving the same level of performance in 3D. The reasons for this include limitations of fusing multi-modal data and the cost of labelling different modalities for training such networks. Whether we use a stereo camera to perceive scene’s ranging information or use time of flight ranging sensors such as LiDAR, ​the existing pipelines for object detection in point clouds have certain bottlenecks and latency issues which tend to affect the accuracy of detection in real time speed. Moreover, ​these existing methods are primarily implemented and tested over urban cityscapes. This thesis presents a fusion based approach for detecting objects in 3D by projecting the proposed 2D regions of interest (object’s bounding boxes) or masks (semantically segmented images) to point clouds and applies outlier filtering techniques to filter out target object points in projected regions of interest. Additionally, we compare it with human detection using thermal image thresholding and filtering. Lastly, we performed rigorous benchmarks over the off-road environments to identify potential bottlenecks and to find a combination of pipeline parameters that can maximize the accuracy and performance of real-time object detection in 3D point clouds.
The Price of Moral Rights : A Field Experiment

U.S. intellectual property law is firmly rooted in utilitarian principles. Copyright law is viewed as a means to give proper monetary incentives to authors for their creative effort. Many European copyright systems pursue additional goals: Authors have the right to be named as author, to control alterations and to retract their work in case their artistic beliefs have changed. Protecting these “moral rights” might be justified by the preferences of typical authors. We present the first field experiment on moral rights revealing the true valuation of these rights by over 200 authors from 24 countries. A majority of authors are not willing to trade moral rights in the first place. They demand substantial prices in case they decide to trade. The differences between authors from the U.S. and Europe are small. These results call into question whether moral rights protection should differ across the Atlantic and whether a purely profitbased theory of copyright law is sufficient to capture the complex relationship between human behavior and creativity. JEL: C93, D03, K11, L82, O31, O34, O38
Gain-Scheduling Control Solutions for Magnetic Levitation Systems 

The paper presents three Gain-Scheduling Control (GS-C) design procedures starting with classical Proportional-Integral (PI) controllers, resulting in PI-GS-C structures for positioning control of a Magnetic Levitation System (MLS) with two laboratory electromagnets. The nonlinear mathematical model of the MLS is first linearized at seven operating points and next stabilized by a state feedback control structure. Three PI-GS-C structures, namely as Lagrange, Cauchy and Switching GS versions, are next designed in order to ensure zero steady-state control error and the switching between PI controllers. All control solutions are validated by real-time experiments.
Energy efficient random access for the quasi-static fading MAC

We discuss the problem of designing channel access architectures for enabling fast, low-latency, grant-free and uncoordinated uplink for densely packed wireless nodes. Specifically, we extend the concept of random-access code introduced at ISIT’2017 by one of the authors to the practically more relevant case of the AWGN multiple-access channel (MAC) subject to Rayleigh fading, unknown to the decoder. We derive bounds on the fundamental limits of random-access coding and propose an alternating belief-propagation scheme as a candidate practical solution. The latter’s performance was found to be surprisingly close to the information-theoretic bounds. It is curious, thus, that while fading significantly increases the minimal required energy-per-bit Eb/N0 (from about 0-2 dB to about 8-11 dB), it appears that it is much easier to attain the optimal performance over the fading channel with a practical scheme by leveraging the inherent randomization introduced by the channel. Finally, we mention that while a number of candidate solutions (MUSA, SCMA, RSMA, etc.) are being discussed for the 5G, the information-theoretic analysis and benchmarking has not been attempted before (in part due to lack of common random-access model). Our work may be seen as a step towards unifying performance comparisons of these methods.
THE RELATION BETWEEN THE MOTION COORDINATION , VOLUME AND BODY MASS OF 11-12 YEAR-OLD FEMALE BASKETBALL PLAYERS UDC 796 . 2 : 012 + 572 .

The aim of this research has been to identify the relation between the motor coordination factor, latent volume dimension and body mass. The sample of participants consisted of 180 preadolescent female basketball players. The motor coordination ability has been estimated with the help of 3 motor tests (threading and leaping, agility in the air and the backward polygon), while the morphological characteristics were measured with the help of a battery of 6 anthropometric measures (body mass, forearm volume, outstretched arm volume, thigh volume, shin volume and abdomen volume). The obtained results were processed using the canonical correlation analysis. The results indicated the existence of only one statistically significant canonical pair factor, which explains 68% of variance, or a moderate correlation of two canonical components between the motor and morphological variables sets (Rc = .59), at the (p < .01) level of significance. The extracted canonical dimension in anthropometric space has been defined as the volume and body mass factor, and the canonical structure of coordination abilities has been interpreted as the canonical factor of body movement coordination. When analyzed partially, body mass (r= .95), forearm volume (r= .89) and threading and leaping (r= .48) variables have mostly contributed to the structure of this canonical dimension. The achieved variance percentage (Rc2 = .68) assumes relevant prediction possibility relation between two linear variable combination systems of female basketball players, younger pioneers and mini-basketball players. The obtained information about the one-componential canonical model of the motor and morphological structure of female players has its practical application in selection improvement, as well as in training female basketball players’ operators modeling.
Various Data Mining Techniques to Detect the Android Malware Applications: A Case Study

- Android has become the most popular smartphone operating system. This rapidly increasing adoption of Android has resulted in significant increase in the number of malwares when compared with previous years. There exist lots of antimalware programs which are designed to effectively protect the users’ sensitive data in mobile systems from such attack. But the attacking rate is increasing year by year. In this paper we conduct a survey of various datamining techniques conducted to analyse and detect the android malware applications. We also analysing the classification algorithm used, dataset size and accuracy of the system.
Short-term traffic volume prediction using neural networks

There are many modeling techniques that can predict the behavior of complex systems, such as traffic volumes in regional transportation systems, with high accuracy. However, predictive power suffers significantly when non-recurring events, such as adverse weather, occur in these systems. Therefore, introducing novel ways to identify and quantify disruptions can improve projection accuracy and performance. Proactive traffic management requires the ability to predict traffic conditions. A relatively new mathematical model, the neural network, offers an attractive approach to modeling undefined, complex, and nonlinear situations. This algorithm is trained by using both historical data and non-recurring phenomena such as weather. In this study, we test our algorithm on traffic data collected on four highways and high-resolution weather data within the Dallas area. The test indicates the model’s high accuracy and efficiency in predicting short-term
Reducing procrastination while improving performance: a wiki-powered experiment with students

Students in higher education are traditionally requested to produce various pieces of written work during the courses they undertake. When students' work is submitted online as a whole, both the ethically questionable act of procrastinating and late submissions affect performance. The objective of this paper is to assess the performance of students from a control group, with that of students from an experimental group. The control group produced work as a unique deliverable to be submitted at the end of the course. On the other hand, the experimental group worked on each part for a week, and their work was managed by a wiki environment and monitored by a specifically developed software. Positive effects were noticed in the experimental group, as both students' time management skills and performance increased. Replications of this experiment can and should be performed, in order to compare results in coursework submission.
SIGNIFICANCE OF ENDOGENOUS AMINO ACID LOSSES IN THE NUTRITION OF SOME POULTRY SPECIES: A REVIEW

The accurate data on protein and amino acids digestibility of feed components is one of the ways to enhance nitrogen and protein utilization and to mitigate nitrogen pollution in a poultry farm. Digestibility and bioavailability of dietary nutrients depend on different factors like the type of feedstuffs, nutrients utilization, fiber contents, and diet adjustments in poultry. Diet formulation depends on dietary sources of protein, which is responsible to improve or maintain amino acid digestibility. The nutrients digestibility and absorption of the diet always decrease with increasing endogenous amino acid losses (EAAL). A lot of factors such as age, species and breeds play important role in EAAL contents. Furthermore, the high values of EAAL have been recorded in early ages in comparison with advanced ages; this result may be owed to the incomplete development of the gastrointestinal tract (GIT) and low digestion in early age as reported by several researchers. The estimation method and factors of the environment are strongly effective on the accurate measurement of EAAL. The aim of this review article is to compare the results of from different methods and highlight the issue EAAL of various poultry species including broiler chickens, laying hens and turkey poults. Besides, this paper illustrates some comparative studies among the aforementioned species according to different ages and methods to correctly understand the nutritional values of feed components, nutrient digestibility and utilization. Based on the review of existing literature this paper direct the attention of researchers and poultry producers to improve the accuracy of estimating EAAL among various poultry models, and to improve the productive and reproductive performance on
An Experimental Device to Test the YPCP ( “ Yukawa Pico Chemistry And Physics ” ) Model : Implications for the CF-LENR Field

In the CF-LENR field (Cold Fusion and Low Energy Nuclear reactions) many experimental results are available: unexplained energy production, presence of unusual patterns of classical fusion reaction products, isotopic composition variations, sporadic emission of nuclear radiations (α, β and γ). These effects are not always observed, for similar experimental conditions. Should a fundamental reason exist for these effects to occur, funding would be justified, to make them repeatable and more intense. In this article, a possible fundamental explanation of the phenomenon is described, together with the experimental plan to assess it. Introduction One of the main conceptual problems to be addressed (and solved) in the field of CF-LENR is: “how can huge potential barriers be overcome” (some 0.3 MeV in the case of d/d fusion and 30 MeV in the case of d/Pd nuclear reactions). Part of the answer is probably to be found in specificities of deuterons behavior in a lattice (deuteron/phonon interaction, resonant electromagnetic-dynamics.), that could increase the otherwise very low probability of reaction. should an attractive (and yet undiscovered) potential exist, with a pico-meter range and a coupling constant in the order of magnitude of the EM coupling constant, these probabilities could be considerably increased and result in macroscopic effects, potentially useful for technical applications. The experimental approach described below, aims at unveiling and characterizing such a potential. When positive, the path would be opened to pico chemistry and physics (YPCP). Theoretical Basis to assess the effects of the new potential: A first attempt to describe the expected effects of such a potential had been presented [1]. Recently [2], arguments have been reported, (in the frame of Standard Model Extension – Lorentz symmetry violation) for the possible existence of a Yukawa type of potential, with a range extending farther than fm and up to pm distances. The YPCP model has been built on this possibility. It aims at proposing and designing unambiguous experiments, to assess the effects and hence the reality of this potential.
The study of motivational factors of volunteers in university sport

The purpose of this study was the survey of motivational factors among volunteers sport in universities Iran. The population of this research from volunteers’ individual for utilized sport association in universities Iran. 120 person of population by random sampling were selected as sample of this study. Then the questionnaires (MVI, Satisfaction Scale, TIPI) of this study made and reliability by alpha Alpha Coronbach (r = 0/84, 0/81, 0/81) in significant level (=0/05) was measured. The collected data were analyzed by descriptive statistically and test of hypotheses using T.test and Pearson correlation done. Findings show that personal growth factor highest and value factor lowest score among mails and females. Also personal growth, value, Recognition, hobby and self-esteem factors in female were rather than the males. The analysis showed that there is significant difference between interaction social, Recognition, hobby, Self Esteem factors with gender. Highest and lowest factors in physical education students were career and value factors. But among non-physical education students Recognition was highest factor and lowest factor was value. Personal growth, a value, Recognition and career factor in the physical education student was rather than non physical education students. T.test analyzed was performed to measured significant difference between field and motivation factors. There was significant difference between interaction careers, Recognition, Self-Esteem, personal growth factors with academic field. The finding indicates that compared to the other age groups, 20-17 are higher in volunteer satisfaction than the other age group. Also based on the found Personal Growth was correlated with Extraversion and Neuroticism. Self-Esteem factor was statistical significant relation with Extraversion. There was statistical significant relation between Satisfaction with Career, Social and SelfEsteem.
Propofol prevents against oxygen glucose deprivation and reperfusion-induced autophagic cell death in H 9 c 2 cells by increasing miR-30

Timely reperfusion saves a great amount of ischemic myocardium, but causes free radical injury. Autophagy renders cardiomyocytes more prone to the injury. Propofol is widely used in general anesthesia and sedation. However, effects of propofol on cardiac ischemia and reperfusion injury remain unknown. Current study aimed to investigate effects of propofol on oxygen glucose deprivation and reperfusion (OGD/R)-induced autophagic cell death in cardiomyoblasts and explore possible molecular mechanisms. H9c2 rat cardiomyoblasts were deprived of oxygen and glucose, and then reoxygenated in normal medium. Propofol (8, 16 and 32 μM) was added to cells at 1 h before OGD/R. MTT assay was utilized to evaluate the viability of cardiomyoblasts. Autophagy was detected by monodansylcadaverine (MDC) staining kit. Protein expression of cellular autophagy markers Beclin-1 and LC3B in cardiomyoblasts in the presence or absence of propofol was detected by Western Blot. The expression of miR-30 was detected by RT-PCR. MiR-30 mimics was transfected into cardiomyoblasts, and protein expression of Beclin-1 was examined in the presence or absence of propofol and miR-30. Propofol inhibited OGD/R-induced cell death. There was a clear increase in fluorescence intensity and number of autophagic vacuoles in OGD/R group compared to the control cells. Propofol treatment attenuated the increase in autophagic cells and significantly attenuated OGD/R-induced increased expression of Beclin-1 and LC3B dose-dependently. Propofol after OGD/R dramatically increased miR-30 expression in a dose-dependent manner, whereas OGD/R alone decreased the expression. MiR30 mimics significantly attenuated the protein expression of Beclin-1 in OGD/R-treated cardiomyoblasts, and the inhibition was enhanced when combined with propofol. MiR-30 mimics also markedly decreased Beclin-1 expression in cardiomyoblasts that were not treated with OGD/R.
Crack Prediction Model for Concrete Affected by Reinforcement Corrosion

The purpose of this study was to develop an analytical model to predict the time required for cracking of concrete due to corrosion of the iron reinforcement. The concrete and cement specimens used for this study were batched with cover material ranging from 0.75 to 1.3 in (1.91 to 3.30 cm). The extent of cover material was not formulated into the model under the assumption that crack initiation would tend to produce visible cracking within a relatively short time period. The model was derived using both Hooke’s Law and the volume expansion induced by the corrosion oxides. Correlation achieved with specimen cracking data from the literature was relatively good with a 95% level of confidence. This model presents a key benefit to facility and infrastructure managers by enabling them to plan the time when corrosion mitigating actions are required. It also provides a significant convenience as the condition of the concrete structure or its environment changes over time. The only parameter that needs to be updated over time is the corrosion rate measurement. This single parameter captures the most influential impact that stems from several other parameters which tend to be required in models that are more mechanistically definitive.