Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Relief Feature Selection Algorithm Based on Mean-Variance Model

Relief is a feature evaluation method which performs well,while the weight of feature could fluctuate w ith the samples,w hich lead to poor recognition accuracy.To solve this problem,a novel feature selection algorithm based on Mean-Variance model is presented.It takes both the mean and the variance into account as the criterion of feature evaluation,w hich makes the result more stable and accurate.Based on real seismic signals of ground targets,experiment results indicate that the subsets of feature generated by proposed algorithm have better performance.
Genotoxic Effects and Liver Toxicity in Swiss Albino Mice Males after Acute and Chronic Exposure of Diacetyl and Butter flavors

Since the mid-1950s, the volatile structure of butter oil and butter were researched, and an exhaustive list of elements has been collected. Diacetyl is an aromatic popular synthetic fragrance that gives food a buttery taste used in ice cream, snacks and potting with butter, strawberry, caramel, or cheese flavor. The chromosomal aberrations and micronuclei are commonly used biomarkers of chromosomal damage, genome stability, and cancer risk assessment. In vivo trials are still important to assess the genetic toxicology of chemical products such as industrial chemicals, pharmaceuticals, and food additives. This study aimed at assessing the potential genotoxic effect of diacetyl and butter flavors on swiss albino mice using alterations in liver function enzymes, micronucleus (MN), and chromosomal aberrations (CA) assays. The results showed that exposure of swiss albino mice males to diacetyl and butter flavors induced (CA) and (MN) in a statistically highly significant manner compared to the control. Meanwhile, the biochemical analysis revealed that these substances caused an exceptional rise in liver function enzymes (AST, ALT, and ALP) activity in serum of treated experimental animals. In conclusion, both tested compounds have increased the chromosomal aberration, micronucleus test, and serum levels of liver function enzymes indicating their high potential of being cytotoxic and genotoxic materials.
The degree of ground coverage by arable crops as a help in estimating the amount of spray solution intercepted by the plants

For typical pesticide spray-application scenarios, estimates of the fractions of spray liquid intercepted by the plants are presented for various field crops, depending on the crop growth stage. Since any direct (analytical) determination would have required a relatively high level of experimental effort, the approach selected was to estimate these data based on crop ground-coverage records from more than 2000 herbicide field trials in Central and Northern Europe (years 1993-1996). Interception factors are important for the assessment of compounds during product registration, therefore some crop specific values were derived from the data presented. The results are compared to data reported in the literature. Bodendeckungsgrade bei Flachenkulturen als Hilfsmittel zum Abschatzen der lnterzeption von Spritzflussigkeiten Fur typische Spritzanwendungen von Pflanzenschutzmitteln im Rahmen Guter Landwirtschaftlicher Praxis werden Richtwerte des Interzeptionsfaktors (Anteil der Spritzflussigkeit, den die Kultur aufnimmt) vorgelegt. Um den hohen experimentellen Aufwand fur die direkte (analytische) Bestimmung dieser Werte zu umgehen, wurden entsprechende Daten aus uber 2000 Freiland-Herbizidversuchen in Mittel- und Nordeuropa (Jahre 1993-1996) aus dem Boniturmerkmal „Deckungsgrad der Kultur" abgeleitet. Interzeptionsfaktoren sind hinsichtlich der Stoffbewertung im Rahmen der Zulassung von Bedeutung, entsprechende Werte wurden aus den vorliegenden Daten abgeleitet. Die Ergebnisse werden fur die wichtigsten Feldkulturen in Abhangigkeit vom Entwicklungsstadium dargestellt und diskutiert.
GEODESY DETERMINATION OF THE HORIZONTAL STRAIN RATES TENSOR IN WESTERN UKRAINE

Doppler Orbitography and Radio-positioning Integrated by Satellite (CORS) observations from 37 Global Navigation Satellite System (GNSS) stations located in the Western Ukraine area were processed using Bernese Processing Engine module (BPE) of Bernese GNSS Software version 5.2 for a time span of about 2.5 years. To get a better agreement for constrains, the IGS stations closest to the surrounding area of study were chosen with fixed coordinates of ITRF2008 at epoch 2005.0. Eastern and Northern components of velocities of GNSS observations from these 37 permanent stations, calculated from GNSS measurements, were used to construct a 2D model of horizontal strain rates field for the area. This study is presented in three parts. Firstly, two exact solutions for the components of the 2D strain rate tensor derived on the geosphere based on solving the eigenvalues – eigenvectors problem were analyzed, including skew symmetric rotational rate tensor. Secondly, based on the most simple and useful formulas from the first stage, a rigorous estimation of the accuracy of components of the 2D strain rate tensor were obtained based on the covariance propagation rule. Finally, the components of the 2D strain rate tensor, dilatation rate and components of the sheer rate tensor in the region were computed. A model of the rotation rate tensor was constructed for the described area, which led to the conclusion that the region of study should be interpreted as a deformed territory. Based on the computations from the GNSS-data model of components of horizontal deformations, the rates of principal values and rates of principal axes of the Earth’s crust deformation were found. To be consistent, the main tectonic formations are shown as the background intensity of different components of velocities, the rotation rate and strain rate tensors. Topographic features of the region were based on the SRTM-3 model (Shuttle Radar Topography Mission) with resolution 3 †· 3 † . At the first sight, the maximum sheer rates have greatest values in the areas located around the Ukrainian Carpathians. The dilatation rate has also a similar distribution. Nevertheless, because in the paper only eigenvalue – eigenvector problem without accuracy estimation has been considered, which possibly leads to doubtful conclusions regarding interpretation and requires an additional solution of a purely mathematical problem. The full covariance matrix of the strain rate tensor should be found based on given full covariance matrix of the velocity components obtained by Bernese software. As a matter of fact, the study region is very complex in terms of crustal movements, which, according to the results obtained, require further densification of permanent GNSS stations.
Intrapulse Modulation Recognition of Radar Signals Based on Cepstrum Analysis

The radar modulation signals can be considered to be composed through the convolution of the carrier-operated signal and the modulation signal.Based on the theory of cepstrum transform,the radar modulation signal is decomposed logarithmically,where the relationships are converted to linear summarization.Then the components are separated through the filtering.These processes are helpful in distilling the signal modulation parameters and to further recognition.Finally,the simulation analysis is made with LFM and PSK signals with variable SNRs.Results show that the cepstrum method is very effective.
Notice of RetractionThe comparative of Boolean Algebra Compress and Apriori Rule techniques for new theoretic Association Rule mining model

Data Mining refers to extracting or “mining” knowledge from large amounts of data. The Association Rule the one of technique to knowledge discovery. The Association Rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. One of the most famous association rule learning algorithms is Apriori rule. Apriori algorithm is one of algorithms for generation of association rules. The drawback of Apriori Rule algorithm is the number of time to read data in the database equal number of each candidate is generated. Many research papers have been published trying to reduce the amount of time needed to read data from the database. In this paper, we propose a new algorithm that will work rapidly. Boolean Algebra Compress technique for Association Rule Mining. Firstly, compress data. Secondly, reduce the amount of times to scan database tremendously. Thirdly, reduce file size. The construction method of Boolean Algebra Compress technique for association rule mining has ten times higher mining efficiency in execution time that Apriori Rule.
Ca 2 (cid:1) Dependency of N-Cadherin Function Probed by Laser Tweezer and Atomic Force Microscopy

This study was undertaken to provide a biophysical basis for the hypothesis that activity-dependent modulation of cadherin-mediated adhesion by transient changes of extracellular calcium ([Ca 2 (cid:1) ] e ) is causally involved in coordination of synaptic plasticity. Character-ization of homophilic N-cadherin binding by atomic force microscopy and laser tweezer trapping of N-cadherin-coated microbeads attached to the cell surface of cultured neuronal cells showed that adhesive activity of N-cadherin is effectively regulated between 0.3 and 0.8 m M [Ca 2 (cid:1) ] e . Furthermore, we show that an increase of [Ca 2 (cid:1) ] i , which is known to be essential for induction of synaptic plasticity, causes significant reduction of cadherin-mediated bead adhesion that could be completely suppressed by inhibition of actin depolymerization. The results of this study show that N-cadherin has ideal biophysical properties to serve as a Ca 2 (cid:1) -dependent sensor for synaptic activity and, at the same time, is strategically located to control synaptic adhesion. A drop of [Ca 2 (cid:1) ] e and a concomitant increase of [Ca 2 (cid:1) ] i may act in concert to modulate N-cadherin-based adhesive contacts at synaptic sites.
A Surgical Reduction Technique for Posterior Cruciate Ligament Avulsion Fracture in Total Knee Arthroplasty: A Comparison Study

Background: Posterior cruciate ligament (PCL) avulsion fracture of tibia is an uncommon but serious complication during primary cruciate retaining total knee arthroplasty (TKA). The first objective of this report was to conduct a retrospective cohort study to investigate the incidence and potential risk factors of PCL avulsion fracture in primary cruciate-retaining TKA. The second objective was to assess the functional outcomes of the knee after reduction of PCL avulsion fracture. Methods: From January 2014 to January 2016, 56 patients who experienced PCL avulsion fracture of tibia in primary cruciate-retaining TKA were included in study group. Patients in this group underwent reduction of avulsion fracture. In this period, we selected 224 patients (control group) for comparison. Patients in this group also underwent the same TKA but no PCL avulsion fracture occurred. Range of motion of the knee and Knee Society Scores were assessed. The forgotten joint score was used to analyze the ability to forget the joint. Differences were considered statistically significant at p < 0.05. Results: In our series, the incidence of PCL avulsion fracture was 4.6%. There was no significant differences with regard to preoperative or postoperative range of motion of the knee (p > 0.05). At the final follow-up of 4 years, the mean clinical scores of study and control groups were 92.4±2.7 and 93.6±1.9, respectively (p > 0.05). The mean functional scores were 85.1±1.8 and 87.1±1.2, respectively (p > 0.05). There was no significant statistical difference with regard to forgotten joint score (p > 0.05). Conclusions: The incidence of PCL avulsion fracture of tibia is relatively high. Older age and female gender were two risk factors of fracture in primary cruciate-retaining TKA. Reduction of PCL avulsion fracture with high-strength line can achieve good stability and function of the knee.
Eucalyptus Subgenus Symphyomyrtus: Sections: Exsertaria, Latoangulatae and

: Eucalypts are the most planted hardwood in the world, with 30 million ha. under cultivation. There are approximately 700 species of eucalypts, but more than 90 % of the plantations are concentrated in nine species of the Subgenus Symphyomyrtus in the Sections Exsertaria, Latoangulatae and Maidenaria. Since 2000, with the advancement of biotechnology, many species have been reclassified and regrouped according to their morphological and physiological characteristics, DNA structure and geographic distribution. This work had as its objective the formulation of a critical analysis which presents the main characteristics that will identify the species of Eucalyptus of these new sections. The species are classified mainly according to geographic distribution, where crosses occur; as evolution in the subgenus Symphyomyrtus is preferably reticulated (with backcrosses), which makes it difficult to identify the rate by molecular and morphological markers. Environmental ecological similarity will define whether the hybrid will become a new species or regress to one parent and become an ecotype. The hybrid will become a new species when it has ecological characteristics different from its parents.
Hypergraph modeling for saliency detection and beyond.

Salient object detection aims to locate objects that capture human attention within images. Previous approaches often pose this as a problem of image contrast analysis. In this work, we model an image as a hypergraph that utilizes a set of hyperedges to capture the contextual properties of image pixels or regions. As a result, the problem of salient object detection becomes one of ﬁnding salient vertices and hyperedges in the hypergraph. The main advantage of hypergraph modeling is that it takes into account each pixel’s (or region’s) aﬃnity with its neighborhood as well as its separation from image background. Furthermore, we propose an alternative approach based on center-versus-surround contextual contrast analysis, which performs salient object detection by optimizing a cost-sensitive support vector machine (SVM) objective function. Experimental results on four challenging datasets demonstrate the eﬀectiveness of the proposed approaches against the state-of-the-art approaches to salient object detection. In
Guam Transportation Petroleum-Use Reduction Plan

The island of Guam has set a goal to reduce petroleum use 20% by 2020. Because transportation is responsible for one-third of on-island petroleum use, the Guam Energy Task Force (GETF), a collaboration between the U.S. Department of Energy and numerous Guam-based agencies and organizations, devised a specific plan by which to meet the 20% goal within the transportation sector. This report lays out GETF's plan.
Data Mining Methods for Designing and Triggering Rules in Active Database Systems

Active database system has been introduced to extend the database functionality. It is capable of detecting specific events and automatically reacting to them by executing certain actions either inside or outside the database. This behavior is usually specified through Event Condition Action (ECA) rules. Rule design plays a critical role in implementing an active database system. It is not always straightforward due to lack of methodology. In this paper a new approach is presented to identify ECA rules that could strongly express application semantics. Additionally an ensemble method is proposed to trigger more appropriate ECA rules when the interesting events occurred.
Detecting and Evading Censorship-in-Depth: A Case Study of Iran’s Protocol Filter

As the censorship arms race advances, some nation-states are deploying “censorship-in depth,” composing multiple orthogonal censorship mechanisms. This can make it more dif-ﬁcult to both measure and evade censorship. Earlier this year, Iran deployed their protocol ﬁlter that permits only a small set of protocols (DNS, HTTP, and HTTPS) and censors connections using any other protocol. Iran composes their protocol ﬁlter with their standard censorship, threatening the success of existing evasion tools and measurement efforts. In this paper, we present the ﬁrst detailed analysis of Iran’s protocol ﬁlter: how it works, its limitations, and how it can be defeated. We reverse engineer the ﬁngerprints used by the protocol ﬁlter, enabling tool developers to bypass the ﬁlter, and report on multiple packet-manipulation strategies that defeat the ﬁlter. Despite acting concurrently with and on the same trafﬁc as Iran’s standard DPI-based censorship, we demonstrate that it is possible to engage with (and defeat) each censorship system in isolation. Our code is publicly available at https://geneva.cs. umd.edu .
CRITICAL REVIEW ON KAIDARYADI KASHAYA IN IRRITABLE BOWEL SYNDROME W.S.R TO GRAHANI

Kaidaryadi kashaya, IBS, Tridoshahara, Pachana deepana, Kleda soshana, Grahani. ABSTRACT Irritable Bowel Syndrome (IBS) is a functional gastrointestinal disorder characterized by varying bowel habits and recurrent abdominal pain. An observational study conducted on 25 patients of IBS who attended the Kayachikitsa O.P.D, V.P.S.V Ayurveda college, Kottakkal noticed Muhurbadha muhurdrava varchas (Increased frequency of loose stools after meals)88%, Saruja malapravrithi (abdominal pain during defaecation)60%, Daha (burning sensation)60% and Sleshmasamsrishta mala (mucus in stools)52% as the common presentations. On assessing the symptoms, Grahani dushti, Agnimandya, Arsas and Tridosha involvement can be found predominating in the pathophysiology. Kaidaryadi kashayam is a well known traditional decoction formulation from the text Chikitsa manjariMahodara chikitsa. This yoga having Tridoshahara, Kleda soshana, Pachana deepana, Vatanulomana and Grahani balya property is found to be effective in reducing the symptoms of IBS, when administered along with suitable formulations. Kaidaryadi kashayam contain 4 drugs i.e., Zingiber officinale, Murraya koeinigii, Terminalia chebula and Tricosanthes dioica. The action of Kaidaryadi kashayam is evaluated for its action on IBS based on available clinical and research data here in this paper. The ingredients inhibits proton pump, thereby reducing the gastric secretion, helps in the protection of gastric mucosa, reduces the acidity of gastric juice and acts as a strong cytoprotective. So based on the available data we can say Kaidaryadi kashayam is an effective formulation in the management of Lower GIT pathology of IBS.
Modes of Listening: Why, How and to What?

Abstract This chapter presents a typology of the modes of listening employed across science, medicine, and engineering. It distinguishes between three purposes of listening and three ways of listening in the sciences. The three purposes discussed are diagnostic, monitory, and exploratory listening; the three ways are analytic, synthetic, and interactive listening. Using ample examples, this chapter illustrates the six modes of listening and the virtuoso mode-switching of scientists and other experts. It reflects on the incidence of specific combinations of purposes and ways of listening, and asks how these listening modes interact with the third dimension of listening: listening to what.
Delivering Exceptional Project Results: A Practical Guide to Project Selection, Scoping, Estimation and Management

From The Back Cover"Leading companies that are positioning themselves for the future rather than the present are asking the project managers to participate in project selection, scoping, and estimation as well as management. Delivering Exceptional Project Results offers a glimpse into the future role of the project manager. If your company believes that project failure is an option, then perhaps you should not read this book. " Harold Kerzner, Ph.D. Best-selling Author, Professor Emeritus, Baldwin-Wallace College "I really enjoyed reading this book. The chapters, full of valuable insights well beyond the typical project management presentations, are introduced with diverse and engaging historic case examples. Executives faced with project portfolio management, or who are venturing into the area for the first time, will find the latter part of the book particularly valuable as new solutions are offered for those seemingly intractable problems of project portfolio management. " R. Max Wideman, PMI Fellow AEW Services and Management Consulting "Delivering Exceptional Project Results" is a definite must read for any executive, functional director or project manager. The author clearly demonstrates how to deliver successful products and services by employing proper project selection, scoping and management techniques. This book provides you with practical, hands-on tools and techniques that can be deployed on your own projects right away. " Matt Walters,Director of Technology, Tyze Personal Networks Key Features Defines the three pillars of project portfolio management and examines the portfolio management methods used by industry leaders, followers and laggards to justify their validityExplains best practices for assessing project value, categorizing and prioritizing projects, balancing portfolio mix, determining and managing project pipeline throughput capacity, and strategic alignment to maximize results and minimize risks Covers project scoping, negotiation and planning, estimation, monitoring and control, the role of creativity, and the value of lessons learned documents using numerous real-world examples within a business context and from an entertaining historical perspective Offers six downloadable templates for project charters, plans, meeting minutes, change requests, status reports, and lessons learned reports.
An Anti-Noise Fault Diagnosis Method of Bearing based on Multi-Scale 1DCNN

In recent years, intelligent fault diagnosis algorithms using deep learning method have achieved much success. However, the signals collected by sensors contain a lot of noise, which will have a great impact on the accuracy of the diagnostic model. To address this problem, we propose a one-dimensional convolutional neural network with multi-scale kernels (MSK-1DCNN) and apply this method to bearing fault diagnosis. We use a multi-scale convolution structure to extract different fault features in the original signal, and use the ELU activation function instead of the ReLU function in the multi-scale convolution structure to improve the anti-noise ability of MSK-1DCNN; then we use the training set with pepper noise to train the network to suppress overfitting. We use the Western Reserve University bearing data to verify the effectiveness of the algorithm and compare it with other fault diagnosis algorithms. Experimental results show that the improvements we proposed have effectively improved the diagnosis performers of MSK-1DCNN under strong noise and the diagnosis accuracy is higher than other comparison algorithms.