Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study On Blocking Fake Accounts In Online Social Network

-Sybil strikes are an essential risk to the protection of allocated techniques. Lately, an increasing interest in utilizing public networking sites to minimize Sybil strikes. The current techniques experience from one or more disadvantages, such as bootstrapping from either only known harmless or known Sybil nodes, unable to accept disturbance in their information about known harmless or Sybil nodes, and not being scalable. Towards this objective, SybilBelief, a semi-supervised studying structure, to recognize Sybil nodes. SybilBelief takes an online community of the nodes in the program, a little set of known harmless nodes, and, additionally, a little set of known Sybils as feedback. Then Sybil Belief develops the brand information from the known harmless and/or Sybil nodes to the staying nodes in the program. Sybil Belief using both artificial and real life online community topologies. SybilBelief is able to perfectly recognize Sybil nodes with low incorrect beneficial prices and low incorrect adverse prices. SybilBelief is long lasting to disturbance in our information about known harmless and Sybil nodes. Moreover, SybilBelief works purchases of magnitudes better than current Sybil category techniques and considerably better than current Sybil position techniques.
Effective Homology of Hopf Algebras

In this paper we explain the importance of the notion of A ∞ -Hopf algebra in the Algebraic Topology framework. In particular, we focus our efforts to show how, given a Hopf algebra, it is possible to weaken the structure in the computation of the homology. Furthermore, we will see that this process induces a new sophisticated structure, an A ∞ -Hopf algebra.
Comparative Study of Hematological Parameters in the Third Trimester of Hypertensive and Normotensive Pregnant Women

Pregnancy induced hypertension (PIH) is a serious life threatening complication, resulting in intrauterine growth retardation (IUGR) of the fetus. The study was aimed to compare the hematological and during third trimester in hypertensive and normotensive pregnant women. It is a cross-sectional study undertaken at Dr BR Ambedkar Medical College and K.C. General Hospital Bangalore. Total of 43 pregnant women of which 19 were hypertensive and 24 were normotensive mothers were considered for the study. Women who had hypertension in pregnancy after the 20 weeks of gestation, with SBP and DBP of 140 and 90 mm Hg, with or without edema and or proteinuria were included. Hematological parameter were estimated by using Sysmex XN-9100TM Automated Hematology System . The mean hemoglobin level of the hypertensive group (8.13 ± 0.5) was significantly lower than that of the normotensive group (9.68 ± 0.64) (p<0.05). The mean platelet count of the hypertensive group (164.15± 34.8) was significantly lower than that of the normotensive group (370.04± 46.3) (p<0.05). The mean lymphocytes level of hypertensive group (1.29 ± 5.6) was significantly lower than that of the normotensive group (1.93 ± 1.4) (p<0.05). The mean WBC level of hypertensive group (15.9 ± 2.09) was significantly high than normotensive group (7.8± 1.7) (p<0.05). The mean hematocrit level of hypertensive group (31.10 ± 2.55) was significantly high than normotensive group (27.6 ± 2.05) (p<0.05). Platelet count could be a suitable indicator for monitoring patients with PIH at risk of IUGR and Intra uterine death (IUD) of the fetus. Anemia may be associated with IUGR and IUD in PIH patients.
An Overview of the Study Using Biosignals Generated During Thinking a Particular Alphabet

The paper is enclosed with the idea of helping people who are not capable of operating their limbs due to any accidents occurred in their past life. It implies theoretically, knowledge gained out of studying our field related articles. Mind readings as well as remote communication have their unique fingerprint in various fields such as educational, selfregulation, production, marketing, security, games and also in entertainment. It enables a mutual understanding between the user and the surrounding systems. Here in this paper we discuss about brain waves (Biosignals) which are recorded using Electrode Encephalography (EEG), and the brain computer interface process used in gaming are the two valuable sources to create our typing using the Biosignals generated during thinking particular alphabets. We hope that this paper will be much helpful to the people who are physically challenged with writing disabilities can put up their words comfortably using this idea.
Appendix A. Summary of Recent Research on Effects of Climate Change on the Chesapeake Bay

Najjar et al. (2010) summarized research on historical and projected impacts of climate projections for the Chesapeake Bay region and the associated potential impacts on the circulation, biogeochemistry, and ecology of the Chesapeake Bay. The study concluded that climate change has the potential to dramatically alter the Bay with likely changes being: “(1) an increase in coastal flooding and submergence of estuarine wetlands; (2) an increase in salinity variability on many time scales; (3) an increase in harmful algae; (4) an increase in hypoxia; (5) a reduction of eelgrass, the dominant submerged aquatic vegetation in the Bay; and (6) altered interactions among trophic levels, with subtropical fish and shellfish species ultimately being favored in the Bay. ” The main purpose of this appendix is to review research published over the past five years on the historical and projected effects of climate change on the Chesapeake Bay.
Assessing the Performance of Voluntary Environmental Programs

In recent years, government agencies have increasingly relied on voluntary programs to achieve a variety of goals, from improving worker safety to creating healthier living conditions in urban areas. This type of government initiative is based on a bargain between the agency and private citizens: the government provides certain incentives—economic or otherwise—and private actors voluntarily adopt behaviors that benefit the public. One example is cleaning up a contaminated site and building an affordable housing project. While agencies have made substantial progress since the creation of the first voluntary programs, much work remains. To move forward in this area, and especially with voluntary environmental programs, two critical questions must be answered: First, how should we evaluate the performance of voluntary environmental programs? And second, how do wedetermine the appropriate level of government—federal, state, or local—that should be in charge of implementing them? These two questions have not been satisfactorily addressed to date. This Article addresses these lingering questions by evaluating the performance of a sophisticated local voluntary cleanup program. The resulting analysis uncovers some of the shortcomings in how agencies and scholars have previously assessed voluntary programs, yielding four contributions to the literature. First, the Article offers a deeper understanding of how data can and should affect the design and improvement of regulatory programs. Second, the examination of a local voluntary cleanup program provides much-needed empirical support for a common argument raised in the environmental federalism literature: that the need to tailor programs to local conditions can justify a strong municipal role. The need for a strong local government is especially important where state legislation creates what this Article refers to as “local regulatory gaps. ” Third, while efficiency is a desirable feature of any government initiative, it becomes a necessity in the context of voluntary programs. Delays and other inefficiencies in the operation of avoluntary program can deter potential enrollees from participating in it. Without enrollees, voluntary cleanup programs simply cannot operate. Lastly, injecting unnecessary complexity into the design of voluntary programs by trying to address too many policy challenges at once can be counterproductive.
Evaluation of Milk Kinship Formation via Early Breast-Feeding

DOI: 10.21276/sjmps.2018. 4.1. 9 Abstract: Consanguinity constitutes one of the major health problems worldwide, in which consanguineous marriages are associated with an increased risk for congenital malformations and autosomal recessive diseases. Although the advancement in modern biomedicine and forensic laboratories techniques continue to guide scientists to move forward to unravel many life sciences secrets, it is still ambiguous to investigate the full picture of milk kinship and its related consanguinity. Theoretically, it is possible to see such consanguinity developed from early sufficient breast-milk feeding. Thus, scientists should cooperate to investigate the problem practically to find a proper solution. This review article focuses on the alleged consanguinity that evolves from milk breastfeeding or beyond through wet nursing or milk formula feeding. Additionally, this article proposes the idea of removing milk genetic components to establish a new safe genetically free formula as a promising solution.
Automated Controller and Sensor Configuration Synthesis Using Dimensional Analysis

Automated controller synthesis methods for cyber–physical systems (CPSs) often require precise knowledge of the system’s state. Unfortunately, parts of the state may not be directly measurable, which limits the application of these methods. We present a design methodology for the co-design of software controllers and the required sensing capabilities. Our method leverages the knowledge of physical units in the model of a system to find ways of indirectly measuring parts of the system’s state which cannot be measured directly. The method contains a search procedure which uses dimensional analysis to explore the space of physically well-typed expressions and it generates as an intermediate result possible sensor combinations. The integration between the physical and software design for CPS that we present make automated controller synthesis techniques more widely applicable. We have implemented our method and applied it to the design of robotic manipulators.
Antioxidant Properties of Green Synthesized Silver Nanoparticles from Sargassum wightii

Natural antioxidants and their association with health benefits have gained unprecedented attention in recent years. They have multiple functions in biological systems and mainly defense against oxidation that produce free radicals in food, chemicals and in living systems. During the past decades, synthesized nanoparticles from marine organisms and many of these substances have been demonstrated to posses exciting biological activities. With this background, S. wightii and its AgNPs were analyzed for their antioxidant properties. Green synthesis of silver nanoparticles was carried out using the aqueous extract of S. wightii. The aqueous extract of S. wightii showed significant potential for the quick reduction of silver ions. The antioxidant properties of green synthesized AgNPs was carried out and it showed significant activity when compared with standard. The present work of green synthesis of silver nanoparticles using S. wightii appears to be cost effective, eco-friendly, and an alternative to conventional method of synthesis. In the present study, the aqueous extract and its synthesized AgNPs showed high antioxidant activity to the best of our knowledge. Hence, green synthesized AgNPs of S. wightii can be used as a potential therapeutic drug for various diseases due to its bioactive properties.
Stability Analysis of Fraction-Order Hopfield Neuron Network and Noise-Induced Coherence Resonance

In this paper, dynamical behaviors of fraction-order Hopfield neuron network are investigated. Firstly, Mittag-Leffler stability analysis is carried out and some sufficient conditions are obtained. On the basis of theoretical analysis, two criteria for determining the stability of fraction-order Hopfield neuron network are presented and comparison between them is given by theoretical analysis along with numerical simulation. According to the proposed criteria, by selecting suitable system parameters, it can be obtained that fraction-order Hopfield neuron network can stabilize to the equilibrium point or an attractor, which can be a periodic orbit or two points. Secondly, considering the inevitable noise in the complex environment of neuron network, the effect of noise on the dynamics of fraction-order Hopfield neuron network is discussed via calculating coefficient of variation and numerical simulations. Results suggest that random noise can cause coherence resonance in fraction-order Hopfield neuron network for certain noise intensity.
An Analysis of the Cluster-Detecting Property of the BCM Neuron

The BCM learning rule was ﬁrst proposed by Elie Bienenstock, Leon Cooper, and Paul Munro to measure the selectivity of neurons in the primary visual cortex and its dependency on neuronal inputs. 4 We show that an artiﬁcial BCM neuron has the ability to detect clusters in a dataset. While paying attention to the qualitative behavior of an underlying system of diﬀerential equations, we present an analysis of this cluster-detecting property of such a neuron. We also analyze, and discuss the performance of, a resulting clustering algorithm.
Designing Data Warehouses through schema transformation primitives

Data Warehouses (DW) are databases that store information in order to satisfy decision-making requests. DW features are very different from conventional database ones, so that design strategies developed for the latter are generally not applicable for DW. Existing work in DW design consists mainly of techniques for specific sub models (e.g. star and snowflake) and design patterns for specific domain areas, which lack of generality in the treatment of design techniques.
Discrete Laplace operators

In this chapter we review some important properties of Laplacians, smooth and discrete. We place special emphasis on a unified framework for treating smooth Laplacians on Riemannian manifolds alongside discrete Laplacians on graphs and simplicial manifolds. We cast this framework into the language of linear algebra, with the intent to make this topic as accessible as possible. We combine perspectives from smooth geometry, discrete geometry, spectral analysis, machine learning, numerical analysis, and geometry processing within this unified framework.
Learning-Memory & Timing

Recent functional neuroimaging evidence suggests a bottleneck between learning new information and remembering old information. In two behavioral experiments and one functional MRI (fMRI) experiment, we tested the hypothesis that learning and remembering compete when both processes happen within a brief period of time. In the first behavioral experiment, participants intentionally remembered old words displayed in the foreground, while incidentally learning new scenes displayed in the background. In line with a memory competition, we found
Honeynet based Defensive mechanism Against DDoS Attacks

Internet we are using today is expanding faster than we could have imagined. Since the dawn of the Internet, there has been an exponential increase in the number of web sites and so the quantity of data on these websites. According to a recent data released by Google, As of October 2018, there are more than 1.9 billion websites on the Internet and more than 85,000 sites have been hacked or overrun by the hackers on all over the globe. It’s being such a huge and frightening numbers. Most of the hackers attack the web sites to collect useful information and also to make other legitimate users devoid of the information or services they required. It is called a Denial of service (DoS). It has another important other version known as Distributed Denial of Service (DDoS) where attackers attacks in a distributed manner from various distributed locations. To curtail this problem in 1991 Honeypot was introduced which takes all attacks on itself and studies the attack pattern. But as time passes on various types of honeypots were introduced like honeytoken and honeynet. Honeypots allow all the attacks on itself and make attackers think that they have the access of real system and meanwhile honeypots will study all the attack pattern of attackers. Before honeypots, a filtering algorithm is used which with the help of pre-defined sink server will predict whether a given packet is malicious or not, here help of ISP service provider can also be taken if sink server doesn’t have any information about the sender of given data packets. Then to further enhance the capability of honeynet cloud, a various different type of services can be deployed at honeynet clouds like HTTP, CBR and FTP. Here we have used NS2 simulator to run our above-proposed work and the results are taken in the form of graphs like throughput of all three different types of honeypots, bandwidth and packet loss of all services provided by destination servers. Detection rate of malicious packets are calculated and comparison has be done between different services provided by honeynet cloud.
Stochastic Simulation of Reacting Particles

2 Algorithms 2 2.1 Simple Brownian Dynamics . 3 2.2 Naive Boundary Treatment in Brownian Dynamics . 3 2.3 Fancier Boundary Treatment in Brownian Dynamics . 3 2.4 Reactions in Brownian Dynamics . 6 2.5 Reaction Rates . 7
Depth estimation and View Synthesis using Haze Information

Previous approaches to the 2D to 3D conversion problem require heavy computation or considerable amount of user input. In this paper, we propose a rather simple method in estimating the depth map from a single image using a monocular depth cue: haze. Using the haze imaging model, we obtain the distance information and estimate a reliable depth map from a single scenery image. Using the depth map, we also suggest an algorithm that converts the single image to 3D stereoscopic images. We determine a disparity value for each pixel from the original 'left' image and generate a corresponding 'right' image. Results show that the algorithm gives well refined depth maps despite the simplicity of the approach.
Expression pattern analysis of terpene synthases of endangered Aquilaria sinensis under different stresses

Objective To analyze the expression of terpene synthases of Aquilaria sinensis,an endangered south medicine,and to predict the influences of the environmental factors and stresses on the synthesis of terpene in A.sinensis. Methods Two-year old seedlings and calli were treated by different stresses.The gene expression patterns of terpene synthases were analyzed by real-time qPCR.Results Wounding and cauterizing could induce the transcriptional expression of terpene synthases in the stems,and the effect of cauterizing was more significant.Low temperature inhibited the transcription of terpene synthases.In calli,methyl jasmonate(MeJA) treatment had the most effective induction.Conclusion Both wounding and cauterizing could induce the synthesis of terpenes in stems,while the cauterizing treatment might have better effect.Low temperature has negative influence on agarwood formation.For calli,different treatments could induce the terpene synthesis,while MeJA has the best efficacy.
Variabilidad del gen nuclear G3pdh en Jatropha curcas L.

Jatropha curcas L. es una especie nativa de America tropical; en nuestro pais se ha venido utilizando principalmente como medicinal y alimenticia desde la epoca pre-hispanica. Actualmente el aceite extraido de sus semillas ha adquirido importancia internacional ya que puede ser transformado a biodiesel. El conocimiento que existe sobre la variabilidad genetica de la especie es escaso. Un gen utilizado con exito para el estudio de patrones de variacion y origen de la yuca ( Manihot esculenta L.) y del caco ( Theobroma cacao L.) es el gen nuclear G3pdh (Gliceraldehido 3 fosfato deshidrogenasa) involucrado en la fotosintesis. Con base en ello, en este trabajo se exploro la variabilidad del gen G3pdh en individuos de J. curcas provenientes de 15 poblaciones de los estados de Veracruz, Campeche, Yucatan y Quintana Roo. Para obtener el gen G3pdh completo de alrededor de 1000 pares de bases, se amplifico utilizando los primers disenados por Strand et al. (1997) y los dos primers internos reverse disenados por Olsen y Schaal (1999) para obtener segmentos mas cortos, de 600 y 800 pares de bases aproximadamente. Por primera vez se amplificaron aproximadamente 500 pb y los resultados demuestran que el gen G3pdh es
Perceived Competence and Agreeableness Predict Positive Behaviors Toward Mexican Immigrants: Less Acculturated Hispanics are More Welcoming of Immigrants

The resettlement of immigrants who have fled their countries because of dire consequences at home and better opportunities elsewhere, has given rise to a range of prejudices toward them in their host countries. We examined prejudices and discrimination toward immigrants, specifically Mexican immigrants, as a function of their perceived competence and warmth within the context of the Stereotype Content Model. We also examined perceiver’s agreeableness, openness to experience, attitudes and acculturation level, and their links with prejudices toward immigrants. We found that an immigrant’s competence elicited strong and more positive feelings and responses than warmth. More competent immigrants were more likely to be liked and welcomed. Of the Big Five variables, Agreeableness was strongly linked with positive sentiments and actions toward immigrants. However, Attitudes toward immigrants showed the strongest correlations with the criterion variables, of how individuals will feel and intend to behave toward immigrants. Finally, acculturation within Latinos correlated negatively with positive feelings and actions toward immigrants. More acculturated Latinos were less welcoming of immigrants. The findings serve to inform policymakers of the varied prejudices held of immigrants and the types of discrimination they are likely to face in order to help them implement humane policy options.
Production characteristics of high-yielding dairy cows

Understanding the relationships between food intake, milk output and body condition in high-yielding dairy cows is crucial in determining suitable management strategies. During two winter feeding periods 38 and 37 cows were individually fed, to appetite, complete diets which on average contained 11·7 MJ metabolizable energy per kg dry matter and comprised grass silage, concentrate meal and brewers' grains (draff). The groups' mean 305-day yield was 7 240 kg (s.d. 1 281) with 42 g (s.d. 4·3) fat per kg. Regression analysis was carried out to describe dry-matter intake both for 26 weeks post calving and for four successive 6-week periods from calving. The final equations, which had a residual s.d. of 0·07 to 0·10 of the observed intake, included milk yield, cow size and a measure of body-condition change. The cows were divided into three groups (high, medium and low) on two criteria: (1) mean milk yield (MJ/day) during the first 26 weeks of lactation and (2) post-calving backfat index determined ultrasonically. Differences were found between milk-yield groups from gross efficiency (milk yield (MJ)/energy intake (MJ metabolizable energy)) ( P P P P P P P P P P
Extending the MACHO Search to approximately 10 6 M sub sun

The search for a microlensing (changing light-curve) signature of massive compact halo objects (Machos) by the Macho Collaboration is currently believed to be sensitive in the range 10 -7 -10 2 M ⊙ . Microlensing events from higher mass objects last longer than the 4 yr duration of the planned experiments and therefore, according to current beliefs, cannot be distinguished from long-term variables. In fact the signature of Machos in the range 10 2 -10 3 M ⊙ can be distinguished from background events by the annual modulation in light magnification induced by the Earth's motion