Miracle-dz/UniFAR-FTUs huggingface dataset:
Tag clustering algorithm LMMSK: improved K-means algorithm based on latent semantic analysis

With the wide application of Web_2. 0 and social software, there are more and more tag-related studies and applications. Because of the randomness and the personalization in users' tagging, tag research continues to encounter data space and semantics obstacles. With the min-max similarity (MMS) to establish the initial centroids, the traditional K-means clustering algorithm is firstly improved to the MMSK-means clustering algorithm, the superiority of which has been tested; based on MMSK-means and combined with latent semantic analysis (LSA), here secondly emerges a new tag clustering algorithm, LMMSK. Finally, three algorithms for tag clustering, MMSK-means, tag clustering based on LSA (LSA-based algorithm) and LMMSK, have been run on Matlab, using a real tag-resource dataset obtained from the Delicious Social Bookmarking System from 2004 to 2009. LMMSK's clustering result turns out to be the most effective and the most accurate. Thus, a better tag-clustering algorithm is found for greater application of social tags in personalized search, topic identification or knowledge community discovery. In addition, for a better comparison of the clustering results, the clustering corresponding results matrix (CCR matrix) is proposed, which is promisingly expected to be an effective tool to capture the evolutions of the social tagging system.
Remediation of multicomponent dense nonaqueous phase liquids in porous media

PAMELA SCHULTZ BIRAK: Remediation of Multicomponent Dense Nonaqueous Phase Liquids in Porous Media. (Under the direction of Dr. Cass T. Miller.) In 2004, the U.S. EPA estimated that as many as 45,000 former manufactured gas plants (FMGPs) required remediation of contaminated soil or groundwater. The primary contaminants at these sites are tars. FMGP tars are complex, dense nonaqueous phase liquids (DNAPLs), containing several thousand compounds including polycyclic aromatic hydrocarbons (PAHs). PAHs are sparingly soluble, but can dissolve from tars into groundwater at concentrations that exceed levels of concern. Tar DNAPLs can also sink below the water table and slowly migrate underground to impact waterbodies directly. Laboratory studies were conducted to investigate in-situ remediation methods that rely on physical and chemical means. Specifically, column studies were used to evaluate cosolvent flushing for removing PAHs from contaminated soil excavated from an FMGP in Salisbury, NC. These experiments were conducted at varying length scales, ranging from 11.9 to 110 cm. PAH effluent concentrations were modeled using a common two-site sorption model. Fitted mass-transfer rates were two to three orders of magnitude lower than predicted values based on published data. Laboratory studies were also conducted to determine how tar density and viscosity vary as a function of composition and temperature. For this work, samples
Nonlinear Model Predictive Control for Oil Reservoirs Management

In this paper, we describe a novel numerical algorithm for solution of constrained optimal control problems of the Bolza type for stiff and/or unstable systems. The numerical algorithm combines explicit singly diagonally implicit RungeKutta (ESDIRK) integration methods with a multiple shooting algorithm. As we consider stiff systems, implicit solvers with sensitivity computation capabilities for initial value problems must be used in the multiple shooting algorithm. Traditionally, multi-step methods based on the BDF algorithm have been used for such problems. The main novel contribution of this paper is the use of ESDIRK integration methods for solution of the initial value problems and the corresponding sensitivity equations arising in the multiple shooting algorithm. Compared to BDF-methods, ESDIRK-methods are advantageous in multiple shooting algorithms in which restarts and frequent discontinuities on each shooting interval are present. The ESDIRK methods are implemented using an inexact Newton method that reuses the factorization of the iteration matrix for the integration as well as the sensitivity computation. Numerical experiments are provided to demonstrate the algorithm.
Police are People Too: Cognitive Obstacles to, and Opportunities for, Police Getting the Individualized Suspicion Judgment Right

Some Fourth Amendment scholars have embraced the idea that the courts should defer to police judgments about reasonable suspicion and probable cause. The primary argument for deference is that much police reasoning is intuitive and unconscious, thus not accessible to systematic analysis. Yet, the argument continues, intuition is often more reliable than conscious thinking. This article examines this claim by exploring in depth the cognitive biases and abilities that serve respectively as obstacles to, and opportunities for, police making accurate judgments about individualized suspicion. The article concludes that requiring police consciously to justify their intuitions can improve their accuracy, that the greatest accuracy comes from constructing institutions in a way that combines the best of unconscious intuition with more systematic critique, and that police training can be improved in various ways to enhance cognitive accuracy about the individualized suspicion judgment.
A new computational model and its discipline of programming

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. A new computational model and its discipline of programming Jean-Pierre Banâtre, Daniel Le Métayer
Caracterização sensorial de ovos de codorna submetidos a diferentes processos de conservação

Objetivou-se avaliar a aceitação sensorial e a intenção de compra de três diferentes conservas de ovos de codorna. Foram avaliados três tratamentos/formulações de conserva de ovos de codorna: Tratamento1 (vinagre e sal); Tratamento 2 – Vinagre, sal e azeite; Tratamento 3 – Defumação. Foram realizados dois testes sensoriais das conservas armazenadas por sete e 28 dias, todas mantidas sob temperatura ambiente. Aplicou-se o teste de aceitabilidade e de intenção de compra para no mínimo 50 julgadores não treinados em cada teste, com avaliação dos atributos, cor, odor, sabor e aceitação global, por meio de uma escala hedônica estruturada mista de 9 pontos e julgamento da intenção de compra do produto com escala variando de 1decididamente não compraria a 5 – decididamente compraria. Verificou-se diferença (p<0,05) em ambos os períodos para todos os atributos avaliados (cor, sabor, aroma e impressão global) e intenção de compra, com exceção do primeiro período (7 dias) em que não houve diferença (p>0,05) para o atributo cor. Os ovos de codornas submetidos à defumação obtiveram 73 e 92% da preferência dos provadores (notas de 6 a 9) e grande parte dos provadores (60 e 70%) alegaram que comprariam ovos de codorna defumados em conserva estocados por sete e 28 dias, respectivamente. O processo de defumação confere aos ovos de codorna alta aceitação sensorial, com excelentes índices de aprovação nos atributos avaliados, especialmente quando estocados por 28 dias.
Present and future roles of water and food trade in achieving food security, reducing poverty and water use (part

The development of scarce water resources in the Mediterranean Region has been very important to satisfy the high demands for food, drinking and industrial water of a population that at regional levels has increased substantially. The chapter analyses, in the first part, the past trend of the irrigation development and the future demand. It is evident that irrigation development has contributed substantially to increase the food security. From the point of view of the water resources irrigation development has been and continues to be the largest user. Although irrigation areas have been growing substantially over the last 25 years the possibilities for continue such trend appear small, exception made of few countries, due to scarcity of the water resources. The chapter also reviews the interrelations between poverty, hunger, gender with the development of the water resources and the increased agricultural trade. The scarcity of the water resources has reached alarming levels in several countries of the Region that made a call to reconsider the future options. One of such option is to use agricultural trade as a source to supplement the national agricultural production capacity. But here several options open to countries in terms of deciding what to produce and what to import/export. The concept of virtual water developed in recent years has helped to understand better the implications of trade in terms of water. However, this concept has not yet penetrated the sphere of the trade decision makers. The chapter intends to look further into this possibility by analyzing historical statistical data (production, irrigation areas, net trade and virtual water) of two selected countries (Egypt and Syria) to identify feasible possibilities of modifying the production cropping pattern – and consequently the trade– so that the water resources are used more efficiently. The second part of the chapter focuses on a specific country (Syria) to assess the implications that would have changing the cropping pattern of main crops (wheat, cotton, maize) so that the water resources are used in a more sustainable manner while the income of the farmers do not deteriorate. This analysis is made at farm level and shows that, when attempting such changes, other aspects (labor, environmental consequences and incomes) are also important considerations. The consequences of this change at farm level are extrapolated at the national level to analyze the impact that such changes will have in the agricultural trade and the consequences for the government. The chapter concludes that analyzing trade and production data through water policy lenses provides useful orientations regarding possible changes that can be attempted in the production and trade. However political decisions require consideration of several other factors that affect the production patterns and this may call for detailed studies. Ultimately governments have to make trade off choices between the trade policies and the use of the production factors.
THE ABILITY OF POMEGRANATE TO AMELIORATE SYMPTOMS ASSOCIATED WITH ALZHEIMER'S DISEASE IN AGED TRANSGENIC MICE

Accumulating research has demonstrated that polyphenolic compounds from natural products, such as pomegranate, may have antioxidant and neuroprotective properties in animal models of Alzheimer’s disease (AD). However, the present study explores whether the administration of a pomegranate peel extract could have a rescuing effect on AD pathology in aged transgenic animal models of AD. These mice already have abundant AD pathology since amyloid beta (Aβ) deposition continues with time. Two doses of the extract or a control solution were fed daily to groups of transgenic mice (R1.40), ranging in age from 24-30 months. Treatment and behavioral assessment lasted thirty-seven days total. Mice were tested in the Morris water maze and the Y-maze for improvements in spatial, long-term and working memory functions. This was followed by the measurements of cortical amyloid precursor protein (APP) and Aβ levels along with other relevant biomarkers for AD. The resulting data demonstrated a lack of change in cognitive performance in the mazes, as well as the precursor protein and other enzymes associated with the amyloidogenic pathway. However, biochemical analyses revealed an alteration in the levels and ratio of the Aβ peptides that favored a diminution in AD pathogenesis. This was featured by the lowering of the more amyloidogenic Aβ1-42 peptide and an increase in the Aβ1-40 peptide. Further experiments revealed that this reversal could be the product of the modification of the gamma-secretase enzyme responsible for generating the more amyloidogenic form. In conclusion, pomegranate peel extract appears to contain ingredients that act as gamma-secretase modulators, which may be identified and developed as compounds for use in future drug therapy.
Feature extraction of smiley facial expression based on AU sequence optical flow

Facial expression recognition is widely used in linguistics, medical care, service and so on. But still there exists the problem of accuracy. To solve this problem, , this paper presents an extraction method based on the flow characteristics of facial motion unit for the facial expression recognition. The facial action coding system (FACS) is first applied to extract facial motion unit, and then optional flow method for these areas is used to extract eigenvalue to constitute the signature sequence, finally categorization based on random forests is applied to classify and recognize the smiley facial expression. Experimental results validate the effectiveness of the proposed scheme. INTRODUCTION AND RALEATED WORKS
Prototyping of UHF antennas using simulation software

The method of ultra high frequency is being increasingly applied in the power transformer diagnostics. Using the probe (antenna) mounted inside the transformer tank it is possible to detect partial discharges occurring in defects of high–voltage insulation system. Such probes must be designed and optimized on several factors, such as frequency band, directivity, or the geometrical design etc. This paper presents parameters of two types of antennas (discone and microstrip patch) obtained through simulation. Calculations and simulations results will provide basis to comnstruct the prototypes of the antennas, which will eventually find application in the measurement system used for localisation of partial discharges inside power transformers.
Infrastruktura zrównoważona – rozważania o istocie i cechach w kontekście zrównoważonego rozwoju

Streszczenie: Przyjęta w 2015 r. przez wszystkie państwa członkowskie ONZ Agenda na rzecz zrównoważonego rozwoju stawia duże wyzwania współczesnej infrastrukturze. Od zasobów infrastruktury, a w szczególności jej jakości, zależeć będzie pomyślna realizacja ujętych w agendzie Celów Zrównoważonego Rozwoju (Sustainable Development Goals – SDGs). Mając to na uwadze, jako cel artykułu przyjęto przedstawienie wymagań wobec powstającej współcześnie infrastruktury, która ma wspierać zrównoważony rozwój, czyli posiadać cechy infrastruktury zrównoważonej. Dokonano zatem próby scharakteryzowania tego stosunkowo nowego pojęcia, które wciąż ewoluuje, brakuje bowiem nadal ostatecznych rozstrzygnięć odnośnie do jego interpretacji.
Comparison of Gray Hole Attack in Manet in OLSR Protocol

In this era of wireless devices, Mobile Ad-hoc Network (MANET) has become an indivisible part for communication for mobile devices. Therefore, interest in research of Mobile Ad-hoc Network has been growing since last few years. In this paper we have discussed GRAY Hole attack in OLSR routing protocols in MANET. Security is a big issue in MANETs as they are infrastructure-less and autonomous. Main objective of writing this paper is to apply gray Hole attack in MANET& know How its effect on the MANET Environment. This article would be a great help for the people conducting research on real world problems in MANET security
Processing and Representation of Different Types of Czech Affixes

The study investigates the processing of morphologically complex words in Czech. In Experiment 1 we employed morphological repetition priming to test the Split Morphology Hypothesis, i.e. whether derived and inflected word forms are stored in the same or different manner in the Czech mental lexicon. The results demonstrate significantly larger priming effects for inflected forms compared to derived forms indicating distinct processing of inflection and derivation in Czech; while inflected forms are fully decomposed during language comprehension, derived forms are either not, or only partially. In Experiment 2 we addressed two research questions. First, we tested the psycholinguistic reality of the linguistic distinction between two types of inflective verbal prefixes: (a) “purely” inflective aspectual prefixes (i.e. the prefix turns an imperfective verb into a perfective one as in hřešit (imp.; ‘to sin’) — zhřešit (perf.)) and (b) derivational verbal prefixes (e.g. krátit (imp.; ‘to shorten’) — zkrátit (perf.)). The results did not indicate any evidence that this distinction would be psycholinguistically grounded. Second, we examined the role of semantic transparency of the derivational prefixes in the processing. The experiment delivered evidence of slower processing of opaque derived verbs, most likely caused by double search/reanalysis.
Prevalence and Risk Factors of Sexually Transmitted Infections in Selected Health Facilities in Southwest Region of Cameroon

Background: Gonorrhoea and Syphilis are common STIs, particularly among the reproductive age group in most developing countries. Their control is important considering the high incidence of acute infections, complications and their socioeconomic impact and a means of effecting control measures against Human Immunodeficiency Virus (HIV). Knowledge of the prevalence and risk factors of these infections in a student residential area will enable development of better strategies for STI control. Methods: A health facility based historical study design was conducted where laboratory records of patients screened for Syphilis and/or Gonorrhea and HIV in selected Primary Health Care (PHC) facilities in Buea Health District (BHD) between 2010 and 2015 were reviewed. Data analysis was done using EPI Info version 3.5. 4. with a level of error set at 5%. Results: A total of 1106 records were reviewed. Majority 472(42.7%) were between 21-30 years old, while 923(83.4%) were females. A significant proportion 78 (8.1%) were HIV positive. The prevalence of the both STIs was highest in 2015. The prevalence of gonorrhoea was 12.9% and that of syphilis was 16.9%. The odds of testing positive for syphilis for female compared to males was 0.33 (95% CI: 0.18-0.62); p-value of 0.001, while that for gonorrhoea was 0.22 (95%CI: 0.11, 0.44); p-value of 0.0001. Patients between 21 and 30 years were 2.46 times as likely to be syphilis positive compared to those below 21. Compared to those tested positive, patients who were negative for were 3.33 (95%CI 1.66-6.69) times as likely to test negative for HIV (p value of 0.001). Conclusion: The study revealed a high prevalence of gonorrhoea and syphilis. Although these infections have similar risk factors, there are distributed differently in the sexually active student residential area. This thus calls for the implementation of targeted screening and to revise control measures for STIs in the population.
The Internet of Robotic Things

The Internet of Robotic Things is an emerging vision that brings together pervasive sensors and objects with robotic and autonomous systems. This survey examines how the merger of robotic and Internet of Things technologies will advance the abilities of both the current Internet of Things and the current robotic systems, thus enabling the creation of new, potentially disruptive services. We discuss some of the new technological challenges created by this merger and conclude that a truly holistic view is needed but currently lacking.
FACTORS AFFECTING STRATEGIC DECISION MAKING: A Research in International Transportation Sector Enterprises

Mehmet Nedim UYGUR Öğr. Gör. Şırnak Üniversitesi Silopi Meslek Yüksek Okulu nedimmehmet@hotmail.com ORCID ID: 0000-0003-1148754X ÖZ Stratejik karar verme, rekabette sadece mevcut pozisyonu koruma değil, gelecek pozisyonu yaratma potansiyeli ile birlikte düşünülür. Ancak gelecek pozisyonu yaratmak zorlu bir süreç içerir, ya da stratejik karar verme sürecinin kuramsal ve uygulama olarak ifade edilmesi kolay değildir. Bunun en başat nedeni, süreci etkileyen faktörlerin çokluğu, çeşitliliği ve niteliğidir.
Distributed Ensemble Learning With Apache Spark

Apache Spark is a new framework for distributed parallel computation for big data. Is has been shown that apache spark can execute applications up to 100 times faster than Hadoop. Spark can show these speedups in iterative applications, such as machine learning, when the data is cached in memory. Big data does however make this difficult due to the sheer volume. In this thesis I attempt to address this issue by training multiple models using Spark, and combining their output results. This is called Ensemble Learning and can reduce the required primary memory for big data machine learning and potentially speeding up training and classification times. To assess Sparks usability in Big Data Machine Learning, a large, unbalanced dataset was used to train an ensemble of Support Vector Machines. The assessment was based on the performance of the ensemble as well as both the weak and strong scaling of the applications required to implement ensemble learning in Apache Spark.
Bidirectional Testing of Communicating Systems

This report presents a new tool called SessionCheck. This tool helps programmers write distributed applications that work correctly. SessionCheck is designed to help rid programmers of the tedium of maintaining more than one speci cation and test suite for multiple application components. SessionCheck does this by borrowing ideas from session types [14] and domain speci c languages in order to provide a simple yet expressive and compositional speci cation language for communication protocols. Speci cations written in the SessionCheck speci cation language can be used to test both client and server implementations of the same protocol in a completely language-agnostic manner.
Comparison of peer-tutoring learning model through problem-solving approach and traditional learning model on the cognitive ability of grade 10 students at SMKN 13 Bandung on the topic of Stoichiometry

This study aims to find out the improvement of cognitive ability of students on the implementation of cooperative learning model of peer-tutoring by using problem-solving approach. The research method used is mix method of Sequential Explanatory strategy and pretest post-test non-equivalent control group design. The participants involved in this study were 68 grade 10 students of Vocational High School in Bandung that consisted of 34 samples of experimental class and 34 samples of control class. The instruments used include written test and questionnaires. The improvement of cognitive ability of students was calculated using the N- gain formula. Differences of two average scores were calculated using t-test at significant level of α = 0.05. The result of study shows that the improvement of cognitive ability in experimental class was significantly different compared to the improvement in the control class at significant level of α = 0.05. The improvement of cognitive ability in experimental class is higher than in control class.
Modelling for Value Systems in a Diverse Online Program in the Caribbean

The authors present a conceptual framework to guide the participation of students in an online instructional design program. The online program has socio-cultural influencing factors that confound the already diverse nature of the offering. The framework intends to encourage a value system for students that can be used to guide their knowledge and performance as they pursue the tenets of the field of instructional design. Elmore's mode of leadership, Bourdieu's theory of habitus and Hofstede's cultural dimensions theory are used to create a foundation for the framework whilst acknowledging the complexities of the diverse environment. The framework supports and acknowledges the knowledge expected of novice instructional designers through the use of guides whilst acknowledging the systemic and systematic individualistic change processes that will occur.