Miracle-dz/UniFAR-FTUs huggingface dataset:
An Approach to Improving Diversity of Neural Network Ensemble

Ensemble learning has become one of research fields of machine learning,it dramatically improves generalization performance of classifier.After analyzing ensemble approach to both Bagging and Adaboost,we point out their some flaws.Then we present a novel approach to neural network ensemble,called DBNNE below.In this method,a diverse data set is generated to increase ensemble diversity.Moreover,to ensure high accuracy of ensemble,we test performance of ensemble when a classifier is added to ensemble . Finally,we experiment on ten representative data sets.The results show that DBNNE achieves higher predictive accuracy than Bagging and AdaBoost on small data sets and comparable performance on larger data sets.
Clustering-Based Optimal Perforation Design Using Well Logs

Abstract In an effort to better understand the well performance in one of the Chevron’s assets in San Joaquin Valley, a study was conducted to evaluate the perforation strategies and capture best practices. Well completion through perforation is typically performed using bare essential technology such as wireline logs and perforation guns. For basic reservoir formations, simple rules-of-thumb are used for perforation spacing and interval lengths. These are rarely validated by other methods, such as production logging and micro-seismic monitoring. For more challenging lithology, a more appropriate approach would be to place perforation clusters in target formations with similar properties. The research presents an efficient use of fuzzy clustering technology for identification of the optimum perforation strategy in a challenging waterflood diatomite reservoir. The methodology was applied on all newly drilled wells in the reservoir (within the last two years), and we found that this new approach improved our understanding over previous practices, not only by designing optimum perforations, but also an increased production was observed. Cluster analysis is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar to each other (in some sense or another) than to those in other clusters. There are two commonly used types of clustering methods: hard and fuzzy clustering. In hard clustering, data is divided into distinct clusters, where each data element belongs to exactly one cluster. In fuzzy clustering, data elements can belong to more than one cluster, and associated with each element is a set of membership levels. The fuzzy clustering algorithm, also known as Fuzzy C-Mean (FCM) algorithm, was applied to log data of wells from different areas of a reservoir. Based on the clustering results, the workflow then identified whether the perforation was performed on “good” regions (sand) or on “bad” regions (shale bedding). This information allowed the evaluation of the perforation jobs executed and also allowed capturing best practices and design changes for future well completions. The case study presents a simple, yet efficient workflow to extract additional information from logs and improve completion strategies and perforation design. The methodology is flexible and can be applied to any well where complex lithology creates a challenge in defining the optimum perforation intervals
Bi-Plane X-ray coronary 3D reconstruction for flow velocity assessment

In coronary angiography the coronary blood flow velocity can be assessed by tracking a contrast agent in an image sequence. The contrast agent flow velocity is used to estimate the functional behavior of the coronary arteries using TIMI frame count (TFC). In this paper we descibe the 3D reconstruction algorithm used in our method towards the automation of TFC. The method creates a two dimensional map of the contrast agent in which the opacification of the vessel centerline is plotted against time. This map is used to find the velocity of the contrast agent and subsequently the TFC. The vessel centerline is obtained using the Fast Marching Method to find the minimum cost path between the catheter point and the end of the vessel. The determination of the start and endpoint is estimated using a 3D model reconstructed from bi-plane 2D image data. The final reconstructed coronary model only includes the segments matching our error criterion.
Influence of Fitness Qigong (Baduanjin) on Blood Lipid and Physiological Function of the Elder Male People

This paper investigates the influences of different exercise methods on the blood lipid and Physiological Function of the elder male people.The subjects of this experiment are 60 eld- er male people who were divided into 3 groups randomly:exercise group,jogging group and control group.The result shows that after practicing fitness Qigong(Baduanjin)for 3 months, those indexes such as TG and LDL-C in serum decrease and the HDL-C in serum increases re- markably(P0.01). The vital capacity,grip force,time span of standing with a single leg with eyes closed improve remarkably(P0.01). Meanwhile,as far as the jogging group is concerned,The TC,TG,HDL-C,LDL-C in serum change remarkably(P0.01). The dias- tolic pressure decrease remarkably(P0.05)and the vital capacity improve obviously(P0.01). It concludes that the two methods have effects of reducing the blood lipid and impro- ving the physiological function of the elder male people.
Testing English Collocations : Developing Receptive Tests for Use with Advanced Swedish Learners

The research reported in this thesis has two main aims. The first aim is to develop tests capable of yielding reliable and valid scores of receptive knowledge of English collocations as a single construct, for use with advanced L2 learners of English. Collocations are seen as conventionalized, recurring combinations of words, and the targeted types are adjective + NP and verb + NP. The second aim is to chart the levels of receptive collocation knowledge in advanced Swedish learners of English, and investigate the relationship between receptive collocation knowledge, vocabulary size, and learning level. In a series of seven empirical studies, involving students of English in Sweden as well as native speakers of English, the two main aims of the thesis are addressed through three research questions. The informants in Sweden are L2 learners of English at upper-secondary school and university level, who have had 8 and 11 years of classroom instruction in English. The results show that the two tests developed - called COLLEX and COLLMATCH - yield reliable scores, and show evidence of different types of validity, such as construct validity, concurrent validity, and face validity. Further investigation is needed in terms of content validity, and certain lingering problems are identified with regard to ceiling effects. It is furthermore shown that a) scores on COLLEX and COLLMATCH increase as a function of learning level, b) the two tests discriminate well between learners of different proficiency levels, and between learners and native speakers of English, and c) scores on COLLEX and COLLMATCH correlate highly with scores on a receptive vocabulary size test. The results suggest that there is a close relationship between advanced learners? vocabulary size and receptive collocation knowledge. The difference in receptive collocation knowledge between higher and lower proficiency learners is argued to stem from a dominating conceptual processing mediation of L2 forms through L1 forms for the lower proficiency learners, coupled with less exposure to the target language. The results also suggest that 4-6 months of full-time university-level studies are not enough for a measurable increase in receptive collocation knowledge to emerge. There is furthermore evidence to suggest that there is a progression in receptive collocation knowledge concomitant of learning level, overall language proficiency, and vocabulary size. This arguably favours a great deal of language exposure as an important factor for implicit acquisition of collocations, in addition to explicit instruction. COLLEX and COLLMATCH are quick to administer, hold appeal with test-takers, and so long as their limitations are noted they may be used as tests of receptive collocation knowledge, both as proficiency tests and as research tools.
Web-based translation for promoting language awareness

This chapter reports on a study that explored how students in a Spanish conversation course worked collaboratively to evaluate sentences translated from English to Spanish by a Web translation site. An analysis of language-related episodes (Swain a Lapkin, 1998) indicated that learners’ offline collaborative dialogue provided opportunities to become aware of and to correctly solve many of the grammatical and lexical problems in the translations. Recommendations for adapting this study’s task in order to show affordances and limitations of translation tools for reading and writing are provided. This chapter also analyzes translations from English to Spanish using selected parts of speech in different morphosyntactic environments to compare the overall quality of three Web translation sites. Future research could examine two or more grammatical features such as tense, mood, or aspect, the effectiveness of translations of idiomatic expressions and false cognates, or the quality of online translations of narratives, expository texts, and other genres.
Character Metaphors in George Orwell’s Animal Farm

Animal Farm was written by George Orwell in 1944 to criticize the Soviet Union leaders and their administration represented by animal characters. The objective of this study was to find out the resemblances between the character of Soviet Union leaders at the time the novel was written and those depicted in the novel. In analysing the objective of this study, content analysis was used. The data are the dialogues and other information in the novel concerning the metaphors of characters between the Soviet Union leaders of the 20th century and those in Animal Farm. The writer finds out that Jones metaphors Nicholas II, the last Tsar of Russian Monarchy, Old Major with his speech metaphors Karl Marx with his Communist Manifesto, Napoleon as Stalin, Snowball as Trotsky, Squealer as Pravda, the Russian Newspaper at that time, Frederick as German and Boxer as the type of gullibility proletariat. Indeed, George Orwell’s timeless work reminds us that totalitarianism could be harmful to one society.
Integrated Approach to Filter Design for Grid Connected Power Converters

Design of filters used in grid-connected inverter applications involves multiple constraints. The filter requirements are driven by tight filtering tolerances of standards such as IEEE 519-1992–IEEE Recommended Practices and Requirements for Harmonic Control in Electrical Power Systems and IEEE 1547.2-2008–IEEE Application Guide for IEEE Std 1547, IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems. Higher order LCL filters are essential to achieve these regulatory standard requirements at compact size and weight. This objective of this thesis report is to evaluate design procedures for such higher order LCL filters. The initial configuration of the third order LCL filter is decided by the frequency response of the filter. The design equations are developed in per-unit basis so results can be generalized for different applications and power levels. The frequency response is decided by IEEE specifications for high frequency current ripple at the point of common coupling. The appropriate values of L and C are then designed and constructed. Power loss in individual filter components is modeled by analytical equations and an iterative process is used to arrive at the most efficient design. Different combinations of magnetic materials (ferrite, amorphous, powder) and winding types (round wire, foil) are designed and tested to determine the most efficient design. The harmonic spectrum, power loss and temperature rise in individual filter components is predicted analytically and verified by actual tests using a 3 phase 10 kW grid connected converter setup. Experimental results of filtering characteristics show a good match with analysis in the frequency range of interconnected inverter applications. The design process is streamlined for the above specified core and winding types. The output harmonic current spectrum is sampled and it is established that the harmonics are within the IEEE recommended limits. The analytical equations predicting the power loss and temperature rise are verified by experimental results. Based on the findings, new LCL filter combinations are formulated by varying the net Lpu to achieve the highest efficiency while still meeting the recommended IEEE specifications.Thus a design procedure which can enable an engineer to design the most efficient and compact filter that can also meet the recommended guidelines of harmonic filtering for grid-connected converter applications is established.
The KDD process for extracting useful knowledge from volumes of data

AS WE MARCH INTO THE AGE of digital information, the problem of data overload looms ominously ahead. Our ability to analyze and understand massive datasets lags far behind our ability to gather and store the data. A new generation of computational techniques and tools is required to support the extraction of useful knowledge from the rapidly growing volumes of data. These techniques and tools are the subject of the emerging field of knowledge discovery in databases (KDD) and data mining. Large databases of digital information are ubiquitous. Data from the neighborhood store’s checkout register, your bank’s credit card authorization device, records in your doctor’s office, patterns in your telephone calls, and many more applications generate streams of digital records archived in huge databases, sometimes in so-called data warehouses. Current hardware and database technology allow efficient and inexpensive reliable data storage and access. However, whether the context is business, medicine, science, or government, the datasets themselves (in raw form) are of little direct value. What is of value is the knowledge that can be inferred from the data and put to use. For example, the marketing database of a consumer U s a m a F a y y a d ,
Mental Health and Substance Use Comorbidity Among Adolescents in Psychiatric Inpatient Hospitals: Prevalence and Covariates

This study examines the mental health (MH) and substance use (SU) diagnoses comorbidity in inpatient adolescents and explores the relationship between demographic and environmental covariates. It analyzes 2008 data of 9,154 adolescents ages 11 to 17 in psychiatric hospitals. Twenty-five percent of adolescents had dual diagnosis. Comorbidity differences between boys and girls occurred as they grew older. Boys with conduct disorder (CD) were 1.6 times more likely than girls with the same diagnosis to use alcohol. Hispanics with CD had 2 to 3.5 times increased risk of comorbidity. The study yields specificity in various MH and SU subgroups vital for prevention services and program planning.
Physical Security Systems Handbook The Design And Implementation Of Electronic Security Systems

Thank you for reading physical security systems handbook the design and implementation of electronic security systems. Maybe you have knowledge that, people have look hundreds times for their chosen novels like this physical security systems handbook the design and implementation of electronic security systems, but end up in harmful downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they cope with some infectious bugs inside their desktop computer.
The roles of reproductive function, body composition, and metabolic status in bone health of young exercising women

Although exercise among girls and women is beneficial for overall health and well-being, the development of an energy deficiency as a result of inadequate energy intake to compensate for exercise energy expenditure can lead to menstrual dysfunction. It has been established that it is not the stress of exercise that causes reproductive dysfunction; rather, in an attempt to conserve energy, metabolic adaptations triggered by an energy deficiency alter the normal production and pulsatility of reproductive hormones at all levels of the hypothalamic-pituitary-ovarian (HPO) axis. As such, estrogen and progesterone concentrations decline resulting in a spectrum of exerciseassociated menstrual disturbances (EAMD). The spectrum of EAMD includes the severe menstrual disturbances, amenorrhea and oligomenorrhea, which are easily detected by the absence of menses for at least 3 months or long, inconsistent cycles of 36-90 days, respectively. Less severe EAMD include luteal phase defects and anovulation which typically occur within regular intermenstrual intervals, thereby causing these disturbances to often remain undetected. Suppressed follicular growth and oocyte maturation, poor endometrial quality, spontaneous abortion, and infertility are all clinical reproductive consequences of EAMD. However, EAMD can be prevented by maintaining a healthy body weight and an energy replete state. Likewise, effective non-pharmacological treatment of EAMD includes an increase in caloric intake and weight gain to reverse the
Composés phénoliques du raisin et du vin et santé

En 1992, le Groupe Amorim a cree l'Academie Amorim, un lieu d'echanges entre oenologues, ingenieurs, professeurs, sommeliers, auteurs, artistes. tous animes d'une meme passion du vin. Chaque annee, cette Academie encourage et soutient la recherche en oenologie par la remise d'un Prix a un chercheur ou a une equipe de chercheurs ayant fait paraitre des travaux significatifs qui concourent a la defense de la qualite du vin. Cette annee, une « Mention d'Honneur » a ete decernee aux travaux d'une equipe, reunissant des chercheurs americains et francais, sur les liens controverses du vin et de la sante. De nombreuses enquetes epidemiologiques realisees au cours des vingt dernieres annees dans les pays industrialises ont confirme que les populations consommatrices de vin presentaient des taux bas de mortalite par les maladies cardio-vasculaires.
The Relative Productivity of Cooperation and Competition

Summary The conflicting findings of previous investigations regarding the relative productivity of cooperation and competition were probably due to the confounding of cooperative and competitive variables. On the basis of an algebraic model, it was hypothesized that group productivity decreases in the following order: Intragroup cooperation with intergroup cooperation, intragroup cooperation without reference to another group, intragroup cooperation with intergroup competition, intragroup competition with intergroup cooperation, intragroup competition without reference to another group, and intragroup competition with intergroup competition. The six experimental conditions were created by differential instructions to 240 high school students concerning payoff systems in a card game. As hypothesized cooperation was found to be significantly more productive than competition both in the intragroup (p < .01) and intergroup (p < .05) conditions. The findings also confirmed in general the productivity order hyp.
An Effective Algorithm of Jobs Scheduling in Clusters

It has been a central research topic to schedule job over appropriate computing nodes of clusters in the research of cluster computing so far. In existing researches about such topic, the FCFS algorithm (First-Come-First-Served Algorithm) is commonly used due to its simplicity. Backfilling scheduling that small jobs are moved ahead in the schedule can fill the resources gap that is generated by FCFS. However, existing backfilling scheduling algorithms are only available for one queued job backfilled to schedule and generate waste of some resource gaps. In this paper, the problem of the parallel job scheduling in clusters is studied. We present an efficient and effective algorithm based combinational backfilling strategy, which can select multiple jobs combined from the waiting job queue to backfill to maximize the use of idle resources. An empirical study verifies that our algorithm can attain the lower average waiting time of jobs and higher utilization of resources than existing representative backfilling algorithms.
Design of the Journaling File System for Performance Enhancement

Summary In this paper, I developed for the purpose of ensuring stability in the data processing of the file to save space. If the file is writethrough compression techniques give the effect to reduce storage space. In the result, we can save storage space on small embedded systems to maximize the capacity is used. This paper was implemented using the ext3 file system of the Linux Operating System. The compression algorithm was implemented in ext3 file system. EXT3 journaling file system through selective compression algorithm prevents the performance degradation and uses the available storage space efficiently. In experiment, the time consuming for compression does not take so long. It shows that the selective compression algorithm is better on space-efficient vs. time-consuming.
High Performance Multi-Core for Communication and Multimedia Applications

Two multi-core processors are implemented in 65nm CMOS. One is a 16-core processor integrating both message-passing and shared-memory inter-core communication mechanisms. The other is a 24-core processor with packet controlled circuit-switched double-layer Network-on-Chip and heterogeneous execution array for specific applications. The 16-core processor occupies 9.1mm 2 and operates fully functional at a clock rate of 750MHz at 1.2V with typical power dissipation of 34mW per core. While the 24-core one occupies 18.8 mm 2 and the clock frequency is improved to 850MHz at 1.2V with power consumption reduced to 22mW per core. LTE digital baseband and H.264 baseline intra decoder are implemented on the two multi-core processors with demonstration platform.