Miracle-dz/UniFAR-FTUs huggingface dataset:
A Database Query Processing Model in Peer-To-Peer Network

Peer-to-peer databases are becoming more prevalent on the internet for sharing and distributing applications, documents, files, and other digital media. The problem associated with answering large-scale ad hoc analysis queries, aggregation queries, on these databases poses unique challenges. This paper presents an extensive evaluation of database query processing model in peer-to-peer networks using top- k query processing technique and implemented by Java,and MySql. Keywords : Peer-To-Peer Network; Database Query; Query Processing; Object-Oriented Systems
Information Entropy Theory Applied to the Dip-Phenomenon Analysis in Open Channel Flows

The knowledge of the fluid discharge in free surface flows requires a great number of velocity measurements along the whole cross-section, taking up a large amount of time, using expensive equipment, and employing specialized labor. To overcome these obstacles, various models have been developed thus far that show how to estimate the mean velocity through the maximum velocity. In three-dimensional open channels, the maximum velocity can be located below the free surface because of the presence of secondary flows mainly originating by the sidewalls, an occurrence known as dip-phenomenon. In this condition, predicting the maximum velocity position is quite difficult and has always represented a challenge to most hydraulic engineers and researchers. In the present study, a mathematical model derived from the information entropy theory is proposed to evaluate the velocity-dip-position over the entire cross-section of both wide and narrow open channels, thus overcoming the limitations of the existing methods. Large literature measurement sets, collected in uniform and non-uniform flows, were used to test the validity of the model, showing good agreement with the experimental data and providing an accurate estimation of the dip-position.
Evaluación de la calidad e inocuidad de quesos frescos artesanales de tres regiones de una provincia de Cuba

Se evaluo la calidad e inocuidad en quesos frescos artesanales de tres regiones de una provincia de Cuba. Se analizo un total de 73 muestras colectadas de forma aleatoria. Los componentes grasa, proteina y lactosa, por ciento de humedad, contenido de solidos totales y sales fueron determinados mediante el equipo FoodScanLab®. El conteo de microorganismos totales, coliformes totales, Escherichia coli, Staphylococcus aureus; asi como, hongos y levaduras se realizo mediante placas Rida Count (R-Biopharm®). La determinacion de Salmonella spp. , Escherichia coli O157 y Listeria monocytogenes se efectuo por aislamiento en medios de cultivo selectivos. El contenido de humedad se encontro por encima del 36%, mientras que los valores de grasa y proteina se encontraron superiores al 30 y 20%, respectivamente. El conteo de microorganismos a 30oC y coliformes totales fueron superiores a 5x103 UFC/g y 5x102 UFC/g en los quesos de las tres zonas estudiadas. El contenido de Staphylococcus coagulasa positivo se encontro por encima de 1x103 UFC/g y el conteo de Escherichia coli mostro valores superiores a 1x103 UFC/g. El conteo de hongos y levaduras mostro valores superiores a 5x103 UFC/g. En el 19% de las muestras analizadas se detecto la presencia de Salmonella spp. y en el 14% estaba presente Escherichia coli O157. Los resultados demostraron que la calidad nutricional de los quesos se encontro en correspondencia con lo establecido en las normas de quesos frescos aprobadas en la region de Latinoamerica, mientras que el deterioro microbiologico puede encontrarse asociado a problemas higienico sanitarios por contaminacion con bacterias patogenas como Salmonella spp. , que evidencian la deficiente calidad e inocuidad de los quesos frescos analizados.
Mapping Coarse Woody Debris with Random Forest Classification of Centimetric Aerial Imagery

Coarse woody debris (CWD; large parts of dead trees) is a vital element of forest ecosystems, playing an important role in nutrient cycling, carbon storage, fire fuel, microhabitats, and overall forest structure. However, there is a lack of effective tools for identifying and mapping both standing (snags) and downed (logs) CWD in complex natural settings. We applied a random forest machine learning classifier to detect CWD in centimetric aerial imagery acquired over a 270-hectare study area in the boreal forest of Alberta, Canada. We used a geographic object-based image analysis (GEOBIA) approach in the classification with spectral, spatial, and LiDAR (light detection and ranging)-derived height predictor variables. We found CWD to be detected with great accuracy (93.4 ± 4.2% completeness and 94.5 ± 3.2% correctness) when training samples were located within the application area, and with very good accuracy (84.2 ± 5.2% completeness and 92.2 ± 3.2% correctness) when training samples were located outside the application area. The addition of LiDAR-derived variables did not increase the accuracy of CWD detection overall (<2%), but aided significantly (p < 0.001) in the distinction between logs and snags. Foresters and researchers interested in CWD can take advantage of these novel methods to produce accurate maps of logs and snags, which will contribute to the understanding and management of forest ecosystems.
About Notiophilus Duméril, 1806 (Coleoptera, Carabidae): Species delineation and phylogeny using DNA barcodes

The genus Notiophilus Duméril, 1806 is a distinctive taxon of small, diurnal and morphologically similar beetles exhibiting large eyes and widened second elytral intervals. In this study we analysed the effectiveness of DNA barcodes to discriminate 67 specimens that represent 8 species of Notiophilus from Central Europe. Interspecific K2P distances below 2.2% were found for N.biguttatus (Fabricius, 1779) and N.quadripunctatus Dejean, 1826, whereas intraspecific distances with values > 2.2% were revealed for N.rufipes Curtis, 1829. An additional phylogenetic analysis of all available species revealed a close relationship of N.directus Casey, 1920, N.semistriatus Say, 1823, N.simulator Fall, 1906 and N.sylvaticus Dejean, 1831, possibly indicating a radiation of these species in North America. Low support values of most other nodes, however, do not allow additional phylogenetic conclusions.
EXPLORATION OF EFFICIENT METHODOLOGIES FOR THE IMPROVEMENT IN WEB MINING TECHNIQUES: A SURVEY

Web mining is the application of data mining techniques to extract knowledge from the Web. Web mining techniques may be useful to automatically discover and extract meaningful information from Web documents. It is one of the prominent research area whose results mainly depend upon the proper preparation of the data from the Web logs. The web log data can be collected from Web servers, Proxy servers and Web clients. In this paper we have shown how web mining is implemented to obtain useful information through Web. We have also tried to identify the research area in Web mining where further work can be continued.
A life course perspective to abortion in Finland

Induced abortion is an understudied topic in part because of a lack of reliable data due to underreporting of abortion in surveys. The debate about whether teen pregnancies push women into socioeconomic disadvantage would benefit from longer follow-up periods and reliable data. This thesis studies which socio-demographic characteristics are associated with the likelihood of abortion, provides more precise estimates than previous studies on the socioeconomic risk factors of repeat abortion, and examines socioeconomic outcomes of women with different teen pregnancy histories. I use register data over the reproductive life span of Finnish women born in 1955–59, 1965–69 and 1975–79 (N=274,908). There is no underreporting of abortion in these data. The thesis consists of four sub-studies. The first examined the socioeconomic gradient in the risk of first abortion using event-history analysis. Low education was associated with higher risk of abortion and the gap increased over time. Selection into education and varying access to family planning services were the likely mechanisms. The second study found an educational gradient in the likelihood of repeat abortion, which has become more common over time, indicating a need of an intervention. The third sub-study examined the association between the timing of abortion and union dissolution using multi-process modelling. There were correlated unobserved characteristics associated with both unstable relationships and a higher likelihood of an abortion. Finally, I compared socioeconomic outcomes of women who had a birth, an abortion, or no pregnancy in adolescence. Results using the Karlson-Holm-Breen mediation method showed teen abortion did not mediate the relationship between parental and own socioeconomic position but teen birth did through accumulation of disadvantage. Overall the results show there is a group of women who do not benefit from contraceptive services as much as others. These findings are of importance, as reliable information on abortion is not typically available.
Research on Improved RGB-D SLAM Algorithm based on ORB Feature

The research content of this paper is the contrast experiment of the improved RGB-D SLAM algorithm and the classical RGB-D SLAM algorithm, RGB-D SLAM V2, ORB SLAM algorithm in their real-time feature and accuracy, to verify the effectiveness and superiority of the improved algorithm. Firstly, the improved front-end, loop detection and back-end modules are integrated into the classical RGB-D SLAM framework to form an improved RGB-D SLAM system. Then the TUM data set is simulated, and the evaluation criteria are front-end time, trajectory error, and building visibility. Experimental results on standard datasets show that the improved algorithm can achieve even better results than the existing mature algorithms.
Hierarchical Message Stability Tracking Protocols

Protocols which track message stability are an important part of reliable multicast protocols in fault-tolerant distributed systems. To reliably deliver multicast messages in a process group, each process maintains copies of all messages it sends and receives. If a member fails to receive a message, any process which has the message in its buffer can retransmit it. In order to prevent these buffers from growing out of bound, stability tracking protocols must be used. That is, whenever a process learns that a message has been received by everyone, it declares this message {\it stable} and releases it from the buffer. We investigate several message stability tracking protocols commonly used in a number of popular reliable multicast protocols with a focus on their performance in large scale settings with thousands of participants. To improve the scalability of these protocols significantly, we derive a set of new protocols using a spanning tree structure which scale to at least tens of thousands of participants.
Autonomous Military Robotics: Risk, Ethics, and Design

Abstract : Imagine the face of warfare with autonomous robotics: Instead of our soldiers returning home in flag-draped caskets to heartbroken families, autonomous robots-mobile machines that can make decisions, such as to fire upon a target, without human intervention-can replace the human soldier in an increasing range of dangerous missions: from tunneling through dark caves in search of terrorists, to securing urban streets rife with sniper fire, to patrolling the skies and waterways where there is little cover from attacks, to clearing roads and seas of improvised explosive devices (IEDs), to surveying damage from biochemical weapons, to guarding borders and buildings, to controlling potentially-hostile crowds, and even as the infantry frontlines. These robots would be 'smart' enough to make decisions that only humans now can; and as conflicts increase in tempo and require much quicker information processing and responses, robots have a distinct advantage over the limited and fallible cognitive capabilities that we Homo sapiens have. Not only would robots expand the battlespace over difficult, larger areas of terrain, but they also represent a significant force-multiplier-each effectively doing the work of many human soldiers, while immune to sleep deprivation, fatigue, low morale, perceptual and communication challenges in the 'fog of war', and other performance-hindering conditions.
Improved Anode Two-Phase Mass Transfer Management of Direct Methanol Fuel Cell by the Application of Graphene Aerogel

The main purpose of this paper is to utilize the intrinsic hydrophobicity and microstructure of graphene aerogel to construct a novel anode two-phase mass transfer structure for passive micro direct methanol fuel cell. Compared with its traditional counterpart composed of carbon black and poly(tetrafluoroethylene), the anode gas diffusion layer based on graphene aerogel holds some greatly improved microstructures, which contributes to an excellent gas–liquid mass transfer management. During discharge, smaller, more evenly distributed bubbles of CO2 fill in the pores of the three-dimensional structure of graphene aerogel and form a convection in the opposite direction of methanol transport, increasing the mass transfer resistance of methanol without causing a loss of effective reaction area. A methanol crossover test system is specifically designed to verify the effect of CO2 on reducing methanol crossover under operation. As a result, an increase of more than 20% in the output power density and a signific.
Effects of earthworms on bulk density: A meta‐analysis

Although a comprehensive understanding of soil systems is needed to sustain soil functioning, our scientific knowledge of the underlying processes, for example, on the impact of earthworm activity on bulk density, is still limited. Using meta‐analysis, we quantified earthworm effects on bulk density and investigated the influence of driving factors. Earthworm effect sizes were species‐specific and depended on soil texture and earthworm body mass. Effect sizes were not unambiguously dependent on ecological groups, land use, experimental duration, abundance or initial bulk density. The paucity of data did not allow testing of interactive influences through meta‐analysis. Consequently, this study reveals important knowledge gaps in our understanding of earthworm effects on bulk density. Comparative studies taking the soil's complexity into account are still highly necessary to further our understanding of biotic interactions with soil‐structure dynamics.
Expression Of Line-1 In Human Somatic Tissues And The Factors Correlated With Line- 1 Expression

iii List of Figures vi List of Tables vii Chapter 1: Introduction 1 Chapter 2: Differential expression of TEs 9 2.1 Methods 9 2.1. 1 Data 9 2.1. 2. RNA Seq: 12 2.1. 3 TEtranscripts 13 2.1. 4 Normalization 14 2.1. 5 DESeq2 16 2.1. 6 edgeR 17 2.2 Results 18 2.2.1. Retrotransposon expression varies across different tissue types and individuals 18 2.2.2 L1HS consistently over-expressed in multiple cancer types 20 2.2. 3. HTSeq comparison 35 2.2. 4. TCGA vs STAR 38 2.2. 5. DESeq2 vs edgeR 43 2.2. 6. Conclusion 44 Chapter 3: Gene and L1HS coexpression 45 3.
GIDVis: a comprehensive software tool for geometry-independent grazing-incidence X-ray diffraction data analysis and pole-figure calculations

GIDVis is a software package based on MATLAB which is specialized for the visualization and analysis of grazing-incidence thin-film X-ray diffraction data obtained during sample rotation around the surface normal. Using GIDVis, detector calibration, data stitching, intensity corrections, cuts and integrations, crystal phase analysis, and calculation of pole figures can be easily performed.
Design Patterns for Model Transformations

Model transformations are a central element of model-driven software development. This paper defines design patterns for the specification and implementation of model transformations. These patterns are commonly recurring struc- tures and mechanisms which we have identified in many specific transformations. In this paper we show how they can be used together to support an overall development process for model transformations from high-level specifications to executable Java implementations.
Problems in Learning English Vocabulary of the Fifth Year Students at MI Miftahul Huda Banjarejo Rejotangan Tulungagung in the Academic Year 2010/2011

Key words: Students’ problem in learning English Vocabulary Vocabulary is the one of component in learning English. Vocabulary is word know, learner, used. It means that vocabulary is important to know, learn and use. Without having a good vocabulary, they cannot make meaningful sentences in communication. The formulation of the research problems were:1)What are students’ problems in learning English vocabulary? 2) How are the teachers’ strategies to overcome students in learning vocabulary? Research method: 1) Research design used was descriptive qualitative because the writer want to describe the current phenomena about the students’ problems in learning English vocabulary. 2) The subject of the study was students and teacher of English lesson. 3) data collecting method and instrument: a) observation method with passive participant observation, b) interview method with one in one interview guide, c) documentation.4) the data analysis was using inductive method. The result show that students had many problem in learning English in the fifth year students class, particularly term in inhabitation, students can’t pronounce correctly caused by mother tongue, confuse to differ 2 words with similar spelling, confuse to pronounce letter “S” and “Z” and difficult to pronounce when class of word changing.problem in pronunciations, spelling and meaning. The researcher knows that every student has different problems about that but, there are some students has same problem. For example, about the pronunciation the researcher found that almost students’ problems are about habitual language is not habit to use in the daily activity and very difference pronounce with Javanese language. They also confuse when they found new words near the same with other words.The second problem are about spelling, near the same with pronunciations students’ always confuse when the teacher ask to write down the word without open the dictionary. English alphabetic are very different with Indonesians alphabetic. Furthermore, students are confused to use it.The last problems are about problem in meaning. They are still open dictionary when the teachers ask the students to doing some works in spite of the case their teacher forbid to open dictionary. Almost students do not know what the point of the words and they often misunderstanding about last lesson.
Case-base maintenance based on representative selection for 1-NN algorithm

Case-based reasoning (CBR) uses known experiences to solve new problems. Past problems are stored as cases in a case base and a new case is classified by determining the most similar case from the case base. The nearest neighbor (NN) algorithm is one of the most basic CBR and case-base maintenance (CBM) is an important issue in CBR system to obtain the efficient case bases. This paper proposes a new approach to selection of the representative cases based on generalization capability of cases. Using this method, most redundant cases which affect the solution accuracy is deleted. The experiments show that the proposed method can remove greatly the redundant cases, as well as preserve a satisfying accuracy of solutions when it is used in 1-NN algorithm for classification tasks.
Not out of Africa: Spirobranchus kraussii (Baird, 1865) is not a global fouling and invasive serpulid of Indo-Pacific origin

A common intertidal belt-forming serpulid Spirobranchus kraussii (Baird, 1865) was originally described from South Africa and subsequently reported from tropical and subtropical localities, mainly in the Indo-Pacific and Mediterranean Sea. It generally is assumed that the wide distribution of the nominal species is a result of human-mediated translocations. Here we provide a detailed illustrated re-description of S. kraussii based on the historical types and material freshly collected in South Africa from the type locality (Western Cape Province) and Eastern part of the country (KwaZulu-Natal Province). The description is accompanied by DNA sequence data (cyt b and 18S). Phylogenetic analysis of DNA sequences of specimens collected in South Africa, as well as farther afield in Australia, Japan, Hawaii, and Kuwait reveal several genetically distinct regionally distributed lineages. Closer comparative examination of morphological characters and environmental requirements reported in populations around the world has provided further evidence to reject the accepted status of this species as widespread in the Indo-Pacific. We conclude that Spirobranchus kraussii is a warm temperate/subtropical intertidal species restricted to South African coasts. It belongs to a globally distributed complex including some tropical fouling and invasive species. Further study into taxonomy and invasion ecology of this complex, especially in the Mediterranean, is needed.
Automatic Speech Recognition in CALL systems: The essential role of adaptation

Recent advances in speech technology research coupled to the increasing importance of speaking proficiency as an essential skill to acquire by migrant workers learning a second language (L2) have led to a growing interest in developing CALL systems that make use of Automatic Speech Recognition (ASR) for practicing oral proficiency. Such systems offer L2 learners the opportunity of practicing speaking outside the language classroom, at their own pace, without time limitations, and in a stress-free environment. However, direct experience with ASR-based CALL applications reveals that developing effective systems is fraught with difficulties. One of the main challenges is adapting the technology in such a way that it can cope with the idiosyncrasies of non-native learner speech while at the same time detecting the errors with sufficient accuracy.
A Universal Design of FPGA-Based Real-Time Simulator for Active Distribution Networks Based on Reconfigurable Computing

Reconfigurable computing is that the logical resources in the system can be reconfigured according to the real-time changing data flow to achieve different calculation functions. The reconfigurable computing system has both high efficiency on hardware and universality of software. The field programmable gate array (FPGA)-based real-time simulator for active distribution networks (ADNs) requires a long compilation time for case modification, with low efficiency and low versatility, making it inconvenient and difficult for users. To solve the problem of long compile time with a new case, a universal design of the FPGA-based real-time simulator for ADNs based on reconfigurable computing is proposed in this paper. It includes the universal design of the simulation parameter configuration, the simulation initial value setting, the linear equations solving module and the simulation result output module. The proposed universal design of the simulator makes the modification and change of the cases and parameters without recompiling and further improves the simulation efficiency. Simulation results are conducted and compared with PSCAD/EMTDC to validate the correctness and effectiveness of the universal design.