ALPGEN, a generator for hard multiparton processes in hadronic collisions

This paper presents a new event generator, ALPGEN, dedicated to the study of multiparton hard processes in hadronic collisions. The code performs, at the leading order in QCD and EW interactions, the calculation of the exact matrix elements for a large set of parton-level processes of interest in the study of the Tevatron and LHC data. The current version of the code describes the following final states: (W -> ffbar') QQbar+ N jets (Q being a heavy quark, and f=l,q), with N f fbar)+QQbar+Njets (f=l,nu), with N ffbar') + charm + N jets (f=l,q), N f fbar') + N jets (f=l,q) and (Z/gamma* -> f fbar)+ N jets (f=l,nu), with N<=6; nW+mZ+lH+N jets, with n+m+l+N<=8 and N<=3 including all 2-fermion decay modes of W and Z bosons, with spin correlations; Q Qbar+N jets (N b f fbar' decays and relative spin correlations included if Q=t; Q Qbar Q' Qbar'+N jets, with Q and Q' heavy quarks (possibly equal) and N b f fbar' decays and relative spin correlations included if Q=t; N jets, with N<=6. Parton-level events are generated, providing full information on their colour and flavour structure, enabling the evolution of the partons into fully hadronised final states.Comment: 1+38 pages, uses JHEP.cls. Documents code version 1.2: extended list of processes, updated documentation and bibliograph

Arbitration. A Promising Avenue for Resolving Family Law Cases?

This paper will examine the path of arbitration in the area of family law, when it began, and how it has grown since 1990. It will discuss the division between the states that currently utilize arbitration for family law issues as well as the scope of judicial review. The paper will then discuss the history leading to, and the enactment of, the Uniform Family Law Arbitration Act. Next, it addresses Nevada’s legislative history, when arbitration of family law matters was considered, and consequently what a Nevada Family Law Arbitration Act would potentially look like. Finally, it will include a view from the family court judges in the Eighth Judicial District Court and an analysis of the likelihood that arbitration will become a reality in Nevada

AKSES INFORMASI PENGIRIMAN BARANG DI KANTOR POS JEMUR SARI UNTUK AREA SURABAYA TIMUR MENGGUNAKAN METODE ANT COLONY OPTIMIZATION BERBASIS WAP

Barang dan jasa sudah menjadi salah satu kebutuhan manusia yang sudah tidak dapat dipisahkan dari kehidupan sehari-hari. Barang dan jasa untuk bisa sampai ke tangan konsumen tidak bisa lepas dari yang namanya proses distribusi. Dalam suatu proses distribusi pada umumnya kita selalu memilih jalur yang paling pendek untuk menghemat waktu dan biaya. Pencarian jalur terpendek secara umum dapat dibagi menjadi dua metode yaitu metode konvensional dan metode heuristik. Metode Konvensional kurang cocok digunakan untuk mencari jalur terpendek dengan data yang besar atau banyak. Karena hasil yang diperoleh dengan metode Konvensional cenderung tidak akurat apabila data yang digunakan banyak. Salah satu metode heuristik yaitu Algoritma Koloni Semut, dimana dengan metode tersebut pencarian jalur terpendek menjadi lebih singkat walaupun menggunakan data yang banyak sekalipun. Dengan memanfaatkan HP yang berfasilitas WAP untuk pengaksesannya, sistem ini mampu memberikan informasi yang cukup berguna bagi bapak petugas kantor pos untuk mengantarkan barangnya. Sehingga dalam mengantarkan barang ke tujuan pelanggannya, bapak petugas kantor pos bisa menghemat waktu dan biaya

Melodia : A Comprehensive Course in Sight-Singing (Solfeggio)

Melodia is a 1904 book designed to teach sight-singing. The educational plan is by Samuel W. Cole; the exercises were written and selected by Leo R. Lewis. Melodia is presented here as a complete edition and has also been divided into its four separate books.https://scholarworks.sjsu.edu/oer/1000/thumbnail.jp

The new SHA-3 software shootout

§ 1. Introduction This paper introduces a new graphing mechanism to allow easy comparison of software performance of the SHA-3 candidates. The new mechanism concisely captures a large amount of performance data without oversimplifying the data. We have integrated this graphing mechanism into our eBASH (ECRYPT Benchmark- ing of All Submitted Hashes) project. New graphs are automatically posted at the top of http://bench.cr.yp.to/results-sha3.html whenever the eBASH performance results are updated. This paper includes snapshots of these graphs, but readers are advised to check the web page for the latest updates. See http://bench.cr.yp.to for more information regarding eBASH. For each function there is also a similar graph online comparing implementations of that function, showing in a concise way which implementations are slow or non-functional. Im- plementors can follow links from http://bench.cr.yp.to/primitives-sha3.html to find these graphs. Of course, users concerned about performance will reject slower implementa- tions in favor of faster implementations, so the main shootout graphs re ect only the fastest implementations

An Integrated Approach to Performance Monitoring and Fault Diagnosis of Nuclear Power Systems

In this dissertation an integrated framework of process performance monitoring and fault diagnosis was developed for nuclear power systems using robust data driven model based methods, which comprises thermal hydraulic simulation, data driven modeling, identification of model uncertainty, and robust residual generator design for fault detection and isolation. In the applications to nuclear power systems, on the one hand, historical data are often not able to characterize the relationships among process variables because operating setpoints may change and thermal fluid components such as steam generators and heat exchangers may experience degradation. On the other hand, first-principle models always have uncertainty and are often too complicated in terms of model structure to design residual generators for fault diagnosis. Therefore, a realistic fault diagnosis method needs to combine the strength of first principle models in modeling a wide range of anticipated operation conditions and the strength of data driven modeling in feature extraction. In the developed robust data driven model-based approach, the changes in operation conditions are simulated using the first principle models and the model uncertainty is extracted from plant operation data such that the fault effects on process variables can be decoupled from model uncertainty and normal operation changes. It was found that the developed robust fault diagnosis method was able to eliminate false alarms due to model uncertainty and deal with changes in operating conditions throughout the lifetime of nuclear power systems. Multiple methods of robust data driven model based fault diagnosis were developed in this dissertation. A complete procedure based on causal graph theory and data reconciliation method was developed to investigate the causal relationships and the quantitative sensitivities among variables so that sensor placement could be optimized for fault diagnosis in the design phase. Reconstruction based Principal Component Analysis (PCA) approach was applied to deal with both simple faults and complex faults for steady state diagnosis in the context of operation scheduling and maintenance management. A robust PCA model-based method was developed to distinguish the differences between fault effects and model uncertainties. In order to improve the sensitivity of fault detection, a hybrid PCA model based approach was developed to incorporate system knowledge into data driven modeling. Subspace identification was proposed to extract state space models from thermal hydraulic simulations and a robust dynamic residual generator design algorithm was developed for fault diagnosis for the purpose of fault tolerant control and extension to reactor startup and load following operation conditions. The developed robust dynamic residual generator design algorithm is unique in that explicit identification of model uncertainty is not necessary. Finally, it was demonstrated that the developed new methods for the IRIS Helical Coil Steam Generator (HCSG) system. A simulation model was first developed for this system. It was revealed through steady state simulation that the primary coolant temperature profile could be used to indicate the water inventory inside the HCSG tubes. The performance monitoring and fault diagnosis module was then developed to monitor sensor faults, flow distribution abnormality, and heat performance degradation for both steady state and dynamic operation conditions. This dissertation bridges the gap between the theoretical research on computational intelligence and the engineering design in performance monitoring and fault diagnosis for nuclear power systems. The new algorithms have the potential of being integrated into the Generation III and Generation IV nuclear reactor I&C design after they are tested on current nuclear power plants or Generation IV prototype reactors

HUBUNGAN REGULASI DIRI DALAM BELAJAR DAN LITERASI DIGITAL DENGAN PENGUASAAN KONSEP SISTEM EKSKRESIH

*ABSTRAK* Pembelajaran biologi di abad 21 membuat peserta didik harus menguasai konsep materi dalam pembelajaran, salah satunya materi sistem ekskresi. Regulasi diri dalam belajar merupakan cara peserta didik dalam mengelola pembelajarannya. Digitalisasi di abad 21 menuntut peserta didik harus memiliki literasi digital, dimana peserta didik dapat terampil mengendalikan teknologi dan informasi dalam belajar. Penelitian ini bertujuan untuk menganalisis hubungan antara regulasi diri dalam belajar dengan penguasaan konsep sistem ekskresi, hubungan antara literasi digital dengan penguasaan konsep sistem ekskresi, serta hubungan antara regulasi diri dalam belajar dan literasi digital dengan penguasaan konsep sistem ekskresi. Metode penelitian berupa deskriptif dengan studi korelasional. Penelitian dilaksanakan di SMAN 6 Jakarta, melibatkan 94 peserta didik kelas XI IPA sebagai sampel dengan teknik multi-stage sampling. Instrumen yang digunakan adalah angket dan tes. Uji menunjukkan terdapat hubungan positif dan linear yang signifikan antara regulasi belajar dengan penguasaan konsep sistem ekskresi, hubungan positif dan linear yang signifikan antara literasi digital dengan penguasaan konsep sistem ekskresi, serta hubungan positif dan linear yang signifikan antara regulasi diri dalam belajar dan literasi digital secara bersamaan dengan penguasaan konsep sistem ekskresi. Tindak lanjut diperlukan untuk memfasilitasi adanya regulasi diri dalam belajar dan literasi digital peserta didik untuk meningkatkan penguasaan konsep sistem ekskresi. . *ABSTRACT* Biology learning in the 21st century makes students have to understand concepts in learning, including for the excretory system chapter. Self-regulated learning is a way for students to manage their learning. Digitalization requires students to have digital literacy, where students are skilled at controlling technology and information in learning. This study aimed to analyze the relationship between self- regulated learning with conceptual l understanding of the excretory system, the relationship between digital literacy with conceptual understanding of the excretory system, then the relationship between self-regulated learning and digital literacy with conceptual understanding of the excretory system. Descriptive method is used with a correlational study and carried out in SMAN 6 Jakarta, involving 94 students of class XI science as samples. Questionnaires and tests is used as instruments. It can be seen that there is a linear and positive relationship significantly between self-regulated learning with conceptual understanding, linear and positive relationship significantly between digital literacy with conceptual understanding, then linear and positive relationship significantly between self-regulated learning and digital literacy simultaneously with conceptual understanding of the excretory system. More action needed to facilitate the students’ self-regulated learning and digital literacy in order to increase the excretory system concept understanding