RAM-Efficient External Memory Sorting

In recent years a large number of problems have been considered in external memory models of computation, where the complexity measure is the number of blocks of data that are moved between slow external memory and fast internal memory (also called I/Os). In practice, however, internal memory time often dominates the total running time once I/O-efficiency has been obtained. In this paper we study algorithms for fundamental problems that are simultaneously I/O-efficient and internal memory efficient in the RAM model of computation.Comment: To appear in Proceedings of ISAAC 2013, getting the Best Paper Awar

Pengembangan Sistem Informasi Panduan Mitigasi Bencana Alam Provinsi Sumatera Barat Berbasis Android

Sumatera Barat adalah salah satu provinsi di Indonesia yang bila dilihat dari potensi bencana berdasarkan data BNPB, adalah wilayah dengan potensi bahaya yang tinggi. Bencana dapat terjadi kapan saja dan di mana saja sehingga orang perlu meningkatkan kewaspadaan, kesadaran, dan kesiapan yang biasa disebut masyarakat tanggap bencana. Seiring dengan pesatnya kemajuan teknologi seluler, diperlukan aplikasi yang mengakomodasi kebutuhan masyarakat untuk aplikasi yang dapat memberikan informasi terkini tentang mitigasi disater secara efektif dan efisien. Tujuan dari proyek akhir ini adalah untuk mengembangkan sistem panduan informasi bencana alam yang dapat membantu orang dalam mencari informasi tentang panduan mitigasi bencana, berita & peristiwa mitigasi, pelaporan bencana & layanan pertanyaan bencana, dan menyediakan lokasi BPBD dan rute evakuasi menggunakan Google Map API . Tugas akhir ini menghasilkan sistem informasi panduan mitigasi bencana alam berupa situs web pada server dan aplikasi android pada klien yang menggunakan pemodelan UML. Proses pembuatan pada server menggunakan PHP, HTML, CSS, bahasa pemrograman Javascript berdasarkan kerangka CodeIgniter dengan MYSQL sebagai DBMS dan Sublimetext3 sebagai editor, sedangkan klien menggunakan bahasa pemrograman Java dengan Android Studio sebagai IDE. Sebuah sistem panduan mitigasi bencana alam dapat membantu BPBD telah dibuat dapat membantu BPBD dalam mendidik dan meningkatkan layanan kepada masyarakat dalam hal mitigasi bencana terutama di provinsi Sumatera Barat. Kemudian mempermudah masyarakat dalam mengakses informasi tentang mitigasi bencana ala

Propane Dehydrogenation Using Transition Metal Cluster Catalysts

Our research seeks to determine the propane dehydrogenation (PDH) reaction pathways using various transition-metal cluster catalysts. We are studying the first step of the reaction, in which a C-H bond is broken. This has been previously shown to be the rate-limiting step of the PDH reaction. We are calculating the PDH activation energy (Ea) using the Vienna Ab-Initio Simulation Package (VASP) in conjunction with the nudged elastic band algorithm. Thus far, we have studied Pt, Ta, and Ni clusters ranging in size from 2-10 atoms. Our goal is to better understand the dependence of Ea on metal type and cluster size

THE CALLOVIAN UNCONFORMITY AND THE OPHIOLITE OBDUCTION ONTO THE PELAGONIAN CARBONATE PLATFORM OF THE INTERNAL HELLENIDES

The carbonate-platform-complex and the oceanic formations of the central Pelagonian zone of the Hellenides evolved in response to a sequence of plate tectonic episodes of ocean spreading, plate convergence and ophiolite obduction. The biostratigraphies of the carbonate platform and the oceanic successions, show that the Triassic-Early Jurassic platform was coeval with an ocean where pillow basalts and radiolarian cherts were being deposited. After convergence began during late Early- Jurassic - Middle Jurassic time, the oceanic leading edge of the Pelagonian plate was subducted beneath the leading edge of the oceanic, overriding plate. The platform subsided while a supra-subduction, volcanic-island-arc evolved. Biostratigraphic and geochemical evidence shows that the platform and the oceanic floor, temporarily became subaerially exposed during Callovian time. This “Callovian event” is suggested to have taken place as oceanic lithosphere first made compressional, tectonic contact with the carbonate platform, initiating a basal detachment fault, along which the platform was thrust upwards. The central Pelagonian zone became an extensive land area that was supplied with laterite from an ophiolite highland. A similar emergence of Vardar ophiolite most likely took place in the Guevgueli area. The Callovian emergence shows that the initial ophiolite obduction onto the platform took place about 25 million years before the final emplacement of the ophiolite during Valanginian time

Using visual data mining in highway traffic safety analysis and decision making

An ongoing, two-fold challenge involves extracting useful information from the massive amounts of highway crash data and explaining complicated statistical models to inform the public about highway safety. Highway safety is critical to the trucking industry and highway funding policy. One method to analyze complex data is through the application of visual data mining tools. In this paper, we address the following three questions: a) what existing data visualization tools can assist with highway safety theory development and in policy-making?; b) can visual data mining uncover unknown relationships to inform the development of theory or practice? and c) can a data visualization toolkit be developed to assist the stakeholders in understanding the impact of publicpolicy on transportation safety? To address these questions, we developed a visual data mining toolkit that allows for understanding safety datasets and evaluating the effectiveness of safety policies

Compression wraps as adjuvant therapy in the management of acute systolic heart failure

BACKGROUND: Guidelines recommend targeting decongestion in management of decompensated HF, with lower extremity edema often serving as the clinical target. LECW are seldom used in the acute setting, with a paucity of data on efficacy in HF, despite serving as a cornerstone of chronic lymphedema management. PRIMARY OBJECTIVE: Study the efficacy and safety of LECW in acute decompensated HF. METHODS: Open-label, randomized, parallel-group clinical trial. PRIMARY OUTCOMES: Days on intravenous (IV) diuretic therapy, total hospital length of stay (LOS), and 30-day all-cause readmission. RESULTS: 32 patients were enrolled, with 29 patients completing the study. Enrollment was suspended due to the COVID-19 pandemic. Overall LOS was shorter in the intervention group (3.5 vs 6 days, p = 0.05), with no significant difference in total days on IV diuresis or 30-day readmission rate with use of LECW. Fewer patients required continuous diuretic infusion after treatment with LECW (0 vs 7 patients, p = 0.027). The intervention group scored significantly better on the MLWHF (55.5 vs 65, p = 0.021), including both the physical and emotional dimension scores. No adverse events were reported with use of LECW, including a significantly lower incidence of AKI (1 vs 13 patients, p = 0.005). CONCLUSION: The use of LECW resulted in reduced hospital LOS compared to standard therapy, with no difference in days of IV diuresis administration or 30-day readmission. Treatment with LECW also resulted in less continuous IV diuretic therapy, fewer incidence of AKI, and improved quality of life. Trends toward less escalation of diuresis, and greater reduction in edema were also observed

dPV: An End-to-End Differentiable Solar-Cell Simulator

We introduce dPV, an end-to-end differentiable photovoltaic (PV) cell simulator based on the drift-diffusion model and Beer-Lambert law for optical absorption. dPV is programmed in Python using JAX, an automatic differentiation (AD) library for scientific computing. Using AD coupled with the implicit function theorem, dPV computes the power conversion efficiency (PCE) of an input PV design as well as the derivative of the PCE with respect to any input parameters, all within comparable time of solving the forward problem. We show an example of perovskite solar-cell optimization and multi-parameter discovery, and compare results with random search and finite differences. The simulator can be integrated with optimization algorithms and neural networks, opening up possibilities for data-efficient optimization and parameter discovery