Trends in antibacterial resistance among Streptococcus pneumoniae isolated in the USA: update from PROTEKT US Years 1–4

© 2008 Jenkins et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licens

Analisis Kesalahan Penulisan Guratan Aksara Bahasa Mandarin di Kelas XI IIS 3 SMA Negeri 19 Tambora

Secara umum penelitian ini dilakukan untuk memperoleh jawaban atas pertanyaan: apakah permasalahan yang muncul dan bagaimana cara mengatasi permasalahan yang terjadi dalam penulisan guratan aksara Han di pelajaran bahasa Mandarin. Metode yang digunakan dalam penelitian ini adalah metode penelitian kualitatif. Pada bagian penelitian kualitatif, teknik pengumpulan data yang utama adalah studi kepustakaan (analisis teks), kajian teori, dan wawancara, dimana ketiganya merupakan iriangulasi untuk mendapatkan kepuasan dalam meneliti dan menemukan temuan-temuan dari teks yang akan diteliti. Dalam penelitian ini ditulis jenis-jenis kesalahan siswa dalam penulisan aksara Han yang diteliti dari soal ulangan harian. Setelah mendapatkan hasil penelitian penulis juga memberikan saran agar pengajaran bahasa Mandarin terutama menulis aksara Han dapat lebih ditingkatkan lagi. Keywords: bahasa Mandarin, analisis kesalahan, aksara Han

Operative rates in acute diverticulitis with concurrent small bowel obstruction.

Background: The prevalence of diverticulitis has steadily increased during the past century. One possible complication of large bowel diverticulitis (LBD) is the concurrent development of a small bowel obstruction (SBO). The literature regarding these joint diagnoses is primarily limited to small case series from the 1950s. Consequently, no official recommendations or recent literature exists to guide decision making. Methods: This is a retrospective case-control study with 5:1 matching by demographics, comorbidities, and Hinchey classification of patients presenting with concomitant LBD and SBO and patients with LBD alone. The primary outcome assessed was the need for same admission surgical intervention. Results: Patients with concurrent LBD and SBO were more likely to require surgical intervention (OR 4.2, p Discussion: Patients with concurrent LBD and SBO are more likely to fail non-operative management. Given this, along with their longer LOS and higher rate of open surgery, earlier surgical intervention may improve outcomes and reduce hospital LOS. Level of evidence: 4

Producing Maple Syrup From Boxelder and Norway Maple Trees

In Utah, two common tappable maple species are boxelder, sometimes called ashleaf maple (Acer negundo), and Norway maple (Acer platanoides). Both species are abundant throughout the state, with the former primarily found in natural mid-elevation canyons and the latter extensively planted in urban landscapes. Maple syrup is a natural source of sugar and can be used in many recipes to make yummy treats and foods. The best part is that it is relatively easy to obtain and simple to make. This fact sheet reviews the syrup-making process

Novel deep learning methods for track reconstruction

For the past year, the HEP.TrkX project has been investigating machine learning solutions to LHC particle track reconstruction problems. A variety of models were studied that drew inspiration from computer vision applications and operated on an image-like representation of tracking detector data. While these approaches have shown some promise, image-based methods face challenges in scaling up to realistic HL-LHC data due to high dimensionality and sparsity. In contrast, models that can operate on the spacepoint representation of track measurements ("hits") can exploit the structure of the data to solve tasks efficiently. In this paper we will show two sets of new deep learning models for reconstructing tracks using space-point data arranged as sequences or connected graphs. In the first set of models, Recurrent Neural Networks (RNNs) are used to extrapolate, build, and evaluate track candidates akin to Kalman Filter algorithms. Such models can express their own uncertainty when trained with an appropriate likelihood loss function. The second set of models use Graph Neural Networks (GNNs) for the tasks of hit classification and segment classification. These models read a graph of connected hits and compute features on the nodes and edges. They adaptively learn which hit connections are important and which are spurious. The models are scaleable with simple architecture and relatively few parameters. Results for all models will be presented on ACTS generic detector simulated data.Comment: CTD 2018 proceeding

Maple Sap Collection and Sap Processing Systems

Starting a maple syrup operation as a hobby or a business can be a daunting task. This fact sheet can help a new maple syrup producer get started on their sugaring journey with information on sap collection methods and processing equipment