1,297 research outputs found
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
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