374 research outputs found
Penggunaan Model Pembelajaran Kooperatif Tipe Two Stay Two Stray (Tsts) Untuk Meningkatkan Hasil Belajar Siswa Pada Materi Statistika
Student learning achievement in statistical material is still relatively low, because the learning method used is still monotonous (conventional). This study aims to improve the learning achievement of class XII Students of SMA Negeri 2 Salahutu on statistical material through the cooperative learning type two stay two stray. This type of research is a class action research consisting of two cycles, with each cycle consisting of two meeting. The subjects in this study were students of class XII-MIA2 with a sample of 20 students. Data collection techniques in this study were obtained from the results of observations and final test results of students in each cycle. Classical student learning outcomes from cycle I to cycle II increased by 15%. Based on results obtained, it can be concluded that using the cooperative learning of the two stay two stray type can improve the learning outcomes of class XII students of SMA Negeri 2 Salahutu on statistical matrial
Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models
Physicians considering clinical trials for their patients are met with the
laborious process of checking many text based eligibility criteria. Large
Language Models (LLMs) have shown to perform well for clinical information
extraction and clinical reasoning, including medical tests, but not yet in
real-world scenarios. This paper investigates the use of InstructGPT to assist
physicians in determining eligibility for clinical trials based on a patient's
summarised medical profile. Using a prompting strategy combining one-shot,
selection-inference and chain-of-thought techniques, we investigate the
performance of LLMs on 10 synthetically created patient profiles. Performance
is evaluated at four levels: ability to identify screenable eligibility
criteria from a trial given a medical profile; ability to classify for each
individual criterion whether the patient qualifies; the overall classification
whether a patient is eligible for a clinical trial and the percentage of
criteria to be screened by physician. We evaluated against 146 clinical trials
and a total of 4,135 eligibility criteria. The LLM was able to correctly
identify the screenability of 72% (2,994/4,135) of the criteria. Additionally,
72% (341/471) of the screenable criteria were evaluated correctly. The
resulting trial level classification as eligible or ineligible resulted in a
recall of 0.5. By leveraging LLMs with a physician-in-the-loop, a recall of 1.0
and precision of 0.71 on clinical trial level can be achieved while reducing
the amount of criteria to be checked by an estimated 90%. LLMs can be used to
assist physicians with pre-screening of patients for clinical trials. By
forcing instruction-tuned LLMs to produce chain-of-thought responses, the
reasoning can be made transparent to and the decision process becomes amenable
by physicians, thereby making such a system feasible for use in real-world
scenarios.Comment: 11 pages, 4 tables, 2 figure
Overview on jet results from STAR
Full jet reconstruction allows access to the parton kinematics over a large
energy domain and can be used to constrain the mechanisms of energy loss in
heavy-ion collisions. Such measurements are challenging at RHIC, due to the
high-multiplicity environments created in heavy-ion collisions. In these
proceedings, we report an overview of the results on full jet reconstruction
obtained by the STAR experiment. Jet measurements in 200 GeV p+p show that jets
are calibrated pQCD probes and provide a baseline for jet measurements in Au+Au
collisions. Inclusive differential jet production cross sections and ratios are
reported for central 200 GeV Au+Au collisions and compared to p+p. We also
present measurements of fully reconstructed di-jets at mid-rapidity, and
compare spectra and fragmentation functions in p+p and central Au+Au
collisions.Comment: Proceedings for the 26th WWND conferenc
Korelasi Bobot Badan dengan Ukuran Linear Tubuh Ternak Babi Jantan Peranakan VDL pada Peternakan Rakyat di Kecamatan Kota Kefamenanu, Kabupaten Timor Tengah Utara
Penelitian ini bertujuan untuk mengetahui korelasi bobot badan dengan ukuran linear tubuh ternak babi jantan peranakan VDL di Kecamatan Kota Kefamenanu. Metode yang digunakan adalah survey dengan teknik wawancara dan pengukuran langsung di lapangan untuk mendapatkan data primer, sedangkan data sekunder diambil dari instansi terkait. Penentuan desa dilakukan secara (purposive sampling) dari 3 kelurahan yang berada di satu kecamatan dengan pertimbangan memiliki populasi babi terbanyak. Parameter yang diukur yaitu bobot badan untuk setiap kelompok umur ternak (anak, muda, dewasa) dan ukuran linear tubuh (panjang badan, lingkat dada, tinggi pundak). Hasil penelitian menunjukkan korelasi antara bobot badan dengan panjang badan untuk kelompok umur anak, muda, dewasa adalah, 0,93; 0,97; 0,96. Korelasi antara bobot badan dengan lingkar dada untuk kelompok umur anak, muda, dewasa, adalah 0,92; 0,97; 0,97. Korelasi antara bobot badan dengan tinggi pundak umtuk kelompok umur anak, muda, dewasa, adalah 0,93; 0,97; 0,96. Korelasi bersifat positif antara bobot badan dengan ukuran linear tubuh ternak babi jantan peranakan VDL dari berbagai kelompok umur di Kecamatan Kota Kefamenanu. ©2016 dipublikasikan oleh JAS.Penelitian ini bertujuan untuk mengetahui korelasi bobot badan dengan ukuran linear tubuh ternak babi jantan peranakan VDL di Kecamatan Kota Kefamenanu. Metode yang digunakan adalah survey dengan teknik wawancara dan pengukuran langsung di lapangan untuk mendapatkan data primer, sedangkan data sekunder diambil dari instansi terkait. Penentuan desa dilakukan secara (purposive sampling) dari 3 kelurahan yang berada di satu kecamatan dengan pertimbangan memiliki populasi babi terbanyak. Parameter yang diukur yaitu bobot badan untuk setiap kelompok umur ternak (anak, muda, dewasa) dan ukuran linear tubuh (panjang badan, lingkat dada, tinggi pundak). Hasil penelitian menunjukkan korelasi antara bobot badan dengan panjang badan untuk kelompok umur anak, muda, dewasa adalah, 0,93; 0,97; 0,96. Korelasi antara bobot badan dengan lingkar dada untuk kelompok umur anak, muda, dewasa, adalah 0,92; 0,97; 0,97. Korelasi antara bobot badan dengan tinggi pundak umtuk kelompok umur anak, muda, dewasa, adalah 0,93; 0,97; 0,96. Korelasi bersifat positif antara bobot badan dengan ukuran linear tubuh ternak babi jantan peranakan VDL dari berbagai kelompok umur di Kecamatan Kota Kefamenanu. ©2016 dipublikasikan oleh JAS
Jet reconstruction and underlying event studies in p+p and d+Au collisions from STAR
Description of parton interaction with the hot and dense nuclear matter
created in heavy-ion collisions at high energies is a complex task, which
requires a detailed knowledge of jet production in p+p and d+Au collisions.
Measurements in these collision systems are therefore essential to disentangle
initial state nuclear effects from cold nuclear matter effects, medium-induced
broadening and jet quenching. To obtain complete description of the p+p
(d+Au) collision it is also important to study particle production in the
underlying event. The measured properties of underlying event can be used to
tune the QCD based Monte-Carlo models.
In this paper some of the recent results on jet and underlying event
properties in p+p and d+Au collisions at = 200 GeV measured by
the STAR experiment are presented. In particular, the preliminary results on
charged and strange particle fragmentation functions in p+p collisions are
discussed and confronted with PYTHIA simulations. Next, the measurement of
inclusive jet spectrum and di-jet correlations in d+Au collisions is presented
and compared with the measurements in p+p collisions to estimate the size of
cold nuclear matter effects. Finally, the study of underlying event properties
in p+p collisions is shown and compared to PYTHIA simulation.Comment: 9 pages, 8 figures, proceedings of the 27th Winter Workshop on
Nuclear Dynamics, Winter Park, Colorado, US
Reconstructed Jets at RHIC
To precisely measure jets over a large background such as pile up in high
luminosity p+p collisions at LHC, a new generation of jet reconstruction
algorithms is developed. These algorithms are also applicable to reconstruct
jets in the heavy ion environment where large event multiplicities are
produced. Energy loss in the medium created in heavy ion collisions are already
observed indirectly via inclusive hadron distributions and di-hadron
correlations. Jets can be used to study this energy loss in detail with reduced
biases. We review the latest results on jet-medium interactions as seen in A+A
collisions at RHIC, focusing on the recent progress on jet reconstruction in
heavy ion collisions.Comment: Proceedings for the 26th Winter Workshop on Nuclear Dynamic
Jets and jet-like correlations studies from STAR
I present recent results from jets and jet-like correlation measurements from
STAR. The pp data are compared to those from Au-Au collisions to attempt to
infer information on the medium produced and how hard scattered partons
interact with this matter. Results from d-Au events are utilized to investigate
the magnitude of cold nuclear matter effects on hard scatterings. The evolution
of the underlying event from pp to d-Au collisions is studied. In heavy-ion
collisions, background fluctuations are the major source of systematic
uncertainties in jet measurements. Detailed studies are therefore being made of
these fluctuations and recent progress in our understanding is reported. Jet
and jet-hadron correlations results are presented and give clear indications
that partonic fragmentation at RHIC is highly modified in the presence of a
strongly coupled coloured medium, resulting in a significant broadening and
softening of the jet fragments correlation. Finally di-hadron correlations
utilizing identified particles as triggers indicate that the "ridge" is
stronger for p+K than for pi but that the near-side peak per-trigger yield
remains unaltered from d-Au to Au-Au collisions.Comment: Proceedings for QM201
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