130,951 research outputs found
Finding New Ways to Treat Kidney Disease
Chronic kidney disease affects millions of people in the U.S. and worldwide; however, current treatments are not highly effective. Many factors contribute to chronic kidney disease, including diabetes, hypertension, autoimmune disorders, and others. Research in the lab of University of Utah Health investigator Donald Kohan, MD, PhD, used genetically engineered mice to help identify a peptide, endothelin-1, and its receptor, ETA, as key regulators of blood pressure and kidney function in health. Kohan and colleagues also helped determine that kidney ET-1 production is increased in many kidney diseases and, through activation of ETA receptors on most kidney cell types, leads to inflammation, scarring, and decreased kidney function. Together with national and international collaborators, they have translated these studies into clinical trials demonstrating that blocking the ETA receptor protects kidney function in individuals with type 2 diabetes mellitus. These trials with ETA receptor antagonists are now being extended into other forms of chronic kidney disease. Targeting the endothelin-1/ETA receptor system represents a promising approach to the treatment of chronic kidney disease
PENGARUH MINAT MENONTON ANIME TERHADAP HASIL BELAJAR CHOUKAI-KAIWA SHOKYU KOHAN TAHUN 2023/2024
Sukmawati, D. G. (2024). Pengaruh Minat Menonton Anime terhadap Hasil Belajar Choukai-
Kaiwa Shokyu Kohan Tahun 2023/2024. Skripsi. Jurusan Bahasa dan Sastra Asing. Fakultas
Bahasa dan Seni. Universitas Negeri Semarang. Pembimbing Utama Dr. Rina Supriatnaningsih,
M.Pd.
Kata kunci : Minat, Anime, Hasil Belajar Bahasa Jepang, Choukai-Kaiwa Shokyu Kohan
Seiring perkembangan zaman, dunia pendidikan perlahan-lahan mengalami kemajuan
dalam bidang teknologi yang sekarang telah memasuki era 5.0 atau dikenal dengan Society 5.0.
Adanya teknologi ini berdampak pada kemajuan dalam dunia pendidikan salah satunya pada
media pembelajaran. Salah satu contoh media penunjang pembelajaran yang kerap digunakan
di dunia pendidikan pada era ini yaitu animasi berupa anime yang berasal dari Jepang. Berkat
kemajuan teknologi yang menghasilkan anime ini, banyak pemelajar bahasa Jepang yang
menggunakan anime sebagai media penunjang pembelajaran dikarenakan dapat melatih
menyimak dan berbicara dalam bahasa Jepang. Berdasarkan hasil studi pendahuluan yang
diberikan kepada 47 mahasiswa semester dua angkatan 2023, 87,2% mahasiswa merasa senang
menonton anime, kemudian 97,9% mahasiswa setuju bahwa menonton anime memberikan
manfaat dalam pembelajaran bahasa Jepang terutama pada mata kuliah Choukai-Kaiwa Shokyu
Kohan dengan persentase sebesar 80,9%. Berdasarkan hasil studi pendahuluan tersebut, maka
peneliti tertarik untuk melakukan penelitian mengenai pengaruh minat menonton anime
terhadap hasil belajar Choukai-Kaiwa Shokyu Kohan pada mahasiswa semester dua tahun
2023/2024.
Penelitian ini bertujuan untuk mendeskripsikan ada atau tidaknya pengaruh minat
menonton anime terhadap hasil belajar Choukai-Kaiwa Shokyu Kohan pada mahasiswa
semester dua tahun 2023/2024 serta faktor apa saja yang memengaruhi minat menonton anime.
Penelitian ini menggunakan metode penelitian deskriptif kuantitatif. Sampel dalam penelitian
ini adalah mahasiswa semester dua angkatan 2023 sebanyak 62 mahasiswa yang terdiri dari 10
mahasiswa digunakan untuk uji reliabilitas angket dan 52 mahasiswa sebagai data penelitian.
Metode pengumpulan data menggunakan angket dan dokumentasi. Metode angket digunakan
untuk mendapatkan informasi mengenai minat menonton anime pada mahasiswa semester dua
angkatan 2023 dan metode dokumentasi digunakan untuk mendapatkan nilai ujian tengah
semester mata kuliah Choukai-Kaiwa Shokyu Kohan mahasiswa semester dua.
Berdasarkan hasil analisis menggunakan uji regresi linier sederhana, menunjukkan bahwa
terdapat hubungan antara minat menonton anime dengan hasil belajar Choukai-Kaiwa Shokyu
Kohan yang termasuk dalam kategori sedang. Selain itu, terdapat pengaruh minat menonton
anime terhadap hasil belajar Choukai-Kaiwa Shokyu Kohan pada mahasiswa semester dua
dengan didapatkan nilai signifikansi sebesar 0,002 lebih kecil dari nilai signifikansi yang
ditetapkan sebesar 0,05 yang artinya terdapat pengaruh minat menonton anime terhadap hasil
belajar Choukai-Kaiwa Shokyu Kohan tahun 2023/2024 dengan besar pengaruh 18,3%.
Adapun faktor yang memengaruhi minat menonton anime pada mahasiswa dibagi menjadi
empat indikator dengan perolehan persentase rata-rata indikator perasaan senang dan perhatian
masing-masing sebesar 85%, diikuti ketertarikan 82%, dan terakhir keterlibatan sebesar 75%
MeSH term explosion and author rank improve expert recommendations
Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
At the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
The R&D Tax Incentives
This article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
Synthesis and Mechanical Characterization of a CuMoTaWV High-Entropy Film by Magnetron Sputtering
Development of high-entropy alloy (HEA) films is a promising and cost-effective way to incorporate these materials of superior properties in harsh environments. In this work, a refractory high-entropy alloy (RHEA) film of equimolar CuMoTaWV was deposited on silicon and 304 stainless-steel substrates using DC-magnetron sputtering. A sputtering target was developed by partial sintering of an equimolar powder mixture of Cu, Mo, Ta, W, and V using spark plasma sintering. The target was used to sputter a nanocrystalline RHEA film with a thickness of ∼900 nm and an average grain size of 18 nm. X-ray diffraction of the film revealed a body-centered cubic solid solution with preferred orientation in the (110) directional plane. The nanocrystalline nature of the RHEA film resulted in a hardness of 19 ± 2.3 GPa and an elastic modulus of 259 ± 19.2 GPa. A high compressive strength of 10 ± 0.8 GPa was obtained in nanopillar compression due to solid solution hardening and grain boundary strengthening. The adhesion between the RHEA film and 304 stainless-steel substrates was increased on annealing. For the wear test against the E52100 alloy steel (Grade 25, 700-880 HV) at 1 N load, the RHEA film showed an average coefficient of friction (COF) and wear rate of 0.25 (RT) and 1.5 (300 °C), and 6.4 × 10-6 mm3/N m (RT) and 2.5 × 10-5 mm3/N m (300 °C), respectively. The COF was found to be 2 times lower at RT and wear rate 102 times lower at RT and 300 °C than those of 304 stainless steel. This study may lead to the processing of high-entropy alloy films for large-scale industrial applications
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