1,725,822 research outputs found
Cloudy with a Chance of Precision Series: Satellite's Autoconversion Rates Forecasting Powered by Machine Learning
Get PDFPrecipitation is one of the most relevant weather and climate processes. Its formation rate is sensitive to perturbations such as by the interactions between aerosols, clouds, and precipitation. These interactions constitute one of the largest uncertainties in determining the radiative forcing of climate change. High-resolution simulations, such as the ICOsahedral Non-hydrostatic Large-Eddy Model (ICON-LEM), provide valuable insights into the complex interactions among aerosols, clouds, and precipitation. However, due to their exorbitant computational costs, they can only be employed for a limited period and geographical area.
To address this, the thesis proposes more cost-effective novel methods powered by emerging machine learning approaches and abundance of satellite data -- which provides long-term global spatial coverage for over two decades -- to better understand the intricate dynamics of the climate system, via prediction of autoconversion rates — this is the process by which small cloud droplets collide and coalesce, becoming larger droplets (raindrops).
The thesis makes various contributions: 1) First, we develop various machine learning models to unravel the key process of precipitation formation for liquid clouds, the autoconversion, directly from satellite observations. 2) Second, we also incorporate evidential regression into our machine learning models in order to capture uncertainty in the predictions, ensuring trustworthiness. 3) Finally, we utilize active learning to reduce the number of labeled data.
We compare the performance of our machine learning models against simulation data under different conditions, showing from both visual and statistical inspections that our approaches are able to identify key features of groundtruth to a high degree. Additionally, the autoconversion rates obtained from the simulation output and satellite data demonstrate statistical concordance. By efficiently predicting this, we advance our comprehension of one of the key processes in precipitation formation, crucial for understanding cloud responses to anthropogenic aerosols and, ultimately, climate change.
Overall, our various contributions lead to new approaches that are simple, meaningful, and easy to implement in practice while reducing the overall costs associated with the simulation of climate processes
Pengaruh Penambahan Ekstrak Daun Sukun (Artocarpus altilis F.) dan Lama Perendaman Terhadap Kualitas Daging Ayam Broiler Selama Penyimpanan
No full textDaun sukun mengandung senyawa flavonoid yang berfungsi sebagai antimikroba, sehingga dapat berpotensi sebagai pengawet daging ayam. Tujuan penelitian ini ingin mengetahui pengaruh dan perlakuan terbaik penambahan ekstrak daun sukun dan lama perendaman terhadap kualitas daging ayam broiler selama penyimpanan. Desain penelitian menggunakan rancangan acak kelompok yang disusun secara faktorial (2 faktor) antara konsentrasi ekstrak daun sukun (0%, 5%, 10%, 15%) dan lama perendaman (15, 30 dan 45 menit) yang diulang sebanyak 3 kali. Parameter analisis yang dilakukan adalah kadar air, kadar protein, kadar lemak, pH dan Total Plate Count. Data yang diperoleh dianalisis dengan Anova (α= 5%), jika perlakuan berpengaruh nyata, dilanjutkan uji Beda Nyata Jujur. Hasil penelitian menunjukkan perlakuan terbaik pada penyimpanan hari ke 6, yaitu 10% konsentrasi ekstrak daun sukun dan 45 menit lama perendaman, yang menghasilkan rerata karakteristik kimia : kadar air 74,96%, kadar protein 12,36%, kadar lemak 4,68%, karakteristik fisik : pH 5,84, dan karakteristik mikrobiologis : TPC 1,06x108 CFU/g.Kata kunci : Ayam broiler, daun sukun, ekstrak, dan lama perendama
PENERAPAN METODE ACTIVE LEARNING UNTUK MENINGKATKAN MINAT DAN HASIL BELAJAR AL-QUR'AN HADITS DI MTs NU JOHO PACE NGANJUK
Get PDFSkripsi dengan judul “Penerapan Metode Active Learning Untuk meningkatkan Minat Dan Hasil Belajar Al-Qur’an Hadits di MTs Nu Joho Pace Nganjuk”, ditulis oleh Istikhar Wanda Novitasari, NIM 12201183266, Pembimbing Mohammad Ja'far As-Shodiq, M.Pd.
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Indonesia Tangguh Melawan Covid 19
Get PDFBookchapter ini dibuat karena kondisi indonesia bahkan dunia yang sedang dihadapi oleh pandemi virus covid19 yang membuat seluruh masyarakat indonesia ketakutan dan cemas. Sudah banyak warga yang meninggal dunia karena ganas nya virus covid19 ini, pandemi covid19 membuat masyarakat harus berfikir kritis dan inovatif untuk bisa bertahan, bisa menjaga kesehatan tubuh, mampu menangkal hoaks yang beredar di media sosial tentang Pemberitaan di media sosial mengenai covid 19 dan isu tentang vaksinasi yang membuat masyarakat semakin takut sehingga memberikan dampak psikologis bagi masyarakat.
Tim penulis mengkolaborasi pikiran lewat buku ini, diharapkan dengan bacaan buku ini dapat memberikan informasi dan pengetahuan masyarakat agar tahu tentang virus covid19, pentingnya vaksinasi untuk daya tahan tubuh, mengatasi trauma pada pasien yang terpapar covid19, menjaga kesehatan keluarga, faskes sebagai pelayanan prima, cara menghadapi berita hoaks yang beredar di media sosial.
Semoga bookchapter ini bisa menginspirasi dan memotivasi masyarakat untuk terus berprilaku hidup sehat. Tim penulis menyakini bahwa masih banyak kekurangan dalam pemaparannya, sehingga kritik dan saran sangat diharapkan oleh tim penulis
SISTEM PENGOLAHAN DATA SLIP GAJI PEGAWAI PADA PT. PLN (PERSERO) DISTRIBUSI JAWA BARAT DAN BANTEN
No full textSistem pengelolahan gaji pegawai merupakan suatu sistem yang mengelolah pembayaran gaji pegawai berdasarkan tanggung jawab dan jasa yang diberikan oleh pegawai tersebut kepada perusahaan tempat pegawai tersebut bekerja. PT PLN (Persero) Distribusi Jawa Barat dan Banten sebagai sebuah perusahaan BUMN (Badan Usaha Milik Negara) yang bergerak dalam Bidang Jasa Listrik kepada masyarakat, menjamin kesejahteraan para pegawainya dengan memberikan sejumlah uang atau gaji sesuai dengan jabatanya masing-masing sehingga dapat menunjang dalam hal efektifitas kerja pegawai.
Dalam hal pemberian sejumlah uang atau gaji tersebut PT PLN (Persero) Distribusi Jawa Barat dan Banten memberikan kebijakan bahwa setiap pegawai mempunyai peringkat gaji yaitu sebagai dasar pembayaran gaji dan tunjangan. Gaji yang diberikan merupakan hasil perhitungan dari gaji dasar, tunjangan-tunjangan dan potongan-potongan.
PT PLN (Persero) Distribusi Jawa Barat dan Banten sendiri merupakan perusahaan yang sudah terkomputerisasi namun perangkat lunak yang sudah ada sebelumnya masih ada kekurangan dan menyulitkan personil yang terlibat. Maka dari itu perlu adanya suatu pembangunan perangkat lunak agar lebih mempermudah dan mempercepat dalam melakukan proses pengolahan khususnya
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