On the available evidence for the temperature dependence of soil organic carbon

International audienceTwo recent papers by Knorr et al. (2005) and Fang et al. (2005) provide variations of model fitting conducted in the former study. Knorr et al. (2005) suggested that more recalcitrant fractions of soil organic carbon (SOC) could be more sensitive to temperature. Fang et al. (2005) argue that this is an implication of the choice of model used. Further, Reichstein et al. (2005) point out that the evidence for a stronger temperature sensitivity of recalcitrant soil carbon mainly rests on an analysis of data provided by Kätterer et al. (1998) and argue for a different selection criterion to exclude short-term incubations. Here, we explain why the model used by Knorr et al. (2005) is the simplest multi-pool model that can fit the available data and is at the same time fully consistent with the concept of "pools", as opposed to some of the model formulations proposed by Fang et al. (2005). It is also pointed out that the criterion proposed by Reichstein et al. (2005) uses posterior information to determine inclusion of experimental data, a practice that should be avoided. We conclude that the original analysis of Knorr et al. (2005) as well as the one added by Fang et al. (2005) indicate that there is a serious possibility that recalcitrant SOC reacts more to temperature changes than labile SOC

Local Visual Microphones: Improved Sound Extraction from Silent Video

Sound waves cause small vibrations in nearby objects. A few techniques exist in the literature that can extract sound from video. In this paper we study local vibration patterns at different image locations. We show that different locations in the image vibrate differently. We carefully aggregate local vibrations and produce a sound quality that improves state-of-the-art. We show that local vibrations could have a time delay because sound waves take time to travel through the air. We use this phenomenon to estimate sound direction. We also present a novel algorithm that speeds up sound extraction by two to three orders of magnitude and reaches real-time performance in a 20KHz video.Comment: Accepted to BMVC 201

MENCARI KEBERKAHAN DI KELENTENG TRIDARMA GIE HAP BIO KOMUNIKASI RITUAL DALAM TRADISI FANG SHENG 方生

Skripsi ini bertujuan untuk mengkaji tentang “Mencari Keberkahan Di Klenteng Tridarma Gie Hap Bio Komunikasi Ritual Dalam Tradisi fang sheng  (Studi Etnografi Komunikasi Pada Tradisi Fang sheng Di Klenteng Tri Darma Gie Hap Bio Kota Palembang Sumatera Selatan)”. Metode yang digunakan adalah metode studi etnografi holistic. Kemudian menggunakan teori interaksi simbolik dan etnografi komunikasi. Data diperoleh melalui teknik observasi dan wawancara dengan informan. Hasil dari penelitian ini adalah  Proses pelaksanaan terdapat dua tata cara dalam tradisi fang sheng, yakni secara individu dan dipimpin oleh biksu ataupun pandita. Tindakan Pengalaman komunikasi ritual dalam tradisi fang sheng terdapat dua bentuk tindakan komunkasi yakni komunikasi verbal dan non verbal. Etika dalam tradisi fang sheng terdapat beberapa larangan dan anjuran seperti hewan-hewan yang akan dibeli, tidak boleh dibeli sebelum hari pelaksanaan, tidak diperbolehkan untuk menangkap, memakan hewan yang telah mereka bebaskan. Kemudian hewan yang habitatnya di perairan sangat dianjurkan untuk dilepaskan di sungai yang mengalir. Upaya dalam pelestarian tradisi fang sheng dibutuhkan kesadaran diri sendiri, keyakinan dari masing masing umat, media massa, pelaksanaan di alam terbuka, keluarga, serta sering mengikuti ceramah. Orang tua memiliki peran penting mendidik anaknya supaya mampu memberikan contoh yang baik terhadap anak-anaknya

FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection. Unlike previous contextual models that have targeted performance, our focus is on representation learning. Compared to transductive models, FANG is scalable in training as it does not have to maintain all nodes, and it is efficient at inference time, without the need to re-process the entire graph. Our experimental results show that FANG is better at capturing the social context into a high fidelity representation, compared to recent graphical and non-graphical models. In particular, FANG yields significant improvements for the task of fake news detection, and it is robust in the case of limited training data. We further demonstrate that the representations learned by FANG generalize to related tasks, such as predicting the factuality of reporting of a news medium.Comment: To appear in CIKM 202

Shannon Snow, soprano; Paul Feaver, tenor; Leslee Heys, piano; Katie Fang, piano

Shannon Snow, soprano; Paul Feaver, tenor; Leslee Heys, piano; Katie Fang, pianoShannon Snow et al: presented in partial fulfilment of the requirements for Music 440B. -- Katie Fang: presented in partial fulfilment of the requirements for Music 345B