1,722,297 research outputs found
Effect of oxide resistance on the characterization of interface trap density in MOS structures
Distributionally restricted items:Acquisition and beyond
This paper explores the learnability of English indefinite any, Dutch modal verb hoeven, and Mandarin Chinese (WH-)indefinite/pronoun shenme. These three expressions, belonging to different syntactic categories in different languages, have been referred to as Negative Polarity Items (NPIs) in the literature, as they are all restricted to contexts that in some sense count as negative although there are differences in the types of semantic environment that may license them. By investigating the distribution of these three expressions in both child and child-directed speech recorded in the CHILDES database (MacWhinney 2009), this paper argues that children in their acquisition of these NPIs employ the same conservative widening learning strategy (Berwick and Weinberg 1986; Manzini and Wexler 1987), which prevents them from overgeneration. A two-stage acquisition process is detected for each of the three NPIs. However, distinct learning pathways are found, which we take as evidence indicating different underlying analyses of these expressions at different stages in child language. Taking into consideration the input characteristics, the distributional patterns of the three expressions in adult grammar, and the children’s lexical development, we hypothesize what the analyses of any, hoeven, and shenme at different acquisition stages look like. This provides us with a different view of the nature, or the reason underlying the restricted distribution of these expressions in adult language
ANALISIS KETIADAAN DETEKSI KAPAL MT. LIN JING DI KAPAL MT. NUSA MERDEKA PADA SAAT VOY 001/L/2023 DI LAUT CHINA SELATAN
ABSTRAKSI
Efendi, Romi. NIT. 572011137865 N, 2024, ”Analisis Ketiadaan Deteksi Kapal
MT. Lin Jing di Kapal MT. Nusa Merdeka Pada Saat Voy 001/L/2023 di
Laut China Selatan”, Program Diploma IV, Program Studi Nautika,
Politeknik Ilmu Pelayaran Semarang, Dosen Pembimbing I : Wahju
Wibowo, S.Sos., M.Psi., M.Mar Pembimbing II : Fitri Zuhriyah, S.Psi.,
M.Sc.
Radar merupakan salah satu alat navigasi terpenting di atas kapal untuk
mendeteksi benda-benda di sekitar kapal dan memudahkan officer di atas kapal
untuk mengetahui kapal-kapal lain yang mendekat dan benda-benda di sekitar
kapal pada saat cuaca di sekitar kapal sedang tidak mendukung atau berkabut
untuk menghindari kejadian tubrukan ataupun marabahaya lain yang dapat
menyebabkan kapal rusak dan membahayakan semua kru di atas kapal. Tujuan
dari penelitian ini adalah untuk mengetahui penyebab radar kapal yang tidak
bekerja secara optimal untuk mendeteksi benda-benda di sekitar kapal.
Jenis metode penelitian yang digunakan peneliti dalam menyusun penelitian
ini menggunakan metode penelitian kualitatif. Metode pengumpulan data yang
peneliti lakukan adalah dengan cara observasi, wawancara, dan dokumentasi
untuk memperkuat dalam menganalisa data.
Hasil pembahasan penelitian ini adalah tidak sesuainya hasil akhir dengan
rencana muat yang telah ditetapkan sebelumnya, dapat disimpulkan bahwa yang
menjadi penyebab ketiadaan deteksi kapal MT. Lin Jing di kapal MT. Nusa
Merdeka adalah kurangnya perawatan terhadap radar di kapal MT. Nusa
Merdeka yang mengakibatkan kurang optimalnya radar untuk mendeteksi kapal
dan benda-benda di sekitar kapal. Upaya yang dilakukan untuk mencegah
kurangnya kinerja radar di kapal yaitu rutin melakukan perawatan dan
pergantian magnetron radar kapal sesuai dengan manual book yang ada
Supplementary material - Supplemental material for Synthesis, Characterization, and Antioxidant Activity of 8-Hydroxygenistein
Supplemental material, Supplementary material, for Synthesis, Characterization, and Antioxidant Activity of 8-Hydroxygenistein by Jin Shao, Tong Zhao, Hui-Ping Ma, Zheng-Ping Jia and Lin-Lin Jing in Natural Product Communications</p
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
Semi-supervised Learning Using Teacher-student Models for Vocal Melody Extraction
The lack of labeled data is a major obstacle in many music information retrieval tasks such as melody extraction, where labeling is extremely laborious or costly. Semi-supervised learning (SSL) provides a solution to alleviate the issue by leveraging a large amount of unlabeled data. In this paper, we propose an SSL method using teacher-student models for vocal melody extraction. The teacher model is pre-trained with labeled data and guides the student model to make identical predictions given unlabeled input in a self-training setting. We examine three setups of teacher-student models with different data augmentation schemes and loss functions. Also, considering the scarcity of labeled data in the test phase, we artificially generate large-scale testing data with pitch labels from unlabeled data using an analysis-synthesis method. The results show that the SSL method significantly increases the performance against supervised learning only and the improvement depends on the teacher-student models, the size of unlabeled data, the number of self-training iterations, and other training details. We also find that it is essential to ensure that the unlabeled audio has vocal parts. Finally, we show that the proposed SSL method allows a simple convolutional recurrent neural network model to achieve performance comparable to state-of-the-arts
Variations on the Author
“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
We 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
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