Penerapan Online Dispute Resolution pada Badan Penyelesaian Sengketa Konsumen dalam Menyelesaikan Sengketa Perdagangan Elektronik

Sektor ekonomi telah mengalami digitalisasi, tidak terkecuali dalam perdagangan. Digitalisasi perdagangan memang membawa efisiensi dan efektivitas dengan hadirnya perdagangan melalui sistem elektronik (PMSE). Namun, masalah hukum terjadi dengan bukti angka sengketa konsumen yang bertransaksi melalui PMSE mendominasi laporan konsumen yang diterima oleh Kementerian Perdagangan Republik Indonesia. Di tengah angka sengketa yang tinggi, mekanisme penyelesaian sengketa yang ditawarkan masih konvensional sehingga tidak efisien dalam segi waktu dan biaya. Penelitian ini bertujuan untuk mengkaji permasalahan pada Badan Penyelesaian Sengketa Konsumen (BPSK) yang ada sekarang dan menemukan mekanisme penyelesaian sengketa konsumen yang optimal dengan membandingkan penerapan berbagai mekanisme di negara lain. Metode yang digunakan adalah penelitian hukum normatif dengan studi pustaka (library research) dan pendekatan perundang-undangan (statute approach). Hasil penelitian menunjukkan bahwa jawaban atas kekurangan dari mekanisme penyelesaian sengketa konsumen konvensional telah disebut dalam Peraturan Pemerintah Republik Indonesia Nomor 80 Tahun 2019 tentang Perdagangan Melalui Sistem Elektronik (PP PMSE) yaitu online dispute resolution (ODR). Namun, hingga sekarang, belum ada peraturan komprehensif mengenai ODR sehingga penerapannya pun belum maksimal. Padahal, ODR mampu memberikan efisiensi waktu dan biaya lewat segala fitur dan inovasi padanya, misalnya dengan fitur artificial intelligence dan sistem double blind bidding. Maka dari itu, penelitian ini juga akan menjabarkan langkah rancang bangun sistem ODR di Indonesia.Kata kunci: Sengketa Konsumen; Penyelesaian Sengketa Daring; Perdagangan Elektronik; Perdagangan; BPS

Multichannel Attention Network for Analyzing Visual Behavior in Public Speaking

Public speaking is an important aspect of human communication and interaction. The majority of computational work on public speaking concentrates on analyzing the spoken content, and the verbal behavior of the speakers. While the success of public speaking largely depends on the content of the talk, and the verbal behavior, non-verbal (visual) cues, such as gestures and physical appearance also play a significant role. This paper investigates the importance of visual cues by estimating their contribution towards predicting the popularity of a public lecture. For this purpose, we constructed a large database of more than $1800$ TED talk videos. As a measure of popularity of the TED talks, we leverage the corresponding (online) viewers' ratings from YouTube. Visual cues related to facial and physical appearance, facial expressions, and pose variations are extracted from the video frames using convolutional neural network (CNN) models. Thereafter, an attention-based long short-term memory (LSTM) network is proposed to predict the video popularity from the sequence of visual features. The proposed network achieves state-of-the-art prediction accuracy indicating that visual cues alone contain highly predictive information about the popularity of a talk. Furthermore, our network learns a human-like attention mechanism, which is particularly useful for interpretability, i.e. how attention varies with time, and across different visual cues by indicating their relative importance

Construction of some special subsequences within a Farey sequence

Recently it has been found that some special subsequences within a Farey sequence play a crucial role in determining the ranges of coupling constant for which quantum soliton states can exist for an integrable derivative nonlinear Schrodinger model. In this article, we find a novel mapping which connects two such subsequences belonging to Farey sequences of different orders. By using this mapping, we construct an algorithm to generate all of these special subsequences within a Farey sequence. We also derive the continued fraction expansions for all the elements belonging to a subsequence and observe a close connection amongst the corresponding expansion coefficients.Comment: latex, 8 page

Quantum integrability of bosonic Massive Thirring model in continuum

By using a variant of the quantum inverse scattering method, commutation relations between all elements of the quantum monodromy matrix of bosonic Massive Thirring (BMT) model are obtained. Using those relations, the quantum integrability of BMT model is established and the S-matrix of two-body scattering between the corresponding quasi particles has been obtained. It is observed that for some special values of the coupling constant, there exists an upper bound on the number of quasi-particles that can form a quantum-soliton state of BMT model. We also calculate the binding energy for a N-soliton state of quantum BMT model.Comment: Latex, 23 pages, no figure

The Structural Relationship between Current and Capital Account Balance in India: A Time Series Analysis

The long run relationship between current account balance (CAB) and capital account balance (KAB) and the repercussions of capital account convertibility (KAC) on growth process of a country is a much debated issue. In particular, in the aftermath of the Southeast Asian crisis, the limitation of the liberal capital regime for a developing country like India is often highlighted in the literature. However, the probable impact of introducing KAC on CAB in India generally is discussed theoretically. Though some of the existing studies in India have earlier focused on this research question, they have done so by exogenously assuming the existence of a single structural break in the interrelationship between CAB and KAB. The present study intends to bridge the gap in the literature by raising two empirical questions: first, how far KAC is likely to destabilize the CAB and second, measuring the strength of the interrelationship between CAB and KAB. The current paper also contributes to the literature by incorporating multiple endogenous structural breaks in the empirical analysis. The empirical findings do not support any long term relationship between capital and current account balance and reveals that two significant structural breaks are observed in 1993-94 and 2003-04.International Capital Movements, Foreign Exchange, Current Account Adjustment

Condition assessment of the northern climatic research house at the USDA forest service forest products laboratory

In 2001 a Northern Climatic Test House (the House) was constructed to demonstrate appropriate and novel building techniques and materials for the upper Midwest region of the USA. The House is a 2,300-square-foot, two-story structure located on the grounds of the USDA Forest Service Forest Products Laboratory (FPL) in Madison, Wisconsin. It is considered a research structure and not part of the FPL’s building inventory. Following construction, the House was heated and cooled but not occupied. Regular (sometimes daily) tours were conducted from it’s opening until about 2008, when tours had diminished to less than one per week. Since eliminating regular tours, the house has been used occasionally for special events, intermittent tours, and storage. In May-July 2023 a visual and minimally invasive condition assessment was performed on the House. This report details the findings of this assessment. This report focuses on existing or potential problem areas