Utilization of solar and wind energy to improve the quality of life for rural communities in Blora Regency – Indonesia: from triple helix to quadruple helix

5th International Conference Planning in the Era of Uncertainty (5th ICPEU 2021) 19th July 2021, Malang, IndonesiaStudies of triple helix field indicated that involvement of academician, business, government (ABG) were leading players in bringing up invention to be innovation. In the current decade, society actor served as the new actor added in the ABG-S frame concerning to the sustainability issue of innovation. This study aimed to present the role of the concerned actors in proposing an innovative product of a combined solar and wind energy generator installed in rural areas of Blora Regency. Blora was one of the regions in the Central Java Province that utilized electrical energy sourced from non-fossil. A Qualitative research method was utilized in this study to disclose the involvement of each actor in Blora's case. The study reported that ABG-S actors' involvement in implementing a combined solar and wind energy generator to the villages

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects

We propose an end-to-end music mixing style transfer system that converts the mixing style of an input multitrack to that of a reference song. This is achieved with an encoder pre-trained with a contrastive objective to extract only audio effects related information from a reference music recording. All our models are trained in a self-supervised manner from an already-processed wet multitrack dataset with an effective data preprocessing method that alleviates the data scarcity of obtaining unprocessed dry data. We analyze the proposed encoder for the disentanglement capability of audio effects and also validate its performance for mixing style transfer through both objective and subjective evaluations. From the results, we show the proposed system not only converts the mixing style of multitrack audio close to a reference but is also robust with mixture-wise style transfer upon using a music source separation model

VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance

Restoring degraded music signals is essential to enhance audio quality for downstream music manipulation. Recent diffusion-based music restoration methods have demonstrated impressive performance, and among them, diffusion posterior sampling (DPS) stands out given its intrinsic properties, making it versatile across various restoration tasks. In this paper, we identify that there are potential issues which will degrade current DPS-based methods' performance and introduce the way to mitigate the issues inspired by diverse diffusion guidance techniques including the RePaint (RP) strategy and the Pseudoinverse-Guided Diffusion Models ($\Pi$GDM). We demonstrate our methods for the vocal declipping and bandwidth extension tasks under various levels of distortion and cutoff frequency, respectively. In both tasks, our methods outperform the current DPS-based music restoration benchmarks. We refer to \url{http://carlosholivan.github.io/demos/audio-restoration-2023.html} for examples of the restored audio samples

Removing Distortion Effects in Music Using Deep Neural Networks

Audio effects are an essential element in the context of music production, and therefore, modeling analog audio effects has been extensively researched for decades using system-identification methods, circuit simulation, and recently, deep learning. However, only few works tackled the reconstruction of signals that were processed using an audio effect unit. Given the recent advances in music source separation and automatic mixing, the removal of audio effects could facilitate an automatic remixing system. This paper focuses on removing distortion and clipping applied to guitar tracks for music production while presenting a comparative investigation of different deep neural network (DNN) architectures on this task. We achieve exceptionally good results in distortion removal using DNNs for effects that superimpose the clean signal to the distorted signal, while the task is more challenging if the clean signal is not superimposed. Nevertheless, in the latter case, the neural models under evaluation surpass one state-of-the-art declipping system in terms of source-to-distortion ratio, leading to better quality and faster inference.Comment: Audio clips available at https://joimort.github.io/distortionremoval/; 10 pages, 7 figure

Real-world evaluation of carboplatin plus a weekly dose of nab-paclitaxel for patients with advanced non-small-cell lung cancer with interstitial lung disease

Satoshi Igawa,1 Noriko Nishinarita,1 Akira Takakura,1 Takahiro Ozawa,1 Shinya Harada,1 Seiichiro Kusuhara,1 Hideyuki Niwa,2 Shinji Hosotani,1 Hideyuki Sone,1 Yoshiro Nakahara,1,3 Tomoya Fukui,1 Hisashi Mitsufuji,4 Masanori Yokoba,5 Masaru Kubota,1 Masato Katagiri,5 Jiichiro Sasaki,6 Katsuhiko Naoki1 1Department of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara 252-0374, Kanagawa, Japan; 2Department of Respiratory Medicine, National Hospital Organization Nagoya Medical Center, Nagoya 460-0001, Aichi, Japan; 3Department of Thoracic Oncology, Kanagawa Cancer Center, Yokohama 241-8515, Kanagawa, Japan; 4Kitasato University School of Nursing, Sagamihara 252-0329, Kanagawa, Japan; 5School of Allied Health Sciences, Kitasato University, Sagamihara 252-0373, Kanagawa, Japan; 6Research and Development Center for New Medical Frontiers, Kitasato University School of Medicine, Sagamihara 252-0374, Kanagawa, Japan Background: The optimal chemotherapy regimen for non-small-cell lung cancer (NSCLC) patients with interstitial lung disease (ILD) remains unknown. Therefore, in this study, we investigated the real-world efficacy and safety of carboplatin (CBDCA) plus nab-paclitaxel (nab-PTX) as a first-line regimen for NSCLC patients with ILD. Patients and methods: We retrospectively reviewed advanced NSCLC patients with ILD who had received CBDCA plus nab-PTX as a first-line chemotherapy regimen between April 2013 and March 2018. Patients were diagnosed with ILD based on the findings of a pretreatment high-resolution computed tomography of the chest. Results: The 34 patients enrolled in this study were included in the efficacy and safety analysis. Collagen vascular disease or a history of exposure to dust or asbestos was not reported for any patients. The median age of patients was 71 years (range, 59–83 years), and 32 patients had a performance status of 0 or 1. The overall response rate was 38.2%. The median progression-free survival and overall survival were 5.8 months and 12.7 months, respectively. Chemotherapy-related acute exacerbation of ILD was observed in two patients (5.7%). Other toxicities were feasible, and no treatment-related deaths occurred. Conclusion: CBDCA plus nab-PTX, as a first-line chemotherapy regimen for NSCLC, showed favorable efficacy and safety in patients with preexisting ILD. Keywords: interstitial lung disease, non-small-cell lung cancer, carboplatin, nab-paclitaxe