Why India is struggling to feed their young children? A qualitative analysis for tribal communities by Sanjay Sharma, Monica Lakhanpaul, Logan Manikam, Priti Parikh, Lorna Benton, Shereen Allaham, Rajesh Khanna, Susrita Roy, Marie Lall, Virendra Kumar Vijay, Neha Santwani, Hanimi Reddy, Hemant Chaturvedi, Satya Prakash Pattanaik, Tol Singh, Pramod Pandya, Priyanka Dang

“…Objective This interdisciplinary qualitative study aims to explore the health, education, engineering and environment factors impacting on feeding practices in rural India. The ultimate goal of the Participatory Approach for Nutrition in Children: Strengthening Health Education Engineering and Environment Linkages project is to identify challenges and opportunities for improvement to subsequently develop socioculturally appropriate, tailored, innovative interventions for the successful implementation of appropriate infant and young child feeding (IYCF) practices locally.Design Qualitative research method, involving five phases: (1) identification of local feeding practices; (2) identification of the local needs and opportunities for children aged 6–24 months; and (3–5) analysis of the gathered qualitative data, intervention design, review and distribution.Setting Nine villages in two community development blocks, that is, Ghatol and Kushalgarh, located in the Banswara district in Rajasthan, India.Participants 68 participants completed semistructured interviews or focus group discussions including: mothers, grandmothers, auxiliary nurse midwife, Anganwadi worker, ASHA Sahyogini, school teachers and local elected representative.Phenomenon of interest IYCF practices and the factors associated with it.Analysis Thematic analysis.Results Our results could be broadly categorised into two domains: (1) the current practices of IYCF and (2) the key drivers and challenges of IYCF. …”
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An Unbound Network Coding for Extended IEEE 802.16j Multihop Relay Network by Adisak Sukul, J. Morris Chang, Pattarasinee Bhattarakosol

“…It aims to enhance the coverage, per user throughput of IEEE 802.16e. Comparing with a base station (BS), RS does not need a wireline backhaul and has much lower hardware complexity. …”
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Utilization of green algae Caulerpa racemosa as feed ingredient for tiger shrimp Penaeus monodon by Widya Puspitasari, Dedi Jusadi, Mia Setiawati, Julie Ekasari, Abidin Nur, Iwan Sumantri

“…ABSTRACT   The study aimed to evaluate the utilization of seaweed Caulerpa racemosa as feed ingredient for tiger shrimp Penaeus monodon. …”
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Retracted: Deep Learning-Guided Simulated Annealing for Designing Vocational High Educational System by Applied Bionics and Biomechanics

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›Der leere Platz‹. Überlegungen zur Anfangswendung von Beethovens Streichquartett op. 130 by Benjamin Sprick

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DC-NNMN: Across Components Fault Diagnosis Based on Deep Few-Shot Learning by Juan Xu, Pengfei Xu, Zhenchun Wei, Xu Ding, Lei Shi

“…That means training with one component sample but testing with another component sample has not been resolved. In this paper, we propose a deep convolutional nearest neighbor matching network (DC-NNMN) based on few-shot learning. …”
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Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network by Junhui Liu, Yajuan Jia, Yaya Wang

“…This method establishes an objective optimization function first, which contains the training of RBM deep learning network based on the real driver behavior data. …”
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Transcriptomic analysis of melatonin on the mechanism of embryonic gonadal development in female Jilin white geese by Jin Yu, Ichraf Mabrouk, Qiuyuan Liu, Yuxuan Zhou, Yupu Song, Jingyun Ma, Fengshuo Liu, Xiangman Hu, Zhiyi Yang, Yuxia Zeng, Jingtao Hu, Yongfeng Sun

“…In conclusion, this study elucidates the potential regulatory role of melatonin in gonadal development in geese, identifying candidate genes involved in early gonadal differentiation and maturation. …”
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Advanced Defect Detection on Curved Aeronautical Surfaces Through Infrared Imaging and Deep Learning by Leith Bounenni, Mohamed Arbane, Clemente Ibarra-Castanedo, Yacine Yaddaden, Sreedhar Unnikrishnakurup, Andrew Ngo Chun Yong, Xavier Maldague

Subjects: “…deep learning…”
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Effect of a Deep Cryogenic Treatment on Wear and Microstructure of a 6101 Aluminum Alloy by Volker Franco Steier, Edgar Sobral Ashiuchi, Lutz Reißig, José Alexander Araújo

“…The aim of this work is to evaluate the effect of a deep cryogenic treatment (DCT) on the wear behavior and on the microstructure of an aluminum alloy. …”
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Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Haoming Zhang, Yue Qi, Xiaoting Xue, Yahui Nan

“…For ancient stone inscriptions, we should obtain more perfect digital results without multiple types of noise, while there are few deep learning methods designed for processing stone inscription images. …”
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Optimization of the Gas Content Evaluation Method for Deep Coal Seams Based on Diffusion Models by Shilong Li, Songhang Zhang, Jian Wu, Shuheng Tang, Zhaodong Xi, Tengfei Jia, Qian Zhang

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A Deep Graph-Embedded LSTM Neural Network Approach for Airport Delay Prediction by Weili Zeng, Juan Li, Zhibin Quan, Xiaobo Lu

“…Due to the strong propagation causality of delays between airports, this paper proposes a delay prediction model based on a deep graph neural network to study delay prediction from the perspective of an airport network. …”
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Reproductive efficiency of ewe lambs kept on tropical pastures under different feeding systems by L.M. Higano, C.C.B.F. Ítavo, L.C.V. Ítavo, G.S. Difante, G.K.A. Melo, P.C.G. Silva, K.L.S. Monteiro, E.S.M. Soares, T.F.F.S. Arco, P.B. Andrade, A.A.S. Miguel, F.G.G. Oliveira, E.L.M. Ribeiro, A.L.C. Gurgel

“…ABSTRACT The aim of this study was to analyze the productive and reproductive performance of lambs submitted to different forms of feed supplementation in the growth phase and breeding season. …”
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Features to Text: A Comprehensive Survey of Deep Learning on Semantic Segmentation and Image Captioning by Ariyo Oluwasammi, Muhammad Umar Aftab, Zhiguang Qin, Son Tung Ngo, Thang Van Doan, Son Ba Nguyen, Son Hoang Nguyen, Giang Hoang Nguyen

“…With the emergence of deep learning, computer vision has witnessed extensive advancement and has seen immense applications in multiple domains. …”
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Research on the Evolution Characteristics of Floor Stress and Reasonable Layout of Roadways in Deep Coal Mining by Yang Yu, Lianying Zhang, Jianfei Lu, Dingchao Chen, Xiangqian Zhao, Limin Liu

“…The safe and efficient mining of deep coal resources is severely restricted by the dynamic disasters caused by high gas and high ground stress. …”
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More is needed to end TB: commentary on the United Nations High-Level Meeting on TB by G. B. Migliori, V. Bhatia, L. D'Ambrosio, M. C. B. Raviglione, S. Rijal

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Development and validation of a deep learning-enhanced prediction model for the likelihood of pulmonary embolism by Yu Tian, Yu Tian, Jingjie Liu, Shan Wu, Yucong Zheng, Rongye Han, Qianhui Bao, Lei Li, Lei Li, Tao Yang

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Fermentation of Azolla sp. leaves and the utilization as a feed ingredient of tilapia Oreochromis sp. by Nur Bambang Priyo Utomo, Nurfadhilah ., Julie Ekasari

“…The fish used in this study was tilapia Oreochromis sp. with an average weight of 10.59±1.29 g. The design of the feeding treatments was repeletting commercial feed with Azolla leaves by with different supplementation levels, i.e. 0% (A/control), 30% (B), 60% (C), and 90% (D). …”
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How Toyota's approach towards marketing communications helps keep everything going right by Zoltan de Rosner

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