Raman spectroscopic techniques for meat analysis: A review by V. A. Pchelkina, I. M. Chernukha, L. V. Fedulova, N. A. Ilyin

“…From the analysis of one sample, you can get a large amount of information about the structure of proteins, the composition of fatty acids, organoleptic parameters, autolysis and spoilage indicators, authentication of raw materials, technological properties. An important advantage of the method is the comparability of the results obtained with the data of traditional analytical methods. …”
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A global study on the Life Cycle Assessment (LCA) of the modern cow leather industry by F. Brugnoli, K. Sena, L. Zugno, A. Oggioni

“…A need for more basic data on raw material allocation, processing, and chemicals was identified. …”
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Infrared Monocular Depth Estimation Based on Radiation Field Detail Enhancement by Rihua Hao, Chao Xu, Chonghao Zhong

“…Their combination is crucial for day and night 3D perception, yet it faces two key challenges: 1) inadequate processing of 14-bit RAW data, leading to loss of subtle infrared information, and 2) the resolution limitation of current infrared datasets (existing <inline-formula> <tex-math notation="LaTeX">$640\times 512$ </tex-math></inline-formula> sensor collections restrict the camera&#x2019;s ability to capture critical scene details). …”
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GRSNet: An Ultra-Lightweight Neural Network for 3D Point Cloud Classification and Segmentation by Zourong Long, Gen Tan, You Wu, Hong Yang, Chao Ding

“…The processing of point cloud data has become a significant area of research in the modern field of perception. …”
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Construction of Fully Automated Key Production Line by Guo-Cheng Lee, Yi-Hsuan Chiu, Kuang-Chyi Lee

“…The production line consists of seven processing stations: raw materials uploading, groove milling, laser marking, key tooth cutting, deburring, defects inspection, and a discharge station. …”
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ANATOMIC STRUCTURE OF CAMPANULA ROTUNDIFOLIA L. GRASS by V. N. Bubenchikova, E. A. Nikitin

“…Despite its dispersion and application in folk medicine, there are no data about its anatomic structure, therefore to estimate the indices of authenticity and quality of raw materials it is necessary to develop microdiagnostical features in the first place, which could help introducing of thisplant in a medical practice. …”
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NATIONAL RURAL DEVELOPMENT PROGRAMME - NRDP 2014-2020 CONTRIBUTION TO MARKET INTEGRATION OF SMALL AND MEDIUM-SIZED FARM PRODUCTION IN ROMANIA by Monica Mihaela TUDOR, Vili DRAGOMIR, Marian BUȚU

“…The study showed that, during the analysed period, Romania consolidated its position as a supplier of agricultural raw materials with low added value and, on the same time, its dependence on processed food imports significantly increased. …”
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Metabolomics of black beans (Phaseolus vulgaris L.) during atmospheric pressure steaming and in vitro simulated digestion by Lu Bai, Zhiming Li, Shu Zhang, Yuchao Feng, Miao Yu, Tong Wu, Changyuan Wang

“…During in vitro digestion, the amino acid content increased and the phenolic content decreased, with amino acid synthesis, phenolic degradation, and conversion predominating. This study provides data to support the changes in black beans metabolites during atmospheric steam processing and in vitro digestion.…”
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Survey on vertical federated learning: algorithm, privacy and security by Jinyin CHEN, Rongchang LI, Guohan HUANG, Tao LIU, Haibin ZHENG, Yao CHENG

“…., model parameters, parameter gradients, embedding representation, etc.） applied to data distributed across various institutions.FL reduces the risk of privacy leakage, since raw data is not allowed to leave the institution.According to the difference in data distribution between institutions, FL is usually divided into horizontal federated learning （HFL）, vertical federated learning （VFL）, and federal transfer learning （TFL）.VFL is suitable for scenarios where institutions have the same sample space but different feature spaces and is widely used in fields such as medical diagnosis, financial and security of VFL.Although VFL performs well in real-world applications, it still faces many privacy and security challenges.To the best of our knowledge, no comprehensive survey has been conducted on privacy and security methods.The existing VFL was analyzed from four perspectives: the basic framework, communication mechanism, alignment mechanism, and label processing mechanism.Then the privacy and security risks faced by VFL and the related defense methods were introduced and analyzed.Additionally, the common data sets and indicators suitable for VFL and platform framework were presented.Considering the existing challenges and problems, the future direction and development trend of VFL were outlined, to provide a reference for the theoretical research of building an efficient, robust and safe VFL.…”
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An Electrocardiogram Signal Preprocessing Strategy in LSTM Algorithm for Biometric Recognition by Fenny Winda Rahayu, Mohammad Reza Faisal, Dodon Turianto Nugrahadi, Radityo Adi Nugroho, Muliadi Muliadi, Sri Redjeki

“…The experimental results were that LSTM classification with R Peak Segmentation preprocessing obtained the highest accuracy on the two data used, namely filtered and raw data, with 80.7% and 78.95%, respectively. …”
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Use of industrial hemp byproducts in ruminants: a review of the nutritional profile, animal response, constraints, and global regulatory environment by Agung Irawan, Hunter Buffington, Serkan Ates, Massimo Bionaz

“…These byproducts contain diverse phytochemicals with antioxidants, anti-inflammatory, and antimicrobial properties. Data do not reveal any significant concern for the health of the animals fed hemp byproducts and, with few exceptions, the data do not indicate a substantial effect on performance; dietary inclusion of HSB, however, has a deleterious impact on rumen fermentation and nutrient digestibility when given as raw HSB without dehulling, reducing the growth performance of meat-producing ruminants. …”
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High-resolution phenomics dataset collected on a field-grown, EMS-mutagenized sorghum population evaluated in hot, arid conditions by Jeffrey Demieville, Brian Dilkes, Andrea L. Eveland, Duke Pauli

“…Approximately 194 terabytes of raw and processed phenotypic image data were generated over two growing seasons (2020 and 2022) on a population of 434 sequence-indexed, EMS-mutagenized sorghum lines in the genetic background BTx623; the population was grown under well-watered and water-limited conditions. …”
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Intelligent denoiser of plasma waves by SS-520-3 sounding rocket experiment toward future EMC challenges in miniaturized platform chassis by Mitsunori Ozaki, Ray Morita, Akihiro Hirano, Satoshi Yagitani, Yoshiya Kasahara, Takahiro Zushi, Satoshi Kurita, Hirotsugu Kojima

“…To address future EMC challenges from the perspective of signal processing, we applied an intelligent denoiser, incorporating waveform clustering and inpainting, to denoise impulse and frequency–sweeping interference signals from raw wave data collected by the SS-520-3 sounding rocket. …”
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Development and Validation of a Portable Human Body Joint Power Test System by Lin Li, Zhongqiu Ji, Ye Xia, Rui Gong

“…The raw data was smoothed with a Butterworth low-pass filter. …”
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Channel Phase Error Compensation for MIMO-SAR by Lei Zhang, Yunkai Deng, Robert Wang

“…In this paper, a new algorithm based on raw data is presented to remove the channel phase error. …”
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High-Precision Spotlight SAR Imaging with Joint Modified Fast Factorized Backprojection and Autofocus by Man Zhang, Haolin Li, Guanyong Wang

“…In this paper, we make some essential modifications to the original FFBP and present a scheme to incorporate overlapped-subaperture frame for an accurate PGA processing. The raw data collected by an airborne high-resolution spotlight SAR are used to demonstrate the performance of this algorithm.…”
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Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery by Robert Vogel, Björn Mück

“…In contrast, DL, a subset of ML, generally leverages unlabeled, raw data such as images and videos to autonomously identify patterns and make intricate deductions. …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…This study presents the main approaches, algorithms, and data processing methods, including geoinformation systems (GIS), clustering, optimization algorithms, and various types of neural networks such as convolutional, recurrent, and deep networks. …”
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Machine Learning-Based Methodology for Fast Assessment of Battery Health Status by Woongchul Choi

“…While conventional methods require significant measurement time, this study demonstrates that accurate static capacity estimation is possible using only short-term partial discharge data (6 min under 1C-rate CC conditions) by leveraging an RNN (recurrent neural network) architecture specialized for time-series data processing. …”
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Corrosion type identification in flanged joints using recurrent neural networks on electrochemical noise measurements by Soroosh Hakimian, Abdel-Hakim Bouzid, Lucas A. Hof

“…Electrochemical noise (EN) measurements can detect such corrosion, yet processing EN data is time-consuming and requires expertise. …”
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