Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

“…Then, the measured point cloud is registered using the Fast Point Feature Histogram (FPFH) and Iterative Closest Point (ICP) algorithms to obtain the transformation matrix from the measured point cloud to the source point cloud. Finally, the drilling position and direction vectors were determined, thereby defining the drilling position. …”
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DMYTRО DONTSOV’S TEXTS IN THE ASPECT OF CORPUS LINGUISTICS AND LEXICOGRAPHY by Oksana R. Mykytyuk, Liliia V. Kharchuk

“…Through the use of large-scale empirical data and advanced computer technologies to reach objective insights into language function, linguistic corpora have quickly become invaluable resources. …”
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Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach by Zhengyuan Su, Huadong Jiang, Ying Yang, Xiangqing Hou, Yanli Su, Li Yang

“…Basic acoustic features (eg, Mel Frequency Cepstral Coefficients, formant frequencies, jitter, shimmer) and high-level statistical function (HSF) features (using OpenSMILE [Open-Source Speech and Music Interpretation by Large-Space Extraction] with the ComParE 2016 configuration) were extracted. …”
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Heterogeneous III-V/Si micro-ring laser array with multi-state non-volatile memory for ternary content-addressable memories by Stanley Cheung, Yanir London, Yuan Yuan, Bassem Tossoun, Yiwei Peng, Yingtao Hu, Thomas Van Vaerenbergh, Di Liang, Chong Zhang, Geza Kurczveil, Raymond G. Beausoleil

“…These non-volatile lasers are used to demonstrate optical ternary content-addressable memories (O-TCAM) which can find utility in fast memory search and in-memory computing functions necessary for various machine learning algorithms. …”
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Design and Fabrication of Cylindrical Fiber Backplanes with 2T1C Pixel Circuits for Truly Wearable Woven Displays by Jiseong Lee, Soyoon Park, Seong Uk Kong, Jiwoo Park, Daehyun Kim, Kyung Cheol Choi

“…The results validate fiber‐based TFTs as effective power sources for driving organic light‐emitting diodes, heralding next‐generation opportunities in truly wearable displays, smart textiles, and embedded electronics.…”
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Multipurpose uses of rapeseed (Brassica napus L.) crop (food, feed, industrial, medicinal, and environmental conservation uses) and improvement strategies in China by Ibrahim A.A. Mohamed, Nesma Shalby, Ali Mahmoud El-Badri, Eman F.A. Awad-Allah, Maria Batool, Muhammad Hamzah Saleem, Zongkai Wang, Jing Wen, Xianhong Ge, Zhenghua Xu, Jing Wang, Jie Kuai, Bo Wang, Guangsheng Zhou, Tingdong Fu

“…Furthermore, rapeseed serves as an essential nectar and pollen source for honey production, medicinal extracts, and anticancer compounds. …”
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ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN by Madiyar SULTANBEK, Nazdana ADILOVA, Aleksander SŁADKOWSKI, Arnur KARIBAYEV

“…The current case study specifically examines the National Company Kazakhstan Temir Zholy (KTZ), a transport and logistics holding engaged in rail transportation in Kazakhstan. KTZ’s main sources of income are related to freight transportation. …”
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Descriptive – Analytical Investigation of the Phenomenon of the Psyche from the View of Origin, Roots and Essence (Before and After the Renaissance of Neuroscience) by Mir Mahmoud Seyyedvalilou, Marziye Alivandi Vafa, Seyed Mahmoud Tabatabaei

“…Methods: The research methodology utilized Grounded Theory for fundamental concept formation and content analysis. …”
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Country-Level Bibliometric Analysis of Edible Insect Research: Geographic Distribution and Contributions to Advancing Sustainable Alternatives for Food and Feed by Budi Wardiman, Asmuddin Natsir, Syahriani Syahrir, Ulva Dianasari, null Ardianto

“…Insects like black soldier fly larvae, crickets, and mealworms are being explored as efficient protein sources for animal feed. Addressing food safety, allergenicity, and cultural barriers remains critical. …”
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visPIG--a web tool for producing multi-region, multi-track, multi-scale plots of genetic data. by Matthew Scales, Roland Jäger, Gabriele Migliorini, Richard S Houlston, Marc Y R Henrion

“…., to integrate data from multiple sources for interpretation and to easily create publication-ready figures. …”
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Maximizing Bifunctionality for Overall Water Splitting by Integrating H2 Spillover and Oxygen Vacancies in CoPBO/Co3O4 Composite Catalyst by Rinkoo Bhabal, Aniruddha Bhide, Suraj Gupta, Rohan Fernandes, Nainesh Patel

“…In the pursuit of utilizing renewable energy sources for green hydrogen (H2) production, alkaline water electrolysis has emerged as a key technology. …”
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MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

“…Recently, a new framework to embed GEMs in a neural network has been introduced: these hybrid models combine the strengths of mechanistic and data-driven approaches, offering a promising platform for integrating different data sources with mechanistic knowledge. In this study, we present a Metabolic-Informed Neural Network (MINN) that utilizes multi-omics data to predict metabolic fluxes in Escherichia coli, under different growth rates and gene knockouts. …”
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A powerful molecular marker to detect mutations at sorghum LOW GERMINATION STIMULANT 1 by Adedayo O. Adeyanju, Patrick J. Rich, Gebisa Ejeta

“…The LGS1 marker is useful for both detecting sources of lgs1 and introgressing Striga resistance into new genetic backgrounds.…”
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Optimizing agricultural biomass selection for biochar production using multicriteria decision-making by Ayodeji Raphael Ige, Grażyna Łaska, Grzegorz Świderski, Grzegorz Zając

“…Given the increasing demand for eco-friendly soil amendments, water treatment efficiency and renewable energy sources, identifying optimal agricultural biomass feedstocks is crucial. …”
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Istihsan in Determination of the Lunar Month: Jurisprudential Flexibility for Harmonizing the Ummah by Geubrina Rizky Ananda Sy, Nur Mahmudi Qiromi, Mahsun Mahsun, Amir Tajrid

“…Istihsan, which etymologically means "considering something better," remains a debated method of ijtihad among Islamic jurisprudence scholars (ushuliyyin), although still practically utilized. This study aims to explore how Istihsan functions as a jurisprudential catalyst in the application of astronomical science (Ilmu Falak), especially concerning the determination of lunar months, offering potential solutions for harmonizing differences among the Muslim community. …”
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Innovative uses of agricultural by-products in the food and beverage sector: A review by Hirpha Adugna Areti, Melkiyas Diriba Muleta, Lata Deso Abo, Abas Siraj Hamda, Ayele Assefa Adugna, Idosa Toyi Edae, Bulcha Jifara Daba, Rabira Lemessa Gudeta

“…The review also investigates the sustainable practices and environmental benefits associated with repurposing agricultural by-products, particularly fruit and vegetable peels, as sources of bioactive compounds, functional ingredients, and eco-friendly packaging materials. …”
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Spatially Explicit Assessments of Heat-Related Health Risks: A Literature Review by Yu Yao, Linlin Lu, Jiaqi Guo, Shuangcheng Zhang, Jie Cheng, Aqil Tariq, Dong Liang, Yonghong Hu, Qingting Li

“…The Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat surface temperature (LST) are identified as the two most widely utilized data sources for mapping heat hazards. The incorporation of multi-sensor observations, along with the implementation of spatiotemporal fusion and downscaling techniques, enhances both the spatial resolution and temporal frequency of heat hazard characterization. …”
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Unlocking iron: nutritional origins, metabolic pathways, and systemic significance by Zoha Imtiaz Malik, Muhammad Umer Ghafoor, Syed Hassan Bin Usman Shah, Juweria Abid, Umar Farooq, Abdul Momin Rizwan Ahmad, Abdul Momin Rizwan Ahmad

“…This review aims at providing a comprehensive analysis of iron’s dietary sources, metabolic role, physiological functioning, absorption enhancers and inhibitors, and systemic regulation, such as hepcidin’s role in iron homeostasis. …”
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Whole-Genome Resequencing Analysis of Copy Number Variations Associated with Athletic Performance in Grassland-Thoroughbred by Wenqi Ding, Wendian Gong, Tugeqin Bou, Lin Shi, Yanan Lin, Xiaoyuan Shi, Zheng Li, Huize Wu, Manglai Dugarjaviin, Dongyi Bai

“…Copy number variation (CNV) is an important source of genetic variation. However, studies utilizing whole-genome sequencing to investigate CNVs in horse populations and their effects on traits remain relatively limited. …”
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Stacked ensemble model for accurate crop yield prediction using machine learning techniques by Ramesh V, Kumaresan P

“…Historically, such predictions have utilized diverse data sources, including agricultural, land, climatic, atmospheric, and other pertinent information. …”
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