16S rRNA metabarcoding applied to the microbiome of insect products (novel food): a comparative analysis of three reference databases by Gabriele Spatola, Alice Giusti, Laura Gasperetti, Roberta Nuvoloni, Alessandra Dalmasso, Francesco Chiesa, Andrea Armani

“…The process involves a "dry-lab" phase where NGS data are processed through bioinformatic pipelines, which finally rely on taxonomic unit assignment against reference databases to assign them at order, genus, and species levels. …”
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End-to-end neural automatic speech recognition system for low resource languages by Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú

“…The rising popularity of end-to-end (E2E) automatic speech recognition (ASR) systems can be attributed to their ability to learn complex speech patterns directly from raw data, eliminating the need for intricate feature extraction pipelines and handcrafted language models. E2E-ASR systems have consistently outperformed traditional ASRs. …”
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sRrsR-Net: A New Low-Light Image Enhancement Network via Raw Image Reconstruction by Zhiyong Hong, Dexin Zhen, Liping Xiong, Xuechen Li, Yuhan Lin

“…For enhancing the raw images and restoring them back to normal-light sRGB, unlike traditional Image Signal Processing (ISP) pipelines, which are often bulky and integrate numerous processing steps, we propose the RRAW-to-sRGB module. …”
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Eliminating Inductive Coupling in Small-Loop TEM Through Differential Measurement with Opposing Coils by Xinghai Chen, Haiyan Yang, Tong Xia, Xiaoping Wu, Shengdong Liu

“…The results demonstrated that this method effectively identified a high-resistivity corrugated pipe at a depth of 1.2 m and two low-resistivity gas pipelines at a depth of 2 m, thereby essentially eliminating detection blind spots in the shallow subsurface.…”
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A probabilistic model-based approach to assess and minimize scaling in geothermal plants by Pejman Shoeibi Omrani, Jonah Poort, Eduardo G. D. Barros, Hidde de Zwart, Cintia Gonçalves Machado, Laura Wasch, Aris Twerda, Huub H. M. Rijnaarts, Shahab Shariat Torbaghan

“…The proposed modelling framework to demonstrate the optimization under uncertainty workflow consists of a multiphase flow solver coupled with a geochemistry model and an uncertainty quantification workflow to locally estimate the probability of precipitation potential, including its impact on the hydraulic efficiency of the geothermal plant by increasing the roughness and/or decreasing the diameter of the casings and pipelines. For plant operation optimization, a robust control problem is formulated with scenarios which are generated based on uncertainties in brine composition using an exhaustive search method. …”
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Tumor mutational burden quantification from targeted gene panels: major advancements and challenges by Sara Gandini, Laura Fancello, Pier Giuseppe Pelicci, Luca Mazzarella

“…Moreover, we highlight how various experimental, platform-related or methodological variables, as well as bioinformatic pipelines, influence panel-based TMB quantification. …”
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The Nexus Between Talent Management Attention and Artificial Intelligence: Evidence from Companies Operating Within the AI Domain

“…Investors can leverage TM insights to refine portfolio strategies, whereas policymakers are encouraged to implement initiatives such as grants for workforce training or public‒private partnerships to foster talent pipelines in the AI sector. These findings underscore the critical interplay between TM practices and market performance, providing actionable insights for navigating the complexities of the rapidly evolving AI industry.…”
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Characterizing the intrinsic and the one-dimensional heterogeneities of a niobium ore based on Pierre Gy’s Theory of Sampling by Ana Carolina Chieregati, Rafael Vaz Dias, Yuntang Lan

“…., the material flow on conveyor belts or in pipelines. This one-dimensional heterogeneity can be characterized with variography, by estimating the Heterogeneity Fluctuation Error (HFE). …”
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Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP by Florian Birk, Lucas Mahler, Julius Steiglechner, Qi Wang, Klaus Scheffler, Rahel Heule

“…This work emphasizes the advantages of in silico DNN MP-qMRI pipelines for rapid data generation and DNN training without extensive dictionary generation, long parameter inference times, or prolonged data acquisition, highlighting the flexible and rapid nature of lightweight machine learning applications for MP-qMRI.…”
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Design of generic vedic ALU using reversible logic by Kanchan S. Tiwari

“…Incorporating Vedic reversible logic with vinculum in FPGA design introduces a novel approach leveraging parallelism and pipelining for enhanced efficiency and performance. …”
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Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning by Binay Kumar Pandey, Digvijay Pandey, S. K. Sahani

“…One of the trickiest parts of the procedure is identifying defective sewerage pipelines and false negatives. In order to get rid of the false negative outcome or false positive outcome, a guided image filter (GIF) is implemented in this proposed method during the pre‐processing stage. …”
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A new approach for evaluating maize transgressive segregants and their three-way cross potential in the S4 convergent breeding population by Nuniek Widiayani, Muhammad Fuad Anshori, Nasaruddin Nasaruddin, Muh Farid, Ifayanti Ridwan, Abd. Haris Bahrun, Muhammad Azrai, Amin Nur, Purnama Isti Khaerani, Willy Bayuardi Suwarno, Karlina Syahruddin, Naeem Khan, Majed A. Alotaibi, Mahmoud F. Seleiman

“…However, the development of TS is necessary to accelerate maize breeding pipelines. Therefore, the objectives of this study were (1) to develop the concept of TS selection and (2) to select S4 TS maize to be developed as hybrid cross parents. …”
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Solar Flare Forecasting Using Hybrid Neural Networks by Dan Xu, Pengchao Sun, Song Feng, Bo Liang, Wei Dai

“…Intense solar flares can severely threaten communication and navigation systems, oil pipelines, and power grids on Earth. Therefore, it is crucial to establish highly accurate solar flare prediction models to enable humans to anticipate solar flare eruptions in advance, thereby reducing human and economic losses. …”
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Species of Sulfur in Sour Gas Reservoir: Insights from In Situ Raman Spectroscopy of S–H2S–CH4–H2O System and Its Subsystems from 20 to 250°C by Yifan Yu, Wenxuan Hu, I-Ming Chou, Lei Jiang, Ye Wan, Yiqun Li, Yang Xin, Xiaolin Wang

“…During gas extraction, the decomposition of H2Sn will cause S deposition in pipelines. (3) In addition to S3−, H2Sn could be the intermediate valence S species involved in the TSR reaction.…”
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Big data acquisition for underground infrastructure condition assessment by Chao Wang, Zhipeng Xiao, Yixian Wang, Fei Wang, Zili Li

“…The condition assessment of underground infrastructure (UI) is critical for maintaining the safety, functionality, and longevity of subsurface assets like tunnels and pipelines. This article reviews various data acquisition techniques, comparing their strengths and limitations in UI condition assessment. …”
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Comparative evaluation of cell-based assay technologies for scoring drug-induced condensation of SARS-CoV-2 nucleocapsid protein by Rui Tong Quek, Cyna R. Shirazinejad, Christina L. Young, Kierra S. Hardy, Samuel Lim, Phillip J. Elms, David T. McSwiggen, Timothy J. Mitchison, Pamela A. Silver

“…These approaches lack information on protein dynamics, are limited by microscope resolution, and are insensitive to subtle condensation phenotypes missed by overfit analysis pipelines. Here, we evaluate two alternative cell-based assays: high-throughput single molecule tracking (htSMT) and proximity-based condensate biosensors using NanoBIT (split luciferase) and NanoBRET (bioluminescence resonance energy transfer) technologies. …”
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Comparison of metabarcoding taxonomic markers to describe fungal communities in fermented foods by Rué, Olivier, Coton, Monika, Dugat-Bony, Eric, Howell, Kate, Irlinger, Françoise, Legras, Jean-Luc, Loux, Valentin, Michel, Elisa, Mounier, Jérôme, Neuvéglise, Cécile, Sicard, Delphine

“…The aim of this study was to compare metabarcoding pipelines and markers to determine fungal diversity in food ecosystems, from Illumina short reads. …”
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Effect of a single rectal fecal microbiota transplantation on clinical severity and fecal microbial communities in dogs with chronic inflammatory enteropathy by Jorge Pérez‐Accino, Mazdak Salavati, Laura Glendinning, Silke Salavati Schmitz

“…Sequencing of microbiota (16S rRNA, Illumina) was performed and compared by accepted analysis pipelines. Results Median CCECAI before FMT was 8 (range, 5‐14), decreased to a median of 3 (range, 1‐12) within 1 week and a median of 1 (range, 0‐12) by Day 30 (P < .01), with an average duration of response of approximately 10 weeks. …”
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Choosing the most suitable NGS technology to combine with a standardized viral enrichment protocol for obtaining complete avian orthoreovirus genomes from metagenomic samples by Sonsiray Álvarez-Narváez, Sonsiray Álvarez-Narváez, Telvin L. Harrell, Islam Nour, Sujit K. Mohanty, Steven J. Conrad

“…Virology researchers are constantly seeking new, cost-effective strategies and bioinformatic pipelines for the retrieval of complete viral genomes from these metagenomic samples. …”
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sORFdb – a database for sORFs, small proteins, and small protein families in bacteria by Julian M. Hahnfeld, Oliver Schwengers, Lukas Jelonek, Sonja Diedrich, Franz Cemič, Alexander Goesmann

“…Despite this, they are overlooked in many cases by automated genome annotation pipelines, and often, no functional descriptions can be assigned due to a lack of known homologs. …”
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