ContDataQC: An R package and Shiny app for quality control of continuous water quality sensor data by Michael J. Pennino, Jen Stamp, Erik W. Leppo, David A. Gibbs, Britta G. Bierwagen

“…ContDataQC helps users speed up and standardize the QC process, minimize undetected data errors, and make full use of their sensor data. It has three main functions: generate QC reports to detect anomalies and erroneous data values, merge QC'd data files from different time periods, and generate time series plots and basic summary statistics. …”
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Innovative Sandia Frequency Shift Islanding Detection for Microgrids Using Interval Type-II Fuzzy Logic and VP-PSO Optimization by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yeonwoo Lee, Sun-Kyoung Kang, Ilhami Colak, El Manaa Barhoumi, Kei Eguchi

“…Using probability density functions (PDFs), multiple uncertainty scenarios were generated, with representative scenarios selected via Monte Carlo simulation (MCS) for IDM development. …”
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Assessing mesh size and diffusion of alginate bioinks: A crucial factor for successful bioprinting functional pancreatic islets by Carolin Hermanns, Rick H.W. de Vries, Timo Rademakers, Adam Stell, Denise F.A. de Bont, Omar Paulino da Silva Filho, Marlon J. Jetten, Carlos D. Mota, Sami G. Mohammed, Vijayaganapathy Vaithilingam, Aart A. van Apeldoorn

“…A crucial factor in selecting a cell compatible bioink, that maintains islet functionality, is the mesh size and diffusion capacity of the bioink. …”
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A general spectral bandpass adjustment function (SBAF) for harmonizing landsat-sentinel over inland and coastal waters by Thainara M.A. Lima, Vitor S. Martins, Rejane S. Paulino, Cassia B. Caballero, Daniel A. Maciel, Claudia Giardino

“…To ensure compatibility and consistency in harmonized products for aquatic studies, spectral bandpass adjustment function (SBAF) for cross-calibration between OLI and MSI sensors must be carefully derived and applied. …”
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The accuracy of a novel stunting risk detection application based on nutrition and sanitation indicators in children aged under five years by Tria Astika Endah Permatasari, Yudi Chadirin, Ernirita Ernirita, Anisa Nurul Syafitri, Devina Alifia Fadhilah

“…It accurately detected children at risk of stunting with an AUC of 89.6%. …”
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Enhanced YOLOv7-Tiny for Small-Scale Fire Detection via Multi-Scale Channel Spatial Attention and Dynamic Upsampling by Shihao Wu, Yi Xia

“…Furthermore, the Focaler-IoU loss function is employed to focus the model on hard samples, enhancing the accuracy of small fire detection. …”
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Physicochemical and Functional Properties of Yanbian Cattle Bone Gelatin Extracted Using Acid, Alkaline, and Enzymatic Hydrolysis Methods by Song Zhang, Duanduan Zhao, Lu Yin, Ruixuan Wang, Zhiyan Jin, Hongyan Xu, Guangjun Xia

“…Yanbian cattle, a high-quality indigenous breed in China, were selected due to their unique biological characteristics, underutilized bone byproducts, and potential as a halal-compliant gelatin source, addressing the growing demand for alternatives to conventional mammalian gelatin in Muslim-majority regions. …”
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Characterization of carotenoid profiles and presence of functional markers in sub-tropical maize (Zea mays L.) inbred lines by Peter Amoah, Victor O. Adetimirin, Bismark Anokye, Oluyinka J. llesanmi, Nnanna Unachukwu, Elisabeth Ivania Aporva

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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

“…Furthermore, the proposed SWO-SRNN was trained using the selected features to predict the ground temperature and Coefficient of Performance (COP), which enables to make appropriate actions to optimize the functioning of GSHP. …”
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Optimized decomposition and identification method for multiple power quality disturbances by Wang Zhaoqing, Chang Yanzhao, Chen Jianlei, Bao Weiyu

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Conscious and unconscious perception of pitch shifts in auditory feedback during vocalization: Behavioral functions and event-related potential correlates by Daniel Suchý, Roozbeh Behroozmand, Henry Railo

“…Source localization of the ERPs suggested that conscious pitch shift detection was associated with increased neural activity within the temporal, frontal and parietal cortical networks known to be involved in speech motor control. …”
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Educational Technologies in Modern Higher Education Institutions (Analysis of Russian and Foreign Research and Practice) by N. V. Bordovskaia, E. A. Koshkina, N. A. Bochkina

“…Statistically significant differences were identified for all considered functional characteristics of educational technology in Russian and foreign publications, with the exception of “Student Attitude to Educational Technology”. …”
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ATClean: A Novel Method for Detecting Low-luminosity Transients and Application to Pre-explosion Counterparts from SN 2023ixf by S. Rest, A. Rest, C. D. Kilpatrick, J. E. Jencson, S. von Coelln, L. Strolger, S. Smartt, J. P. Anderson, A. Clocchiatti, D. A. Coulter, L. Denneau, S. Gomez, A. Heinze, R. Ridden-Harper, K. W. Smith, B. Stalder, J. L. Tonry, Q. Wang, Y. Zenati

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A Method for Extracting Features of the Intrinsic Mode Function’s Energy Arrangement Entropy in the Shaft Frequency Electric Field of Vessels by Xiaoguang Ma, Zhaolong Sun, Runxiang Jiang, Xinquan Yue, Qi Liu

“…To address the challenge of detecting low-frequency electric field signals from vessels in complex marine environments, a vessel shaft frequency electric field feature extraction method based on intrinsic mode function energy arrangement entropy values is proposed, building upon a scaled model. …”
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Scalable Electrochemical Synthesis of Novel Biogenic Silver Nanoparticles and Its Application to High-Sensitive Detection of 4-Nitrophenol in Aqueous System by Van-Tuan Hoang, Ngo Xuan Dinh, Tuyet Nhung Pham, Tran Vinh Hoang, Pham Anh Tuan, Tran Quang Huy, Anh-Tuan Le

“…Under a direct-current voltage source, the biomolecules in GTE can release electrons to promote the reducing process of Ag+ to Ag0. …”
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Cvill6 and Cvill7: Potent and Selective Peptide Blockers of Kv1.2 Ion Channel Isolated from Mexican Scorpion <i>Centruroides villegasi</i> by Kashmala Shakeel, Muhammad Umair Naseem, Timoteo Olamendi-Portugal, Fernando Z. Zamudio, Lourival Domingos Possani, Gyorgy Panyi

“…Scorpion venoms are a rich source of peptides that modulate the activity of ion channels and can serve as a new drug for channelopathies. …”
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Cyclostationary Near-field Acoustic Holography for Gearboxes by Zhu Song, Zhang Erliang, Gao Xiaoyu

“…Firstly, the set of cyclic frequencies was estimated from the noise signal; secondly, the cyclic frequency of interest was selected, and the corresponding cyclic spectral density function was calculated; thirdly, the equivalent source NAH method was developed to reconstruct the potential sound source of the gearbox. …”
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Conception de l’artefact, conception du collectif : dynamique d’un processus de conception ouvert et continu dans une communauté de développement de logiciels libres by Flore Barcellini

“…Elicitation of needs and valorization of the new functionality take place in the use-oriented mailing-list, refinements of the functionality specifications take place in the design-oriented mailing list, whereas proper specifications take place in parallel in the two mailing-lists. …”
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Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems by Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, Nour O. Khanfar

“…Two primary research questions are addressed: the capacity of these models to detect and enumerate objects within thermal images, and to determine whether pairs of image sources represent the same scene. …”
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A diagnosis method based on graph neural networks embedded with multirelationships of intrinsic mode functions for multiple mechanical faults by Bin Wang, Manyi Wang, Yadong Xu, Liangkuan Wang, Shiyu Chen, Xuanshi Chen

“…Additionally, a graph-level based fault diagnosis network model is designed to enhance feature learning capabilities for graph samples and enable flexible application across diverse signal sources and devices. Experimental validation with datasets including independent vibration signals for gear fault detection, mixed vibration signals for concurrent gear and bearing faults, and pressure signals for hydraulic cylinder leakage characterization demonstrates the model's adaptability and superior diagnostic accuracy across various types of signals and mechanical systems.…”
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