Managing Static Archives for Historical Research: A Study at the Archives Depot of the East Java Provincial Library and Archives Service, Indonesia by Farah Mumtahanah Mustakim, Adi Prasetyawan

“…The study applied static archive management theories, encompassing record selection, accessioning, arrangement, description, conservation, preservation, storage, and reference functions. …”
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The influence of genetics on the endocannabinoid system gene expression and relevance for targeting reproductive conditions by Keisuke Tanaka, Akwasi A. Amoako, Sally Mortlock, Peter A. W. Rogers, Sarah J. Holdsworth-Carson, Jacqueline F. Donoghue, Wan Tinn Teh, Grant W. Montgomery, Brett McKinnon

“…Abstract Background Endocannabinoids are small lipid molecules that have critical roles in cellular proliferation and function. They are produced locally with their concentrations controlled via the endocannabinoid system (ECS). …”
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Secrecy Outage Analysis of Mixed RF-FSO Systems With Channel Imperfection by Hongjiang Lei, Haolun Luo, Ki-Hong Park, Zhi Ren, Gaofeng Pan, Mohamed-Slim Alouini

“…First, the cumulative distribution function and probability density function of FSO links with pointing error and two different detection technologies are derived. …”
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Evaluation of Adulticidal Clorine with Black Sand, White Sand and Silica Sand for Decline Coliform Bacteria by Rezania Asyfiradayati, Eni Budiyati, Mitoriana Porusia, Muhammad Rivandi Athaya, Afnan Zain Muzakki, Jenita Berlian Nindyasari, Siti Rohana Mohd Yatim

“…This finding suggests that material selection significantly influences the functional performance of chlorine-based water disinfection systems.…”
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Role of metabolism, resistance, and/or antagonism as drivers of endomicrobiomes assemblage in Origanum heracleoticum L. by Giulia Semenzato, Francesco Vitali, Arcangela Frascella, Ludovica Lollini, Stefano Mocali, Alessio Papini, Renato Fani, Giovanni Emiliani

“…In conclusion, this research advances our comprehension of the intricate dynamics between plants and their associated microbiota, indicating that its composition is mainly influenced by forces contributing to the selection of distinct functions and phenotypic traits.…”
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Genotyping from targeted NGS data based on a small set of SNPs correctly matches patient samples by Deyan Yordanov Yosifov, Christof Schneider, Stephan Stilgenbauer, Daniel Mertens, Eugen Tausch

“…We provide an R function for automated detection of sample swaps and mislabelling to the community as a free and open-source tool.…”
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Research on the Non-Uniform Temperature Field Distribution of Q355B Steel for Grain Storage under Fire Conditions by Min Yu, Zhen Cheng, Rui-Bin Gou, Nian Wang

“…The Tmax-d curve of each test plate followed the Boltzmann function distribution, the Q-∆T followed a linear relationship, and the Q-d0 followed an exponential function relationship. …”
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pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

“…However, TM faces challenges of weak signal of the macromolecules and interfering features with a high signal-to-noise ratio, which are often addressed by time-consuming, subjective manual curation of results. To improve the detection performance we introduce pytom-match-pick, a GPU-accelerated, open-source command line interface for enhanced TM in cryo-ET. …”
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Efficient Use of Variation in Evolutionary Optimization by John W. Pepper

“…Commonly used selection algorithms contain several sources of inefficiency, some of which are easily avoided and others of which are not. …”
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Texture-preserving and information loss minimization method for infrared and visible image fusion by Qiyuan He, Yongdong Huang

“…TPFusion consists of the following key components: a multi-scale feature extraction module for enhancing the capability of capturing features; a texture enhancement module and contrast enhancement module, which helps to preserve fine-grained textures and extract salient contours and contrast information; a dual-attention fusion module for fusing the features extracted from the source images; an information content based loss function minimizing the feature discrepancy between the fused images and the source images and effectively reducing the information loss. …”
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Design and control of a modular two-stage SST- based bidirectional EV charger by Radhika P, Mohamed Imran A

“…Small signal transfer functions are derived, and controllers are designed accordingly. …”
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Audio recognition method of belt conveyor roller fault based on convolutional neural network and linear regression by Xiangyuan CHEN, Wei QIN, Yanchi LIU, Minghua LUO

“…The results show that the detection rate of roller fault reaches 95.79 %, and the detection accuracy reaches 95.60 %.…”
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Potential for non‐destructive astrochemistry using the ExoMars PanCam by Michael C. Storrie‐Lombardi, J.‐P. Muller, M. R. Fisk, A. D. Griffiths, A. J. Coates

“…We investigate the utility of adding a 365 nm ultraviolet (UV) light source to the ExoMars panoramic camera (PanCam) scheduled for launch in 2013. …”
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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot by ZHOU Xiwei, SHANG Xiao, SHANG Xinjuan, YAN Maode, WANG Fafa

“…The algorithm has very strong exploring precision and variable function, which makes this algorithm of fewer iterations, and can effectively improve the real-time detection of pipeline leakage source in pipeline corridor. …”
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A Variant Character Dataset for Historical Narratives of Middle and Late Imperial China by Jiwon Lee, Youngim Jung

“…The construction method of the dataset involves collecting variant character sets from authoritative sources, filtering out duplicates and non-target sets, and selecting representative character by applying prioritization principles. …”
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Diagnostic Possibilities of Optical Coherent Tomography of the Retina during Compression in the Chiasm-Sellar Region by N. A. Gavrilova, E. E. Ioyleva, N. S. Gadzhieva, O. E. Tishchenko, N. Y. Kutrovskaya, A. V. Kuz’mina, A. V. Zinov’eva

“…The results of literature sources’s analysis are summarized in the table by the parameters studied, the OCT model; etiology, treating methods and the results of the OCT study. …”
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Current status of developments in the field of respiratory syncytial virus vaccines by Tatiana S. Kotomina

“…This was facilitated by research to identify the structure of RSV, to study the basic functions of RSV components as well as the mechanisms of innate and acquired immune responses to infection. …”
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Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…One significant branch of modern control algorithms concerns reinforcement learning, a data-driven strategy capable of dynamically managing renewable energy sources and other energy subsystems under uncertainty and real-time constraints. …”
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Spontaneous blinking and brain health in aging: Large-scale evaluation of blink-related oscillations across the lifespan by Sujoy Ghosh Hajra, Jed A. Meltzer, Prerana Keerthi, Chloe Pappas, Allison B. Sekuler, Cam-CAN Group, Careesa Chang Liu

“…Crucially, these age-related differences were not observed in the behavioral measures of task performance such as reaction time and accuracy, suggesting that blink-related neural responses during the target detection task are more sensitive in capturing aging-related brain function changes compared to behavioral measures alone. …”
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