Improved cohesin HiChIP protocol and bioinformatic analysis for robust detection of chromatin loops and stripes by Karolina Buka, Zofia Parteka-Tojek, Abhishek Agarwal, Michał Denkiewicz, Sevastianos Korsak, Mateusz Chiliński, Krzysztof H. Banecki, Dariusz Plewczynski

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A U-net based reconstruction of high-fidelity simulation results for flow around a ship hull based on low-fidelity inviscid flow simulation by Dayeon Kim, Jeongbeom Seo, Inwon Lee

“…To create the training dataset, a variety of hull forms are generated from six baseline hull forms using parametric modification function techniques. Inviscid and viscous flow data for each hull are obtained through potential flow analysis and computational fluid dynamics - simulations, respectively. …”
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Dynamic Mapping and 3D Perception Using Voxel Grid and Modified Artificial Potential Fields for Indoor Locomotion by Trihastuti Agustinah, Yurid Eka Nugraha, Aqil Rabbani Nurhadi, Vincentius Charles Maynad

“…Voxel grid filtering enhances computational efficiency, reducing processing time per iteration by up to 73% - from 0.247 seconds (raw LiDAR) to 0.067 seconds (voxel size of 0.9) - while maintaining obstacle detection accuracy. …”
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Role of the <i>Egr2</i> Promoter Antisense RNA in Modulating the Schwann Cell Chromatin Landscape by Margot Martinez Moreno, David Karambizi, Hyeyeon Hwang, Kristen Fregoso, Madison J. Michles, Eduardo Fajardo, Andras Fiser, Nikos Tapinos

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FORMAL REPRESENTATION OF THE PIXEL-BY-PIXEL CLASSIFICATION PROCESS USING A MODIFIED WANG-MENDEL NEURAL NETWORK by Oleksii Kolomiitsev, Volodymyr Pustovarov

“…The proposed IFST2, on the one hand, provide a formalization of more additional degrees of uncertainty compared to FST1, on the other hand, are "implemented" in the development of fuzzy systems (models) and have less computational complexity, compared to fuzzy sets of the second type (FST2).…”
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Script-Based Material and Geometrical Modeling of Steel–Concrete Composite Connections for Comprehensive Analysis Under Varied Configurations by Dániel Gosztola, Péter Grubits, János Szép, Majid Movahedi Rad

“…The Python-based parametric model allows for easy modification of design parameters, ensuring efficiency and minimizing modeling errors. …”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…This change reduces the number of nodes in these layers from [4096, 4096, 1000] to just [7], effectively addressing the large parameter size in the VGG19 network. Additionally, this modification improves the resistance of the model to overfitting, making it more robust when applied to new data. …”
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FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection by Taojun Zhu, Zikai Zhao, Min Xia, Junqing Huang, Liguo Weng, Kai Hu, Haifeng Lin, Wenyu Zhao

“…In addition, a supervised learning module is constructed to reweight features to efficiently aggregate multilevel features from high-level to low-level. …”
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Transcriptome-wide identification and analysis reveals m6A regulation of metabolic reprogramming in shrimp (Marsupenaeus japonicus) under virus infection by Xumei Sun, Yu-Lei Chen, Fan Xin, Siyuan Zhang

“…Combined analysis showed a positive correlation between m6A methylation levels and mRNA expression levels. In addition, computational predictions of protein-protein interaction indicated that genes with altered levels of m6A methylation and mRNA expression clustered in metabolism, DNA replication, and protein ubiquitination. …”
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Bayesian Inference for Zero-Modified Power Series Regression Models by Katiane S. Conceição, Marinho G. Andrade, Victor Hugo Lachos, Nalini Ravishanker

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Evaluating the impact of the Bolsa Familia conditional cash transfer program on premature cardiovascular and all-cause mortality using the 100 million Brazilian cohort: a natural e... by Mauricio L Barreto, Alastair H Leyland, Liam Smeeth, Srinivasa Vittal Katikireddi, Peter Craig, Mirjam Allik, Estela M L Aquino, Sanni Ali, Julia M Pescarini, Leila Amorim

“…The deidentified dataset will be provided to researchers, and data analysis will be performed in a safe computational environment without internet access. Study findings will be published in high quality peer-reviewed research articles. …”
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Modelo matemático y procedimiento para la generación gráfica de los contornos de dientes de engranajes cilíndricos. // A mathematical model and procedure for graphic generation of... by G. González Rey, R. José García Martín, P. Frechilla Fernández

“…The mentioned model and procedure are able to consider the effect in<br />the tooth gear geometry of the addendum modification coefficient and the rack shaped tool used in the cutting of gear. …”
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New horizons in microbial fuel cell technology: applications, challenges, and prospects by Tikam Chand Dakal, Nitesh Singh, Amandeep Kaur, Prabhsangam Kaur Dhillon, Janvi Bhatankar, Ramovatar Meena, Rakesh Kumar Sharma, B. R. Gadi, Bikram Sen Sahu, Asmita Patel, Buddha Singh, Kajal Kumari

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Advances in enhancing hydrodeoxygenation selectivity of lignin-derived oxygenates: From synthetic strategies to fundamental techniques by Xinru Wu, Hongwei Zhang, Cejun Hu, Xiaojun Bao, Pei Yuan

“…Additionally, fundamental insights into selective deoxygenation obtained through these techniques are highlighted. …”
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A Fragile Watermarking Scheme for Authenticity Verification of 3D Models in GLB Format by Marcin Matczuk, Grzegorz Kozieł, Sławomir Cięszczyk

“…The proposed algorithm attaches a 512-bit hash-based message authentication code (HMAC) to a 3D model using the least significant bits (LSBs) modification method. The use of HMAC and LSBs has resulted in a computationally efficient algorithm that can be implemented in low-cost devices.…”
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Improving the power production efficiency of microbial fuel cell by using biosynthesized polyanaline coated Fe3O4 as pencil graphite anode modifier by Tekalign Tesfaye, Yohannes Shuka, Sisay Tadesse, Tesfahun Eyoel, Mesele Mengesha

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Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

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Synthetic Biology – Friend or Foe? What Kind of Threats Should We Expect? by J. Lakota

“…Basic tools and techniques of synthetic biology are: DNA synthesis and DNA sequencing; «chassis», i.e. host system harboring the genetic toolbox for expression of the desired genes, delivered by suitable vectors, of the engineered biological pathway; engineering of transcription systems that do not deplete the resources of the cell (synthetic promotors and transcription factors); genome modification tools (CRISPR/Cas9 nuclease, zinc finger nucleases, TALE nucleases, meganucleases); computer-aided tools (involved in basic structural design and synthesis; in network design; in prediction of behavior/function/response). …”
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A Lightweight Person Detector for Surveillance Footage Based on YOLOv8n by Qicheng Wang, Guoqiang Feng, Zongzhe Li

“…This model balances high accuracy with low computational cost and parameter size. First, the MSBlock module was introduced into YOLOv8n. …”
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Facile synthesis, characterization, molecular and dynamic optical properties of metronidazole and sulfamethoxazole adducts of tricarbonyl(1-5-η-2-methoxycyclohexadienylium)iron by Tunmise Tunrayo Eugene-Osoikhia, Adewale Saheed Olawoyin, Torhile Japhet Aasegh, Nnenna Winifred Odozi, Nathanael Damilare Ojo, Temidayo Oyetunde, Emmanuel Oloruntoba Yeye, Raymond Akong Akong, Emmanuel Usman Onche, Oluwatoba Emmanuel Oyeneyin, Ibrahim Adebayo Oladosu

“…Here, we synthesized new tricarbonyl [1,4-η-5-(4-amino-N-(5-methyl-1,2-oxazol-3yl)benzenesulfonamide) cyclohexa-1,3-diene]iron (1SF) and tricarbonyl[1,4-η-5-(2-(2-methyl-5-nitroimidazol-1-yl)ethanol)cyclohexa-1,3-diene] iron (1MF) by the modification of sulfamethoxazole (1S) and metronidazole (1 M) via their nucleophilic addition to 2-methoxydienyliumiron cation ([(1-5-η-2-MeOC6H6)Fe(CO)3] [PF6]. …”
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