A curated soil fungal dataset to advance fungal ecology and conservation research in Australia and Antarctica by Luke Florence, Sean Tomlinson, Marc Freestone, John W. Morgan, Jennifer L. Wood, Camille Truong

“…Abstract DNA metabarcoding has played a pivotal role in advancing our understanding of the diversity and function of soil-inhabiting fungi. The Australian Microbiome Initiative has produced an extensive soil fungal metabarcoding dataset of more than 2000 plots across a breadth of ecosystems in Australia and Antarctica. …”
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Analysis and Optimization of Interpolation Points for Quadruped Robots Joint Trajectory by Mingfang Chen, Kaixiang Zhang, Sen Wang, Fei Liu, Jinxin Liu, Yongxia Zhang

“…An evaluation function was established to assess the closeness degree between the actual trajectory and the original curve. …”
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Nile Red Staining for Oil Determination in Microalgal Cells: A New Insight through Statistical Modelling by Ronald Halim, Paul A. Webley

“…A quadratic surface model that successfully described the Nile red fluorescence intensity as a composite function of its variables was generated (r2=0.86). …”
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A tool for global and regional Landsat 7 and Landsat 8 cross-sensor harmonization by Galen Richardson, Anders Knudby, Koreen Millard, Wenjun Chen

“…Regional harmonization functions generated by LEOHS performed similarly or outperformed existing models in the same areas of interest. …”
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The Use of Al, Cu, and Fe in an Integrated Electrocoagulation-Ozonation Process by Carlos E. Barrera Díaz, Nelly González-Rivas

“…This study presents the effect of supplying electrochemically generated metallic ions (Al, Cu, and Fe) during an ozonation process for treating industrial wastewater. …”
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Determining Point of Economic Cattle Milk Production through Machine Learning and Evolutionary Algorithm for Enhancing Food Security by Sonam Bhardwaj, Ayon Tarafdar, Manoj Baghel, Triveni Dutt, Gyanendra Kumar Gaur

“…The information generated by this investigation will aid in ensuring food security in terms of higher milk production while making the dairy business more sustainable and profitable for the farmers.…”
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Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

“…In this paper, two conflicting objective functions are simultaneously solved. The first objective function is the maximization of the match between the interpolated EC distributions obtained from data of the all available monitoring wells and the wells from the newly generated network. …”
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Neutrosophic Wald Distribution with Applications to Reliability Analysis by Afrah Al Bossly, Adnan Amin

“…To make it even more applicable, we propose an approach to generate random samples from neutrosophic Wald distribution using quantile function so that neutrosophic Wald distribution can be simulated and empirically validated. …”
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Hybrid attention transformer integrated YOLOV8 for fruit ripeness detection by Jianyin Tang, Zhenglin Yu, ChangShun Shao

“…In addition, during the feature fusion stage, the Hybrid Attention Transformer (HAT) module is integrated into TopDownLayer2 to enhance the capture of long-term dependencies and the recovery of detailed information in the input data. To more accurately evaluate the similarity between the prediction box and the real bounding box, this paper uses the EIoU loss function instead of CIoU, thereby improving detection accuracy and accelerating model convergence. …”
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Sliding window constrained fault-tolerant filtering of compressor vibration data by Shaolin Hu, Xianxi Chen, Guoxi Sun

“…By utilizing a sliding window constraint function, the method produces a smoothed estimate for the current moment within the window. …”
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Current Directions of Selected Plant-Origin Wastes’ Valorization in Biotechnology of Food Additives and Other Important Chemicals by Dominika Popielarz, Pavol Farkaš, Anna Bzducha-Wróbel

“…However, further research is needed to explore more efficient and environmentally friendly methods, especially in the utilization of lignocellulose in biotechnology. …”
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Specific Cell Targeting Therapy Bypasses Drug Resistance Mechanisms in African Trypanosomiasis. by Juan D Unciti-Broceta, José L Arias, José Maceira, Miguel Soriano, Matilde Ortiz-González, José Hernández-Quero, Manuel Muñóz-Torres, Harry P de Koning, Stefan Magez, José A Garcia-Salcedo

“…Current therapies are characterized by high drug toxicity and increasing drug resistance mainly associated with loss-of-function mutations in the transporters involved in drug import. …”
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Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention by Elad Yoshai, Gil Goldinger, Tatiana Kogan, Anna Zakharov, Miki Haifler, Natan T. Shaked

“…We achieve this through a segmented attention network, incorporating nuclei-segmented images during training and adding an additional loss function to refine the nuclei details in the generated permanent images. …”
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Attention-Based Multi-Objective Control for Morphing Aircraft by Qien Fu, Changyin Sun

“…Furthermore, a multi-phase pseudospectral method is derived to discretize the auxiliary problem and formulate the corresponding nonlinear programming problem, where open loop optimal solutions of the multi-task flight mission are generated. Finally, a learning-based feedback controller is established using data from the open loop solutions, where a temporal masked attention mechanism is developed to extract information from sequential data more efficiently. …”
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A toolbox for systematic discovery of stable and transient protein interactors in baker's yeast by Emma J Fenech, Nir Cohen, Meital Kupervaser, Zohar Gazi, Maya Schuldiner

“…Abstract Identification of both stable and transient interactions is essential for understanding protein function and regulation. While assessing stable interactions is more straightforward, capturing transient ones is challenging. …”
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MAGNETOHYDRODYNAMICS NANOFERRO FLUID FLOWS PASSING THROUGH A MAGNETIC POROUS SPHERE UNDER THERMAL RADIATION EFFECT by Basuki Widodo, Eirene Juwita Ningtyas Pamela, Dieky Adzkiya, Chairul Imron, Tri Rahayuningsih

“…The dimensional mathematical model therefore is generated using the conservation laws of mass, momentum, and energy. …”
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An online communicative translation assessment model in an Indonesian EFL translation class: Students’ perceptions by Soni Tantan Tandiana, Fuad Abdullah, Dede Anwar, Emmas Maspupah

“…The findings revealed that OCTAM provided students with an effective translation assessment model, coped with their limited English vocabulary, guided them to focus on knowledge of form, function, and meaning of both source and target texts, offered them a more contextual translation test, raised their awareness of translating as a meaning-making practice, facilitated them to correct grammatical errors, created a less anxious test atmosphere, and generated their multimodal communicative competence. …”
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SUMO modification of a heterochromatin histone demethylase JMJD2A enables viral gene transactivation and viral replication. by Wan-Shan Yang, Mel Campbell, Pei-Ching Chang

“…These finding suggest that SUMO-2/3 modification plays an essential role in the epigenetic regulatory function of JMJD2A. Consistently, hierarchical clustering analysis of RNA-seq data showed that a SUMO-deficient mutant of JMJD2A was more closely related to JMJD2A knockdown than to wild-type. …”
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NDAWL-PINN: a new non-dimensionalization and multi-task learning approach for efficient training of physics-informed neural networks to solve the shallow water equations by Xin Qi, Dawei Zhang, Fan Wang, Wuxia Bi, Mingda Lu

“…This paper introduces a novel training approach that integrates non-dimensionalization with a multi-task learning technique, termed Automatic Weighted Loss (AWL), to autonomously achieve an optimal balance for each loss function. In the baseline PINN training for solving time-dependent PDEs, multiple weights (usually more than six) must be manually tuned for the model, whereas this method can reduce the number of scaling weights to only one. …”
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Human cardiac tissues produce lower contractile stress and exhibit slower cross-bridge cycling in type 2 diabetes by J. H. Musgrave, J.-C. Han, M.-L. Ward, N. Kang, A. J. Taberner, K. Tran

“…Results Diabetic trabeculae generated 20% lower active stress and had 16% lower cross-bridge stiffness on average. …”
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