Remote Sensing and Machine Learning for Eutrophication Detection: Assessing the Trophic State in Reservoirs Using Multispectral Indices and Deep Learning by Ruben Usamentiaga, Jose Sal, Pelayo Elvira

“…When integrated with a deep learning model, these images enable the remote classification of the reservoirs’ trophic state. …”
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Pilot study: a low-cost, point-of-care microfluidic chip for smartphone-integrated colorimetric detection using convolutional neural networks by Mithun Kanchan, Pedapudi Anantha Hari Arun, Siddhant Rakesh Chutke

“…Furthermore, the classifier exhibits outstanding precision, recall, and F1 score of 96.6%, 96.2%, and 96%, respectively, as validated through our study, showcasing its exceptional predictive capability. The developed CNN model can be successfully used as pre-trained model for future glucose concentration predictions.…”
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WSNetDefender: Securing Wireless Sensor Networks Using BBIDNet and Fuzzy-DQN Threat Mitigation System (FD-TMS) by Mohammed A. Aleisa

“…The accuracy recorded by the suggested model is 99.6% and 99.7% for database-1 and database-2, respectively.…”
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Facile Synthesis and Characterization of Novel Analcime@Calcium Aluminate@Polyethylene Glycol 400 Nanocomposite for Efficient Removal of Zn(II) Ions from Aqueous Media by Ehab A. Abdelrahman, Abdulrahman G. Alhamzani, Mortaga M. Abou-Krisha, Fawaz A. Saad, Abdalla M. Khedr

“…Kinetic modeling confirmed that adsorption followed the pseudo-second-order model, while isotherm studies demonstrated adherence to the Langmuir model, indicating monolayer adsorption on homogeneous sites.…”
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Design and Prototype Verification of a 3-meter Aperture Wrap-rib Reflector by ZHANG Han, YAN Zhongxi, XIANG Ping, WU Minger

“…In order to solve the problem of high stress in the root area of the wrapped wrap-ribs, a method of setting a wrapping guide on the root area of the wrap-ribs was proposed. A finite element model was established based on the material parameters obtained from the tensile test, and the stress during the wrapping process of a single CFRP lenticular tube with a wrapping guide was analyzed using the explicit dynamic method. …”
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Fuzzy Reliability in Spatial Databases by Ferdinando Di Martino, Salvatore Sessa

“…We model a spatial database in thematic datasets; each thematic dataset concerns a specific spatial domain and includes a set of layers. …”
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CO₂ Sequestration in a Carbonate Saline Aquifer: An Investigation into the Roles of Natural Fractures and Well Placement by Abdulrahim K. Al Mulhim, Mojdeh Delshad, Kamy Sepehrnoori

“…Additionally, the model evaluated the role of natural fractures in the migration path of CO₂ plume and geochemical reactions throughout the storage process. …”
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Three-Dimensional Bioprinting for Retinal Tissue Engineering by Kevin Y. Wu, Rahma Osman, Natalie Kearn, Ananda Kalevar

“…In-depth analyses of bioinks, scaffold materials, and emerging technologies, such as microfluidics and organ-on-a-chip, highlight the potential of bioprinted models to replicate retinal disease states, facilitating drug development and testing. …”
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Ancient inspirations in the figural sculpture of Georg Leonhard Weber (1672–1739) by Artur Kolbiarz

“…Appreciation for ancient art in the modern era led to a particular reverence for ancient sculpture. As the process evolved, its scope and scale expanded with the discovery of new statues, the growth of contemporary collections and the emergence of new methods for reproducing classical models. …”
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Integrated diagnostic analysis of ejecta from lead with micro-defects under detonation loading by Dasen Xu, Huaipu Kang, Liang Qiao, Haoyu Chen, Tiegang Tang, Guowu Ren, Yongtao Chen

“…Concurrently, high-speed X-ray imaging offered two-dimensional density distributions, which were processed via Abel inversion to obtain three-dimensional ejecta profiles.ResultsThe combined approach successfully resolved both dense and sparse ejecta layers, revealing complex velocity gradients ranging up to nearly 3000 m/s and indicating localized tensile failures driven by micro-defects. …”
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Predicting Damage in Notched Functionally Graded Materials Plates through extended Finite Element Method based on computational simulations by Hakim Siguerdjidjene, Amin Houari, Kouider Madani, Salah Amroune, Mohamed Mokhtari, Barhm Mohamad, Chellil Ahmed, Abdelkrim Merah, Raul Campilho

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Synthesis and characterization of CuFe2O4/NiMgAl-LDH composite for the efficient removal of oxytetracycline antibiotic by Jamiu O. Eniola, Rajeev Kumar, Olfat A. Mohamed, A.A. Al-Rashdi, M.A. Barakat

“…OTC adsorption followed the pseudo-second-order kinetic model while the adsorption equilibrium data were well fitted to the Langmuir isotherm model with the maximum adsorption capacity of 192 mg/g at 323K. …”
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Automated classification of midpalatal suture maturation stages from CBCTs using an end-to-end deep learning framework by Omid Halimi Milani, Lauren Mills, Amanda Nikho, Marouane Tliba, Veerasathpurush Allareddy, Rashid Ansari, Ahmet Enis Cetin, Mohammed H. Elnagar

“…The feature extraction integrates Convolutional Neural Networks (CNN) architectures, such as EfficientNet and ResNet18, alongside our novel Multi-Filter Convolutional Residual Attention Network (MFCRAN) enhanced with Discrete Cosine Transform (DCT) layers. Moreover, to better capture the inherent order within the data classes, we augment the supervised training process with a ranking loss by attending to the relationship within the label domain. …”
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Lightweight and robust ship detection method driven by self-attention mechanism by Feng MA, Zihui SHI, Jie SUN, Chen CHEN, Xianbin MAO, Xinping YAN

“…Subsequently, considering the uneven distribution and minor scale variations of ship targets in the dataset, two detection layers are retained to reduce model parameters and further enhance model performance. …”
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Effect of long-term constant irradiation on retinal glia by A. V. Potapov, E. Yu. Varakuta, A. V. Solonsky, S. V. Logvinov, A. V. Gerasimov, M. V. Svetlik, A. A. Zhdankina, E. A. Gereng, I. A. Petrov

“…To study the response of retinal glial cells to constant irradiation of various intensity and to develop a mathematical model allowing to evaluate the dynamics of damage to radial glial cells and predict their photodamage depending on the duration and intensity of irradiation.Materials and methods. …”
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Requirements for Becoming a Startup: A Study with an Economic Sociology Approach (Case Study: Managers of Startups in Isfahan City) by Rahmatollah Torkan, Seyed Samad Beheshty, Ramin Moradi

“…Without the presence and mutual interaction of these elements at various layers of business, the process of establishing a startup might be hindered or indefinitely delayed.…”
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Superfluid Spin-up: Three-dimensional Simulations of Post-glitch Dynamics in Neutron Star Cores by J. R. Fuentes, Vanessa Graber

“…However, as we move deeper into the sphere, the superfluid accelerates on different timescales due to the slow viscous spin-up of the internal normal fluid layers. We discuss potential implications for neutron stars, and requirements for future work to build more realistic models.…”
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Design optimization platform for assistive wearable devices applied to a knee damper exoskeleton by Asghar Mahmoudi, Stephan Rinderknecht, Andre Seyfarth, Maziar A. Sharbafi

“…Predictive simulation, which models movement without relying on experimental data, provides a powerful tool for anticipating the effects of assistive devices on the human body and guiding the design process. …”
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Study on the Deformation Law of the Embankment with Alluvial Fill in the Lower Yellow River by Chuanyi Ma, Xuanzheng Li, Chuan Wang, Daojun Deng, Quanyi Xie, Gaohang Lv

“…In this paper, laboratory experiments were conducted to examine the change in hydraulic conductivity during the consolidation process of the alluvial fill. Besides, a numerical model was established to investigate the dissipation law of excess pore water pressure and the settlement law of layered consolidation of alluvial fill. …”
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Spike-RISC: Algorithm/ISA Co-Optimization for Efficient SNNs on RISC-V by Ipek Akdeniz, Sandy A. Wasif, Paul R. Genssler, Hussam Amrouch

“…The sparsity-aware vector unit processes the fully connected layers avoiding unnecessary computations. …”
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