Glioma Grade Classification: Hypertuned CNN With Saliency-Based Insight From MRI by Khondakar A. Shahriar, Enamul H. Bhuiyan, Md. Forhad Hossain, Rakibur Rahman, Muhammad E. H. Chowdhury

“…The model employs KerasTuner to optimize key hyperparameters, including filter sizes, pooling layers, dropout rates, and optimizers, ensuring improved feature extraction and robustness. …”
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Analysis of enamel microhardness at various hard tissue states and depth of the microfissures by S. P. Yarova, I. I. Zabolonaya

“…Hardness was determined in the outer, middle, inner layers of enamel in three topographical locations: in the cusp tip (cutting edge) of the tooth equator and neck as in previously described technique (S. …”
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Application and discussion of geological guidance technology for deep coalbed methane horizontal wells: A case study of block X in Shenmu gas field, Ordos Basin by LIN Weiqiang, CONG Peng, WANG Hong, WEI Zichen, YANG Yuntian, YAO Zhiqiang, QU Lili, MA Limin, WANG Fanglu

“…Through the effective integration and proper application of these technologies, precise well landing and fine-tuning of the horizontal trajectory in real time were achieved. …”
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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

“…To enhance model performance, we introduce a novel non-dominated sorting artificial bee colony (NSABC) algorithm, which fine-tunes the hyper-parameters of the CNN-RNN structure, including weights, biases, the number of layers, and neuron configurations. This optimization ensures improved accuracy, faster convergence, and better generalization to unseen data. …”
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A Brief Review on the Evolution of Research Approaches to the History of Chinese Geography over the Past Hundred Years by Sun Jun, Yang Yuling, Li Miao, Xiang Jiajia

“…Although each of the four research approaches has its own specific object of observation, the evolution of the critical layers constitutes a more comprehensive perspective for understanding the history of Chinese geography. …”
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An in vitro evaluation of microleakage of resin based composites bonded to chlorhexidine-pretreated dentin by different protocols of a universal adhesive system by Mohammed S. Bin-Shuwaish, Alhanouf A. AlHussaini, Lina H. AlHudaithy, Shamma A. AlDukhiel, Abdullah S. Al-Jamhan

“…However, in the absence of CHX, the “etch-and-rinse” protocol negatively affected marginal integrity.…”
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Predictive Value of Optical Coherence Tomography Biomarkers in Patients with Persistent Diabetic Macular Edema Undergoing Cataract Surgery Combined with a Dexamethasone Intravitrea... by Giuseppe Fasolino, Maryam Lazaar, Domenico Giovanni Della Rocca, Silke Oellerich, Sorcha Ní Dhubhghaill

“…The following OCT-based biomarkers were also collected: ellipsoid zone (EZ) integrity, disorganization of the retinal inner layers (DRIL), CST, and hyperreflective foci (HRF). …”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

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Investigation of early-stage cardiovascular-kidney-metabolic syndrome on retinal structure and function evaluated by optical coherence tomography angiography by Yunyi Liang, Congbi Liang, Jianping Yang, Wanhua Li, Runyi Liang, Kun Li, Jingfeng Zhang, Peiqiong Lao, Junhua Zhu, Lin An, Zhaohao Liang, Chubin Ou

“…Suboptimal cardiovascular-kidney-metabolic (CKM) health status, defined by the early stage of CKM syndrome, may impact retinal neurovascular integrity, yet comprehensive OCTA-based evaluations remain limited and controversial. …”
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Protocol: the International Milk Composition (IMiC) Consortium - a harmonized secondary analysis of human milk from four studies by Kelsey Fehr, Kelsey Fehr, Andrew Mertens, Chi-Hung Shu, Trenton Dailey-Chwalibóg, Trenton Dailey-Chwalibóg, Liat Shenhav, Liat Shenhav, Liat Shenhav, Lindsay H. Allen, Lindsay H. Allen, Megan R. Beggs, Megan R. Beggs, Lars Bode, Lars Bode, Rishma Chooniedass, Mark D. DeBoer, Lishi Deng, Camilo Espinosa, Camilo Espinosa, Camilo Espinosa, Daniela Hampel, Daniela Hampel, April Jahual, April Jahual, Fyezah Jehan, Mohit Jain, Patrick Kolsteren, Puja Kawle, Kim A. Lagerborg, Melissa B. Manus, Melissa B. Manus, Melissa B. Manus, Samson Mataraso, Samson Mataraso, Samson Mataraso, Joann M. McDermid, Ameer Muhammad, Payam Peymani, Payam Peymani, Martin Pham, Martin Pham, Setareh Shahab-Ferdows, Yasir Shafiq, Yasir Shafiq, Yasir Shafiq, Vishak Subramoney, Daniel Sunko, Daniel Sunko, Laeticia Celine Toe, Laeticia Celine Toe, Stuart E. Turvey, Lei Xue, Natalie Rodriguez, Natalie Rodriguez, Alan Hubbard, Nima Aghaeepour, Nima Aghaeepour, Nima Aghaeepour, Meghan B. Azad, Meghan B. Azad

“…Multi-modal machine learning methods (extreme gradient boosting with late fusion and two-layered cross-validation) will be applied to predict infant growth and identify determinants of HM variation. …”
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One-step eco-friendly synthesis of Ag nanoparticles on bentonite-g-C₃N₄ for the reduction of hazardous organic pollutants in industrial wastewater. by Abduraboh Alraae, Ali Moussadik, Abdellah Benzaouak, Mohammed Kacimi, Mohammed Dahhou, Aicha Sifou, Adnane El Hamidi

“…Acid-activated bentonite preserved its layered structure and exhibited a significant surface area increase, reaching 113.77 m²/g after hydrochloric acid treatment, thereby enhancing its capacity for supporting nanoparticle-based catalysts. …”
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Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks by Ahmed Mateen Buttar, Zubair Shaheen, Abdu H. Gumaei, Mogeeb A. A. Mosleh, Mogeeb A. A. Mosleh, Indrajeet Gupta, Samah M. Alzanin, Muhammad Azeem Akbar

“…Future studies could focus on integrating additional data types, such as longitudinal imaging and multimodal techniques, to further enhance diagnostic accuracy and clinical utility. …”
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A New Hyperparameter Tuning Framework for Regression Tasks in Deep Neural Network: Combined-Sampling Algorithm to Search the Optimized Hyperparameters by Nguyen Huu Tiep, Hae-Yong Jeong, Kyung-Doo Kim, Nguyen Xuan Mung, Nhu-Ngoc Dao, Hoai-Nam Tran, Van-Khanh Hoang, Nguyen Ngoc Anh, Mai The Vu

“…Our approach enables hyperparameter tuning for deep learning models with two hidden layers and multiple types of hyperparameters, enhancing the model’s capacity to work with complex optimization problems. …”
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Rheology, mechanical properties and microstructure characterization of limestone calcined clay cement (LC3) incorporated sustainable lightweight self-compacting concrete by Snigdhajit Mukherjee, Rajesh Kumar, Monalisa Behera, Arpit Goyal, Md Reyazur Rahman

“…Significantly, the concrete industry utilizes numerous alternatives as supplementary cementitious materials (SCMs) for development in construction sector. The integrity of these materials has the potential to alter the rheological properties of fresh concrete with ease of their chemical reactivity over time. …”
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Decentralized multi-agent federated and reinforcement learning for smart water management and disaster response by H. Mancy, Naglaa E. Ghannam, Amr Abozeid, Ahmed I. Taloba

“…The research methodology for implementing the proposed solution involves the design of a multi-layered architecture, including data acquisition, decentralized learning, and real-time execution. …”
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Er:YAG Laser Applications for Debonding Different Ceramic Restorations: An In Vitro Study by Ruxandra Elena Luca, Anișoara Giumancă-Borozan, Iosif Hulka, Ioana-Roxana Munteanu, Carmen Darinca Todea, Mariana Ioana Miron

“…Based on the previously defined groups, four types of ceramic restorations were included in the study: feldspathic (F), lithium disilicates (LD), layered zirconia (LZ), and monolithic zirconia (MZ). …”
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Change in Organizational Structure Influences Perceived Leadership in a Dutch Radiotherapy Center by Swart RR, Jacobs MJ, Van Merode F, Boersma LJ

“…Three interventions were introduced: (1) appointing dedicated team leaders (TLs) to improve information flow and reduce management SoC; (2) integrating a Patient Care (PC) manager into the advisory board to facilitate direct communication within the governance structure, including other hierarchical layers; and (3) adding a proton therapy manager as a liaison to improve coordination. …”
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Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers by Arafet Sbei, Khaoula ElBedoui, Walid Barhoumi

“…This study presents a comparative analysis of transformer models for text classification, utilizing a hybrid approach that integrates rule-based regular expressions with fine-tuned neural network models. …”
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Advanced neural network-based model for predicting court decisions on child custody by Mohammad Abrar, Abdu Salam, Faizan Ullah, Muhammad Nadeem, Hussain AlSalman, Muaadh Mukred, Farhan Amin

“…The novelty of the proposed model is the integration of bidirectional encoder representations from transformers (BERT) and bidirectional long short-term memory (Bi_LSTM). …”
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An efficient graph attention framework enhances bladder cancer prediction by Taghreed S. Ibrahim, M. S. Saraya, Ahmed I. Saleh, Asmaa H. Rabie

“…The novel constructure of graph neural network (GNN) with attention mechanism, called Multi Stacked-Layered GAT (MSL-GAT) leverages graph attention mechanisms (GAT) to identify and predict critical driver genes associated with BL cancer progression. …”
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