Comprehensive deformation study in the new Austrian tunneling technique tunnel utilising artificial neural network model by Shubham Kanojiya, Gopal Krishna Mehta

“…These difficulties have a substantial influence on the routine functioning of the tunnel as well as traffic safety. …”
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TLEABLCNN: Brain and Alzheimer’s Disease Detection Using Attention-Based Explainable Deep Learning and SMOTE Using Imbalanced Brain MRI by Erol Kina

“…It degenerates the brain and reduces the activity of individuals by disrupting their memory and physiological functions. A comprehensive examination of specific brain tissue is required in order to accurately diagnose a brain condition using magnetic resonance imaging. …”
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Dorsomedial and ventromedial prefrontal cortex lesions differentially impact social influence and temporal discounting. by Zhilin Su, Mona M Garvert, Lei Zhang, Todd A Vogel, Jo Cutler, Masud Husain, Sanjay G Manohar, Patricia L Lockwood

“…Several debates question whether different ventral mPFC (vmPFC) and dorsal mPFC (dmPFC) regions have specific functions or whether there is a gradient supporting social and nonsocial cognition. …”
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How does digital governance improve natural resource utilization efficiency? Configuration analysis based on the TOE framework by Shijia Zhang, Xiaojuan Cao

“…This paper expands the understanding of the transformation of government roles and functions in the digital economy era and provides a new theoretical framework for digital governance, aiming to promote the further improvement of the NRUE.…”
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Frequencies of VKORC1-1639G>A and rs397509427 in Patients on Warfarin and Healthy Syrian Subjects by Yara Altawil, Lama A. Youssef

“…VKORC1-1639G>A (rs9923231) is a common single nucleotide polymorphism with a crucial impact on warfarin dosing and possibly other physiological functions. This study aimed at investigating the frequencies of VKORC1-1639G>A alleles and genotypes in Syrian healthy subjects and patients on warfarin for different indications. …”
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Double difference earthquake location with graph neural networks by Ian W. McBrearty, Gregory C. Beroza

“…We obtain high resolution relocations in these tests, and our model shows adaptability to variable types of loss functions and location objectives, including learning station corrections and mapping into the reference frame of a different catalog. …”
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Enhancing high pressure pulsation test bench performance: a machine learning approach to failure condition tracking by Aslı Aksoy, Ömer Haki

“…Abstract The high-pressure pulsation test (HPPT) bench is used to test the functionality and resilience of components under high pressure and pulsation. …”
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DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system by G. Usha, H. Karthikeyan, Kumar Gautam, Nikhil Pachauri

“…Moreover, Intelligent Transportation Systems is different from the standard vehicular ad hoc network design since it functions in a highly dynamic environment brought on by the quick mobility between the nodes in short connection times. …”
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A hybrid approach for pattern recognition and interpretation in age-related false memory by Noorbakhsh Amiri Golilarz, Elias Hossain, Shahram Rahimi, Hossein Karimi

“…IntroductionAging is associated with a decline in essential cognitive functions such as language processing, memory, and attention, which significantly impacts the quality of life in later years. …”
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Equivalent force model of deformation induced by oil and gas reservoir development and its volume boundary element method solution by Xuehao PEI, Yuetian LIU, Liang XUE

“…The deformation solution at any point in the strata can be obtained through the convolution of flow equivalent forces, boundary equivalent forces and Green's functions. After discretization, the deformation solution at any point in the strata can be obtained by multiplying the grid boundary equivalent forces, grid flow equivalent forces with their corresponding grid boundary sources and grid volume sources respectively, and then summing them up. …”
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An ensemble approach using multidimensional convolutional neural networks in wavelet domain for schizophrenia classification from sMRI data by Tamilarasi Sarveswaran, Vijayarajan Rajangam

“…Abstract Schizophrenia is a complicated mental condition marked by disruptions in thought processes, perceptions, and emotional responses, which can cause severe impairment in everyday functioning. sMRI is a non-invasive neuroimaging technology that visualizes the brain’s structure while providing precise information on its anatomy and potential problems. …”
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Breast Cancer Classification With Enhanced Interpretability: DALAResNet50 and DT Grad-CAM by Suxing Liu, Galib Muhammad Shahriar Himel, Jiahao Wang

“…This is achieved by employing skip connections to mitigate vanishing gradient issues, enabling the integration of low-level and high-level feature information. …”
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Development of KCC2 therapeutics to treat neurological disorders by Shilpa D. Kadam, Shane V. Hegarty

“…KCC2 is CNS neuron-specific chloride extruder, essential for the establishment and maintenance of the transmembrane chloride gradient, thereby enabling synaptic inhibition within the CNS. …”
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Spatial and Temporal Dynamics of Bentho-Demersal Communities From Bottom Trawl Across the Moroccan Mediterranean Coast in Relation to Environmental Conditions: Implications for Fis... by Douaa Slimani, Souad Abdellaoui, Najib El Ouamari, Khaoula Kasmi, Rajae Mouedden, Imade Ouebdil, Nassir Kaddouri, Jamal Settih, Mostafa Layachi, Mohamed Fadili, Khalid Chaabane

“…Understanding the temporal and spatial patterns, as well as habitat preferences, of marine communities is crucial for interpreting ecosystem functioning and effectively protecting marine organisms’ resources. …”
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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…It also demonstrated superior screening power compared to virtual screening schemes that used existing scoring functions. This model, named “HERGAI,” along with relevant input/output data and user-friendly source code, is available in our GitHub repository ( https://github.com/vktrannguyen/HERGAI ) and can be used to predict drug-induced hERG blockade, even on large data sets.…”
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Metabolomics Analysis Reveals the Participation of Efflux Pumps and Ornithine in the Response of Pseudomonas putida DOT-T1E Cells to Challenge with Propranolol. by Ali Sayqal, Yun Xu, Drupad K Trivedi, Najla AlMasoud, David I Ellis, Nicholas J W Rattray, Royston Goodacre

“…Multivariate statistical analysis of these MIR data revealed gradient trends in resultant ordination scores plots, which were related to the concentration of propranolol. …”
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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…This study investigates the operational efficiency of the lab-scale oxidation ditch (OD) functioning in simultaneous nitrification and denitrification modes, focusing on forecasting biochemical oxygen demand (BOD₅) concentrations over a five-day horizon. …”
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Analysis of the Characteristics and Agglomeration Effect of the Rural Element Spatial Correlation Network in Northeast China by Yu Sun, Jing Ning, Yongxin Piao

“…In the face of the urgent need for the coordinated development of regional rural functions and the orderly and efficient integration of urban and rural areas, the problem of how to accurately identify the spatial correlation relationships and characteristics of rural elements among regions in Northeast China has become a key issue that urgently needs to be resolved. …”
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Spatiotemporal Variation Patterns of and Response Differences in Water Conservation in China’s Nine Major River Basins Under Climate Change by Qian Zhang, Yuhai Bao

“…As a crucial manifestation of ecosystem water regulation and supply functions, water conservation plays a vital role in regional ecosystem development and sustainable water resource management. …”
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An Enhanced Bio-inspired GWO–DE Technique for Efficient Feature Selection in the EEG-RSVP Paradigm by S. Abinayaa, S. S. Sridhar

“…In such a sense, GWO functions as an exploration tool of the feature space, while DE further refines good candidates through a local exploitation. …”
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