Types of fear, ethics and aesthetics of terror, and the politics of emotions in The Album of Female Prisoners by Milutin A. Popović by Tomić Svetlana

“…The language of fear, shock, horror, provocation and perversion and the aesthetics of the genre is interpreted as a part of the author's efforts for readers to feel terror of psycho-physiological mechanisms of pain, and to make new connections with the society and its culture. The creation of a complex and multimedia genre of the album is in accordance with the author's multuple efforts to deconstruct the layers of real life and its different dangers, calling for counteractions, and showing the tragic link between inhumane and unordered society.…”
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An Integrated Stepwise Approach to the Treatment of Graft Disease in a Patient with an Implanted Iris Lens Diaphragm and Concomitant Postkeratoplastic Ametropia (Clinical Case) by M. V. Sinitsyn, N. A. Pozdeyeva, A. E. Terent’eva

“…The purpose: to analyze the clinical and functional results of the complex staged treatment of graft disease in patient with an implanted iris lens diaphragm and concomitant postkeratoplastic ametropia using descemet’s stripping endothelial keratoplasty using a femtosecond laser (FS-DSEK) and MyoRing implantation into a corneal graft using a femtosecond laser on the example of a clinical case. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…Regression provided robust results with minimal computational effort, while FFNN required complex tuning without a clear performance advantage. …”
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GEOLOGICAL FACTORS AND PHYSICOCHEMICAL PROCESSES OF GROUNDWATER FORMATION IN THE TUNKA DEPRESSION by S. Kh. Pavlov, K. V. Chudnenko, V. A. Golubev, A. I. Orgilyanov, P. S. Badminov, I. G. Kryukova

“…The article describes the complex hydrogeological conditions of the Baikal rift zone viewed as a large structural element and pioneers in distinguishing two independent hydraulic systems in the study area. …”
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Towards a robust hydrologic data assimilation system for hurricane-induced river flow forecasting by P. Abbaszadeh, F. Gholizadeh, K. Gavahi, H. Moradkhani

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THE FIRST REPORT OF ABNORMAL AGE RINGS IN OTOLITHS LAPILLUS OF ARIIDS CATFISH by Igor Souza de MORAIS, Juliana de Souza AZEVEDO

“… The present work aimed to record the first presence of abnormal age rings in Cathorops spixii lapillus otoliths from Cananeia-Iguape Estuarine-Lagoon Complex (CIELC), Southern region of Brazilian coast. …”
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<p><strong>Histopathologic studies on bite of a female American dog tick, <em>Derma-centor variabilis</em> (Acari: Ixodidae), in a man: Changes in skin</strong></p> by Vikram Prasad, James W. Amrine, Jr.

“…No deep dermis or hypodermis was received attached with the tick and, thus, no tissue reaction was observed in these two deeper cutaneous layers. The study is of interest indicating removal of tick carefully from the host as soon as possible to avoid cellular-immunologic complex reaction and formation of granuloma or infection in the skin. …”
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Altered dendritic morphology of MEC II pyramidal and stellate cells in Rett syndrome mice by Manigandan Krishnan, Ayishal B. Mydeen, Mohammed M. Nakhal, Marwa F. Ibrahim, Richard L. Jayaraj, Milos R. Ljubisavljevic, Mohammad I. K. Hamad, Fatima Y. Ismail, Fatima Y. Ismail

“…IntroductionMutations in the methyl-CpG-binding protein-2 gene (MECP2), which cause Rett syndrome (RTT), disrupt neuronal activity; however, the impact of the MECP2 loss-of-function on the cytoarchitecture of medial entorhinal cortex layer II (MECII) neurons—crucial for spatial memory and learning—remains poorly understood.MethodsIn this study, we utilized Golgi staining and neuron tracing in the Mecp2+/− mouse model of RTT to investigate the pyramidal and stellate cell alterations in MECII.Results and discussionOur findings revealed that pyramidal cells displayed a significant reduction in apical dendritic length, soma size, and spine density, while basal dendrites showed increased dendritic complexity and branching. …”
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Development of technology and design platforms at topological norms less than 90 nm by Grosheva Ekaterina, Zarevich Anton, Deniskina Antonina, Fatullaeva Kaminat

“…The article also discusses changes in integrated circuit design tools, ranging from manual creation of topological layers to modern automated systems capable of solving complex problems of logical modeling and analysis of chip parameters. …”
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Unconventional band splitting of CeSb in the devil’s staircase transition by Tongrui Li, Zhanfeng Liu, Peng Li, Yuzhe Wang, Zhisheng Zhao, Shiwu Su, Zhicheng Jiang, Yuhao Hong, Hui Tian, Xin Zheng, Yi Liu, Yilin Wang, Zhengtai Liu, Dawei Shen, Zhe Sun, Yang Liu, Juan Jiang, Donglai Feng

“…Combined with our density functional theory (DFT) calculations, we suggest that this atypical behavior deviates from conventional magnetically induced band splitting and potentially arises from the intricate modulation of paramagnetic and antiferromagnetic layers within the devil’s staircase transition. Our results provide insights into the complex relationship between electronic structure and magnetism in correlated electron systems.…”
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Mesoscopic Structure of Lipid Nanoparticles Studied by Small-Angle X-Ray Scattering: A Spherical Core-Triple Shell Model Analysis by Hao Li, Panqi Song, Yiwen Li, Shuyang Tu, Mehwish Mehmood, Liang Chen, Na Li, Qiang Tian

“…Here, we present a core-triple shell SAXS model that resolves LNP hierarchical organization, including the inner lipid layer, intermediate hydrophilic region, and outer PEG corona. …”
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Evaluation of Neural Networks for Improved Computational Cost in Carbon Nanotubes Geometric Optimization by Luis Josimar Vences-Reynoso, Daniel Villanueva-Vasquez, Roberto Alejo-Eleuterio, Federico Del Razo-López, Sonia Mireya Martínez-Gallegos, Everardo Efrén Granda-Gutiérrez

“…However, this process becomes computationally expensive as the molecular structure grows in complexity and size. To address this challenge, this study utilized three deep-learning-based neural network architectures: Multi-Layer Perceptron (MLP), Bidirectional Long Short-Term Memory (BiLSTM), and 1D Convolutional Neural Networks (1D-CNNs). …”
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Impact of error fields and error field correction on heat fluxes in SPARC by S. Munaretto, A. Kleiner, R.M. Churchill, D. Corona, T. Looby, M. Scotto d’Abusco, A. Wingen

“…The presence of non-axisymmetric magnetic field perturbations adds complexity to the problem by generating intricate 3D edge magnetic topologies that alter the heat flux distributions on the target plates. …”
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Low-computational EMG gesture recognition for prosthetic control via handcrafted features and lightweight MLP by Lingzhi Lin, Yuqian Dai, Guodao Zhang, Yisu Ge, Abdulilah Mohammad Mayet, Xiaotian Pan, Genfu Yang, Mian Lin

“…These features are used to train a compact three-layer Multilayer Perceptron (MLP) neural network, which achieves a classification accuracy of 97.7 % across six common hand gestures. …”
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Mineralogy and sulfide mineral chemistry of Khabr iron ore, Southwest of Baft (Southeast of Sanandaj-Sirjan Zone) by Mohammad Boomeri, Habib Biabangard, Somayeh Dehghani Soltani, Azadeh Bordbar

“…The Khabr Iron mineralization is located in the Rutchun complex, which is on top of the Golegohar complex (lower Cambrian) and below the Khabr complex (Devonian) (Figure 1B). …”
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“New” Antigenic Targets and Methodological Approaches for Refining Laboratory Diagnosis of Antiphospholipid Syndrome by Roberta Misasi, Antonella Capozzi, Agostina Longo, Serena Recalchi, Emanuela Lococo, Cristiano Alessandri, Fabrizio Conti, Guido Valesini, Maurizio Sorice

“…Antiphospholipid antibodies (aPLs) are a heterogeneous group of antibodies directed against phospholipids or protein/phospholipid complexes. Currently, aPLs are assessed using either “solid-phase” assays that identify anticardiolipin antibodies and anti-β2-glycoprotein I antibodies or “liquid-phase” assay that identifies lupus anticoagulant. …”
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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…The proposed pruning method is applied to the first hidden layer of a feed-forward real-valued time-delay neural network, commonly used for DPD purposes. …”
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YOLOv8n-WSE-Pest: A Lightweight Deep Learning Model Based on YOLOv8n for Pest Identification in Tea Gardens by Hongxu Li, Wenxia Yuan, Yuxin Xia, Zejun Wang, Junjie He, Qiaomei Wang, Shihao Zhang, Limei Li, Fang Yang, Baijuan Wang

“…The addition of the Spatial and Channel Reconstruction Convolution structure in the Backbone layer reduces redundant spatial and channel features, thereby reducing the model’s complexity. …”
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Metabolic Profiling of <i>Conyza sumatrensis</i> (Retz.) E. Walker from Lugazi, Uganda by Christina Seel, Ivan Kahwa, Hilda Ikiriza, Hannah Sofie Koller, Helene Fitzner, Susan Billig, Claudia Wiesner, Leonard Kaysser

“…The study aimed to analyze the metabolic profile of <i>C. sumatrensis</i> using multiple analytical techniques due to the complexity of the plant composition. Therefore, we employed a combination of thin-layer chromatography (TLC), high-performance liquid chromatography (HPLC), gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-tandem mass spectrometry (LC-MS/MS). …”
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Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network by Amine Ajdour, Brahim Ydir, Houria Bouzghiba, Ishaq Dimeji Sulaymon, Anas Adnane, Dris Ben Hmamou, Kenza Khomsi, Jamal Chaoufi, Gábor Géczi, Radouane Leghrib

“…Abstract The complexity of monitoring is compounded by the environmental and health impacts linked to air pollution. …”
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