Transformative insights in breast cancer: review of atomic force microscopy applications by Jiamin Ma, Yuanyuan Zhai, Xiaoyi Ren, Huifang Wu, Mengjie Yang, Lijun Chai, Jianzhong Chen

“…This review explores recent advancements in AFM technology as applied to breast cancer research, emphasizing key findings that include the differentiation of various stages of tumor progression through high-resolution imaging, precise characterization of mechanical properties, and the capability for single-cell analysis. …”
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Study on the influence of horizontal stress difference coefficient on hydraulic fracturing fracture by Zengbao ZHANG, Xianbo MENG, Gun HUANG, Xiaoming ZHU, Yong WANG, YU LU, Yiping YUAN, Jiansheng FENG

“…The fractal dimension was calculated by binarization of hydraulic fracture images. The analysis results show that when the horizontal stress difference coefficient is large, the fracture direction is controlled by the maximum horizontal principal stress, and it is easier to form a single through crack, while when the horizontal stress difference coefficient is low, the control effect of the maximum principal stress is weakened, the range of micro-cracks will be expanded, and the hydraulic fracture complexity is relatively higher.…”
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Challenges in Distinguishing Neuro-Behcets Disease from Other Neurological Conditions. A case report from Pakistan by Rafi ullah, Arusa Lakhani

“…Cerebrospinal fluid analysis showed elevated protein levels and neutrophils, consistent with NBD. …”
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Mitochondria-tropic radioconjugates to enhance the therapeutic potential of terbium-161 by Joana F. Santos, Camille Van Laere, Catarina D. Silva, Irwin Cassells, Célia Fernandes, Paula Raposinho, Ana Belchior, Catarina I. G. Pinto, Filipa Mendes, Christopher Cawthorne, Maarten Ooms, Michiel Van de Voorde, Frederik Cleeren, António Paulo

“…In vivo studies were conducted using SCID/Beige mice bearing PCa xenografts and involved µSPECT/CT imaging and radiometabolite analysis to evaluate biodistribution, pharmacokinetics, tumor uptake and in vivo stability of the radiocomplexes. …”
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THE MESSAPIC ELEMENT -IHI: A NEW INTERPRETATION by Kujtim Mani

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Factors Associated with Longitudinal Changes in Mammographic Density in a Multiethnic Breast Screening Cohort of Postmenopausal Women by Hannah Lui Park, Argyrios Ziogas, Stephen A. Feig, Roza Lorin Kirmizi, Christie Jiwon Lee, Andrea Alvarez, Rachel McFarland Lucia, Deborah Goodman, Kathryn M. Larsen, Richard Kelly, Hoda Anton-Culver

“…Our findings support the complexity of the relationships between breast density, BMI, hormone exposure, and breast cancer risk.…”
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THE CONTENT OF FOREIGN LANGUAGE TRAINING FOR NON-LINGUISTIC STUDENTS IN HIGHER EDUCATION IN THE CONTEXT OF CONTEMPORARY CHALLENGES by Nataliia Bespalova, Neliia Blynova, Svitlana Medynska, Anna Voloboieva

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Three-dimensional reconstruction cloud studio based on semi-supervised generative adversarial networks by Chong YU

“…Because of the intrinsic complexity in computation,three-dimensional (3D) reconstruction is an essential and challenging topic in computer vision research and applications.The existing methods for 3D reconstruction often produce holes,distortions and obscure parts in the reconstructed 3D models.While the 3D reconstruction algorithms based on machine learning can only reconstruct voxelized 3D models for simple isolated objects,they are not adequate for real usage.From 2014,the generative adversarial network (GAN) is widely used in generating unreal dataset and semi-supervised learning.So the focus of this paper is to achieve high quality 3D reconstruction performance by adopting GAN principle.A novel semi-supervised 3D reconstruction framework,namely SS-GAN-3D was proposed,which can iteratively improve any raw 3D reconstruction models by training the GAN models to converge.This new model only takes 2D observation images as the weak supervision,and doesn’t rely on prior knowledge of shape models or any referenced observations.Finally,through qualitative and quantitative experiments and analysis,this new method shows compelling advantages over the current state-of-the-art methods on Tanks ＆amp; Temples and ETH3D reconstruction benchmark datasets.Based on SS-GAN-3D,the 3D reconstruction studio solution was proposed.…”
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Hybrid transformer-CNN and LSTM model for lung disease segmentation and classification by Syed Mohammed Shafi, Sathiya Kumar Chinnappan

“…The improved accuracy achieved by the L-MLSTM model highlights its capability to better handle the complexity and variability in lung images. This hybrid approach enhances the model’s ability to distinguish between different types of lung diseases and reduces diagnostic errors compared to existing methods.…”
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A topological approach to positron emission particle tracking for finding multiple particles in high noise environments by Jack A. Sykes, Andrei L. Nicuşan, Dominik Werner, Matthew T. Herald, Daniel Weston, Tzany Kokalova Wheldon, Christopher R. K. Windows-Yule

“…Abstract Positron emission particle tracking (PEPT) is an advanced imaging technique that accurately tracks the three-dimensional spatial coordinates of a radioactively-labelled particle with sub-millimetre and sub-millisecond precision. …”
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Empowering public participation in assessing the indicators of aesthetic value for historical landscape: a case study on Melaka, Malaysia by Muhamad Solehin Fitry Rosley, Nor Zalina Harun, Janatun Naim Yusof, Syumi Rafida Abdul Rahman

“…This study aims to identify reliable indicators by testing public perception, thus resulting in nine indicators derived from aesthetic-based theories: mystery, coherence, legibility, openness, disturbance, complexity, naturalness, and diversity. We conducted an online closed-ended questionnaire survey with 126 respondents using five refined images from the historical city of Melaka, Malaysia that showcase unique urban landscape features. …”
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Reliable detection of CNS lymphoma-derived circulating tumor DNA in cerebrospinal fluid using multi-biomarker NGS profiling: insights from a real-world study by Veronika Navrkalova, Andrea Mareckova, Samuel Hricko, Viera Hrabcakova, Lenka Radova, Vaclav Kubes, Jakub Porc, Tomas Reigl, Sarka Pospisilova, Jana Kotaskova, Andrea Janikova

“…Abstract Background Diagnosing primary or secondary CNS lymphoma (CNSL) is a clinical challenge due to the limitations of standard biopsy and imaging procedures despite established guidelines. …”
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DOF Enhanced via the Multi-Wavelength Method for the Moiré Fringe-Based Alignment by Kairui Zhang, Haifeng Sun, Dajie Yu, Song Hu, Junbo Liu, Ji Zhou

“…The Moiré fringe-based alignment method has the advantages of high precision and low complexity. However, the precision of this method is highly sensitive to variations in the gap between the wafer and the mask. …”
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Optimization of diagnostics of retinopathy of prematurity stages based on the integration of clinical data using the Key to Diagnosis I software by O. A. Pererva, M. A. Kovalevskaya

“…The presence o f“mute” zones, macula localization, traction index of the macular zone (Tm), zone and span of pathological changes, fractal dimension (Df) and complexity of vascular system (СVS) were assessed on automatically created wide-field images, obtained by Ret-Cam Shuttle.   …”
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KSTRV1: A scene text recognition dataset for central Kurdish in (Arabic-Based) scriptZenodo by Sardar Omar Salih, Karwan Jacksi

“…Additionally, 20,000 synthetic text instances have been generated to enhance the dataset’s diversity, quantity, and quality by incorporating varied fonts, orientations, distortions, and background complexities.KSTRV1 captures the multilingual landscape of the Kurdistan Region while addressing real-world challenges like occlusion, lighting variations, and script complexity. …”
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Eosinophilic Fasciitis: A Review of Research and Therapeutic Possibilities by Julia Biernikiewicz, Anna Wilewska, Bartosz Pomirski, Agata Pomirska, Milena Biernikiewicz, Konstanty Alabrudziński, Agnieszka Borowiec, Kinga Borowiec, Paulina Kwaśniewska, Patryk Graczyk

“…Conclusion EF is a rare disease, and its complexity, due to diverse etiologies and variable treatment efficacy, poses significant challenges in clinical practice. …”
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A Compact Real-Time PCR System for Point-of-Care Detection Using a PCB-Based Disposable Chip and Open-Platform CMOS Camera by MinGin Kim, Sung-Hun Yun, Sun-Hee Kim, Jong-Dae Kim

“…The system integrates precise thermal cycling with software-synchronized fluorescence detection and provides real-time analysis through a dedicated user interface. To minimize cost and complexity, a polycarbonate reaction chamber was integrated with a PCB-based heater and thermistor. …”
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Anomaly detection in cropland monitoring using multiple view vision transformer by Xuesong Liu, Yansong Liu, He Sui, Chuan Qin, Yuanxi Che, Zhaobo Guo

“…The pipeline includes the meticulous collection of a vast array of normal and abnormal farmland images, followed by preprocessing to standardize data. …”
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A rare case of a giant pulmonary solitary fibrous tumor: Diagnostic and therapeutic challenges in the absence of malignancy by Nouman Aziz, Waseem Nabi, Sukhrob Makhkamov, Yasmine Elsherif, Adnan Bhat, Sonu Sahni

“…Discussion: This case highlights the unique diagnostic complexity of SFTs, particularly with tumors of exceptional size. …”
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Ensemble learning methods with single and multi-model deep learning approaches for cephalometric landmark annotation by S. Rashmi, S. Srinath, R. Rakshitha, B. V. Poornima

“…The methodology is strategically designed to address the complexities and variations in cephalometric images through a dual learning process: building base learners using end-to-end regression approaches and then constructing a meta-learner that ensembles the output of the base models to obtain collective predictions. …”
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