Development of 3D Chromatin Texture Analysis Using Confocal Laser Scanning Microscopy by André Huisman, Lennert S. Ploeger, Hub F. J. Dullens, Neal Poulin, William E. Grizzle, Paul J. van Diest

“…Conclusion: A set of 35 3D nuclear texture features was used successfully to assess nuclear chromatin patterns in 3D images obtained by confocal laser scanning microscopy, and as a proof of principle we showed that these features may be clinically useful for analysis of prostate neoplasia.…”
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A SITC vision: adapting clinical trials to accelerate drug development in cancer immunotherapy by Pedro J Romero, Leisha A Emens, Elizabeth Garrett-Mayer, Valsamo Anagnostou, Jason J Luke, Ann W Silk, Thomas U Marron, Jane Perlmutter, Brianna Hoffner, Connie Szczepanek

“…Progression criteria have been redefined due to the unique response patterns of IO. Harnessing the power of both biomarkers and the neoadjuvant setting earlier in drug development is of broad interest. …”
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Multi-omics analysis of yolk and allantoic fluid in chicken embryonic development and sexual differentiation by Shaoimin Xu, Jintian Chen, Sifang Long, Hongjian Lin, Lijuan Xie, Jinming Pan

“…Egg yolk proteomics analysis showed that the metabolic requirements of chicken embryos for yolk-derived nutrients increased progressively as embryonic development progressed. It was found that although sex-specific protein expression patterns persisted throughout the developmental stages, the degree of expression differences gradually diminished with developmental time, suggesting that the protein expression of male and female embryos showed convergence in the later stages of development. …”
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Exploratory development of human–machine interaction strategies for post-stroke upper-limb rehabilitation by Kang Xia, Xue-Dong Chang, Chong-Shuai Liu, Yu-Hang Yan, Han Sun, Yi-Min Wang, Xin-Wei Wang

“…However, post-stroke survivors usually experience weak upper arms, limited range of motion (ROM) and involuntary excessive movement patterns. Distinguishing between complex subtle motion intentions and excessive involuntary movements in real-time remains a challenge in current research, which impedes the application of active HMI strategies in clinical practice. …”
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Modifiable risk factors associated with the risk of developing Parkinson's disease: a critical review by Vitor Tumas, Marcelo Jhonatan Aureliano, Carlos Roberto de Melo Rieder, Artur Francisco Schumacher Schuh, Henrique Ballalai Ferraz, Vanderci Borges, Maria Carolina Soares, Dayany Leonel Boone, Carolina Candeias da Silva, Mariana Cavalcanti Costa, Delson José da Silva, Aracelle Victor do Carmo, Luana de Rezende Mikael, Bruno Lopes Santos-Lobato, Ana Lucia Zuma Rosso, Celmir de Oliveira Vilaça, Pedro Braga-Neto, André Borges Ferreira Gomes, Camila Gonçalves Monteiro Carvalho, Grace Helena Letro, Denise Hack Nicaretta, Marcus Vinicius Della Coletta, Egberto Reis Barbosa, Rubens Gisbert Cury, Francisco Eduardo Costa Cardoso, Sarah Teixeira Camargos, Ignacio Fernandez Mata

“…In the present narrative review, we have described the most concrete evidence of associations between environmental factors and the risk of developing PD. Physical activity, healthy dietary patterns, smoking, and caffeine intake are protective factors against PD. …”
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Deciphering the complex links between inflammatory bowel diseases and NAFLD through advanced statistical and machine learning analysis by Deepak Kumar, Brijesh Bakariya, Chaman Verma, Zoltán Illés

“…There is an urgent need for non-invasive methods to diagnose various stages of liver dysfunction and uncover hidden pattern based on individual disease characteristics. …”
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Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures by M. R. Tejonidhi, C. V. Aravinda, S. V. Aruna Kumar, C. K. Madhu, A. M. Vinod

“…Traditional video-based activity recognition methods often grapple with persistent obstacles such as environmental noise, background clutter, and the inter-class similarities inherent in activity patterns. Recent advancements in this field have largely focused on spatial feature extraction, which alone proves inadequate for thorough group activity analysis. …”
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Physics-based modeling and mechanism of polycrystalline diamond tool wear in milling of 70 vol% Si/Al composite by Lianjia Xin, Guolong Zhao, Zhiwen Nian, Haotian Yang, Liang Li, Ning He

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Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning by Ghulam Ghous, Shaheryar Najam, Mohammed Alshehri, Abdulmonem Alshahrani, Yahya AlQahtani, Ahmad Jalal, Hui Liu

“…A transformer encoder with integrated spectral and temporal attention mechanisms captures intricate patterns and long-range dependencies within the EEG signals. …”
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Using Genetic Algorithm in Optimizing Decision Trees for Credit Scoring of Banks Customers by Mahmood i Alborz, Mohammad Ebrahim Mohammad Pourzarandi, mohammad khanbabaei

“…Genetic algorithm can help in credit scoring of customers by choosing appropriate features and building optimum decision trees. Development process in pattern recognition and CRISP process are used in credit scoring of customers in construction of this model. …”
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Real time blood detection in CCTV surveillance using attention enhanced InceptionV3 by Adnan Khalil, Fakhre Alam, Dilawar Shah, Irshad khalil, Shujaat Ali, Muhammad Tahir

“…This study proposes a real-time deep learning framework that combines the InceptionV3 architecture with Convolutional Block Attention Modules to enhance spatial and channel-level feature discrimination. The model is further optimized through a proposed attention module that intensifies attention to small and minute blood-related patterns, even under challenging conditions such as occlusions, motion blur, and low visibility. …”
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Domain Knowledge Preservation in Financial Machine Learning: Evidence from Autocallable Note Pricing by Mohammed Ahnouch, Lotfi Elaachak, Erwan Le Saout

“…Machine learning applications in finance commonly employ feature decorrelation techniques developed for generic statistical problems. …”
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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…PD signals were collected using a combination of High-Frequency Current Transformer (HFCT) and Ultra High Frequency (UHF) sensors, capturing time-domain waveforms, frequency-domain spectra, and Phase-Resolved Partial Discharge (PRPD) patterns, from which feature quantities were extracted. …”
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Genomic features, antimicrobial resistance and pathogenicity assessment of Escherichia coli serotype O177:H51 strain JS01 isolated from a diseased chicken by Lunbin Xia, Guanglei Wang, Naidong Chen, Deliang Qiao, Jianwen Cao, Shaoshuai Bi

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Integrating the landscape scale supports SAR-based detection and assessment of the phenological development at the field level by Johannes Löw, Steven Hill, Insa Otte, Christoph Friedrich, Michael Thiel, Tobias Ullmann, Christopher Conrad

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The Residents\' Experiences of Physical Integration in Settlement Developments: A Case Study of Historical Village of Qahi by Azadeh Lak, Eftekhar Azizkhani

“…The rural development has been implemented based on urban development plans in the form of contemporary urban grid pattern which is at odds with the organic pattern of the village. …”
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Research prevalence of psoriasis in countries and Ukraine by А. А. Kotvitska, V. V. Carlo

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Economic and Social Aspects of the Space Sector Development Based on the Modified Structure–Conduct–Performance Framework by Michał Pietrzak

“…In the recent two decades, new entrants (called “New Space”) have begun altering market structure, resulting in new conduct patterns focused on pursuits towards serial production, reusability, and lowering costs. …”
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Development of an Artificial Neural Network-Based Image Retrieval System for Lung Disease Classification and Identification by Atul Pratap Singh, Ajeet Singh, Amit Kumar, Himanshu Agarwal, Sapna Yadav, Mohit Gupta

“…Leveraging the capabilities of ANNs, specifically convolutional neural networks (CNNs), the system aims to capture intricate patterns and features within images that are often imperceptible to human observers. …”
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Development of a High‐Latitude Convection Model by Application of Machine Learning to SuperDARN Observations by W. A. Bristow, C. A. Topliff, M. B. Cohen

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