Optimizing colorectal cancer segmentation with MobileViT-UNet and multi-criteria decision analysis by Barun Barua, Genevieve Chyrmang, Kangkana Bora, Manob Jyoti Saikia

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Enhancing Single-Cell and Bulk Hi-C Data Using a Generative Transformer Model by Ruoying Gao, Thomas N. Ferraro, Liang Chen, Shaoqiang Zhang, Yong Chen

“…The 3D organization of chromatin in the nucleus plays a critical role in regulating gene expression and maintaining cellular functions in eukaryotic cells. High-throughput chromosome conformation capture (Hi-C) and its derivative technologies have been developed to map genome-wide chromatin interactions at the population and single-cell levels. …”
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Optimization of Multi-Source Remote Sensing Soil Salinity Estimation Based on Different Salinization Degrees by Huifang Chen, Jingwei Wu, Chi Xu

“…Specifically, this study integrated in situ hyperspectral data and satellite multispectral data using spectral response functions. Subsequently, machine learning methods such as random forest (RF), extreme gradient boosting (XGBoost), support vector machine (SVM), and multiple linear regression (MLR) were employed, in combination with sensitive spectral indices, to develop a multi-source remote sensing soil salinity estimation model optimized for different salinization degrees (mild or lower salinization vs. moderate or higher salinization). …”
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Prediction and design of thermostable proteins with a desired melting temperature by Purva Tijare, Nishant Kumar, Gajendra P. S. Raghava

“…Abstract The stability of proteins at higher temperatures is crucial for their functionality, which is measured by their melting temperature (Tm). …”
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Cyber epidemic spread forecasting based on the entropy-extremal dynamic interpretation of the SIR model by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Tetiana Gryshchuk

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Artificial intelligence and omics-based autoantibody profiling in dementia by Kazuki M. Matsuda, Yumi Umeda-Kameyama, Kazuhiro Iwadoh, Masashi Miyawaki, Mitsutaka Yakabe, Masaki Ishii, Sumito Ogawa, Masahiro Akishita, Masahiro Akishita, Shinichi Sato, Ayumi Yoshizaki

“…Future research should involve longitudinal observation in larger, diverse cohorts and functional studies to clarify autoantibodies' roles in dementia pathogenesis and their diagnostic and therapeutic potential.…”
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Molecular mechanisms of signaling transduction pathways of drug target molecules with recent advancements and future perspectives for successful therapy: a comprehensive and explor... by Sujana Kamepalli, Sambamoorthy Unnam, Satyabrata Bhanja, Krishna Reddy Yeduru, Pratap Kumar Patra, Nasreen Sulthana, Roja Pathakota, Renukadevi Thota, Arun Kumar Sanapala

“…The notion of cellular signaling and the range of signaling pathways that control important cellular functions are first explained in this chapter. It highlights the intricate interactions between the essential elements of signaling pathways, such as effectors, ligands, receptors, and intercellular messengers. …”
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Additively manufactured conductive and dielectric 3D metasurfaces for independent manipulation of broadband orbital angular momentum by Mengze Li, Jiaqi Cai, Li Deng, Xiaopeng Li, Francesca Iacopi, Yang Yang

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Application of improved graph convolutional network for cortical surface parcellation by Jia Tan, Xiaomei Ren, Yong Chen, Xianju Yuan, Feiba Chang, Rui Yang, Chengqun Ma, Xiaoyu Chen, Miao Tian, Wei Chen, Zihong Wang

“…Abstract Accurate cortical surface parcellation is essential for elucidating brain organizational principles, functional mechanisms, and the neural substrates underlying higher cognitive and emotional processes. …”
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Development and validation of a multiple myeloma diagnostic model based on systemic lupus erythematosus-associated genes and identification of specific genes by Yuepei Liu, Songshan Liu

“…We used GO and KEGG pathway analyses to investigate the functionalities and pathway enrichments of the DEGs that we found in MM and SLE populations. …”
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Infusing social-emotional skills into a career and life planning course for college adults: A qualitative analysis and quantitative summary of student perceptions at post-course an... by Maya Hareli, Joshua C. Knutsen, Lauren M. Nowakowski, Colleen S. Conley, Carol H. Gonzales

“…Social and emotional learning (SEL) is important for the healthy functioning of emerging adults. …”
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Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems by Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein

“…The efficacy of mHLOA is rigorously evaluated using 12 complex benchmark functions from the CEC’22 test suite and 14 standard datasets from the UCI Machine Learning Repository. …”
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Fed-DPSDG-WGAN: Differentially Private Synthetic Data Generation for Loan Default Prediction via Federated Wasserstein GAN by Padmaja Ramachandra, Santhi Vaithiyanathan

“…This paper uses federated learning to create synthetic data to improve loan defaulter prediction. …”
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Multiple analytical perspectives of mitochondrial genes in the context of preeclampsia: potential diagnostic markers by Can Li, Can Li, Fang Liu, Chao Li, Xiangzhong Zhao, Qiulan Lv, Aiping Jiang, Shuping Zhao

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Drug–target interaction prediction by integrating heterogeneous information with mutual attention network by Yuanyuan Zhang, Yingdong Wang, Chaoyong Wu, Lingmin Zhan, Aoyi Wang, Caiping Cheng, Jinzhong Zhao, Wuxia Zhang, Jianxin Chen, Peng Li

“…Methods Here, we propose DrugMAN, a deep learning model for predicting drug–target interaction by integrating multiplex heterogeneous functional networks with a mutual attention network (MAN). …”
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Critical gene network and signaling pathway analysis of the extracellular signal-regulated kinase (ERK) pathway in ischemic stroke by Rui Mao, Lei Wang, Haitao Zhang, Jiaojiao Gong, Hua Liu

“…Gene Ontology (GO) enrichment and protein–protein interaction (PPI) network analyses further elucidated the functional and interaction landscapes of the key ERK pathway genes, collectively termed GSERK. …”
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Copper Metabolism-Related Genes as Biomarkers in Colon Adenoma and Cancer by Zhang T, Fu Y

“…Further clinical validation is needed.Keywords: copper metabolism, colon adenoma, machine learning, biomarkers, single-cell RNA sequencing…”
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VANTAGE: An open‐source application for visualisation, navigation and analysis of video and ancillary time‐series data in bio‐logging studies by Stefan Schoombie, Tagen deWet, Stefan Britz, Andrew D. Lowther, W. Chris Oosthuizen

“…VANTAGE aims to simplify time‐consuming data processing and analyses through (1) concurrent visualisation of video footage and accompanying bio‐logger time‐series data, (2) temporal synchronisation of the different data streams, (3) efficient annotation across data types, and (4) video enhancement and machine learning functionalities. We illustrate both manual and automated synchronisation of animal‐borne video and accelerometer‐depth data (obtained from foraging penguins) using VANTAGE. …”
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Field-independent carbon mapping and quantification in forest plantation through remote sensing by Saverio Francini, Elia Vangi, Giovanni D’Amico, Costanza Borghi, Guido Cencini, Cecilia Monari, Catherine Zolli, Gherardo Chirici

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Feature selection and aggregation for antibiotic resistance GWAS in Mycobacterium tuberculosis: a comparative study by Kirill Reshetnikov, Daria Bykova, Daria Bykova, Konstantin Kuleshov, Konstantin Kuleshov, Konstantin Chukreev, Egor Guguchkin, Alexey Neverov, Gennady Fedonin

“…Statistical machine learning (ML) methods are used to infer new genes implicated in drug resistance leveraging large collections of isolates with known whole-genome sequences and phenotypic states for different drugs. …”
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