Rosaceae phylogenomic studies provide insights into the evolution of new genes by Lan Jiang, Xiaoxu Li, Kun Lyu, Han Wang, Zhiyuan Li, Wang Qi, Lin Zhang, Yunpeng Cao

“…Given the lack of genomic resources, we assembled a HiFi and Nanopore sequencing-derived 458.58 Mb gap-free telomere-to-telomere high-quality R. banksiae genome with a scaffold N50 = 63.90 Mb. …”
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Synthetic Microwave Focusing Techniques for Medical Imaging: Fundamentals, Limitations, and Challenges by Younis M. Abbosh, Kamel Sultan, Lei Guo, Amin Abbosh

“…To get a fast solution using limited computational resources, those methods assume the tissue is homogeneous and non-dispersive, and thus, a simplified far-field Green’s function is used. …”
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Integrative analysis of efferocytosis- and invasion-related genes as potential biomarkers and therapeutic targets in breast cancer by Jing Yang, Rong Zhang, Lamei Sun, Cong Wang, Ming Feng, Bin Su, Lixin Jiang

“…Abstract Breast cancer remains a primary source of cancer-related mortality among females worldwide. …”
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Chromosome-level genome assembly of starry flounder (Platichthys stellatus) by Weiwei Zheng, Changlin Liu, Shenglei Han, Tengteng Wang, Tao Yang, Zhihong Liu, Dong Xu, Huizong Han, Xiaoqing Xi, Changwei Shao, Kaiqiang Liu

“…In summary, the high-quality chromosome-level genome assembly not only provides valuable resources for genetic research in starry flounder, but also advances the development of molecular breeding technology of starry flounder.…”
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A quantum inspired machine learning approach for multimodal Parkinson’s disease screening by Diya Vatsavai, Anya Iyer, Ashwin A. Nair

“…As disease progression impairs speech, memory, and motor functions over time, early diagnosis is crucial for preserving patients’ quality of life. …”
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Characterization of Spectrin Family Genes and Their Evolutionary Roles in Domestication and Breeding of the Silkworm <i>Bombyx mori</i> by Kunpeng Lu, Chengyu Zhan, Jianghong Shen, Chao Zhi, Jun Deng, Kerui Lai, Minjin Han, Hai Hu, Xiaoling Tong, Fangyin Dai

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Plant- vs. Animal-Based Protein Comparison in the Aging Process and its Role in Perioperative Medicine and Critical Care: A Narrative Review by Cokorda Istri Mas Dalem Sukawati, Agustinus I Wayan Harimawan

“…Beyond aging, protein source selection is a critical factor in specialized medical settings, such as intensive care unit (ICU) nutrition therapy. …”
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AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides by Saptashwa Datta, Jen-Chieh Yu, Yi-Hsiang Lin, Yun-Chen Cheng, Ching-Tai Chen

“…Abstract Aging is a natural phenomenon characterized by the loss of normal morphology and physiological functioning of the body, causing wrinkles on the skin, loss of hair, and compromised immune systems. …”
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Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer by Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu

“…The problem of single-cell RNA annotation involves assigning meaningful labels or annotations to each cell in the scRNA-seq dataset, indicating its corresponding cell type, state, or biological function. Current annotation methods are often challenged by limited source data quality, sensitivity to batch effects, and poor adaptability to uncharacterized cell types. …”
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Ranking economic and environmental performance of feedstocks used in bio-based production systems by Dania Muhieddine Orfali, Samir Meramo, Sumesh Sukumara

“…Nonetheless, this designed data source is the first step for reliable feedstock selection based on sustainability criteria.…”
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“Breaches” in the VKP(b) Okrug Organization in the Summer of 1929 – Summer of 1930 (Based on the Materials of Vyatka Okrug of Nizhny Novgorod Krai) by Yuri N. Timkin

“…The article examines the formation and functioning of the Vyatka Okrug VKP(b) organization in 1929–30, when radical transformations began in the country, primarily in the socio-economic sphere. …”
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Large-scale RNA-Seq mining reveals ciclopirox olamine induces TDP-43 cryptic exons by Irika R. Sinha, Parker S. Sandal, Holly Spence, Grace D. Burns, Aswathy Peethambaran Mallika, Fatemeh Abbasinejad, Katherine E. Irwin, Anna Lourdes F. Cruz, Vania Wang, Shaelyn R. Marx, Josué Llamas Rodríguez, Ben Langmead, Jenna M. Gregory, Philip C. Wong, Jonathan P. Ling

“…We previously found that TDP-43 loss-of-function leads to transcriptome-wide inclusion of deleterious cryptic exons, a signature detected in presymptomatic biofluids and postmortem ALS-FTD brain tissue, but the upstream mechanisms that lead to TDP-43 dysregulation remain unclear. …”
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Tracking the genome-wide occupancy of Arabidopsis LEAFY COTYLEDON1 in endosperm development by Jingpu Song, Xin Xie, Ioannis Mavraganis, Bianyun Yu, Wenyun Shen, Hui Yang, Daoquan Xiang, Yangdou Wei, Yuhai Cui, Jitao Zou

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Improving the understanding and interpretation of myeloma screening among resident doctors and physician associates: a quality improvement project by Mahmoud Gouda, Hannah Hunter

“…Additionally, insufficient confidence in interpreting test results often leads to unnecessary referrals to haematology specialists, wasting valuable resources and time. To address these issues, we implemented two targeted teaching sessions to raise awareness of the correct myeloma screening panel. …”
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Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm by José Oscullo Lala, Nathaly Orozco Garzón, Henry Carvajal Mora, Diego Echeverria, José Vega-Sánchez, Takaaki Ohishi

“…A novel energy-based selection mechanism is introduced to determine the optimal number of intrinsic mode functions (IMFs), improving the decomposition’s adaptability and precision. …”
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Study of the phytotoxicity of margines on Pistia stratiotes L. by Ajdi Mouhcine, Gaga Younes, Assouguem Amine, Kara Mohammed, Benmessaoud Safaa, Ullah Riaz, Ali Essam A., Skender Azra, Singh Jyoti, Bahhou Jamila

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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. …”
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Identification of a PANoptosis-related gene signature reveals therapeutic potential of SFRP2 in pulmonary arterial hypertension by Li Li, Mukamengjiang Juaiti

“…Feature genes were identified through weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO), and random forest (RF) algorithms, with validation performed on external datasets. …”
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The Role of Social Media in Promoting Volunteer Initiatives and Shaping Communities by Iefimova Ganna V., Pashchenko Kseniia O.

“…The methodological basis of the research is an interdisciplinary approach that combines content analysis of social platforms, study of successful volunteer initiatives, and analysis of literary sources. An analysis of the functions of various social media in the context of informing, engaging the audience, and building trust has been carried out. …”
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Prospects for the Integration of Google Trends Data and Official statistics to Assess social Comfort and Predict the Financial situation of the Population by M. V. Shakleinaa, M. I. Volkova, K. I. Shaklein, S. R. Yakiro

“…Google Trends data analysis methods are based on the development of an integrated approach to the semantic search for information about the components of social comfort, which reduces the share of author’s subjectivity; methodology of primary processing, considering the principles of comparability, homogeneity, consistency, relevance, description of functions and models necessary for the selection and adjustment of search queries. …”
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