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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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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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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Advances in the Application of Anthocyanin-based Smart Packaging Films for Food Preservation by Ying SUN, Peizhao LI, Shen LIU, Xing GUO, Binglin LU, Lianzhou JIANG, Shuping LIU

“…First, the chemical properties of anthocyanins are discussed to explain the principle of color change, then the source differences of anthocyanin, extraction methods, and the selection of film forming matrix of anthocyanin intelligent packaging film are discussed, and the construction of anthocyanin intelligent packaging film is sorted out. …”
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On-Chip Beam Splitting Strategies Based on SWG Assisted Directional Coupler for 850 nm Optical Coherence Tomography - A Numerical Study by Yue Dong, Jinye Yang, Yin Xu, Bo Zhang, Yi Ni

“…The bandwidth of the SWG assisted DC is maximized to 110 nm by selecting appropriate SWG geometries including its duty cycle and period. …”
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Multi-wavelength optical information processing with deep reinforcement learning by Qiuquan Yan, Hao Ouyang, Zilong Tao, Meili Shen, Shiyin Du, Jun Zhang, Hengzhu Liu, Hao Hao, Tian Jiang

“…In systems based on dispersion compensating fiber, micro-ring resonator array, and Mach-Zehnder interferometer array that use multi-wavelength optical carriers as the light source, the DRC method enables the completion of the corresponding signal processing functions within 21 iterations. …”
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ClimKern v1.2: a new Python package and kernel repository for calculating radiative feedbacks by T. P. Janoski, T. P. Janoski, T. P. Janoski, T. P. Janoski, T. P. Janoski, I. Mitevski, R. J. Kramer, M. Previdi, L. M. Polvani, L. M. Polvani, L. M. Polvani

“…<p>Climate feedbacks are a significant source of uncertainty in future climate projections and need to be quantified accurately and robustly. …”
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Ecological security driving mechanisms and optimization of zoning in Chinese urban agglomerations: A case study of the central plains urban agglomeration by Jinyuan Zhang, Xuning Qiao, Yongju Yang, Liang Liu, Yalong Li, Shengnan Zhao

“…Additionally, it combines the ’Three-dimensional Rubik’s Cube model with primary functional zoning to enhance the optimization of ecological security delineation. …”
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Evaluation of Self-Regulating Doped Ferrite Nanoparticles with Glucose, Chitosan, and Poly-Ethylene Glycol Coatings for Hyperthermia and Dual Imaging by Negri A, Conti A, Milan E, Forlin E, Gherlinzoni F, Morana G, Gottardi M, Matteazzi P, Speghini A, Bongers A, Marzola P

“…Following intravenous administration, MRI and MPI functionalities were analyzed through phantom studies and in vivo murine models.Results: Coated M55 NPs displayed high colloidal stability in water and effective functionalization. …”
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Sensitivity and Specificity of Three Measures of Intrinsic Capacity in Older People Aged 80 and Over in Nursing Homes by Ma L, Zheng E, Fang Y, Chen H, Zhou C, Cai S, Luo F, Jiang W, Wang J, Ning X, Tu H, Yin Z

“…IC spans five function domains: Locomotor, psychological, cognitive, vitality, and sensory (including vision and hearing). …”
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Analisis Kemampuan Literasi Informasi antara Anggota Ikatan Pustakawan Pelajar dan Non Anggota Pada Siswa SMAN 5 Malang Berdasarkan Model Empowering Eight by Marshanda Anta Azzarah, Adi Prasetyawan

“…Data Analysis. The primary data source is the main sample of the research obtained from the questionnaire. …”
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Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks by Hasan A. A. Al-Rawi, Kok-Lim Alvin Yau, Hafizal Mohamad, Nordin Ramli, Wahidah Hashim

“…Routing enables a source node to search for a least-cost route to its destination node. …”
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Open Radio Access Networks “O-RAN” SystemsThroughput improvement) by Russul Qasim, Ismail S. Baqer

“…The suggested iterative approach, namely LSF-IV, leverages the large-scale fading detection (LSF) and the intermediate value method (IV) to attain the balancing between users' uplink spectral performance. …”
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Identification and assessment of threats to the financial security system of the state in the field of customs control by O.M. Petruk, Yu.S. Kostishin

“…The purpose of this article is to identify and assess threats to the financial security of the state in the customs sphere, the source of which is the inefficient functioning of the customs control mechanism. …”
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