RESEARCH OF ACID TRANSACTION IMPLEMENTATION METHODS FOR DISTRIBUTED DATABASES USING REPLICATION TECHNOLOGY by Oksana Mazurova, Artem Naboka, Mariya Shirokopetleva

“…The obtained results allowed to make functions of dependence of the considered metrics on loading parameters. …”
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Bioplastics value chain and blockchain: reducing transaction costs by Eduarda Lara Mendonça Moreira, Andrei Domingues Cechin

“…Findings – Dominant TCs result from monitoring specific attributes of pretreated açaí seeds and biopolymers, supplier selection, environmental purchasing, time and place specificity, quality control management and technological specificity. …”
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Innovative and best practices in sustainable strategies for waste reduction in additive manufacturing by Kazeem Aderemi Bello, Rendani Wilson Maladzhi

“…This transformative journey will undoubtedly redefine the landscape of modern manufacturing and lead us toward a sustainable and resource-efficient future.…”
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Distinct repertoires of microRNAs present in mouse astrocytes compared to astrocyte-secreted exosomes. by Ana Jovičić, Aaron D Gitler

“…The exosomal miRNA profiling dataset we have generated will provide a resource to aid in the investigation of this selection mechanism. …”
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Influence of Tear Film Condition in Keratoconus on the Results of Topographic and Tomographic Methods of Corneal Examination. Review by A. Yu. Slonimsky, V. V. Averich, T. S. Mitichkina

“…In case of dry eye syndrome detection, symptomatic treatment allows to minimize instrument measurement errors and increase functional results of the planned surgical intervention.Of particular interest is the impact of dry eye syndrome on the diagnosis and monitoring of keratoconus, as the two conditions often co-occur. …”
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Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies. by Mario Pannunzi, Thomas Nowotny

“…To navigate a plume and, for example, find food, they must solve several challenges, including reliably identifying mixtures of odorants and their intensities, and discriminating odorant mixtures emanating from a single source from odorants emitted from separate sources and just mixing in the air. …”
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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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PCI-DB: a novel primary tissue immunopeptidome database to guide next-generation peptide-based immunotherapy development by Sven Nahnsen, Hans-Georg Rammensee, Cécile Gouttefangeas, Jonas S Heitmann, Juliane S Walz, Jens Bauer, Marcel Wacker, Annika Nelde, Jonas Scheid, Steffen Lemke, Marissa L Dubbelaar, Patrick Zimmermann, Naomi Hoenisch Gravel, Susanne Jung, Anna Dengler, Yacine Maringer, Sven Fillinger, Tatjana Bilich

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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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Effects of Rumen-Protected Methionine on Meat Quality, Fatty Acid Composition, Volatile Flavor Compounds and Transcriptomics of <i>Longissimus lumborum</i> of Yak (<i>Bos grunniens... by Xia Wu, Zizhen Zuo, Jiajia Li, Jianhui Fu, Jincheng Zhong, Hui Wang, Haitao Shi, Yanling Huang, Haibo Wang

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Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

“…At the present stage, the method of multi-parameter multi-level combination test block trial production is often used, but its production cycle is long, and the waste of human and material resources is serious. In this study, with the help of machine learning, a support vector machine prediction model of gear tissue distribution is constructed based on heat treatment parameters, and the radial basis functions kernel function is selected as the kernel function of the support vector machine to improve the accuracy of model prediction by optimizing the kernel parameters. …”
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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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Comprehensive Evaluation of Soil Quality Reconstruction in Agroforestry Ecosystems of High-Altitude Areas: A Case Study of the Jiangcang Mining Area, Qinghai–Tibet Plateau by Liya Yang, Shaohua Feng, Xusheng Shao, Jinde Zhang, Tianxiang Wang, Shuisheng Xiong

“…The study selected the Jiangcang mining area and analyzed the physical, chemical, and carbon characteristics and heavy metal content of soil samples from the slag platforms and slopes (0–20 cm), which were restored in 2015 and 2020 to explore the effects of different soil reconstruction methods on soil function and ecological resilience. …”
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Economics production buffalo breeding farms in the province of Nineveh (Badush area a case stady) by Salim AL- Nuaimy, Zwaid, F. Abd, Mahasen, M, Sultan

“…Buffalo breeding are one of  the important agricultural activities of economic yield farms  and breeding Buffalo in traditional farms mainly for milk in the area of ​​Badush (study area) where the buffalo products are of great interest to citizens and represent a special place in the economic structure The research aims to analyze the economics of  production and costs of these farms in the sample of the study (58) farm for the productive season 2013, which accounted about 50% of the research community in Nineveh province through the estimation of  production and costs of the application of  principles of selection in using of elements of production and to show the impact of these elements and contribute to help farmers in using their resources with a degree of efficiency and making productive decisions based on the economic derivatives of these functions to determine the optimal production and most of the profits. …”
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A Framework for Upgrading Contaminated Urban Land and Soil by Nature-Based Solutions: Demonstration with a Swedish Case by Shaswati Chowdhury, Yevheniya Volchko, Jenny Norrman

“…To move towards a circular economy and to meet the upcoming EU soil health legislation, both contaminated land and contaminated soil should be acknowledged as fragile and valuable resources to be restored and recycled to provide essential ecosystem services to humans. …”
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YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning by Chenxing Wu, Changlong Cai, Feng Xiao, Jiahao Wang, Yulin Guo, Longhui Ma

“…To address challenges such as large-scale variations, high density of small targets, and the large number of parameters in deep learning-based target detection models, which limit their deployment on UAV platforms with fixed performance and limited computational resources, a lightweight UAV target detection algorithm, YOLO-LSM, is proposed. …”
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