Conceptual principles of formation and functioning of vertically integrated structures by V.A. Topilo, V.K. Danylko

“…Based on the decomposition analysis, the paper clarifies the concept of «vertically integrated structure», which should be understood as a form of functioning the business structure, that arose by combining financial, production, labor resources of various organizational and legal forms related to the technological cycle (the process of supply, production and sale of products) in order to obtain maximum synergy and strategic competitive advantages. …”
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Scientific rationale of ingredients choice for functional fish pastes by A. S. Kupriy, N. I. Dunchenko, E. S. Voloshina

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The role of vesicle trafficking genes in osteoblast differentiation and function by Hui Zhu, Yingying Su, Jamie Wang, Joy Y. Wu

“…The top 3 annotations are all associated with endoplasmic reticulum and Golgi vesicle transport. We selected 22 trafficking genes that have not been well characterized in bone for functional validation in MC3T3-E1 pre-osteoblasts. …”
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Fast detection method for radionuclides based on Sequential Bayesian approach by WAN Linjian, ZHANG Xuan, ZHANG Chunlei, HUANG Jianwei, LIU Jiacheng, ZHANG Xiaole, LI Dehong, YANG Zhijun

“…Finally, experimental verifications were conducted on the feasibility, detection performance, and universality of the method by placing a set of standard point sources at different distances from the front of a LaBr3(Ce) detection system in both low and natural radiation background environments. …”
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The functional mechanisms of phosphite and its applications in crop plants by Zhenyi Li, Xiangjiu Kong, Zhiqiang Zhang, Fang Tang, Mingjiu Wang, Mingjiu Wang, Yan Zhao, Fengling Shi

“…Notably, ptxD also acts as an ideal selectable marker because its resistant is specific to Phi, thereby eliminating the risk of false positive clones. …”
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Identification of Selection Signatures Related to Johne\'s Disease in Iranian Holstein Cows using Genomic Data by Fateme Navoshki, Hossein Moradi shahr babak, Ali Sadeghi Sefid Mazgi, johann soelkner

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A Self-Adaptive Particle Swarm Optimization Based Multiple Source Localization Algorithm in Binary Sensor Networks by Long Cheng, Yan Wang, Shuai Li

“…Then the maximum likelihood estimator is employed to establish the objective function which is used to estimate the location of sources. …”
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Advances in preparation and application of coal-based functional nanomaterials by Shenyong LI, Shenjun QIN, Changquan MEN, Jiajia HOU, Dawei LYU, Xue ZHENG, Wei PANG, Longlong HAO, Daoyuan ZHAO, Shaozhuo ZHANG

“…However, traditional coal utilization as a primary carbon emission source fundamentally conflicts with the “dual-carbon” strategic goals. …”
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Joint Multifractal Analysis and Source Testing of River Level Records Based on Multifractal Detrended Cross-Correlation Analysis by Liang Wu, Manling Wang, Tongzhou Zhao

“…It is important for the detection of change in multifractality in space. Besides, the cross-correlations in two analyzed series make the analysis of sources of joint multifractality difficult. …”
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Assessment of the capacity of health facilities in preventing and managing non-communicable diseases in selected regions of Somaliland by Opeolu O. Ojo, Omar O Hersi, Ayodele A Falobi, Nura Ali, Lawrence Tan, Yusuf A. Ali

“…The survey focused on assessing the capacity of selected hospitals in detecting and managing NCDs by collecting data on the availability of health workers, equipment, screening and management services, medications, and laboratory tests. …”
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Boosting feature selection efficiency with IMVO: Integrating MVO and mutation-based local search algorithms by Maryam Askari, Farid Khoshalhan, Hodjat Hamidi

“…Our method balances exploration and exploitation, focusing resources on the most promising regions, thus enhancing feature selection effectiveness and reducing computational costs. …”
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Genetic Structure and Selection Signals for Extreme Environment Adaptation in <i>Lop Sheep</i> of Xinjiang by Chenchen Yang, Jieru Wang, Lanshu Bi, Di Fang, Xin Xiang, Abliz Khamili, Waili Kurban, Chunmei Han, Qinghua Gao

“…Using Yuli <i>Lop sheep</i> as the reference group, an analysis of the extreme environmental adaptability selection signal of <i>Lop sheep</i> was conducted. …”
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Assessing Gross Motor and Gait Function Using Hip–Knee Cyclograms in Ambulatory Children with Spastic Cerebral Palsy by Jehyun Yoo, Juntaek Hong, Jeuhee Lee, Yebin Cho, Taekyung Lee, Dong-wook Rha

“…Weakness, spasticity, and muscle shortening are common in children with cerebral palsy (CP), leading to deficits in gross motor, gait, and selective motor functions. While traditional assessments, such as the Gross Motor Function Measure (GMFM-66), instrumented gait analysis, and the Selective Control Assessment of the Lower Extremity (SCALE), are widely used, they are often limited by the resource-intensive nature of hospital-based evaluations. …”
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Algorithms for Automatic Detection and Location of Infrasound Events in the PSDL System by Asming Vladimir Ernestovich, Fedorov Andrey Viktorovich

“…An algorithm for detecting infrasound signals by calculating the cross-correlation function between records of individual sensors in a array is described. …”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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Detection, Parameter Estimation and Direction Finding of Periodic Pulse Signals by V. B. Manelis, I. S. Faustov, V. A. Kozmin

“…Simple-to-implement algorithms for detecting periodic pulse signals, evaluating their parameters, and direction finding of the source have been developed. …”
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Exploring RNA cargo in extracellular vesicles for pleural mesothelioma detection by Agnieszka Kraft, Michaela B. Kirschner, Vanessa Orlowski, Manuel Ronner, Caroline Bodmer, Valentina Boeva, Isabelle Opitz, Mayura Meerang

“…Conclusions This is the first study to characterize the transcriptomic profile of EVs secreted by PM primary cell cultures, demonstrating their potential as biomarker source for early detection. Further investigation of the functional role of PM-EVs will provide new insights into disease biology and therapeutic avenues.…”
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Schizophrenia Detection and Classification: A Systematic Review of the Last Decade by Arghyasree Saha, Seungmin Park, Zong Woo Geem, Pawan Kumar Singh

“…The SZ symptoms can significantly impair daily functioning, underscoring the need for advanced diagnostic tools. …”
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Development of curd semi-finished product with functional properties by L. Yu. Lavrova, E. L. Bortsova, S. A. Ermakov

“…Thanks to the research done, a curd product with functional properties and high quality and safety indicators was obtained, which can be recommended for feeding various groups of the adult population and in the diets of therapeutic and preventive nutrition.…”
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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

“…Finally, to further enhance the classification performance of defect prediction, a heterogeneous data stacking ensemble learning algorithm (HEDSE) based on feature selection is proposed. Experimental evaluations on 16 open-source software defect datasets indicate that the proposed HEDSE outperforms existing methods, providing a novel and effective solution for software defect prediction. …”
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