DISTRIBUTION AND POTENTIAL OF CAMELLIA SPP. IN THE CENTRAL HIGHLANDS, VIETNAM, FOR DEVELOPING HIGH-VALUE PRODUCTS IN THE FOOD INDUSTRY by Thi Thang Long Nguyen, Vu Mai Quynh Luong

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Viral population dynamics and host reprogramming: Insights into grapevine leaf mottling and deformation disease (GLMD) development by Nadia Bertazzon, Luca Nerva, Giorgio Gambino, Walter Chitarra, Elisa Angelini

“…This shift negatively affected plant physiological processes and development, independently of GLMD disease. On the opposite, GLMD symptomatic plants showed the lowest accumulation of the latent GPGV isolates in roots, where transcriptomic profiling reveals impaired secondary cell wall maturation. …”
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L’ignorance matérielle by Maël Goumri

“…This article shows how these uncertainties, by being rooted in the materiality of nuclear technology, constitute a particular form of ignorance. …”
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The Communicative Paradox: Notebooks and Workbooks of the Russian Avant-garde “Big Three” by Lyubov V. Khachaturian

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Development of a multi-targeted real-time PCR assay for the detection of the grapevine pathogen Xylophilus ampelinus by Aleksander Benčič, Alexandra Bogožalec Košir, Janja Matičič, Manca Pirc, Neža Turnšek, Tanja Dreo

“…The Xamp_BA_2 assay demonstrates superior performance and is recommended for routine diagnostics, with other validated assays being employed for confirmation of identification. The development of these new assays represents a significant expansion of our toolkit for the precise detection of X. ampelinus in grapevines, with the potential to contribute to the mitigation of grapevine bacterial blight, the prevention of yield losses, and the protection of international trade in grapevine material. …”
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Development and Characterization of Pyrolyzed Sodium Alginate–Montmorillonite Composite for Efficient Adsorption of Emerging Pharmaceuticals: Experimental and Theoretical Insights... by Ibrahim Allaoui, Rachid Et-Tanteny, Imane Barhdadi, Mohammad Elmourabit, Brahim Arfoy, Youssef Draoui, Mohamed Hadri, Khalid Draoui

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Microstructural characterization and hardness prediction of AlCuCrFeNi high entropy alloys using Transformer-based Physics-Informed Neural Networks (T-PINN) by Mohamed Yasin Abdul Salam, Enoch Nifise Ogunmuyiwa, Victor Kitso Manisa, Abid Yahya, Irfan Anjum Badruddin

“…To predict the hardness properties quantitatively, a Machine Learning (ML) model using a Transformer-based Physics-Informed Neural Network (T-PINN) was developed. The T-PINN model demonstrated high accuracy, with a Root Mean Square Error (RMSE) - 0.048, Mean Absolute Error (MAE) of- 0.036, and R-square (R2) - 0.97 values, respectively. …”
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The Effects of Potassium on Plant Nutrient Concentration, Plant Development, and Rhizoctonia Rot (<i>Rhizoctonia solani</i>) in Pepper by Ümit Bayındır, Zeliha Küçükyumuk

“…Studies have demonstrated its capacity to mitigate the severity of diseases by accelerating seed maturation and promoting robust root system development. In this study, we aimed to determine how increasing potassium doses affect the nutrient content, dry weight, root weight, and resistance to Rhizoctonia rot of the pepper plant. …”
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Development of an interpretable QSPR model to predict the octanol-water partition coefficient based on three artificial intelligence algorithms by Ao Yang, Shirui Sun, Lu Qi, Zong Yang Kong, Jaka Sunarso, Weifeng Shen

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Explaining and Analyzing the Effect of Brand Value Components on Medical Tourism Development: A Case Study of Ahvaz Metropolis by Majid Goodarzi

“…The focus has shifted from merely enhancing hard infrastructure to emphasizing soft infrastructure in urban planning, which includes cultivating a positive mental image and developing a compelling brand for the city. Materials & MethodsThis applied study utilized a descriptive-analytical research method combined with a quantitative-qualitative research design for data collection and analysis. …”
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Random Noise Suppression Method for Inertial Sensors Based on Complexing an AR Model and Adaptive SRUKF Kalman Filter under the PINS Alignment on a Stationary Platform by Trong Yen Nguyen, Quoc Khanh Nguyen, Van Khoi Nguyen

“…In this context, in order to reduce the time of the gyrocompassing mode, data processing methods should be used to eliminate the bias instability and random noise in the signals received from PINS inertial sensors.Aim. To develop a method for suppressing random noise and reducing bias instability in the signals of inertial sensors, thereby reducing the time of the gyrocompassing mode of PINS and providing for the required accuracy of its initial heading angle determination.Materials and methods. …”
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Effect of Locally Flat Distortions in the Radiating Aperture on the Radiation Pattern of a Phased Antenna Array by M. R. Bibarsov, G. Sh. Bibarsova, D. D. Gabrielyan, S. V. Dvornikov, D. S. Fedorov

“…Under these conditions, in order to ensure the formation of a pattern with the given parameters, it is necessary to correct the APD in a PAA.Aim. To develop a method for correcting the APD in a PAA under the known parameters of violations in the radiating aperture geometry.Materials and methods. …”
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Callus induction and establishment of efficient regeneration system for a newly developed line of Ananas comosus (L.) Merrill by Cheng-Li Liu, Fu-Rong Xu, Heng-Yu Huang

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Modeling study of the magnetocaloric behavior of La₀.₆₇Ca₀.₃₃Mn₀.₉₈Ni₀.₀₂O₃ alloys using artificial neural networks by Kawther Laajimi, Emna Ammar Elhadjamor, Radhouane Laajimi, Mehdi Rahmani, Mohamed Hichem Gazzah

“…The growing interest in environmentally friendly cooling technologies has intensified the search for efficient magnetocaloric materials (MCMs). In this context, accurately predicting the magnetocaloric effect is essential for accelerating materials discovery and reducing experimental efforts. …”
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CHALLENGES IN DEVELOPING JUNIOR HIGH SCHOOL STUDENTS' COMPUTATIONAL THINKING SKILLS IN MATHEMATICS THROUGH PROBLEM-BASED LEARNING by Muhammad Tareq Ghifari, Nurjanah Nurjanah, Tatang Herman, Hania Rahmah

“…The subjects were three ninth-grade students who had studied material on exponents and roots, selected based on the teacher's recommendations. …”
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Design and Testing of a Self-Propelled Fork-Tooth Harvester for Medicinal Plant Rhizomes by Long Wang, Wei Sun, Luhai Zhang, Ming Zhao, Petru A. Simionescu

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Developing data driven framework to model earthquake induced liquefaction potential of granular terrain by machine learning classification models by Kennedy C. Onyelowe, Viroon Kamchoom, Tammineni Gnananandarao, Krishna P. Arunachalam

“…Twelve input parameters are used to classify the liquefaction potential for 234 data sets collected from an earthquake-induced liquefaction prone granular material environment. For developing the SVM_Poly, SVM_RBK models, an extensive number of trials were conducted using various combinations of C and d for polynomial kernels and C and ∂ for radial basis function kernel-based support vector machines (SVMs) utilizing user-defined parameters. …”
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Development of the plant collection prescription and the obtaining a liquid extract technology on its basis for prevention and treatment of musculoskeletal system diseases by О. P. Khvorost, T. V. Oproshanska, K. S. Skrebtsova, O. S. Shpychak, A. M. Solomennyi, О. О. Davydenko, О. V. Golyuk

“…A screening of the range of medicinal plant raw materials, which in the form of mono- and polycomponent plant collections are used in phytotherapy of diseases of the musculoskeletal system, was carried out and the most promising types of plant raw materials were selected for creating the collection “Opornofit”: Arctium root (Arctium lappa L., Arctium minus (Hill) Bernh., Arctium tomentosum Mill.), Rose root (Rosa majalis Herrm., Rosa canina L.), rhizomes with roots of Sanguisorba officinalis L., rhizomes with roots of Rumex confertus Willd., and herb of Bidens tripartita L. with an equal ratio of components in the collection. …”
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Driving Forces and Future Scenarios for Territorial Business Development in Iran: A Future-Oriented Study with a Spatial Planning Emphasis by Ali Hosseini, Mostafa Aryankia

“…This research employed a quantitative methodology rooted in future studies to explore and analyze the factors and drivers that influence territorial businesses, ultimately developing various scenarios for their future trajectory. …”
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The Emergence of Social Entrepreneurship in Haiti by Oumar Diallo, Marie Evadie Daniel

“…Despite the fact that Haiti has a unique know-how that is passed down for generations in the area of craft, small industry and in the processing of products, social entrepreneurship has not taken its roots as it should have. Importantly, to get where they are today, it is undeniable that developed nations leaned the strengths of their development on human capital to produce physical/material capital. …”
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