Capturing Fine-Grained Food Image Features Through Iterative Clustering and Attention Mechanisms by Wei He, Mengmeng Liu, Qingqi Liang

“…Food image recognition is a crucial initial step for food detection, nutritional analysis, and dietary recommendations. However, it is highly challenging due to the diverse appearance of food, which includes variations in color, texture, and presentation. …”
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THE ROLE OF POSITIONAL ENVIRONMENTAL CUES IN MOVEMENT REGULATION OF YURCHENKO VAULTS IN GYMNASTICS by Thomas Heinen, Anja Brinker, Melanie Mack, Linda Hennig

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CHOOSING THE APPROPRIATE DATABASE TYPE: A COMPARISON OF SQL, NOSQL, AND NEWSQL by BABUCEA ANA-GABRIELA

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Analysis of vehicle and pedestrian detection effects of improved YOLOv8 model in drone-assisted urban traffic monitoring system. by Huili Dou, Sirui Chen, Fangyuan Xu, Yuanyuan Liu, Hongyang Zhao

“…In addition, through visual analysis, our method demonstrates strong target detection capabilities in complex urban traffic environments, and can accurately identify and label targets of multiple categories. …”
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Genomic in situ hybridization (GISH) and performance analysis in intergeneric hybrids from five consecutive generations of Erianthus x Saccharum by V.P. Sobhakumari, K. Mohanraj

“…Erianthus arundinaceus, one of the species of ‘Saccharum complex’ has a number of important agronomic traits including good ratooning ability, tolerance to both drought and waterlogging, disease resistance and vigor and is of interest as a potential source of parental germplasm to sugarcane breeders. …”
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A multi-objective method for large multi-lane roundabout design through microscopic traffic simulation and SSAM analysis by Marco Guerrieri, Masoud Khanmohamadi

“…Roundabouts, recognized for their ability to improve traffic flow and reduce collisions, have become a focal point in traffic management strategies in urban areas. …”
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A comprehensive CFD approach of a thermal analysis of a braking discs system under different design conditions by F. Orlandi, M. Coccetta, S. Meleti, M. Milani, L. Montorsi

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Increasing efficiency and sustainability: A comparative analysis of concrete 3D printing and traditional methods based on case studies by Karamara Merve, Bogdanski Moritz-Ole, Zöller Raphael, Albrecht Sophie Viktoria, Linner Thomas, Bock Thomas, Braml Thomas

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Clinico-psycological characteristics of schizoaffective disorder remission in the context of pathopersonological transformations in the post-manifestation period (a clinical-etholo... by M. Ye. Khomitskyi

“…Timely diagnosis in the period of remission in schizoaffective disorder (SAD) with a high degree of confidence through the clinical-ethological approach, as well as the ability to quantify the dynamics of psychopathological disorders is a promising direction of modern psychiatry. …”
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Analysis of Microstructure and Mechanical Properties of CoCrMo Alloys Processed by Metal Binder Jetting Multi-Step Technique by Alessandro Pellegrini, Fulvio Lavecchia, Maria Grazia Guerra, Luigi Maria Galantucci

“…Metal Binder Jetting (BJT/M) has emerged as a promising additive manufacturing (AM) technology for the realization of complex parts using a wide range of metal alloys. …”
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Relationship between prenatal anxiety, depression, pregnancy stress and their social determinants by Weicui Meng, Sufeila Shalayiding, Xiaoting Wang, Bahedana Sailike, Ting Jiang

“…It overcomes the limitation of traditional regression analysis, which only focuses on the association of a single variable, and can identify core nodes through indicators such as strength and expected influence, thus having unique advantages in analyzing the interactive relationships of complex psychological symptoms. …”
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Fostering scientific creativity in science education through scientific problem-solving approaches and STEM contexts: a meta-analysis by Fredyrose Ivan Libosada Pinar, Albert Andry E. Panergayo, Richard R. Sagcal, Dharel P. Acut, Lydia S. Roleda, Maricar S. Prudente

“…Abstract Scientific creativity is a critical component of science education, promoting innovative thinking and the ability to address complex, real-world challenges. …”
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Comparative analysis of the effectiveness of BPG, AGU, AVIF and HEIF compression methods for medical images corrupted by noise of two types by Viktoriia Naumenko, Volodymyr Lukin, Vitalii Naumenko, Nadiia Kozhemiakina, Mykyta Solodovnyk

“…The scientific novelty of the obtained results includes: 1) The consideration of noise models and parameter levels typical for medical imaging, namely, additive Gaussian noise of such intensity that it approximately corresponds to just noticeable differences, and signal-dependent Poisson noise; 2) The analysis of the multi-scale structural similarity index (MS-SSIM), which has not been previously explored in studies on lossy compression of noisy medical images; 3) A detailed examination of AVIF and HEIF coders to determine whether the optimal operating point (OOP) is observed for them and under which noise conditions; 4) The use of a dataset comprising ten medical images of varying visual complexity, with generalized tendencies revealed for different structural types; 5) The identification of the ability of many metrics to exhibit an OOP for images of moderate visual complexity or those dominated by homogeneous areas; 6) For Poisson noise, the demonstration of a dependence between the quality factor Q in the OOP and the average image intensity, which can be practically estimated for a given image; 7) The finding that different encoders require different approaches to determine their respective OOPs due to their distinct compression control parameters; 8) The observation that compression ratios achieved at the OOP are generally high, supporting the feasibility of using the OOP or its neighbourhood in practice.…”
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Computational Cost and Implementation Analysis of a Wavelet-Based Edge Computing Method for Energy-Harvesting Industrial IoT Sensors by Jaromir Konecny, Jan Choutka, Radim Hercik, Jiri Koziorek, Dangirutis Navikas, Darius Andriukaitis, Michal Prauzek

“…Unlike existing implementations that rely on computationally complex instructions, this approach optimizes the wavelet transform (WT) for resource-limited microcontrollers (MCUs) without sacrificing data quality. …”
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Optimizing gas well deliquification: Experimental analysis of surfactant-based strategies for liquid unloading in gas wells for enhanced recovery by Najeeb Anjum Soomro, Ubedullah Ansari, Bilal Shams, Muhammad Khan Memon, Darya Khan Bhutto, Zhang Rui, Yi Pan

“…The main objective is to elucidate the complexities associated with liquid accumulation in gas wells through the application of sodium dodecyl sulfate (SDS) as an effective surfactant. …”
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Identification and Expression Analysis of Na⁺/K⁺-ATPase and NKA-Interacting Protein in Ark Shells by Man Song, Xiao Liu, Jie Zhang, Wuping Li, Jingfen Pan, Yanglei Jia

“…By utilizing genome assemblies and transcriptomics datasets from multiple ark shell species, we successfully identified two distinct NKA-α subunits and two NKA-β subunits, which are essential components of the NKA complex. Moreover, the discovery of a conserved NKA-interacting protein (NKAIN) highlights the complexity and evolutionary significance of the NKA-NKAIN system in ark shells. …”
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Sampling and Comparison of Extraction Techniques Coupled with Gas Chromatography–Mass Spectrometry (GC-MS) for the Analysis of Substrates Exposed to Explosives by Himanshi Upadhyaya, Alexis J. Hecker, John V. Goodpaster

“…In this study, we developed a protocol for comparing different substrates such as cotton, cardboard, wood, sheet metal, and glass that were exposed to volatiles from C4. 1-bromooctane (1-BO) was used as a single-odor compound to compare the complex odor originating from C4. Triplicates of substrates such as cotton, wood, cardboard, sheet metal, and glass were exposed to 1 g of C4 in a paint can for one week and the substrates were then extracted using various extraction methods such as liquid injection, direct SPME, and headspace analysis coupled with gas chromatography–mass spectrometry. …”
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Effect of External Factors on Trace Element Profile and Biomass of Mustard (Brássica júncea L.) Microgreens: Neural Network Analysis by Yan V. Puhalsky, Nikolai I. Vorobyov, Svyatoslav I. Loskutov, Mariia A. Chukaeva, Ruslan I. Glushakov, Andrew V. Babyka, Denis D. Meshcheriakov, Alla I. Yakubovskaya

“…The method could be used to optimize the biotechnological process for other indoor crops as it makes it possible to partially substitute mineral fertilizers with organic and bacterial complex.…”
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A Study on the Yield Stability of Oilseed Sunflower Genotypes under Drought Stress by Nasrin Akbari, Reza Darvishzadeh

“…Thus, if parametric methods are more capable of evaluating the interaction effects of the genotype × environment and analysis of stability, non-parametric methods have a higher ability to analyze non-crossed interactions. …”
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Spatial-temporal Analysis and Assessment of CMIP6 based Climate Simulation over the Qinghai-Xizang （Tibet） Plateau's Hinterland by Chunyu ZHANG, Aili LIU, Yanran LÜ, Tong JIANG, Min SUN

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