Identification and characterization of mRNAs of receptor-like kinases MhyGSO1 and MhyGSO2 in flowering parasitic plant Monotropa hypopitys by A. V. Shchennikova, E. Z. Kochieva, A. V. Beletsky, M. A. Filyushin, O. A. Shulga, N. V. Ravin, K. G. Skryabin

“…In Arabidopsis thaliana, two paralogous leucine-rich repeat receptor-like kinases, GASSHO1 and GASSHO2, redundantly participate in the regulation of various root cells identity and functioning and the proper epidermis patterning. …”
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Liquid-like versus stress-driven dynamics in a metallic glass former observed by temperature scanning X-ray photon correlation spectroscopy by Maximilian Frey, Nico Neuber, Sascha Sebastian Riegler, Antoine Cornet, Yuriy Chushkin, Federico Zontone, Lucas Matthias Ruschel, Bastian Adam, Mehran Nabahat, Fan Yang, Jie Shen, Fabian Westermeier, Michael Sprung, Daniele Cangialosi, Valerio Di Lisio, Isabella Gallino, Ralf Busch, Beatrice Ruta, Eloi Pineda

“…Profiting from modern detector technology and highly brilliant fourth-generation synchrotron radiation, we apply temperature scanning X-ray photon correlation spectroscopy (XPCS) to probe the dynamics of a Pt-based metallic glass former in the glass, glass transition region, and supercooled liquid, covering up to six orders of magnitude in timescales. Our data demonstrates that the structural α-relaxation process is still observable in the glass, although it is partially masked by a faster source of decorrelation observed at atomic scale. …”
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Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method by Mohammad Saichu Nidom

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Tissue Distribution and Proliferation Characteristics of pVA1-like Plasmid After Infection with Vibrio parahaemolyticus in the Pacific White Shrimp Penaeus vannamei by Xingqi SU, Qiang FU, Xupeng LI, Jie KONG, Jiteng TIAN, Baoxiang CAO, Ning LIU, Sheng LUAN, Kun LUO, Xianhong MENG

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RecompGPT: Generative Pre-Trained Transformers-Assisted Interactive Human Gaze Pattern Learning and Distribution Modeling for Scene Recomposition by Wang Shang, Nassiriah Binti Shaari, Nur Sauri Bin Yahaya, Liu Hao

“…Through the integration of multimodal data, RecompGPT employs a novel Locality-Preserved and Observer-Like Active Learning (LOAL) strategy to incrementally generate Gaze Shift Paths (GSPs). …”
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USING THE KARHUNEN-LOÈVE TRANSFORM TO SUPPRESS GROUND ROLL IN SEISMIC DATA by Kazmierczak Thaís de Souza, Castillo López Luís, Gómez Londoño Ernesto

“…ABSTRACTThe Sacchi's algorithm (2002) based on the Karhunen-Loève (K-L) Transform was modified and implemented to suppress Ground Roll without distortion of the reflection signals, it provided better results than conventional techniques for noise removal like f-k, High-Pass and Band Pass Filters. The K-L Transform is well known in other fields as image processing (Levy and Linderbaurn, 2000), face, iris and fingerprint identification. …”
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ML-Based Pain Recognition Model Using Mixup Data Augmentation by Raghu M. Shantharam, Friedhelm Schwenker

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Information Logistics Solutions in Healthcare: From Data to Demand Fulfilling Information by Sven Meister, Wolfgang Deiters, Sven Schafer, Valentin Stahlmann

“…The extensive usage of information and communication technologies (ICT) within healthcare, like electronic health records, Ambient Assisted Living (AAL) and telemedicine, results in a continuously increasing amount of heterogeneous data. …”
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Exploring relative instances of exposure in equilibrium of migration processes based on population characteristics by László Pitlik, Péter Kollár, Zsolt Fülöp, Imre Madarász

“…The necessary data asset (a kind of Big Data) is given by OECD/EUROSTAT, for example The questions and data assets are well-known. …”
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A Qualitative Research on University Students’ Religious Approaches during the Grieving Process by Elif Kara

“…A semi-structured interview form has been used as the data collection tool. Data obtained from the interviews have been subjected to content analysis. …”
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Using Markov Decision Process Model for Sustainability Assessment in Industry 4.0 by Majid Sodachi, Amir Pirayesh, Omid Fatahi Valilai

“…The manufacturing industry is facing increasing challenges to improve sustainability performance by using Industry 4.0 technologies like big data analytics, the internet of things, and digital twins, considering their potentials. …”
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Analysis and Prediction on Vehicle Ownership Based on an Improved Stochastic Gompertz Diffusion Process by Huapu Lu, He Ma, Zhiyuan Sun, Jing Wang

“…This diffusion model explains the relationship between vehicle ownership and GDP per capita, which has been studied as a Gompertz-like function before. The main innovations of the process lie in two parts: by modifying the deterministic part of the original Gompertz equation, the model can present the remaining slow increase when the S-shaped curve has reached its saturation level; by introducing the stochastic differential equation, the model can better fit the real data when there are fluctuations. …”
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Simulating the overload of medical processes due to system failures during a cyberattack by Markus Willing, Simon Ebbers, Christian Dresen, Marc Czolbe, Christoph Saatjohann, Sebastian Schinzel

“…We use real-world data from a German trauma room to optimize and evaluate the process simulation.…”
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Prioritization of the amount and type of environmental effects of dams by Analytic Hierarchy Process (AHP) by Sayad Yaghoub Zolfegharifar, Azam Saleh Nasab

“…Research data were analyzed using Analytic Hierarchy Process (AHP) and Exoert Choice software. …”
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Reconciliation among the central luo of northern Uganda: The ingredients and process of Mato Oput by Amos Deogratius Mwaka, Willy Obol Olango

“…There are suggestions to adopt Mato Oput as a way to bring about reconciliation in northern Uganda; however, there are limited data on the processes and events that lead to Mato Oput. …”
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Effect of ethyl acetate, time and particle size on the kinetics of the oleoresin extraction process by Olakunle M. S., Ameh A. O., Oyegoke T., Shehu H. U.

“…The effects of particle size and extraction time on oleoresin’s solvent extraction were studied to obtain optimization data. The temperature of the process was kept constant at 40 °C. …”
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Optimizing the early-stage of composting process emissions – artificial intelligence primary tests by Joanna Rosik, Maciej Karczewski, Sylwia Stegenta-Dąbrowska

“…Abstract Although composting has many advantages in treating organic waste, many problems and challenges are still associated with emissions, like NH3, CO and H2S, as well as greenhouse gases such as CO2. …”
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A Review on Biohydrogen Production Through Dark Fermentation, Process Parameters and Simulation by Babak Mokhtarani, Jafar Zanganeh, Behdad Moghtaderi

“…Due to the lack of available data, modelling and simulation of the described processes in ASPEN Plus required certain approximations. …”
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The Nexus Between Good/Bad Governance and Citizens’ Participation in Nigeria’s Electoral Process by Kelechi Johnmary Ani

“…This study focuses on an assessment of the place of good/ bad governance in determining the nature of the electoral process in Nigeria. The study adopted a qualitative approach and used secondary data from other literature sources. …”
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Enhancing Intent Classifier Training with Large Language Model-generated Data by Alberto Benayas, Sicilia Miguel-Ángel, Marçal Mora-Cantallops

“…Intent classification is essential in Natural Language Processing, serving applications like virtual assistants and customer service by categorizing user inputs into predefined classes. …”
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