MODEL AND ALGORITHMS FOR DETERMINING THE LOCATION AND POSITION OF AGRICULTURAL MACHINERY DURING THE MOVEMENT by Andrii Podorozhniak, Oleksii Balenko, Valentyn Sobol

“…The purpose of the work is to develop and research model and algorithms to determine the location and position of mobile agricultural machinery using a physical model. …”
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Neural correlates of emotional working memory predict depression and anxiety by Leiting Li, Leiting Li, Meirong Sun, Meirong Sun, Meirong Sun, Mengdi Qi, Yiwen Li, Dongwei Li, Dongwei Li

“…Our objective is to determine whether trait anxiety and depression levels are associated with specific performance outcomes in emotional WM and whether behavioral and neural indicators demonstrate statistically significant correlations with individual anxiety and depression levels in university students.MethodsIn our research: Experiment 1 (n = 25) tested WM performance with both positive and negative emotional stimuli under different cognitive loads (2 vs. 4 items), while Experiment 2 (n = 34) combined EEG recording to investigate the neural index of anxiety and depression during negative emotional WM.ResultsResults showed that negative emotional stimuli impaired WM performance, especially under higher cognitive loads, with anxiety level being linked to increased theta activity during encoding and depression level associated with decreased alpha activity during retrieval. …”
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Few-Shot Semantic Segmentation Network for Distinguishing Positive and Negative Examples by Feng Guo, Dong Zhou

“…In this work, we propose a novel end-to-end model, called GFormer. …”
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An Ensemble of Vision-Language Transformer-Based Captioning Model With Rotatory Positional Embeddings by K. B. Sathyanarayana, Dinesh Naik

“…Our approach achieves an outstanding 97% increase in CIDEr scores on the Flickr30K dataset and a remarkable 28.6% improvement on the Flickr8K dataset, thanks to the innovative implementation of Rotary Positional Encoding (RoPE). By strategically incorporating GCN and BiLSTM layers, our model adeptly captures essential relationships within the data. …”
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Enhancing surgical object detection in laparoscopic cholecystectomy with explicit positional relationship modeling by Yinan Xu, Yutong Ban, Yue Zhao, Dolores Krauss, Christiane Bruns, Jennifer Eckhoff, Hans Fuchs

“…The model employs a positional relation encoder and refines progressive attention mechanism to analyze object relationships. …”
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GramSeq-DTA: A Grammar-Based Drug–Target Affinity Prediction Approach Fusing Gene Expression Information by Kusal Debnath, Pratip Rana, Preetam Ghosh

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Application of an Inertial Sensor Unit for Position Estimation and Motion Control of the Lower-Extremity Powered Exoskeleton by G. R. Saypulaev, M. R. Saypulaev, I. V. Merkuryev, B. I. Adamov, R. B. Garcia

“…The possibility of using an inertial measuring unit to estimate angular velocities and accelerations of exoskeleton links was considered. The work objective was to develop laws for the formation of the exoskeleton motion control, which could provide the stability of the program motion and use the measurements of encoders, micromechanical gyroscopes and accelerometers.Materials and Methods. …”
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EBV Acalculous Cholecystitis Secondary to Cystic Duct Node Lymphadenitis With Positive EBER in Situ Hybridization by Madeline Vithya Barnaba Durairaj, Samuel Addo, Rahul Sampath, Kyle David Burnette, Suneel Mohammed

“…We describe a rare case of a 27-year-old woman with acute EBV acalculous cholecystitis and hepatitis secondary to cystic duct node lymphadenitis causing compression. EBV-encoded RNA in situ hybridization stained positive within sinusoids of liver and cystic duct lymphoid tissue but negative in gallbladder tissue. …”
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Correlations between expression levels of genes encoding multifunctional YB-1 protein, inflammatory cytokines and multidrug resistance P-gp protein in surgical material from patien... by M. V. Erokhina, E. N. Pavlova, E. A. Scherbakova, E. Yu. Rybalkina, L. N. Lepekha, R. V. Tarasov, E. K. Tarasova

“…There is no correlation found between YBX1 and the genes encoding other cytokines. TGFB1 showed a moderate correlation with TNF (r = 0.56). …”
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Leveraging place field repetition to understand positional versus nonpositional inputs to hippocampal field CA1 by William Hockeimer, Ruo-Yah Lai, Maanasa Natrajan, William Snider, James J Knierim

“…Here, we leverage the phenomenon of ‘place field repetition’ to better understand the functional dissociation between positional and nonpositional information encoded in CA1. …”
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Critical Issues of Alignment Procedures for a Novel Single-Stage Current Source Inverter With Discharge Path by Dario Benatti, Giovanni Migliazza, Emilio Carfagna, Fabio Immovilli, Emilio Lorenzani

“…An alignment procedure for electric drives that employ an incremental encoder for position sensing is designed for this power converter, using a rotor position alignment on one of the active vectors with a predefined startup procedure without the use of any signal injection. …”
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Machine learning-based state of charge estimation: A comparison between CatBoost model and C-BLSTM-AE model by Abderrahim Zilali, Mehdi Adda, Khaled Ziane, Maxime Berger

“…This paper proposes the application of two machine learning-based approaches for SOC estimation that perform well at wide range of temperatures (positive and negative) and varying dynamic loads. The first one is a hybrid deep learning approach based on the Convolutional BLSTM Auto-Encoder (C-BLSTM-AE) model that relies on extracting abstract features from input data. …”
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A C. elegans model for mitochondrial fatty acid synthase II: the longevity-associated gene W09H1.5/mecr-1 encodes a 2-trans-enoyl-thioester reductase. by Aner Gurvitz

“…This is the first report on RNAi work dedicated specifically to curtailing mitochondrial FASII in metazoans. …”
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P-BERT: Toward Long Sequence Modeling by Enabling Language Representation With Prefix Sequence Compression, Soft Position Embedding, and Data Augmentation for Patent Relevance Asse... by Fei Wang, Xingchen Shi, Dongsheng Wang, Yinxia Lou

“…Recent works have increasingly adopted pre-trained language models, such as BERT, to model technical semantics for patent relevance assessment. …”
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Structure-Aware and Format-Enhanced Transformer for Accident Report Modeling by Wenhua Zeng, Wenhu Tang, Diping Yuan, Hui Zhang, Pinsheng Duan, Shikun Hu

“…SAFE-Transformer adopts a dual-stream encoding architecture to separately model symbolic section features and heading text, integrates hierarchical depth and format types into positional encodings, and introduces a dynamic gating unit to adaptively fuse headings with paragraph semantics. …”
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A Novel Research Paradigm for Sarcopenia of Limb Muscles: Lessons From the Perpetually Working Diaphragm's Anti‐Aging Mechanisms by Enhui Li, Rui Wang, Yanli Li, Xiang Zan, Shufen Wu, Yiru Yin, Xiaorong Yang, Litian Yin, Yu Zhang, Jianguo Li, Xin Zhao, Ce Zhang

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PAMFPN: Position-Aware Multi-Kernel Feature Pyramid Network with Adaptive Sparse Attention for Robust Object Detection in Remote Sensing Imagery by Xiaofei Yang, Suihua Xue, Lin Li, Sihuan Li, Yudong Fang, Xiaofeng Zhang, Xiaohui Huang

“…Firstly, we design a position-interactive context module (PICM) that incorporates distance-aware sparse attention and dynamic positional encoding. …”
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Generation of cynomolgus monkey capsid-specific positive control cells for IFNγ ELISpot assays for adeno-associated gene therapy applications by Sandra Casinghino, Karrie Tartaro, Jessica Anderson, Ravindra C. Kodihalli, Sophia G. Lee, Jessie Qian, Patricia A. Schneider, Richard Virgen-Slane, Laurence O. Whiteley, Thomas A. Lanz

“…Identifying robust biomarkers and mechanisms of CMI can aid clinical practice and advancement of AAV gene therapies. The present work evaluated peripheral blood mononuclear cells (PBMC) from non-human primates (NHP) before and after immunization with adenovirus 5 encoding AAV9 capsid antigen. …”
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Experimental Study of the Kinematics of a Double-Row Planetary Mechanism Using Two Elliptical External Gears by A. A. Prikhodko, N. N. Belina, A. V. Novitskiy, M. M. Shchetinin

“…The kinematic model of the mechanism under study is built on the basis of the velocity diagram of its links, which made it possible to obtain expressions for finding an analogue of the angular velocity and the position function of the output shaft. The experimental study of kinematics was performed on a laboratory stand containing a model of a planetary mechanism with a set of replaceable gear wheels, absolute encoders on the input and output shafts of the mechanism, a controller, and a PC for recording and processing the signal. …”
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A multilayer deep autoencoder approach for cross layer IoT attack detection using deep learning algorithms by K. Saranya, A. Valarmathi

“…Modern threat environment concerns include feature representation, scalability, and flexibility demand for improved techniques. This work presents the Multi-Layer Deep Autoencoder (M-LDAE), especially tailored for cross-layer IoT threat detection, to solve these difficulties. …”
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