Plant stem and leaf segmentation and phenotypic parameter extraction using neural radiance fields and lightweight point cloud segmentation networks by Gaofei Qiao, Zhibin Zhang, Bin Niu, Sijia Han, Enhui Yang

“…Meanwhile, based on the principal component analysis (PCA), we further optimize the method to obtain the parameters such as leaf length and leaf width by using PCA principal vectors. Finally, the maize stem thickness, stem height, leaf length, and leaf width obtained from our measurements are compared with the manual test results, yielding R2 values of 0.99, 0.84, 0.94, and 0.87, respectively. …”
Get full text

Surface Deformation and Salt Budget of an Active Salt Fountain, Finu in the Zagros Mountains, Iran, Using Persistent Scatterer Interferometry by Mjahid Zebari, Anke M. Friedrich, Stefanie M. Rieger, Christina Plattner, Jiří Bruthans, Prokop Závada, Beth Kahle, Alessandro Parizzi

“…While salt dissolution is a surface process that can be directly observed, the rate of salt supply from depth is more difficult to constrain. …”
Get full text

The Immune Escape Strategy of Rabies Virus and Its Pathogenicity Mechanisms by Abraha Bahlbi Kiflu

“…In contrast to most other rhabdoviruses, which spread by insect vectors, the rabies virus (RABV) is a very unusual member of the Rhabdoviridae family, since it has evolved to be fully adapted to warm-blooded hosts and spread directly between them. …”
Get full text

Effectiveness of AdaBoost and XGBoost Algorithms in Sentiment Analysis of Movie Reviews by I Gusti Ayu Nandia Lestari, Ni Made Rai Masita Dewi, Komang Gita Meiliana, I Komang Agus Ady Aryanto

“…The data preprocessing process includes several stages such as text cleaning, tokenization, stopword removal, lemmatization, and vectorization using TF-IDF to convert the review text into numeric form, as well as converting the positive and negative labels into 1 and 0. …”
Get full text

Reducing Defense Vulnerabilities in Federated Learning: A Neuron-Centric Approach by Eda Sena Erdol, Hakan Erdol, Beste Ustubioglu, Guzin Ulutas, Iraklis Symeonidis

“…Unlike existing methods that analyze all parameters equally, NC-FLD creates feature vectors from specifically selected neurons that show the highest training impact, then applies dimensionality reduction to enhance their discriminative features. …”
Get full text

Integrated xenosurveillance of Loa loa, Wuchereria bancrofti, Mansonella perstans and Plasmodium falciparum using mosquito carcasses and faeces: A pilot study in Cameroon. by Joseph Pryce, Nils Pilotte, Benjamin Menze, Allison R Sirois, Michael Zulch, Jean Pierre Agbor, Steven A Williams, Charles S Wondji, Lisa Reimer

“…Of these, 376 were preserved immediately while 394 were kept in pools to collect 36-hour E/F samples before processing. Carcasses and E/F were screened for L. loa DNA. …”
Get full text

Theological education and theological enlightenment in modern Russia: Conceptualisation, orientation and development prospects by I. Ya. Murzina, N. A. Simbirtseva

“…It is determined that the educational paradigm is being changed today: the “return” of the religious component to education is considered as an attempt to set a new education coordinate system in the unity of horizontal (institutional) and vertical (meaning-forming) vectors. The authors define the essence of theological education in a broad (the formation of an axiological basis) and narrow (the process and result of the implementation of values in educational practice) sense. …”
Get full text

Few-shot relation extraction approach for threat intelligence based on multi-level attention mechanism and hybrid prototypical network by Yushun Xie, Junchi Bao, Rui Zong, Zhaoquan Gu, Haiyan Wang

“…To enhance the representational capacity of feature vectors, RETI-MA-HP incorporates a self-training module to refine the BERT-based encoder. …”
Get full text

Spectral Hadamard microscopy with metasurface-based patterned illumination by Jo Yongjae, Park Hyemi, Lee Seho, Kim Inki

“…Hadamard matrices, composed of mutually orthogonal vectors, are widely used in various applications due to their orthogonality. …”
Get full text

Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism by Adel Binbusayyis, Mohemmed Sha

“…In the beginning, data pre-processing addresses missing values and performs feature scaling for normalizing independent variables. …”
Get full text

Using transformers and Bi-LSTM with sentence embeddings for prediction of openness human personality trait by Anam Naz, Hikmat Ullah Khan, Tariq Alsahfi, Mousa Alhajlah, Bader Alshemaimri, Ali Daud

“…In this research work, we aim to explore diverse natural language processing (NLP) based features and apply state of the art deep learning algorithms for openness trait prediction. …”
Get full text

One-Step Graph Fusion Fuzzy Clustering Network by Bin Tang, Zhongyang Zhou, Xuewen Liu, Feiyu Chen

“…In recent years, investigators have essentially focused on deep graph clustering, where deep learning techniques are effectively utilized to transform nodes in the graphs into representative vectors for subsequent clustering. Nevertheless, the existence of two main constraints within current methodologies warrants their resolutions: 1) the majority of graph clustering methodologies are bifurcated into two-step, potentially culminating in clustering outcomes that deviate unpredictably from the actual truths; 2) the prevailing graph clustering techniques chiefly employ hard clustering paradigms, that exhibit a lack of interpretability concerning data points situated in boundary regions that may pertain to multiple clusters. …”
Get full text

From Convolution to Attention: Transformer-Based Modeling for Multi-Day Wildfire Spread Forecasting by Parul Dubey, Nitin Rakesh, Pushkar Dubey, Pitshou Ntambu Bokoro

“…The proposed methodology constructs spatiotemporal tensors with learnable positional encodings, processed through a multi-head attention transformer to predict burnt area masks and spread direction vectors. …”
Get full text

Financial Behavior as a Result of People’s Interaction in the Socio-Economic Space by S. V. Makar, A. V. Yarasheva, D. I. Markov

“…In this context, the authors emphasize the scientific significance of studying the process of behavior transformation leading to financial results. …”
Get full text

Multifrequency backscatter classification of seabed sediments using MBES: an integrated approach with ground-truth validation by Moonsoo Lim, Jeongwon Kang, Sunhee Hwang, Eunho Jung, Byung-Cheol Kum, Jongsin Kim

“…Classification was performed using unsupervised clustering methods, including K-means and isodata clustering, with input vectors composed of normalized backscatter intensities from the three frequencies. …”
Get full text

Psychomedical named entity recognition method based on multi-level feature extraction and multi-granularity embedding fusion by Zixuan Liu, Guofang Zhang, Yanguang Shen

“…Abstract Named Entity Recognition (NER) in psychomedicine is one of the key tasks in natural language processing in psychomedicine. It aims to identify and classify specialized terms in psychomedical texts and provide powerful support for downstream tasks. …”
Get full text

Wnt4 and LAP2alpha as pacemakers of thymic epithelial senescence. by Krisztian Kvell, Zoltan Varecza, Domokos Bartis, Sebastian Hesse, Sonia Parnell, Graham Anderson, Eric J Jenkinson, Judit E Pongracz

“…Murine embryonic thymic lobes have also been transfected with LAP2alpha- or Wnt4-encoding lentiviral vectors. As expected LAP2alpha over-expression increased, while additional Wnt4 secretion suppressed PPARgamma expression. …”
Get full text

A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm by Xi Wang, Samad Nourmohammadi

“…To do so, this paper conducted two different word embedding models, namely GloVe and Word2Vec, for vectorization. In this study, Bidirectional Gated Recurrent Unit was employed, since there were two polarities, including positive and negative. …”
Get full text

A Review on the Stability Challenges of Advanced Biologic Therapeutics by Sruthi Sarvepalli, Shashank Reddy Pasika, Vartika Verma, Anusha Thumma, Sandeep Bolla, Pavan Kumar Nukala, Arun Butreddy, Pradeep Kumar Bolla

“…In gene therapy, the brittleness of viral vectors and gene encapsulation limits their stability, requiring the use of stabilizers, excipients, and lyophilization. …”
Get full text

Dynamically tunable robust ultrahigh-Q merging bound states in the continuum in phase-change materials metasurface by Ren Hui, Liu Jietao, Jiang Zengxuan, Zhuang Lingyun, Jiang Botao, Xu Chunhao, Cheng Bo, Song Guofeng

“…However, out-of-plane radiation losses can arise from inherent material absorption and inevitable technological imperfections during fabrication process. Merging BICs have been introduced as a solution to address the issue of out-of-plane radiation losses. …”
Get full text