Ecological-Epizootiological Differentiation of Natural Plague Foci by V. M. Dubyansky, A. Kh. Khalidov

“…The put forward differentiation of focal areas allows for searching the common patterns of plague epizootic process in foci with different species of hosts and vectors, plague microbe variants and geographic setting, as well as for additional typification alongside the existing ones.…”
Get full text

Correlation study on the risk of cardiovascular adverse events in diabetic foot patients based on machine learning - a retrospective cohort study by Liran Zheng, Jiageng Chen, Wenyan Xu, Min Ding, Juan Li, Fenghua Tian, Lei Zhang, Qianqian Li, Shuai Wang, Zeyu Wang, Hairong Ma, Xuecan Cui, Bai Chang, Meijun Wang

“…Multiple imputation (MI) method was used to fill in the missing data. Based on the processed data, in terms of modeling methods, the top three frequently used methods were used. …”
Get full text

In-situ TEM Study of Dislocation Loop Evolution in Tungsten under Dual-ion Beam Irradiation by MA Pengfei1, LIU Yan2, CAO Liuxuan2, ZHANG Yapei1, LI Xiurui1, TIAN Wenxi1, QIU Suizheng1, SU Guanghui1

“…As irradiation progresses, dislocation loops gradually nucleate, forming small-sized dislocation loops. The nucleation process spans the entire dislocation loop evolution loops process. …”
Get full text

Seed-Borne Endophytes and Their Host Effects by Hongyan Hu, Shucun Geng, Youyong Zhu, Xiahong He, Xiaoxia Pan, Mingzhi Yang

“…In the process of long-term co-evolution, endophytes and host plants benefit from and interact with each other, resulting in positive effects such as promoting plant growth, enhancing resistance, producing beneficial secondary metabolites, and negative effects such as carrying pathogens and producing toxins. …”
Get full text

A Deep Neural Network-Based Approach for Sentiment Analysis of Movie Reviews by Kifayat Ullah, Anwar Rashad, Muzammil Khan, Yazeed Ghadi, Hanan Aljuaid, Zubair Nawaz

“…The number of comments/reviews for movies is enormous and cannot be processed manually. Therefore, machine learning techniques are used to efficiently process the user’s opinion. …”
Get full text

The POD-based reduced-dimension study on the two-grid finite element method for the nonlinear time-fractional wave equation by Liang He, Yihui Sun, Zhenglong Chen, Fei Teng, Chao Shen, Zhendong Luo

“…The RDTGFE method can not only greatly reduce the unknowns of the CTGFE method and the simplify computational process but also greatly save CPU runtime and improve the computational efficiency. …”
Get full text

Non-Redundant Feature Extraction in Mobile Edge Computing by Xiaojun Chen, Qi Wang, Chuntao Ding

“…The goal of this paper is to reduce the amount of data uploaded by IoT devices to the cloud/edge server by removing redundant vectors of the feature extractor, thereby reducing the data transmission time and the time it takes for the cloud/edge server to process features, and improving image recognition accuracy. …”
Get full text

Intraoperative Surgical Navigation and Instrument Localization Using a Supervised Learning Transformer Network by Junjun Huang, Tianran He, Juan Xu, Weiting Wu, Wei Wu

“…The framework’s Instrument sequence creation network, utilizes a transformer encoder-decoder to generate instrument candidates, while a memory decoder integrates these proposals with track vectors to predict instrument locations and class, significantly minimizing the need for extensive post-processing. …”
Get full text

Innovative Tailored Semantic Embedding and Machine Learning for Precise Prediction of Drug-Drug Interaction Seriousness by Ayman Mohamed Mostafa, Alaa S. Alaerjan, Hisham Allahem, Bader Aldughayfiq, Meshrif Alruily, Alshaimaa A. Tantawy, Mohamed Ezz

“…This study explores applying advanced machine-learning strategies, particularly improved semantic vectors, to predict the severity of drug-drug interactions (DDIs), a crucial element in pharmacovigilance. …”
Get full text

Identification of a novel transcript of mouse Sdha by María J. Esteban-Amo, Amaia Telleria, Dino Gobelli, Pablo Serrano-Lorenzo, Juan J. Tellería, María T. Pérez-García, Piotr Kozlowski, Miguel Á. de la Fuente, María Simarro

“…Abstract Objective This study aimed to identify novel isoforms of mouse succinate dehydrogenase complex flavoprotein subunit A (Sdha) arising from internal exon skipping, analogous to the process observed in human ortholog SDHA. Results We identified a novel isoform, designated Δ3-10, which lacked the final 104 nucleotides of exon 3 and all of exons 4 through 10, yet did not alter the reading frame. …”
Get full text

PLASMOpred: A Machine Learning-Based Web Application for Predicting Antimalarial Small Molecules Targeting the Apical Membrane Antigen 1–Rhoptry Neck Protein 2 Invasion Complex by Eugene Lamptey, Jessica Oparebea, Gabriel Anyaele, Belinda Ofosu, George Hanson, Patrick O. Sakyi, Odame Agyapong, Dominic S. Y. Amuzu, Whelton A. Miller, Samuel K. Kwofie, Henrietta Esi Mensah-Brown

“…<b>Method:</b> Data was retrieved from the PubChem database (AID 720542), comprising 364,447 inhibitors and non-inhibitors of the AMA-1–RON2 interaction. The data was processed by computing Morgan fingerprints and divided into training and testing with an 80:20 ratio, and the classes in the training data were balanced using the Synthetic Minority Oversampling Technique. …”
Get full text

Regulation of the Launch of Orphan Drugs on the Market of the Eurasian Economic Union as a Mechanism to Increase the Availability of Treatment for Rare Diseases (Review) by A. V. Foteeva, N. A. Koneva, O. S. Beloglazova, N. B. Rostova

“…Providing high-quality, effective and safe drugs intended for the treatment of rare (orphan) diseases among the population of the Member States of the Union is one of the most significant and promising development vectors for manufacturers-developers. Ensuring the availability of medicines (MP) for patients suffering from rare diseases should be regulated by state incentives for the development and launch of orphan drugs on the market by domestic manufacturers through updating and timely updating of regulatory legal acts in the field of drug registration, as well as providing benefits when initiating the registration process.Text. …”
Get full text

Mixed-Embeddings and Deep Learning Ensemble for DGA Classification With Limited Training Data by Christian Morbidoni, Alessandro Cucchiarelli, Luca Spalazzi

“…Recent papers in the cybersecurity research field of Domain Generation Algorithms (DGAs) detection show the increase of performances associated with the introduction of unsupervised neural vectorized representation of domain names in the supervised classification process. …”
Get full text

Social Networks Link Prediction Based on Incremental Learning by Jian SHU, Zhichen CHEN

“…In the prediction model, a multilayer perceptron (MLP) is utilized to construct the mutual perceptron, which predicts links by processing the embedding vectors of node pairs. The specific process of the node embedding model consists of temporal random walks, an incremental update strategy for random walk sequences, an incremental skip-gram model, and extracting the correlation of causal relationships. …”
Get full text

Influence of phenol-formaldehyde and melamine-formaldehyde resins on the gasification of high-pressure laminate waste materials by Francisco Wendell Bezerra Lopes, Fábio Gonçalves Macêdo de Medeiros, Eduardo Lins de Barros Neto, Jean-Michel Lavoie, Bruna Rego de Vasconcelos

“…The repurposing of industrial solid wastes for sustainable energy production figures as a convenient alternative to decrease the carbon footprint of industrial processes by increasing circularity and reducing the utilization of fossil-based energy vectors. …”
Get full text

Estimation of heat transfer parameters by using trained POD-RBF and Grey Wolf Optimizer by Minh Ngoc Nguyen, Nha Thanh Nguyen, Thien Tich Truong

“…In order to accelerate the process, the model order reduction technique Proper-Orthogonal-Decomposition (POD) is used. …”
Get full text

Current Tick Control Strategies and Prospects for Using Nanotechnology as an Efficient Alternative—A Review by Rafaela Regina Fantatto, João Vitor Carvalho Constantini, Flávio Augusto Sanches Politi, Rodrigo Sorrechia, Camila Cristina Baccetti Medeiros, Marcela Tavares Luiz, Gervásio Henrique Bechara, Ana Carolina de Souza Chagas, Marlus Chorilli, Rosemeire Cristina Linhari Rodrigues Pietro

“…Ticks pose significant challenges to public and veterinary health, acting as vectors of several diseases that affect animals and humans. …”
Get full text

Child-Sum (N2E2N)Tree-LSTMs: An interactive Child-Sum Tree-LSTMs to extract biomedical event by Lei Wang, Han Cao, Liu Yuan

“…To enhance node representation, we propose an interaction mechanism that can alternately updating nodes and edges vectors, thus the model can learn the richer nodes vectors. …”
Get full text

Enhancement in Bearing Fault Classification Parameters Using Gaussian Mixture Models and Mel Frequency Cepstral Coefficients Features by Youcef ATMANI, Said RECHAK, Ammar MESLOUB, Larbi HEMMOUCHE

“…Throughout, only one criterion is defined for the evaluation of the performance during all the cycle of the classification process. This is the Average Classification Rate (ACR) obtained from the confusion matrix. …”
Get full text

HALFORD MACKINDER AND THE GEOGRAPHICAL FORMATION OF POLITICS IN THE EARLY by Artamoshin S. V., Sagimbaev A.V., Fedin A.V.

“…The article attempts to analyze the process of intellectual design of geopolitical thought, which in the early twentieth century, when on the eve of the Great War an attempt was made to form a geographical certainty of foreign policy strategy. …”
Get full text